Background: In order to effectively use Machine Learning you need to train it. How do you train it, fast, effectively and consistently? What are some of the best ways to train it? Why? What are the benefits of DV2.0 for machine learning? What’s unique about DV2.0 in applying it to machine learning. How can I get my company to pay attention to the information /data architecture so that AI will actually work?
Findings: Many companies are investing heavily in AI, but they fail to use it properly because the information/data architecture (IA) is a dismal failure. Without IA there is no AI. The best AI aka machine learning won’t work unless you have better IA.
Approach: DV2.0 gets you there, by following the methodology and building the IA you are building a foundation for your AI to actually work. When you pour the foundation for your house you don’t build it on top of a swamp. Instead you build it upon something solid. DV2.0 provides that solid foundation
Conclusion: This presentation shows you the benefits of DV2.0 for applied Narrow AI aka Machine Learning. Why DV2.0 is well suited for your foundation and how you can accelerate your machine learning with DV2.0.