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The global IT outsourcing market generated a revenue of $520.74 billion in 2019 and it is expected to surge at a CAGR of 7.7% during the 2020-2027 period. The immense growth of the market is due to the growing popularity of outsourcing software development companies across the globe. 

In fact, in 2018, India dominated the global IT outsourcing market with a 67.0% share and the Indian IT sector generated a revenue of more than $150.0 billion with a CAGR of 10-15.0% per year. 

The majority of small businesses, start-ups, and enterprises are inclined towards IT outsourcing companies for managing and handling their business. There are hundreds and thousands of outsourcing software development companies available on the internet but choosing the top-notch IT outsourcing company is a tough call because you might fall into the wrong trap

So, for that, I am going to shortlist the top 5 software development outsourcing companies in India that not only add value to your business but also help you to expand your business across the globe. 

I am going to prepare a list of parameters that will back the shortlisting of these top 5 IT outsourcing companies in India- 

Blockchain is a decentralized technology that maintains a record of all transactions occurring over a peer-to-peer network. Due to Blockchain's several different high-level use cases, numerous industries described Blockchain as the 'magic beans.' 

Blockchains store the record in a decentralized system that is interconnected. This technology lessens vulnerability and enhances transparency in all industrial sectors as information is stored digitally, and it does not have any centralized point to carry out the transactions.

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In this digital world, people prefer to work remotely. There are numerous tasks that each of us goes through every day. If I talk about an application's usage, then it has been predicted that there will be a 25% increase in global app downloads between 2018 and 2022. 

But it can be quite challenging for organizations to maintain and create multiple passwords. Hence, a password management software can be a great choice to manage this effectively. It is like your bank locker, where one can store numerous passwords. The users only need a master password to access the software.

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Many of us grew up reading a classic, that was a staple of many home libraries. However, it doesn’t seem to be as prominent as it once was. To understand the ongoing shift in tech coverage, we need to explore its roots.

An eCommerce platform empowers startups, SMEs, and large enterprises to manage multiple online business processes such as website, marketing, sales, and operations.

The top eCommerce platforms handle online business tasks efficiently, and this finally helps enterprises in expanding their productivity.

Challenges of real-time AI/ML computations

• A “high-load” customer portal is integrated with an online recommendation system. The plan is to reconfigure promo campaigns at the level of the entire retail network (we will assume that instead of a “flat” promo campaign master there will be used a “segment-tactic” matrix). What will happen to the recommender mechanisms? What will happen to data feeds and updates into the recommender mechanisms (the volume of input data having increased 25000 times)? What will happen to recommendation rule generation setup (the need to reduce 1000 times the recommendation rule filtering threshold due to a thousandfold increase of the volume and “assortment” of the rules generated)?
• An equipment health monitoring system uses “manual” data sample feeds. Now it is connected to a SCADA system that transmits thousands of process parameter readings each second. What will happen to the monitoring system (will it be able to handle equipment health monitoring on a second-by-second basis)? What will happen once the input data receives a new bloc of several hundreds of columns with data sensor readings recently implemented in the SCADA system (will it be necessary, and for how long, to shut down the monitoring system to integrate the new sensor data in the analysis)?
• A complex of AI/ML mechanisms (recommendation, monitoring, forecasting) depend on each other’s results. How many man-hours will it take every month to adapt those AI/ML mechanisms’ functioning to changes in the input data? What is the overall “delay” in supporting business decision making by the AI/ML mechanisms (the refresh frequency of supporting information against the feed frequency of new input data)?

We are proud to announce that we have built from ground up and released our high-quality (i.e. on par with premium Google models) speech-to-text Models for the following languages:

• English;
• German;
• Spanish;

You can find all of our models in our repository together with examples, quality and performance benchmarks. Also we invested some time into making our models as accessible as possible — you can try our examples as well as PyTorch, ONNX, TensorFlow checkpoints. You can also load our model via TorchHub.

	PyTorch	ONNX	TensorFlow	Quality	Colab
English (en_v1)	✓	✓	✓	link
German (de_v1)	✓	✓	✓	link
Spanish (es_v1)	✓	✓	✓	link

Space exploration was always fascinating, and recent developments have reignited the interest to the heights never seen since the last man stood on the Moon. People argue about Mars exploration and features of spaceships as their grandparents would’ve done if the internet existed fifty years ago. I’m an electronics engineer working in the aerospace industry, so I know a thing or two about the technical background of this stuff — and I see that these things aren’t common knowledge, and people often have significantly skewed ideas about the reasons behind many things and decisions. Namely, I’d love to speak of some misconceptions about radiation hardened integrated circuits and the means of protection from radiation-induced damage.

What do these terms mean? And what is the difference?

English translation of Philip Ranzim's post at his blog page here. (With author's permission)

Once upon a time, my girlfriend started using Instagram. She asked me to sign up for it and subscribe to it. I tried — I couldn't do it because you couldn't register at Instagram from a desktop computer. I then thought — how weird people are. Well, what kind of fool would make a software product that can't be used with a normal computer? They won't succeed, and this Instagram will be a marginal service for a bunch of strange women, who for some reason don't like desktops.

It has only been a few years, the market has put everything in place — and the biggest fool was me. And the geniuses at Instagram predicted how and where everything would develop. Today, most of the user applications are made primarily for mobile platforms. At best, they include a universal web client, which is still optimized for mobile phones. Because users love iPhones, not computers. Business people sat down, counted, and made a decision — let's make more money, let's have mobile First everywhere.