Big Data and Analytics

Continuous monitoring is critical if regulatory agencies such as the Food and Drug Administration are to reduce the risk in artificial and machine learning-based medical technology.

The co-founder of DeepMind, the high-profile artificial intelligence lab, is set to move to the U.S. to take up a role at parent company Google.

The firm is facing a U.K. investigation into its $2.6 billion takeover of data company Looker Data Sciences Inc., opening up another front in the Alphabet Inc. unit’s ongoing battle with lawmakers.

While there’s a lot of hype about the future benefits of artificial intelligence, the technology is already paying off.

The Department of Veterans Affairs, the nation’s largest integrated healthcare system, is centralizing the agency’s efforts to advance its artificial intelligence research and development capabilities.

Significant progress is needed in regulating AI, which is still most effective when coupled with human collaboration and insight.

Artificial intelligence has the potential to transform care delivery. However, hospitals and health systems will need to first build an effective AI infrastructure of people, policies, resources and technology.

Nearly two-thirds of carriers surveyed overall are adopting AI and machine learning technology.

Be sure to consider the maturity of the maturity model you select for your organization, and rely on these points as a handy checklist.

‘Technology drives business’ is very much applicable to the case of how data science is being evaluated for adoption by many enterprises. Business and IT teams are working towards determining the value that machine learning can deliver to their various business scenarios. Many times it starts with proof of concepts in automating manual processes such as document classification, improving accuracy like determining the right target customer in campaign management.