Machine Learning/AI: Hard Facts, Conclusions and 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.
