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What's in our AI crystal ball for the year to come?

Employers of all kinds are dealing with a higher than normal churn rate this year. One of the industries being hit hardest with employee turnover is healthcare.

AI is used widely within the healthcare industry on the clinical side. AI applications deliver medical imaging insights, automated diagnoses, and personalized medicine based on disease and genetics. AI can also be used to drive improvement in the back office operations of healthcare providers, and one area of focus for AI should be in Revenue Cycle Management (RCM).

I’ve simulated how I would go about building an organization and Information Architecture that readies my company for a future of AI as a five-round draft of capabilities and skills.

Could AI reconnect you with a departed loved one? Would you want it to?

Taking these five steps won’t necessarily guarantee success, but they can help set the foundation to use AI in a way that creates value for your company.

One of the largest challenges for data scientists today is discovering and monitoring bias in their predictive models.

AI is starting to turn up more often in Procurement and is leading a digital transformation in this line of business.