What Are MicroBuilds in AI And Why Are They So Big Right Now?

Artificial intelligence has become, possibly, the biggest subject in technology. With thousands of new positions opening from an employment perspective and with dozens of new programming languages moving towards automated features in a regulated IDE (Internal Development Environment), artificial intelligence must be analyzed thoroughly, to understand its future developments. 

MicroBuilds have become quite a big subject within development teams worldwide, ranging from startups to triple-A enterprises like Apple. Let’s analyze what MicroBuilds are, how they are set up in today’s industry, and their market value.

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MicroBuilds Versus Normal Builds: From A Business Perspective 

Avoiding the technical rant, to understand what MicroBuilds are, it’s important to understand how a hypothetical Artificial Intelligence is set up in 2019. Usually, the combination of Python guidelines, associated with an R-coded algorithm are gathering big data/cookies from users (taking a web application for example) are applied to a Java-coded architecture (sometimes Javascript, when internal to the webpage and not server-stored) that is presenting the numerical data into a “simpler” form. This normal build is usually created, tailored, and launched (from a development perspective) within the year timeframe, which is why many startups and companies have been relying on MicroBuilds. MicroBuilds are applying the same setup to a cloud-rendering environment: the Python and R-based rules are used for a variety of applications, which are stored via Cloud. This may sound like complete nonsense, but, instead, speeds up the rendering process of every single application, given the fact that they are all relying on the same Machine Learning rules. 

Startups Vs Enterprises: How Is This Moving In Today’s Industry?

MicroBuilds are used in today’s eCommerce industry by many top retailers such as Zara and Amazon, especially for their retargeting and email marketing campaigns (which are automated by the above-mentioned Python rules). To reach this level of commercial awareness, though, MicroBuilding procedures have passed through a big “startup” phase, where many small players (mainly US-based) have tried to combine Python to a variety of algorithms, to then understand that R was the chosen one to render numerical data properly. These very startups, such as Crowdstrike, who has passed through multiple waves of investments in the $100 million range, have now reached a commercial level that competes with Microsoft and Apple, in regards to this very matter. With this being said, it’s quite easy to understand why AI (as a whole, and not just in regards to MicroBuilds) is still a “startup matter.”

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The Market Value 

Although extremely popular at the moment, MicroBuilds are just 4% of the entire Artificial Intelligence’s market. As a technology sector that has peaked at over $2 billion in 2018, artificial intelligence is still growing visibly, embracing machine and deep learning more and more every day with new startups building tools on the blockchain and with tangible signals of its awareness within sectors such as finance, with Santander opening their first blockchain-based branch. It’s crucial to state today’s market value in regards to artificial intelligence since what’s happening right now will be the foundation for its business development in the upcoming future.

To Conclude 

MicroBuilds and cloud-based features in artificial intelligence are going to become an even more significant trend in the near future. We can safely expect this to move even further towards the usage of clouds and blockchain from big enterprises such as Apple (who already announced that a project on this very matter is in the works) and Amazon. 2020 will put the last touches on how MicroBuilds are used and will be remembered as the “foundation year” for the future of artificial intelligence.

Note: This is a guest post, and opinion in this article is of the guest writer. If you have any issues with any of the articles posted at www.marktechpost.com please contact at asif@marktechpost.co

Paul Matthews is a Manchester-based business and tech writer who writes in order to better inform business owners on how to run a successful business. He’s currently consulting a branding agency in Manchester. You can usually find him at the local library or browsing Forbes' latest pieces.