“Defender ghosting is just one example of the ways in which AWS scientists are contributing to the development of Next Gen Stats,” AWS said. “Among other things, they’re looking at whether computer vision can help determine first downs.”
“‘We help organizations put machine learning into production. That’s the whole goal of our company, helping someone build an operational machine learning application, meaning an application that’s powering their fraud system or something real for them […] and making it easy for them to build and deploy and maintain,’ company CEO and co-founder Mike Del Balso explained.
Just last week, AWS announced the Sagemaker Feature store, which the company saw as major validation of their idea.”
“Here’s a look at some of the world’s most powerful, promising applications of machine learning to benefit society.”
- “’Given that consumers are expecting more from their digital experiences, fintech startups are just not disrupting the space, but also empowering consumers,’ he said, adding that they are leveraging artificial intelligence (AI) and machine learning (ML) to improve their bottom lines.
- Ashish Anantharaman, CTO, Zest Money. Ashish carried out a deep-dive into the operations of Zest Money to show how it is possible for fintech startups to leverage AI to improve the credit profile assessment of individuals for loan disbursement, while minimising the risk from fraud.”
- “Today the company announced the general availability of Amazon Kendra, its cloud enterprise search product that the company announced last year at AWS re:Invent.
- Amazon is trying to change the enterprise search game by putting it into a more modern machine learning-driven context to use today’s technology to help you find that perfect response just as you typically do on the web.”