Tuesday, August 28, 2018

Technology and Innovation: What Data Scientists Really Do, According to 35 Data Scientists

August 28, 2018

What Data Scientists Really Do, According to 35 Data Scientists

By Hugo Bowne-Anderson

How to Hand Off an Innovation Project from One Team to Another by Joe Brown

Don't let great ideas die in the execution phase.

New Supply Chain Jobs Are Emerging as AI Takes Hold by Gary Hanifan, Kris Timmermans

We're moving toward a world where people and machines are collaborating, not just coexisting.

To Make Self-Driving Cars Safe, We Also Need Better Roads and Infrastructure by Nick Oliver, Kristina Potočnik, Thomas Calvard

Getting the automotive technology right will only take us so far.

How Smart Speakers Are Poised to Reinvent the Travel Industry by Scot Hornick, Shri Santhanam

Tools like Alexa and Google Assistant offer a whole new way of connecting with customers.

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The Latest Research: AI and Machine Learning

By Harvard Business Review

Curated by our editors, this 20-article digital collection includes the best recent research, case studies, and analysis on artificial intelligence (AI) and machine learning published by Harvard Business Review.

The articles in The Latest Research: AI and Machine Learning will help you understand today's essential thinking on AI's current capabilities, how to adopt it in your organization, and how the technology will evolve in the near future. Each article includes discussion questions to help you kick off conversations on how to implement AI initiatives in your company and capitalize on the machine intelligence revolution.

This digital collection includes "Inside Facebook's AI Workshop"; "How to Spot a Machine Learning Opportunity, Even If You Aren't a Data Scientist"; "3 Ways Companies are Building a Business Around AI"; "Could Machine Learning Help Companies Select Better Board Directors?"; "10 Promising AI Applications in Health Care," and more.

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