AI: No one wants your models. w/ Andrew Eye

You can’t buy a predictive model off the shelf. And if you COULD… would you? It’s the old “build versus buy” debate and with data in a constant state of change, building and deploying AI is more challenging than ever.

Join Tim, Juan, and Andrew Eye, CEO at ClosedLoop.ai, to discuss the challenges of AI deployment, AIOps, and maintaining models as data changes.

Key Takeaways

• [00:08 - 01:45] Cheers for AI
• [01:48 - 04:44] Taking advantage of incoming data and considering the data footprint
• [04:45 - 05:55] Building the most accurate and useful model, no best solution
• [06:01 - 09:26] AI strategy and developing prediction models
• [09:33 - 15:17] Should you build or should you buy?
• [15:21 - 20:02] Verticalized AI versus Horizontal data science and AI-oriented solutions
• [20:04 - 23:16] Build a custom predictive model
• [23:42 - 25:24] The concept of "feature drift" in AI
• [25:26 - 30:02] Vertical AI and the opportunity with healthcare
• [30:07 - 33:52] The concept of a click and the idea of semantic contracts
• [33:53 - 38:08] Great minds designing AI for Facebook instead of healthcare
• [38:12 - 39:41] Designing AI for good is addictive
• [39:47 - 41:27] The next generation and the promise of AI that can really impact lives
• [41:41 - 47:57] Lightning Round
• [48:02 - 52:03] Takeaways
• [52:05 - 53:24] Three questions