The AI evolution in tech: Pioneering smarter decisions, from surgery to security

AI SaaS

Managing IT networks is not a walk in the park. They are complex and diverse. Artificial intelligence fits into the picture thanks to the technology’s deep learning and natural language processing features.

Even though software, architecture and chip sets have changed in the technology industry, human interactions with these systems have not, and this is why AI is needed to change this narrative, according to Alan Cohen (pictured), general partner at DCVC Management Co. LLC.

“What’s happening now in the tech industry is an industry that had been built clearly on writing software but not necessarily using generative AI, massive data sets to actually instruct their actions,” Cohen said. “They were really configured and managed by people. Generative AI is going to be the decision maker and basically negotiate between how things work and how they perform.”

Cohen spoke to theCUBE Research industry analyst John Furrier. They discussed how AI is emerging as a game-changer in the technology field as optimality continues to be top of mind for enterprises.

How data fits into the AI picture

AI has borrowed a leaf from the notion that data is the backbone of better decision-making in the modern enterprise world. As a result, data takes center stage in the AI sector since it determines whether it will be a make-or-break affair, according to Cohen.

“The more data, the better it gets, and that is the answer to everything,” he said. “What you wind up is that companies, as opposed to just having technology moats, they’re all going to have data moats. Chat and some AI has done what technology has done since IBM launched the 360 in the 1960s. It removes crummy, low-end manual tasks through automation.”

AI is triggering a fundamental shift that is making technology more important, because it’s revamping the actual physical processes. As a result, organizations are consuming AI at a high rate, as evidenced by Recursion Pharmaceuticals Inc. use in the optimization of therapies and vaccines, according to Cohen.

“One of our companies, Recursion Pharmaceuticals, announced their large language model, which is an engine for small molecule therapeutic and drug development,” he said. “They have a model that they can plug inputs into, which allow them to come up with cancer cures and therapeutics faster than they did when they had lab scientists and analysts.”

Since AI is able to consume massive data sets for better decision-making, this cutting-edge technology offers real-world solutions. This is because AI can be infused into the products and services that are being build, Cohen pointed out.

“We have a company, Fortem, that is a drone detection company, and Evolv, where I was the chairman, and we took them public,” he said. “Those are companies that use computer vision and machine learning to actually protect people. I have an investment in a surgical navigation company that just had FDA approval that’s operating on patients called Proprio. It is the Google Maps for surgery; it guides a surgeon in real time.”

Here’s theCUBE’s complete video discussion:

Photo: SiliconANGLE

Your vote of support is important to us and it helps us keep the content FREE.

One click below supports our mission to provide free, deep, and relevant content.  

Join our community on YouTube

Join the community that includes more than 15,000 #CubeAlumni experts, including Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger, and many more luminaries and experts.

“TheCUBE is an important partner to the industry. You guys really are a part of our events and we really appreciate you coming and I know people appreciate the content you create as well” – Andy Jassy

THANK YOU

AI SaaS

Leave a Reply

Your email address will not be published. Required fields are marked *