MNCs using AI/ML to grow

October 17, 2020

AI means Artificial Intelligence and ML means Machine Learning. ML is a subpart of AI.

MNCs using AI

1. Salesforce- They have created an Einstien Recommendation engine. You can view the full story here.

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They have also used ethicalAI in it.

Example of using Einstien prediction with Salesforce

2. Intel- Intel is using AI to create superfast chips called Nervana

Data processing for artificial intelligence or machine learning applications is said to be slightly different from other types. Whatever the details, experts say that a new generation of chips being built will be more capable of running AI and machine learning apps. Still the largest chipmaker in the world, Intel clearly does not want to miss out on this nascent market, and has been active in acquisitions. One of the largest purchases Intel made in the past few years is the $400 million acquisition of Nervana Systems, which build chips for data centre servers.

Nervana chips are said to be able to transfer data in and out at 2.4 terabytes per second at very low latency. That is supposed to be five to 10 times faster than the fastest input-out interfaces for traditional chips, according to a report on Forbes.

3. Microsoft- It acquires maluuba which was an AI startup creating computers having thinking capacity.

Microsoft has actually been the third-biggest spender on acquisitions over the past five years, according to CB Insights.

The company is well and truly into the internet market, especially after its $26 billion purchase of LinkedIn a couple of years ago. LinkedIn may provide the best platform for Microsoft to showcase the enterprise applications it develops based on machine learning. But probably the most significant acquisition.

Microsoft made in the machine learning space was Maluuba, which the tech giant says has “one of the world’s most impressive deep learning research labs for natural language understanding”. Voice computing does seem to be the key area of competition between tech giants because success in this field would open up more than just voice search. It would make typing and many other tasks unnecessary.