How Tech Companies Are Using Sentient To Become Profitable

With the growth and adoption of artificial intelligence, there are a dozen or so companies that are positioned to make huge profits from their use of AI. Among this companies are Google, Amazon, Netflix Oracle among other firms.

Most if not all Sentient AI applications need highly sophisticated hardware to facilitate faster processing. Chips manufactured by NVidia are the preferred choice for running various machine learning software. Micron designs unique memory chips that are well suited to run multiple machine learning applications looking at these facts, it is evident that these companies are poised for massive profits as they are the preferred manufacturers of chips used in artificial intelligence.

Taking into consideration that AI applications are run over the internet then cloud computing companies that have the necessary infrastructure such as Amazon and IBM will be likely beneficiaries of the adoption of AI technology.

Several companies are adopting AI to enhance their primary businesses. For instance, Google uses AI for some reasons relevant to its business. Some of the reason for the application of AI by Google is to improve the quality of search results. Other than providing quality search results, AI enables the customization of these results to match the users’ needs and preferences. Other than Google, Amazon and Netflix use Sentient AI for similar reasons to Google.

When it comes to Amazon and Netflix, Artificial Intelligence is used to track a client’s previous purchases and borrowings to anticipate the next product the customer will need. For clients using these services, getting “recommendations” and “other products that might interest you” happens on a regular basis but what most people overlook is that AI is usually the engine behind providing these suggestions.

The reason most companies are breaking away from their conventional way of running their processes and adopting AI is the predictability that comes with the technology. Artificial intelligence applications let a computer use clear set rules that can be used to predict inputs. IBM and Prism are the most prominent players who are currently employing the automation of routine white-collar functions.

Using this technology Oracle is pushing its development of an entirely autonomous database service, this will be the first of this kind in the technological world. If this succeeds, Artificial intelligence will be able to replace human database administrators.

It is estimated that in the next decade revenue from artificial intelligence will equal the current size of the American GDP and will equal the world’s total GDP by 2030.