Machine Learning Times
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Hybrid AI Emerges To Tame LLMs – And Not A Moment Too Soon
 Originally published in Forbes The great potential of LLMs is...
AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
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6 years ago
Wise Practitioner – Predictive Analytics Interview Series: Anthony Alford at Genesys

 By: Luba Gloukhova, Founding Chair, Deep Learning World In anticipation of his upcoming conference presentation at Deep Learning World May 31-June 4, 2020, we asked Anthony Alford, Lead Software Engineer at Genesys, a few questions about their deployment of predictive analytics. Catch a glimpse of his presentation, The Call Is Coming From Inside the House: Deep Learning for Insider Threat Detection, and see what’s in store at the Deep Learning World conference in Las Vegas Q: In your work with deep learning, what do you model (i.e., what is the dependent variable, the behavior or outcome your models predict)?

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