Machine Learning/AI: Hard Facts, Conclusions and Actions

Start: November 15, 2017 8:00 am End: November 15, 2017 5:00 pm

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.

In this webinar, you will learn:

• 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

Register

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