Four Trends in Artificial Intelligence That Affect Enterprises

4 Trends in Artificial Intelligence That Affect Enterprises  #AI

  • AI enables the prediction, planning and automation of a variety of tasks, and for enterprises, there are four trends in artificial intelligence that stand out: large-scale machine learning, deep learning, human-enhanced AI and autonomous systems.
  • Here’s a bit more on the four trends in artificial intelligence that affect enterprises.
  • [Read more] – – Due to recent improvements in computer graphic cards and releases of popular frameworks, deep learning has some excellent results in specific narrow use cases with actionable intelligence.
  • [Read more] – – Another common trend is having humans evaluate results from AI.
  • [Read more] – – In light of the evolving AI trends in the coming year, it’s important to keep in mind that “AI is eating the world and will eventually eat every vertical,” as Sanjit Dang, of Intel Capital, recently said at the Global AI Conference.

Learn more about four recent trends in artificial intelligence that are affecting businesses today.

Andrew Ng, the renowned data scientist, has said that artificial intelligence (AI) needs to be a company-wide strategic decision. Companies that don’t strategically invest in AI will slowly lose market share to companies whose core businesses are built around AI.

AI enables the prediction, planning and automation of a variety of tasks, and for enterprises, there are four trends in artificial intelligence that stand out: large-scale machine learning, deep learning, human-enhanced AI and autonomous systems. Contributing to these trends are less expensive and more powerful hardware, and end-to-end data platforms that maximize the value of data-in-motion and securely store, manage and perform complex processing of data-at-rest. Furthermore, pure and hybrid cloud deployments enable companies to quickly scale and access additional resources on demand.

Here’s a bit more on the four trends in artificial intelligence that affect enterprises.

A classic example of machine learning is detecting fraudulent login attempts. Instead of explicitly specifying every rule and every possible fraud case, machines learn by being presented with thousands of examples. The advantage here is that once the initial model has been created, it can continuously evolve. [Read more]

Due to recent improvements in computer graphic cards and releases of popular frameworks, deep learning has some excellent results in specific narrow use cases with actionable intelligence. This now makes it possible for businesses to hone in on new business opportunities. Additionally, raw processing…

Four Trends in Artificial Intelligence That Affect Enterprises