Live Webinar May 15th, 2017, 10:00 am – 11:00 am  EDT
Activity Type: Education – Course or Training  1 Hour  1 PDU
Provider: Gartner Webinars

In this webinar, Tom Austin (LinkedIn profile) & Peter Krensky
Sr Research Analyst (LinkedIn profile, Gartner bio) will explore AI “Hard Facts, Conclusions & Actions“

We are in the early stages of a 10-year cycle which machine learning is morphing from a lab curiosity to a rich, pervasive technology value-add.

Grandiose visions and deep seated cynicism are fighting each other in the marketplace. We break down fact versus fiction and various alternative paths to success.

Discussion Topics:

• How safe it is to dive into the deep end – what’s real and what isn’t
• Which platforms and applications to invest in first
• Where innovation in open source and with citizen data scientist enablement is having an impact

Click to register for:
Machine Learning/AI:
Hard Facts, Conclusions & Actions

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