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data mesh the 4 principles of the distributed architecture
Data Mesh: The 4 Principles of the Distributed Architecture
data mesh the 4 principles of the distributed architecture
Data mesh—a relatively new term—is essentially an evolution of data architecture, influenced by decades of thought, research and experimentation. Read on to learn more.

A data mesh is a decentralised architecture devised by Zhamak Dehghani, director of Next Tech Incubation, principal consultant at Thoughtworks and a member of its technology Advisory Board.

According to Thoughtworks, a data mesh is intended to; “address[es] the common failure modes of the traditional centralised data lake or data platform architecture”, hinging on modern distributed architecture and “self-serve data infrastructure”.

Key uses for a data mesh

Data mesh’s key aim is to enable you to get value from your analytical data and historical facts at scale. You can apply this approach in the case of frequent data landscape change, the proliferation of data sources, and various data transformation and processing cases. It can also be adapted depending on the speed of response to change.

There are a plethora of use cases for it, including:

  • Building virtual data catalogues from dispersed sources
  • Enabling a straightforward way for developers and DevOps team to run data queries from a wide variety of sources
  • Allowing data teams to introduce a universal, domain-agnostic, automated approach to data standardization thanks to data meshes’ self-serve infrastructure-as-a-platform.

There are four key principles of distributed architecture. Let’s take a look at these in more detail.

 

Four core principles underpinning distributed architecture

The principles themselves aren’t new. They’ve been used in one form or another for quite some time, and, indeed, ELEKS has used them in various ways for a number of years. However, when applied together, what we get is, as Datameer describes it: “a new architectural paradigm for connecting distributed data sets to enable data analytics at scale”. It allows different business domains to host, share and access datasets in a user-friendly way.

1. Domain-oriented decentralised data ownership and architecture

The trend towards a decentralised architecture started decades ago—driven by the advent of service-oriented architecture and then — by microservices. It provides more flexibility, is easier to scale, easier to work on in parallel and allows for the reuse of functionality. Compared with old-fashioned monolithic data lakes and data warehouses (DWH), data meshes offer a far more limber approach to data management.

Embracing decentralisation of data has its own history. Various approaches have been documented in the past, including decentralised DWH, federated DWHs, and even Kimball’s data marts (the heart of his DWH) are domain-oriented, supported and implemented by separate departments. Here at ELEKS, we apply this approach in situations whereby multiple software engineering teams are working collaboratively, and the overall complexity is high.

During one of our financial consulting projects, our client’s analytical department was split into teams based on the finance area they covered. This meant that most of the decision-making and analytical dataset creation could be done within the team, while team members could still read global datasets, use common toolsets and follow the same data quality, presentation and release best practices.

2. Data as a product

This simply means applying widely used product thinking to data and, in doing so, making data a first-class citizen: supporting operations with its owner and development team behind it.

Creating a dataset and guaranteeing its quality isn’t enough to produce a data product. It also needs to be easy for the user to locate, read and understand. It should conform to global rules too, in relation to things like versioning, monitoring and security.

3. Self-serve data infrastructure as a platform

A data platform is really an extension of the platform businesses use to run, maintain and monitor their services, but it uses a vastly different technology stack. The principle of creating a self-serve infrastructure is to provide tools and user-friendly interfaces so that generalist developers can develop analytical data products where, previously, the sheer range of operational platforms made this incredibly difficult.

ELEKS has implemented self-service architecture for both analytical end-users and development teams—self-service BI using Power BI or Tableau—and power users. This has included the self-service creation of different types of cloud resources.

4. Federated computational governance

This is an inevitable consequence of the first principle. Wherever you deploy decentralised services—microservices, for example—it’s essential to introduce overarching rules and regulations to govern their operation. As Dehghani puts it, it’s crucial to “maintain an equilibrium between centralisation and decentralisation”.

In essence, this means that there’s a “common ground” for the whole platform where all data products conform to a shared set of rules, where necessary while leaving enough space for autonomous decision-making. It’s this last point which is the key difference between decentralised and centralised approaches.

 

The challenges of data mesh

While it allows much more room to flex and scale, data mesh, as every other paradigm, shouldn’t be considered as a perfect-fit solution for every single scenario. As with all decentralised data architectures, there are a few common challenges, including:

  • Ensuring that toolsets and approaches are unified (where applicable) across teams.
  • Minimise the duplication of workload and data between different teams; centralised data management is often incredibly hard to implement company-wide.
  • Harmonising data and unifying presentation. A user that reads interconnected data across several data products should be able to map it correctly.
  • Making data products easy to find and understand, through a comprehensive documentation process.
  • Establishing consistent monitoring, alerting and logging practices.
  • Safeguarding data access controls, especially where a many-to-many relationship exists between data products.

 

Summary

As analytics becomes increasingly instrumental to how society operates day-to-day, organisations must look beyond monolithic data architectures and adopt principles that promote a truly data-driven approach. Data lakes and warehouses are not always flexible enough to meet modern needs.

Data meshes make data more available and discoverable by those that need to work with it, while making sure it remains secure and interoperable.

Want expert advice on how to maximise your data’s potential? 

We are happy to answer your questions. Get in touch with us any time!

Originally published at ELEKS blog

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mlops comprehensive beginners guide
MLOps: Comprehensive Beginner’s Guide

mlops comprehensive beginners guide

MLOps, AIOps, DataOps, ModelOps, and even DLOps. Are these buzzwords hitting your newsfeed? Yes or no, it is high time to get tuned for the latest updates in AI-powered business practices. Machine Learning Model Operationalization Management (MLOps) is a way to eliminate pain in the neck during the development process and delivering ML-powered software easier, not to mention the relieving of every team member’s life.

Let’s check if we are still on the same page while using principal terms. Disclaimer: DLOps is not about IT Operations for deep learning; while people continue googling this abbreviation, it has nothing to do with MLOps at all. Next, AIOps, the term coined by Gartner in 2017, refers to the applying cognitive computing of AI & ML for optimizing IT Operations. Finally, DataOps and ModelOps stand for managing datasets and models and are part of the overall MLOps triple infinity chain Data-Model-Code. 

While MLOps seems to be the ML plus DevOps principle at first glance, it still has its peculiarities to digest. We prepared this blog to provide you with a detailed overview of the MLOps practices and developed a list of the actionable steps to implement them into any team.

mlops comprehensive beginners guide

MLOps: Perks and Perils

 

Per Forbes, the MLOps solutions market is about to reach $4 billion by 2025. Not surprisingly that data-driven insights are changing the landscape of every market’s verticals. Farming and agriculture stand as an illustration with AI’s value of 2,629 million in the US agricultural market projected for 2025, which is almost three times bigger than it was in 2020.

 

To illustrate the point, here are two critical rationales of ML’s success —  it is the power to solve the perceptive and multi-parameters problems. ML models can practically provide a plethora of functionality, namely recommendation, classification, prediction, content generation, question answering, automation, fraud and anomaly detection, information extraction, and annotation. 

MLOps is about managing all of these tasks. However, it also has its limitations, which we recommend to bear in mind while dealing with ML models production:

  • Data quality. The better the data one has, the better the model can produce to resolve a business problem.

  • Model decay. Real-life data changes with the flow of time, and one should manage this on the fly.

  • Data locality. The model, which are pretrained on different user’s demographics, can not perform respectively while transferring to other markets.

mlops comprehensive beginners guide 1

Meanwhile, MLOps is particularly useful when experimenting with the models undergoing an iterative approach. MLOps is ready to go through as many iterations as necessary as ML is experimental. It helps to find the right set of parameters and achieve replicable models. Any change in data versions, hyper-parameters, and code versions leads to the new deployable model versions that ensure experimentation.

ML Workflow Lifecycle

Every ML project aims to build a statistical model out of the data, applying a machine learning algorithm. Hence, Data and ML Model come out as two different artifacts to the software development of the Code Engineering part. In general, ML Lifecycle consists of three elements:

  • Data Engineering: supplying and learning datasets for ML algorithms. It includes data ingestion, exploration and validation, cleaning, labeling, and splitting (into the training, validation, and test dataset).

  • Model Engineering: preparing a final model. It includes model training, evaluation, testing, and packaging.

  • Model Deployment: integrating the trained model into the business application. Includes model serving, performance monitoring, and performance logging.

mlops comprehensive beginners guide 2

Source: Microsoft

MLOps, Explained: When Data & Model Meet Code

 

As ML introduces two extra elements into the software development lifecycle, everything becomes more complicated than the use of DevOps for any software development. While MLOps still seeks for source control, unit and integration testing, and continuous delivery of the package, it brings some new differences, compared to DevOps:

 

  • Continuous integration (CI) applies to the testing and validating data, schemas, and models, not only refers to the code and components. 
  • Continuous deployment (CD) refers to the whole system, which is to deploy another ML-provided service, but not to the single software or service.
  • Continuous training (CT) is unique to the ML models and stands for model service and retraining.
    mlops comprehensive beginners guide 3Source: Google Cloud

The level of each step of data engineering automation, model engineering, and deployment define the overall maturity of MLOps. Ideally, CI and CD pipeline should be automated to define the mature MLOps system. Hence, there are three levels of MLOps, categorized and based on the level of processes automation:

 

  • MLOps level 0: a process of building and deploying of ML model is entirely manual. It is sufficient for the models that are rarely changed or trained. 
  • MLOps level 1: continuous training of the model by automating the ML pipeline, good fit for models based on the new data, but not for new ML ideas.
  • MLOps level 2: CI/CD automation lets work with new ideas of feature engineering, model architecture, and hyperparameters.

 

In contrast to DevOps, model reuse is a different story as it needs manipulations with data and scenarios, unlike software reuse. As the model decays over time, there is a need for model retraining. In general, data and model versioning is “code versioning” in MLOps, which seeks more effort compared to DevOps.

 

Benefits and Costs

 

To think through the MLOps hybrid approach for a team, which is implementing it, one needs to assess the possible outcomes. Hence, we’ve developed a generalized pros-and-cons list, which may not apply to every scenario. 

MLOps Pros:

  • Automatic updating of multiple pipelines, which is terrific as it is not about a simple single code file task
  • ML Models scalability and management — depending on scope, thousands of model can be under control
  • CI and CD orchestrated to serve ML Models (depending on MLOps’ maturity level)
  • ML Model’s health and governance — simplified management of the model after deployment
  • A useful technique for people, process, and technology to optimize ML products development

 

We assume that it might take some time for any team to adapt to the MLOps and develop its modus operandi. Hence, we are proposing a list of possible “stumbling stones” to foresee:

 

MLOps Costs:

  • Development: more frequent parameters, features, and models manipulation, non-linear experimental approach compared to DevOps
  • Testing: includes data and model validation, model quality testing
  • Production and Monitoring: MLOps needs continuous monitoring and auditing for accuracy
    • memory monitoring —  memory usage monitoring when performing predictions
    • model performance monitoring —  models retraining applies with time as data can change, which can affect the results
    • infrastructure monitoring —  continuous collection and review of the relevant data
  • Team: invest time and efforts for data scientists and engineers to adopt
    mlops comprehensive beginners guide 4

Getting Started with MLOps: Actionable Steps

 

MLOps requires knowledge about data biases and needs high discipline within the organization, which decides to implement it. 

mlops comprehensive beginners guide 5

As a result, every company should develop its own set of practices to adjust MLOps to its development and automation of the AI force. We hope that the guidelines mentioned contribute to the smooth adoption of this philosophy into your team.

The article was originally posted on SciFoce blog.

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epoch and map of the energy transition through the consensus validator
Epoch and Map of the Energy Transition through the Consensus Validator

Epoch0: 1618000449

epoch and map of the energy transition through the consensus validator

“Transform limits into constraints to create flexibility” — Roberto Quadrini

Goal: Discuss solutions, methodologies, systems, projects to support the Energy Transition towards Energy Convergence

Target: Operators, Customers, Regulators, Legislators, Inventors, Academics, Scientists, Enthusiasts

Market: #EnergyTransition

Power: [mW]

TAG: #Epoch #Optimize #PowerMarket #Blockchain #Method #EnergyOptimization #DemandSideResponseAggregator #Electricity #EnergyTransition #DemandSide #ResponseSide #EnergyConvergence #CommoditiesAsAService #EnergyMarket #Supply #Demand #Validator #EU #Response #FlexibilityServices #Ledger #Pool #Consensus #Staking #Mining #EpochONE #MathModel #Algorithm #MachineLearning #DeepLearning #Artificialntelligence #Blockchain #ElectricalFlexibility #Resilience #EnergyCommunity #DemandResponse #GreenDeal #NegaWhEXchange

Inspiration: #Aristotle, #GalileoGalilei, #LudwigVonMises #LuigiEinaudi#AbrahamCresques

Ledger: Roberto Quadrini [IT]

Validator: Stefano Melchior [ES]; Giorgio D’amico [CH]

Patents: Publication list

Bibliotex: [1] Energy Transitions Indicators (www.iea.org); [2] Unix TimeStamp — Epoch Converter (unixtime.org); [3] Agenda 2030 (unric.org/it/agenda-2030)

epoch and map of the energy transition through the consensus validator 1

Photo by Launchpresso on Unsplash

Ledger

The Ledger is an inventor and one of the Tecnalogic’s founders. Tecnalogic is a R&D company that aims to #Optimize the current #PowerMarket, enabling the operators to evolve in a distributed, decentralized ecosystem, as to #Blockchain model.

We operate with a multidisciplinary #Method (engineering, computer science, mathematics and economics) focusing the work on #EnergyOptimization, integrating them into a single model, through the virtualization of the areas relating to supply and demand #DemandSideResponseAggregator.

Our vision is based on nature, #Electricity, and which must be managed as the Mother of Raw Materials for the development of human activities in harmony with the environmental, economic and physical context.

The #EnergyTransition is NOT a transition mode FROM one energy source to another, but the transition from a disaggregated energy consumption approach #DemandSide to an aggregated one integrated with the supply #ResponseSide. This transition is strategic for #EnergyConvergence model, where commodities will evolve into customer services #CommoditiesAsAService through an economic exchanges, reducing costs marginal due to “waste” due to unmanaged energy.

The #EnergyMarket is based on #Supply and not on #Demand. This model has created an economic model “cost-centric” which is “helped” by incentives strategy, with a “long-term costs for the system” approach.

This “epoch” initiative is intended to be the starting point for mapping, as did the Buxoler, author of the “Mappa Mundi”, the strategies, systems, methods, algorithms and technologies to trace the path of the #EnergyTransition towards its #EnergyConvergence.

epoch and map of the energy transition through the consensus validator 2

The initiative is aimed at an audience of different scientific, professional, cultural backgrounds, to all those interested in making contributions, proposing alternatives with the different solutions, but all in the direction to support the stakeholders (Operators, Customers, Legislators) studying the strategies and solutions for these changing markets.

#EU has great technologic know-how, which must be made operational, we have developed everything in this direction (methods, algorithms, math models), and are ready to enable #EnergyTransition.

Each #Epoch is also validated in other countries (through the consensus process), where we propose this vision of the #EnergyConvergence, through the first step of the #EnergyTransition. In Spain the #Validator is Stefano Melchior, in Switzerland #Validator is Giorgio D’Amico.

The validation process, identical to that of the blockchains, enables each #Validator to present issues related to their country, the projects in progress, the legislative news and to make their stakeholders aware of the #Validator’s work in #EU.

The goal is to converge towards the decentralized electricity grid model, which through DIRECTIVE (EU) 2019/944, creates a decentralized, flexible, market by reducing pollution due not planning of #Demand(Energy Consumption) using only #Response (Energy Production).

All the information, the methodologies described in the #Epoch, the intellectual properties are extracted from the patents listed therein and owned by Tecnalogic.

Patents

epoch and map of the energy transition through the consensus validator 3

Launch a structured path with the following objectives in each country where Tecnalogic’s #Patents are active, with the coordination of reference subjects with specific geographical expertise:

  • dissemination of consent
  • increasing awareness of existing problems
  • proposal of possible solutions
  • qualification of business opportunities
  • partnerships (commercial, scientific, financial)
  • training activities (webinars, workshops, courses)
  • technical activity (analysis, consultancy, projects)
  • #FlexibilityServices presentation
  • business opportunity

Once the pre-qualification process has been completed according to agreed specifications, all business opportunities will be conveyed by the relevant coordinator to Tecnalogic, which will deal with the final qualification of the opportunity and consequently will define together with the coordinator a proposal for the identified counterpart.

Once the proposal has been accepted, the activity will be provided by Tecnalogic, where provided with the technical and / or commercial support of the coordinator and its structure.

Perspectives

Upon successful completion of a series of operational activities in a particular country, it will be possible to evaluate the opportunity to create an operating company consisting of the following subjects:

  • one or more financial partners
  • the coordinator who contributed to the development of the business
  • Tecnalogic

Actors

  • Tecnalogic [#Ledger]: creator and first promoter of the methodology in Italy, central point of reference to address all opportunities
  • national coordinators [#Validator]: reference figures who represent Tecnalogic’s thinking in the reference country, contributing to its dissemination and subsequent application
  • industrial partners, academic partners, Customers [#Pool]: subjects who show interest in deepening, supporting, adopting the solutions proposed by Tecnalogic

epoch and map of the energy transition through the consensus validator 4

Preliminary Steps

  • Dissemination [#Consensus]: ​​progressive promulgation #Epoch of Tecnalogic’s vision in each country through specific contents created for social channels, associations, study groups, media, think tanks, institutions; in addition to being published in the local language of the country, the topic of common interest is completed with specific details and examples of the country in question, according to an agreed and simultaneous editorial plan between all the subjects involved.
  • Collection [#Staking]: the coordinator collects issues related to the #EnergyTransition, legislative indications, promotional activities between associations, local industry needs, and qualified business opportunities within his area of ​​competence.
  • Operations [#Mining]: pre-qualified opportunities (interlocutor, activity, goal) are proposed to Tecnalogic for the organization of dedicated in-depth meetings for the definition of operational activities.

Advanced stages

Establishment of operating company #EpochONE.

#Validator will be entitled to a corporate share and will be an active part of the team, operating in one or more of the following areas:

  • management
  • commercial
  • marketing

The company will have a sub-license to use Tecnalogic’s patented methods, which depending on the terms of the agreement will have:

  • geographical limitation to one or more countries
  • exclusivity or non-exclusivity for a single country

epoch and map of the energy transition through the consensus validator

Validators distribution

epoch and map of the energy transition through the consensus validator 5

Who we are

Research and development company that for over 8 years has been carrying out its contribution to the #EnergyTransition up to the #EnergyConverge, a stage in which the virtualization, through digitalization, of energy vectors, opens the energy market to the #CommoditiesAsAService business model.

It has filed method patents in the main countries and makes its know-how available to operators and through the technology transfer phase enables the creation of startups based on business models aimed at # EnergyAsAService, through #MathModel #Algorithm, #MachineLearning, #DeepLearning and #Artificialntelligence on #Blockchain technology.

Our points of reference

  • Agenda 2030. Since its publication (1 January 2016) we have made the values ​​of the Agenda our own, in particular objectives 7 and 13;
  • Recognition of the importance of Customers’ #Demand and their #ElectricalFlexibility mapped and created by Tecnalogic methods;
  • Need to balance the electricity grids in order to reduce consumption, increase #Resilience and operate with #ElectricalFlexibility;
  • Respect and make applicable the Community Directives, in particular the DIRECTIVE (EU) 2019/944 and the relative REGULATION (EU) 2019/943;
  • Operate according to the directives of the EU planning and control bodies;
    Support for renewable energies and optimization of the networking of their production (essential for the 2030 Agenda).
    #EnergyCommunity and their role in participation: #DemandResponse, #Resilience and the #ElectricalFlexibility market.

Our #NegaWhEXchange platform will contribute to the following #GreenDeal goals:

  • Provide clean, cheap and safe energy;
  • Provide clean, cheap and safe energy;Building and renovating in an energy and resource efficient way;
  • Accelerate the transition to sustainable and smart mobility.

The balancing of electricity consumption and the integration of distributed generation plants from renewable sources benefit from the exploitation of the digital energy flow maps provided by #NegaWhEXchange, therefore the use of the platform can significantly reduce the carbon footprint by optimizing the congestion and reducing the need for fossil fuel power plants held in reserve to resolve the grid imbalance.

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trends in custom software development in 2021
Trends in custom software development in 2021

trends in custom software development in 2021

The increasing constraints of the perimeter have opened up avenues for technological invention. Although there are some serious concerns regarding web applications’ security, developments around the world have not stopped. However, this has resulted in the increased use of technology, providing companies with new ways of doing business and recent software trends.

 

In almost every industry sector, the market dynamics are changing, which has changed the phase of technology as we know it today. But it’s not just technology and technology trends evolving; many things have changed this year to create a new norm for custom software development. Times are changing, forcing us to stay at home and endure the changes of a non-contact world.

 

Apart from the pandemic’s depressing year, we are also pushing forward with technological inventions and digital transformation at an unprecedented pace. We have never stopped growing and driving business continuity, with companies like Zoom, RazorPay, Zomato, Netflix, One 97 communications, and many more disrupting the year with unstoppable technology-based solutions.

 

One thing that is constantly growing is custom software development technology, which is also innovative. Every day we are introduced to advanced ways of making our lives easier. As more and more of these technologies become available, we need to improve our skills to train robots to be more like humans in the future.

 

So, without further ado, let’s take a deep dive into some of the disruptive technologies that are already changing the world and could lead to other advances in technology-enabled operations. In this blog, we’ll look at the top 10 trends in custom software development technologies that can help companies automate, strategically plan, and improve profitability.

 

The following is a list of technologies that will bring about radical change and turn the business world upside down.

 

| 1. Progressive Web App (PWA).

 

As web and mobile apps continue to evolve, much has been said and heard about PWAs. What is a Progressive Web App?

 

Progressive Web App developed with a long-term vision that focuses on the larger ecosystem, allowing users to build web apps with easier plugin integration, cache push APIs, and easier web usage for their apps. This simplification of the app provides a modern and convenient way to install the app on the home screen, enable push notifications, and do so even with a low internet connection. This type of custom software development is suitable for both mobile and web apps.

 

According to a study by the Top 30 PWAs Report, the average Progressive Web App to have a 36% higher conversion rate than other native smartphone apps.

 

Adopting such a progressive approach can make a significant difference to sales and revenue. This gap can also attribute to the rapid adoption of this technology. APIs are more compatible, can be fragmented more efficiently, and do not require maintaining the same version of website code used than other native apps.

 

| 2. Cross-platform development tools

 

Let’s say you are free to develop your app using a language known worldwide (e.g., Javascript). But who wants to go through the work of converting the code, making it compatible with other devices, testing the code, and finally deploying it? Which is the reason why cross-platform development tools have become a savior.

 

According to global statistics, the projected revenue from mobile app development, including paid downloads, in-app purchases, and advertising, is nearly $600 billion. As business apps become the standard for emerging businesses, this figure expects to rise even further.

 

Besides, Forrester reports that more than 60 percent of enterprises are now involved in cross-platform creation. IDC expects the market for cross-platform development solutions to grow at a compound annual growth rate of more than 38 percent, reaching US$4.8 billion by 2017.

 

More and more companies are adopting them because of the benefits they offer to businesses, including

 

Cost-effective – reduce the cost of programming in multiple languages for different devices.

Flexibility: Works seamlessly across all types of devices.

Time to market: Code prepares so you can deploy straight away.

Consistency – Compatible code formats so everything is written in the same form.

Reduced effort: You don’t have to put in extra effort to develop the same code in different languages. You can use the same code with cross-platform development tools.

 

| 3. Cloud technology

 

By 2022, all other countries will be years behind the US in “cloud computing usage” – Gartner.

 

There is no doubt that most companies are preparing to adopt cloud platforms. And nothing is stopping them from doing so. That’s because cloud technology offers many benefits, and businesses will reap the rewards every step of the way.

 

The cloud-first mentality is on all executives’ minds, and they want to move to a cloud platform, regardless of their domain or business. Cloud-first encompasses various functions, from storing data to processing, accessing, managing, and delivering it in the cloud. It is an all-in-one solution that can help your business save money and reduce annual operating costs.

 

Grandview Research has produced an insightful report on why and how people are turning to cloud technology. Below is one of their research images.

 

| 4. Big data computing – the heart of Apache Spark data mining.

 

People’s new norm has made them dependent on different types of gadgets and mobile phones, allowing most of them to collect as much data as they want. It has added information to the ocean of Big Data. We are responsible for increasing this ocean of knowledge and enabling many to make money. 

 

 Big Data will have access to data that will help them get a bigger picture of their business, save on research and analysis costs, improve pricing and estimates, and ultimately increase the revenue curve, which increases customer satisfaction.

 

| 5. Voice commerce

“Hey, Siri” or “Ok Google” are two of the most effective ways to ask a query and get a solution. Does this mean that Google offers voice commerce services? No, they don’t provide these services, but they help us solve our problem by providing accurate results. 

 

Trends in voice search software

Actual voice commerce means searching for something on the internet using smartphones or speakers, desktops or laptops, or any smart device like Amazon Echo or Alexa. As the world has over by voice commerce (consciously or subconsciously both ways), we have seen a growth in this type of search instead of what we traditionally use to type into a search box and submit a query.

 

In a survey conducted by Capgemini on this topic, 35% of respondents reported buying a voice product. They also performed this survey for online purchases made via voice commerce, and the graph showed the same information.

 

Below is a snapshot of what we showed companies using voice search.

 

| 6. AR-VR

You like games with 3D effects that make you feel like you’re running through backyards and shooting enemies with a gun in your hand. It’s not just in the game; nowadays, we have AR images superimposed by technologically advanced cameras. There are filters, lenses, virtual showrooms, virtual tours of future homes that we implicitly use as AR-VR, but we are unsure what purpose it serves.

 

The AR-VR market is growing at an unprecedented rate. Several research companies are already conducting studies to understand the future scope of each of these technologies. One such study suggests that mobile AR will grow from $3.9 billion to $21.02 billion in 2019. 

 

Given that many apps design for a quarantine environment, this will significantly impact trends such as social lenses or remote AR.

 

| 8. e-commerce app development

 

The advent of e-commerce app development has seen a surge in the number of people using them to sell all kinds of goods for everyday use and industrial operations. The e-commerce platform has been a boon for most of us in those unfortunate times when we cannot go out. E-commerce platforms like Amazon, eBay, Alibaba, and others have made life easier. 

 

Most e-commerce businesses use an e-commerce store and an e-commerce website to carry out online marketing and sales and keep track of logistics and deliveries.

 

eMarketer also predicts that the size of the virtual reality market will grow significantly in the coming years. The virtual reality industry’s measure expects to grow from over $195 billion in 2017 to over $195 billion in 2025,  

 

Shopping and selling on e-commerce platforms will get even better shortly. Chatbots provide virtual shopping assistance, voice assistants, AR-VR technology to enhance the virtual shopping experience, blockchain technology, and even droids. 

These are some of the critical innovations you will soon see.

 

One of them has already conquered the e-commerce world. It is the voice assistant, now known as voice commerce.

 

| 9. CI/CD integration

 

The last item on this list is CI/CD integration. We know that CI/CD is a pipeline for continuous integration and continuous delivery from a technical perspective. In practice, it is about closing the gaps in the day-to-day development, testing, and building applications to make the most of automation.

 

All manual bugs fix without delay, and the entire pipeline is standardized to speed up testing and deployment.DevOps is based on a similar approach and increases reliability and speeds up the top development companies in India 

 

Puppet, a CI/CD integration leader with its development tools, has built a platform that automates complex and demanding processes using CI/CD principles. One of the company’s technical managers tweeted the following from a CI/CD integration perspective.

| 10. Low-code/no-code platform

According to a study by Gartner Research, “low-code application development will account for more than 65% of application development by 2024”.

 

This buzzword leaves many digital footprints, and most of you have probably heard or read about this type of technology. To clarify, let’s start by defining what a low-code or no-code platform is.

 

Low-Code is one of the fastest ways to build an application without writing actual code. It is a visual representation of tools that the user can drag and drop or point and click. It takes less time and leverages all the other creative processes, deployment, and maintenance than traditional coding.

 

Applications that take less time to program but offer more flexibility in the configuration made with a low-code approach. Also, it can be integrated with automation and used for processes such as RPA – Robotic Process Automation, BPM(), Case Management, Artificial Intelligence, Design Rules, etc. Many technology companies are already using these platforms to create applications in less time than usual.

 

With so much information about low-code, we can at least see this technology evolving in leaps and bounds. We expect future advances and growth to be very rapid. Let’s move on to the next technology that is also increasing.

 

| Endnote

 

In the end, we found that it is the most advanced technology that will be disruptive from 2021. We are certainly not limited to the ten technologies listed above. We also found several other mind-blowing technologies that will improve everyday operations. These are some of the trending technologies for custom software development that will evolve in 2021 and have a disruptive impact in 2022. Your company can hire software developers from top software development companies in India.

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cloud computing in healthcare main problems companies encounter
Cloud Computing In Healthcare: Main Problems Companies Encounter

cloud computing in healthcare main problems companies encounter

Out of the many advancements and tools, the evolution of technology has empowered the world with; cloud computing would easily fare somewhere at the top of the list. Why is that, you ask; well, folks, for starters, embracing cloud computing leads to an immediate reduction in costs for the company. And, since one doesn’t have to worry about setting up an elaborate ecosystem of IT infrastructure to keep their business running. Then there’s also the scalability — you see, no matter the scale of your operations, the goal is always to grow. And to grow, it is imperative to scale your systems as well — preferably quickly. Also, one is free from the shackles of infrastructure with cloud computing, all of that can be done and at a rapid pace. Of course, the countless benefits this technology brings to the table has not escaped the healthcare industry’s eyes.

In fact, thanks to its countless advantages, we are now seeing more and more companies in the healthcare sector rush to embrace cloud computing as well. However, such a change in strategy and tools in the arsenal must always be executed with caution. While an undoubtedly beneficial tool, Cloud computing has its own set of challenges — one that the healthcare sector would do well to take cognizance of and prepare for.

1. Cloud security: Since healthcare businesses deal with an abundance of sensitive patient information and countless other such data, security is among the top priorities. Unfortunately, cloud computing may bring a little bit of risk with it since the server in which data is often shared with other companies. So, be sure to find a service provider with demonstrated and successful experience in such situations.

2. Accessibility: To ensure mobility in the business, it is vital to ensure employees can access the requisite documents and data whenever they need it, no matter where they are. Such accessibility is also accompanied by unique risks. Thus, look for a vendor with trusted remote security features that will allow companies to deal with contingencies without compromising their data security effectively.

3. Transparency: Transparency in this regard refers to pricing, policies, system availability, uptime, issue response time, etc. To maintain such openness, make sure to gauge the vendor’s plan for dealing with any crisis in the context of the factors mentioned above. Being forthcoming in this regard is critical to establishing trust.

4. Downtime: Cloud computing too is prone to issues arising out of network outages, electricity cuts, etc. So, enquire about the guaranteed uptime, a disaster recovery plan and more to ensure your business doesn’t suffer the brunt of such problems.

If you had any doubts, the above discussion ought to clarify any doubts about the use of cloud computing in healthcare. As our increasingly-technology drive continues to evolve, and, along with it, patients’ and customers’ needs and expectations, the healthcare sector would do well with cloud computing by its side. To ensure the success of your endeavors, keep these and other relevant factors in mind before you set out to integrate cloud computing in your business.

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robust artificial intelligence of document attestation to ensure identity theft
Robust Artificial Intelligence of Document Attestation to Ensure Identity Theft

robust artificial intelligence of document attestation to ensure identity theft

It’s no riddle that identity fraud has become one of the greatest challenges for online corporations. As stated by the report on identity scams, there were 15.4 million innocents of crimes associated with identity scams and theft in 2020 only. Therefore, as online payments rise due to the COVID-19, the number of malicious activities and data breaches and the occurrences of cyber attacks are also rising.

Therefore, online identification document scanning solutions are becoming rising prevalent and common. Included with automated advancements, document attestation makes sure user verification adopts government-approved identity documents. AI identity documents attestation makes it possible to accurately process, validate and prove the identities. Listed below are how artificial intelligence document attestation assists secure companies against identity scams.

How Artificial Intelligence employs document attestation to combat scams?

Several of us have encountered this moment either during an account opening or conducting any payment, where an individual is acquired to submit government-authorized identity documents. The validation officer proves the details on the document and correlates the picture on an identity document against the facial scans of the customer to assure that the person is not a criminal attempting to attract a prompt one. 

Nowadays artificial intelligence is playing a similar role as that of the authentication officer, using the method that facilitates identity document verification remotely within digital document attestation. This technique enables companies to conduct installments remotely by validating that the person on the other end of the fee is who they profess to be.

As identity thieves are growing to become more intelligent it is vital to remain because there are so numerous methods to generate false reports and enable someone to maintain the identification of another person. However, technology assists in identifying and reducing frauds.

Listed below are few classes of document scam that identities thieves adopt to fake the identity:
Illicit documents


Illicit documents are entirely fake reports. They lack the features of initial documents such as rainbow documents, iris prints, and another standard on the legitimate identity documents. 

Fake documents

Fake documents aren’t tampered with or manipulated records but they have truly withdrawn reports that identity thieves use to deceive the document attestation. 

Altered Documents 

These documents are original but altered to trick the verification system. The fraudsters use technology to create false documents that look so much like the original ones that the human eye is unable to capture them. This is why Artificial Intelligence powered solutions are used as AI can detect minor things if it is trained on various types of documents. Machine learning trains the AI with fake or tampered documents as well as the original ones to ensure that it catches the invalid documents accurately.

Document Validation and the role of AI 

AI-enabled documents check to ensure the validity of the document while ensuring the identity of the document holder. Here are some of the document checks listed below.

Checking the Authenticity 

The training models ensure that the document submitted is genuine and can be verified.

Format Authentication 

The AI is trained with the different formats of the ID documents. The AI extracts the format from the ID document and ensures its authenticity. 

MRZ Code Authentication 

The ID documents include MRZ or a machine-readable zone that encrypts the information. AI can extract the MRZ code and identify information within it. This information is analyzed against the provided document to ensure the legitimacy of the ID document. MRZ codes are harder to alter and this is why they allow document verification as only legit documents will have the same information embedded in the MRZ code.  

Folded edges Detected 

Documents can be folded or crumpled and it is harder to identify the information on them. However, AI can also be trained on such documents so it can scan the information and ensure its authenticity.  

Forged Documents

Some documents are altered or forged and AI is capable of capturing any such documents. If there is even a minor change in the tiny part of it, the AI will detect it and call the document invalid. The human eye can skip these types of documents but the watchful eye of the AI cannot be fooled easily.

Holograms 

Government-issued ID documents that include holograms or stamps. AI is also trained on such documents to ensure that no alteration has been made on such documents.

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6 limitations of desktop system that quickbooks hosting helps overcome
6 Limitations of Desktop System That QuickBooks Hosting Helps Overcome

6 limitations of desktop system that quickbooks hosting helps overcome

Cloud accounting is the new technology that most companies and businesses are adopting. There is a big difference between cloud-hosting software and on-premises software. Similar way QuickBooks hosting is way different from the QuickBooks Desktop solution. 

QuickBooks Desktop is a famous accounting software that has a broad impact on the accounting industry. With all its distinct features, QuickBooks Desktop has added progress to accounting businesses. But due to the rapidly changing technologies in accounting software demands consistent upgrade in QuickBooks Desktop. That is the one reason QuickBooks installed on a desktop has limitations like workspace constraints, limited security measures, costly operating systems, etc. 

QuickBooks hosting is the answer to overcome the limitations of QuickBooks Desktop. QuickBooks hosting is made available by third-party vendors that host licensed QuickBooks on their cloud platform with nominal recurrent charges. In return, you can access QuickBooks accounts from any remote area with an internet connection. You can conveniently access QuickBooks accounts irrespective of the location, improved collaboration of applications, upgraded security measures, and much more. 

The similar functions of QuickBooks Desktop and QuickBooks Hosting 

As per the advancement of accounting technology, there is some difference between QuickBooks Desktop and QuickBooks Hosting. But first, we would discuss the similar core functions of both versions to understand the functionalities in a better way. 

  • Invoice generation
  • Scheduling of invoices
  • Sending invoices
  • Sales reports
  • Tax reports
  • Management of accounts payable
  • QuickBooks accountants assistance 
  • Integration with cloud-based applications

QuickBooks Desktop and QuickBooks Hosting also share some similar services like,

  • Tax conformity
  • Cash flow and expenditure tracker
  • Assistance in budgeting
  • Acceptance of online payments
  • Reporting feature

The six limitations of QuickBooks Desktop that QuickBooks Hosting helps to overcome 

  • Convenient accessibility  –

QuickBooks are available on desktop, limits your accessibility. You require a proper workspace, required computer systems, and a work environment with geographical constraints. 

QuickBooks hosting offers this traditional way of accounting with convenient accessibility around the clock. QuickBooks hosting is available on a cloud server so that you can access your account from anywhere and anytime, via account validations and internet connection. 

Hosting QuickBooks also gives you the benefit of working on your devices by setting up some configurations. This benefit leads to the mobile workforce, and this scales up your business.

  • Security Measures –

Data security is a crucial aspect of a financial institution. Accountants need to take responsibility for managing and maintaining the accounting credentials of the customer. The financial credentials include details of social security numbers, bank details, credit, and debit card details. The accountants take care of the privacy along with protecting their details from any possible theft. 

The data which is stored physically in any computer system is more prone to get stolen. The digital information saved on any computer is also accessible to hackers. 

In QuickBooks Hosting, data theft gets eliminated. All information and data get stored on a remotely secured server, and therefore the physical way of stealing any information is not possible. Also, to protect your data hosting providers deploy various security measures with multiple-layer security infrastructure, antimalware and antivirus tools, and firewalls.

  • Business Scalability –

During higher workloads, business expansion becomes a necessity.  Your company will hire new accountants, requires extra storage space for some months. If you are using QuickBooks Desktop, then the business expansion becomes limited due to different reasons. In this case, you will invest in procuring the extra storage space, which will become unnecessary in some months. 

With QuickBooks hosting, the expansion of business in the time of peak workloads can resolve conveniently. You can customize your business requirement by contacting the service providers. The required changes will appear within minutes. Whenever your workload normalizes, then you can reach out to the providers and reset the configurations again. 

  • Data Recovery –

Every financial business requires a disaster recovering strategy in place to confront any natural or manual emergencies. 

In QuickBooks Desktop, the data backup gets stored on a local server. The security and to overcome the data during any disaster the local IT team will be solely responsible. Your entire data will get damaged without any disaster recovery planning.

The QuickBooks hosting offers an alternative solution for on-premises solutions considering the fact of securing your data. You only have to pay your annual or monthly subscription fee, and the data recovery and business continuity are the sole responsibility of the service providers. 

  • High-performance –

Today the competition level in accounting firms is very high due to the advancement of technology. In this scenario, your financial institution should have access to high-performance systems so that processing won’t take much time. 

QuickBooks Desktop gets deployed locally in your computer, and there may be possibilities of system crash or slow speed with a heavy workload or with third-party app integration. It can slow down the processing, and waiting time for the customers will keep on rising.

QuickBooks Hosting offers high-performance servers. It can process large files or integrate various applications with your QuickBooks account without hampering the business process. 

  • Infrastructure –

The considerable limitation of QuickBooks Desktop is that they have costly servers and high maintenance. If you install a desktop setup, then you require a definite set of office systems. It can lead to monotonous work of installation, updating, and renewal of the license. You will need a skilled IT team to take care of your infrastructure, which add-ons your operational cost.

QuickBooks hosting releases you from the worry of IT-related issues and streamlines your infrastructure. The infrastructure setup is taken care of by the service providers, so you don’t have to think about the additional costing. Also, you will get IT professionals for your support at any time. It leads to enhanced cost-efficiency of your business. 

In the end, we can say that cloud hosting is a brilliant technology that is impacting the accounting firm and will benefit the companies in the future too. The traditional way of working confined in the office premises needs a fresh start, and the hosting environment is giving employees that required freshness and convenience to work. 

The employees are conveniently accessing their QuickBooks accounts without any geographical constraint. It, as a result, benefits the cost-efficiency and growth of the business, along with maintaining data security with secured accesses. 

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what does the future hold for the companies developing mobile apps
What Does The Future Hold For the Companies Developing Mobile Apps

what does the future hold for the companies developing mobile apps

So the world of terminator might not be exactly true in the coming times, but its concept of overuse of technology in all aspects of life is sure to be the nextgen reality. Smartphones and their mobile apps have come a long way from the snake game (the first presumed public app) launched in 1997, to everything now being available on mobile apps including online school, classes, groceries, meetings, etc. We herein analyse trends that mobile app development is headed in the times to come:

1. Artificial Intelligence all the Way:

Artificial Intelligence, its usage and value; especially for mobile apps and businesses, has been rising by the day. It helps in analysing critical user behavior and thus, developing enhanced and user-centric app experiences. The technology is now easily and affordably available through the various cloud services; Amazon, Microsoft, Google, and IBM still being their major providers.

Apart from understanding user behavior this technology also successfully tracks user requirements and expectations, giving businesses a much-needed edge over companies that don’t use this technology. So, if mobile app development companies wish to see and develop products for futuristic companies, Ai needs to regularly feature in their catalogue of specializations.

2. The fifth generation of the internet is already here:

The Generation Z is running towards speed and futuristic technologies are further adding wings to their flight. Speed is an essential factor of how well a mobile app functions amongst the competition of millions of apps already existing in the app stores.Though in its nascent stage and still with a couple of hurdles to overcome, 5g is going to change the shape of things in the mobile world.

Reliance Jio has already started working on the requisite 5g infrastructure requirements in India. Onset of the 5g internet shall take user expectation of mobile app speed a notch higher, disrupting the technology industry altogether. Future-envisioning mobile app developers apart from the time taken in developing an app, should also be working on setting a framework to inculcate this technology inclusion.

3. 3-dimensional user experience:

Millions of apps are already there on the app stores and thousands are being added every month. So, if mobile app developers wish to develop apps that successfully garner user views, downloads and sales; they would have to include 3-d mobile design trends in their development plans. As,. 3-d is the buzzword nowadays in this field. With the cost of Virtual Reality and Augmented Reality based products going low, they are the new app formats to attract users in terms of experience and utility.

ARKit, the Apple’s Augmented Reality development kit and Google’s ARCore offers several utilities and design functionalities that allow apps to integrate 3-dimensional objects to enhance user experience with ease.  They include access to their web studios, a mapping app system and easy to use SDK’s for hyper-accurate location tracking both on iOS and android platforms.

4. Beacons are the future of the Physical Retail Space:

Renewing and innovating user experiences is what businesses would be focussing on in the coming times. Apart from providing remote experiences, mobile apps would also become intrinsic in providing customized information and content as per user requirements using ‘beacons’.

what does the future hold for the companies developing mobile apps 1

These are small bluetooth enabled sensors that transmit particular information and track store visits and overall user in-store experience. For instance, they could easily help businesses track the most busy store hours and the most busy store section. They can also be developed as an out-of-store marketing tool for visitors close to your store that has looked for your kinds of products.

5. iOT:

The concept of the internet of things is gaining momentum by the day and so are its applications. iOT basically signifies an internet-like network of various connected smart gadgets in a particular area. Smart cars, smart televisions, smart watches, smart fans, smart lights to smart home assistants; all feature within the purview of this technology trend.

what does the future hold for the companies developing mobile apps 2

Reports suggest that 75 billion iOT smart devices in 2020 are touted to increase to a whopping 100 billion by 2030. The industry not only offers immense variety, but innovation and growth scope as well. With concepts like iOT enables smart cities in the pipeline and technologies like AI and 5g aiding its growth; the technology is here to stay both for the current and upcoming years. So if you have an app idea worth developing, you should be looking out to hire app developers who are well versed in these technologies.

Apps will augment almost everything, everywhere

Smartphone usage trends suggest that soon mobile apps will be playing a central role in almost all aspects of human life. From shopping, to medical to sleep; everything will be tracked and controlled by the apps. User-centric interface and experience of mobile apps shall play a tremendous role in the overall success and usability of the apps. As a mobile app development company you should already be working, strategizing and trying to gain hands-on experiences on these technologies. Innovative usage and application of these technologies shall have their worth in gold in the coming times.

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how python interpreter works
How Python Interpreter Works?

how python interpreter works

The default encoding for a Python supply report is UTF-8. This is a Unicode Standard variable-width individual encoding; it can encode 1,112,064 legitimate code elements in Unicode using as lots as four 8-bit bytes. Using this encoding, we can use most languages’ characters – we can use those in string literals, feedback, and identifiers. Since the equal old library uses ASCII characters terrific, you need to declare using this encoding in your editor. This is to make sure that each one of such characters shows without trouble. The font should be such that it permits all characters in the file. Data science with python training has been designed keeping in mind about learners who have zero to some level of exposure to Python. Any ideal session in this course would dedicate a good amount of time to understanding the theoretical part after which we will be moving on to the application of theoretical concepts by doing hands-on these statistical techniques.

We upload this statement because the primary line of the document we want to apply it in-

# -*- coding: encoding -*-

In this, encoding is a good codec that Python permits. Similarly, while you need to apply the Windows-1252 encoding, 

# -*- coding: cp1252 -*-

However, while you need to begin code with a UNIX shebang line, you can place the remark for encoding 2d-

#!/user/bin/env python3

# -*- coding: cp1252 -*-

How to Invoke the Python Interpreter?

On your tool, you may find out your Interpreter at an address like:

C: Python36

Or it may live at the location you selected at the time of installation. Add direction the use of this command:

Set course=%direction%;C:python36

Start the Python Interpreter On Windows, while you want to run the Python interpreter in the shell, you can kind the following:

$ Python

To get out of the Interpreter in dismantling the Bytecode shell, you could kind:

>>> give up()

Bye

Alternately, you could use an end-of-report person on the activate. Python interpreter exits with a 0 go out recognition. 

$ Python demo.Py

To input interactive mode after walking a script, you can pass –I before the hand.

The command python -c command [arg] … executes statements in order, and python -m module [arg] … implements the supply report for a module.

 1. Features of Python Interpreter

Python interpreter gives some pretty cool functions:

  • Interactive improving
  • History substitution
  • Code completion on systems with the guide for reading

 how python interpreter works 1

In the number one Python set off, attempt pressing the following keys:

Ctrl+P

This tells you in case your Interpreter helps command-line enhancing. A beep shows that it does assist the command-line improvement. Otherwise, each will carry out a no-operation or echo ^p to indicate it isn’t to be had.

1. Passing Arguments

When you pass a script call and additional arguments to the shell on the equal time as invoking the Python interpreter, it turns the one’s proper right into a list of strings. Then, it assigns the ones to the variable argv in the sys module. 

1. Interactive Mode

Python interpreter is in an interactive mode even as it reads commands from a tty. The primary prompt is subsequent:

>>> 

When it indicates, this activates, it way it starts the developer for the next order. 

Python interpreter is in an interactive mode while it reads commands from a tty. The primary prompt is subsequent:

 >>> 

When it indicates this spark off, it manner it activates the developer for the subsequent command. This is the REPL. Before it prints the primary prompt, the Python interpreter prints a welcome message that still states its model variety and a copyright phrase.

This is the secondary activate:

 …

This set off denotes continuation lines.

$ python3.7

Python three.7 (default, Jul 16, 2018, 04:38:07)

[GCC 4.8.2] on Windows

>>> 

You will discover continuation strains at the same time as on foot with a multi-line construct:

>>> it_rains =True

>>> if it_rains:

   

Print(“The produce can be correct”)

The produce might be particular

You also can use the Python interpreter as a calculator:

>>> 2*7

14

>>> 4/2

2.Zero

Well, internally, four topics take place in a REPL:

1. Lexing- The lexer breaks the road of code into tokens.

Ii. Parsing- The parser uses those tokens to generate a shape, right right here, an Abstract Syntax Tree, to depict the connection among the one’s tickets.

Iii. Compiling- The compiler pivots this AST into code item(s).

Iv. Interpreting- The Interpreter executes every code object.

1.Function Objects & Code Objects

When we talk of feature gadgets, we advocate to mention that in Python, features are outstanding devices (capabilities in reality are devices). You can skip them round and talk approximately them without growing a name to them.

>>> def bar(a):

              X=3

              Skip back x+a

>>> bar

<function bar at 0x107ef7aa2>

Now bar.__code__ returns a code item:

>>> bar.__code__

<code object bar at 0x107eeccb2, document “<stdin>”, line 1>

So, we end that a code item is an characteristic of a feature object. The dir() function will inform us greater approximately the characteristic:

>>> dir(bar.__code__)

[‘__class__’, ‘__cmp__’, ‘__delattr__’, ‘__doc__’, ‘__eq__’, ‘__format__’, ‘__ge__’,

‘__getattribute__’, ‘__gt__’, ‘__hash__’, ‘__init__’, ‘__le__’, ‘__lt__’, ‘__ne__’, ‘__new__’,

‘__reduce__’, ‘__reduce_ex__’, ‘__repr__’, ‘__setattr__’, ‘__sizeof__’, ‘__str__’,

‘__subclasshook__’, ‘co_argcount’, ‘co_cellvars’, ‘co_code’, ‘co_consts’, ‘co_filename’,

‘co_firstlineno’, ‘co_flags’, ‘co_freevars’, ‘co_lnotab’, ‘co_name’, ‘co_names’, ‘co_nlocals’,

‘co_stacksize’, ‘co_varnames’]

This offers us the attributes of the code object. Values of a few greater attributes:

>>> bar.__code__.Co_varnames

(‘a’, ’x’)

>>> bar.__code__.Co_consts

(None, three)

>>> bar.__code__.Co_argcount

1

  1. The Bytecode

The following command gives us the bytecode:

 

>>> bar.__code__.Co_code

‘dx01x00x01x00a chain of bytes, every of which the Interpreter loops thru after which makes an execution.

 

1.Disassembling the Bytecode

We will use the dis() method from this module to recognize what’s happening- this isn’t part of what the Interpreter does.

 

>>>import this

>>> dis.Dis(bar.__code__)

2 0 LOAD_CONST 1 (three)

               3 STORE_FAST 1 (x)

3 6 LOAD_FAST 1 (x)

               Nine LOAD_FAST zero (a)

               12BINARY_ADD

               13RETURN_VALUE

In this, the number one set of numbers is the street numbers within the real code. The 2nd one depicts offsets of the bytecode. The subsequent column depicts the arguments, and the final column lists the constants and names within the fourth column.

>>> bar.__code__.Co_consts[1]

Three

>>> bar.__code__.Co_varnames[1]

‘x’

So, this has to turn out to be all about Python Interpreter Tutorial. Hope you want our rationalization.

how python interpreter works 2

Hence, we’re successful in mentioning the compiler for Python generates bytecode for the Interpreter. The Python interpreter makes use of this with the digital tool. The identical bytecode doesn’t commonly become doing the same topics. This is every super problem that makes Python dynamic. Also, the default action for the Interpreter is >>>. If we pass over some detail, enjoy unfastened to percentage with us in a statement section. Data science with python certification focuses on explaining various use cases, some of the very famous applications/services which use Python, and then we gradually move to understand data science workflow using Python theoretically. We will help you understand the basic components of any data science model, right from fetching your data from your database to building a model that is in a deployable form.

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an overview of augmented reality applications and their future impact on ai
An overview of Augmented reality applications and their future impact on AI
an overview of augmented reality applications and their future impact on ai

Application

Category

Notes

 

 

Toyota – vehicle demo

 

Automotive

Created with agency Brandwidth, the app works by overlaying images of the inner workings of the Hybrid drivetrain onto physical vehicles.

Customers can interact with the app to be able to discover more about the car’s (C-HR model) key features, like the hybrid’s motor, battery, and its fuel tank.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Aurasma app

Educational

The Aurasma app, for example, is already being used in classrooms so that students can view their classes via a smartphone or tablet for a more rich learning environment.

 

https://www.inc.com/james-paine/10-real-use-cases-for-augmented-rea…

 

Quiver

Educational

The app has a set of coloring pages that make cells pop off the page and let children spin a globe in midair. Quiver lets students go beyond the pictures in their textbooks to interact with three-dimensional figures.

 

https://www.edutopia.org/blog/ar-apps-for-student-learning-monica-b…

 

 

Elements 4D

Educational

This app lets students combine different elements to see chemistry in action. Teachers can print out and assemble blocks that become trigger images for an AR experience

 

https://www.edutopia.org/blog/ar-apps-for-student-learning-monica-b…

 

 

Blippar

Educational

One of my favorites is how Blippar is used with Brainspace magazine. You can scan the Brainspace cover and inside pages to connect with interactive content that brings the two-dimensional presentation to life.

 

https://www.edutopia.org/blog/ar-apps-for-student-learning-monica-b…

 

 

Arloon Plants

Educational

With this app, students can explore interactive plants to learn about structure and parts.

 

https://www.edutopia.org/blog/ar-apps-for-student-learning-monica-b…

 

 

Math alive

Educational

Math alive uses AR software downloaded to a computer, a camera, and special cards. Students and teachers place the trigger cards under a camera to practice counting and basic numeracy skills.

 

https://www.edutopia.org/blog/ar-apps-for-student-learning-monica-b…

 

 

Ai.R-Cord

Educational

This app is aimed at helping elementary school students learn concepts by using augmented reality experiences.

 

https://mobidev.biz/blog/augmented-reality-future-trends-2018-2020

 

 

Pokémon Go

Entertainment

The most popular AR game till date is Pokémon Go which allows users to catch virtual Pokémon that are hidden throughout the map of the real world. It uses real locations to encourage players to far and wide in the real world to discover Pokemon. The game enables the players to search and catch more than a hundred species of Pokemon as they move in their surroundings

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

REAL STRIKE

Entertainment

The users get a real life shooting experience in this game and can record their fights and also create their own videos.

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

YouTube – Beauty Try-On

 

Entertainment

the feature will allow users to virtually try-on make-up through the YouTube app

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Acura

 

Entertainment

This month, Acura live-streamed an AR race featuring its 2018 TLX sedan. From behind the wheel of Acura’s newest model, four influencers competed in the “What a Race” AR experience for the fastest overall time during three-lap individual runs.

 

https://business.adobe.com/sea/resources/5-realworld-examples-of-au…

 

Disney

 

Entertainment

Disney Research developed technology that makes coloring book characters 3D as they are being colored.

 

https://business.adobe.com/sea/resources/5-realworld-examples-of-au…

 

Zombies, Run!

Entertainment

already allow an AR experience (gamified), via audio, while running outdoors.

 

https://www.vxchnge.com/blog/augmented-reality-statistics

 

Rekorderlig – mixed reality experiential marketing ‘Rekorderland’

Marketing

a mixed reality experience location in London’s Southbank for the summer.

There for six weeks, the concept was based on Midsummer, one of Sweden’s most celebrated traditions. The experience involves visitors wearing Magic Leap AR headsets, to view holographic imagery and light waves together, blurring the lines between the real and virtual worlds. Visitors also will be able to bring their Rekorderlig drinks to life using Snapchat codes in the bar area.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

 

Modiface on Amazon

Marketing/Retail

L’Oréal’s Modiface is another of the best-known examples of AR within retail, with the feature allowing customers to digitally try on make-up through the brand’s app.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Foot Locker – in-store poster

Marketing

Foot Locker is one of the coolest examples to date, with the retail brand using a Snapchat AR filter to create the illusion that LeBron James – basketball player for the LA Lakers – is bursting out of a Nike poster in-store

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

‘Magnum Beauty Store’ pop-up experience

Marketing

Combining beauty and ice-cream, the ‘Magnum Beauty Store’ pop-up experience involved seven different zones, where visitors could engage in activities such as the personalisation of ice creams and eyebrow shaping.

There was a large AR element, too, relating to the theme of “Release Your Beast”. This involved visitors engaging with Magnum’s ‘four beasts’ – the leopard, polar bear, lion and tiger – through an interactive LED wall.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

VF – virtual mannequins

Merketing

Timberland and Vans – has opened a new retail space One of the space’s key features is avatar-based virtual mannequins, which showcase various seasonal looks in 3D. Visitors can use touchscreen displays to view products in different scenarios, as well as change features such as lighting and context.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Pepsi MAX

 

Marketing

PepsiCo recently pranked commuting Londoners with an AR-enabled bus stop display. Travelers were shown a prowling tiger, a meteor crashing, and an alien tentacle grabbing people off the street.

 

https://business.adobe.com/sea/resources/5-realworld-examples-of-au…

 

AccuVein

Medical

AccuVein is a handheld device that can scan the vein network of a patient that leads to a 45% reduction in escalations. Surgeons can plan procedures before making the first cut, models can be made of tumors, and AR diagnostic tools can model disease conditions.

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

AR GPS Drive/Walk Navigation

Navigation

The application makes use of the smartphone’s GPS and camera to execute a car navigation system with an augmented reality-powered technology.

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

AR GPS Compass Map 3D

Navigation

The app shows a 3D compass that gets fused with the camera image and shows your current location from GPS on a separate map with adjustable size

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

Gatwick airport passenger app

Navigation

passengers can use the AR maps from their mobile phone to navigate through the airport

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

Tactical Augmented Reality (TAR)

Navigation

essentially an eyepiece that helps soldiers precisely locate their positions as well as the locations of others—both friend and foe

 

https://business.adobe.com/sea/resources/5-realworld-examples-of-au…

 

AUGMENT

Retail

Augment allows its users to see their products in 3D in a real-life environment and in real-time through tablets or smartphones to drive sales and improve user engagement

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

Ikea Place

Retail

For those who have purchased furniture and discovered once it was delivered it didn’t work in the space, the Ikea Place app will help you avoid that predicament in the future. The app was built using Apple’s ARKit technology, and it allows you to scan your room and design the space by placing Ikea objects in the digital image of your room to create a new environment with the new products.

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

 

Dulux Visualiser

Retail

Dulux Visualiser helps you try out a shade of paint for your room before you buy. Just use your smartphone camera to scan your room and virtually paint it with any color of the rainbow.

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

 

Measured by Lowe’s

Retail

, a virtual tape measure that can be used inside and out, and Envisioned by the Mine (owned by Lowe’s) which allows you to place 3D images of furnishings and accessories into your home or commercial space.

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

Sephora Virtual Artist

Retail

Sephora uses AR technology to allow customers to try out different looks and eye, lips and cheek products as well as colors right on their own digital face.

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

Rolex virtual try-on

Retail

The company has developed a virtual try-on experience where prospective customers can try out different styles and models

 

https://www.bernardmarr.com/default.asp?contentID=1540

 

ASOS – virtual catwalk

 

Retail

The feature works when a user points their smartphone camera at a suitable flat surface and clicks the ‘AR’ button on the product page in the app. Models then virtually appear, giving the customer a new and more intimate way of viewing products.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Gucci – ‘try on’ shoes in AR

 

Retail

Pointing their smartphone camera downwards, users can choose to see a digital overlay of 19 different sneakers on their own feet, swiping left or right to change to a different pair. The app also allows users to take photos, which can then be shared on social media or in messaging apps.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

 

Adidas – more virtual sneakers

 

Retail

, it partnered with Snapchat to create an AR lens for customers to virtually preview its new Ultraboost 19 running shoes.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

Sun-Seeker

Science

Sun-Seeker is an AR app which provides a flat compass view and a 3D view showing the solar path, its hour intervals, its equinox, winter and summer solstice paths, sunrise and sunset times, twilight times, magic hours and also a Map view showing solar direction for each daylight hour.

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

Man City – AR-driven stadium tour

 

Sports

In 2019, the football club has integrated AR into its stadium visitor experience, introducing an immersive tour in celebration of its 125th birthday.

 

Visitors of the tour will be able to use AR to ‘sit next to’ and ‘interact’ with Manchester City manager, Pep Guardiola, at the top table of a press conference. Alongside this, the tour includes 3D holographic content, and a 360-degree cinema screen – all designed to offer fans a truly immersive experience.

 

https://econsultancy.com/14-examples-augmented-reality-brand-market…

 

 

ARGON4

Tech

This is a fully-featured web browser that has the ability to display augmented reality content created with the argon.js Javascript framework. argon.js makes it easier for adding augmented reality content to the web applications in a platform and technology-independent way and supports the real-time AR capabilities of the Argon4 Browser.

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

AR Browser SDK

Tech

This is a browser created by ARLab. This browser allows the users to add augmented reality geolocation view to the Android and or iOS application in less than 5 minutes.

 

https://www.newgenapps.com/blog/augmented-reality-apps-ar-examples-…

 

heads-up displays (HUDs)

Tech

The HUD can make drivers aware of potential hazards that might have gone unnoticed without posing a distraction or obstructing their view of the road. Nissan’s Invisible-to-Visible (I2V) technology already uses AR and AI to make drivers aware of potential hazards, such as nearby objects.

 

https://mobidev.biz/blog/augmented-reality-future-trends-2018-2020

 

Source Prolead brokers usa

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