Deep Probabilistic Decision Machines (DPDM) for building a causally generative process model-based action control in Enterprise AI

Original research by Chief Scientist, AI and Data Science, Hyungil Ahn, Ph.D. and the Noodle.AI R&D team (Santiago Olivar; Hershel Mehta; Young Chol Song; Siva Devarakonda) There are many machine learning libraries and automated tools that might be applied to enterprise AI problems. We find…

Webcast replay: Noodle.ai sits down with Intel and Forrester to talk smart factories

We sat down with Noodle.ai’s CTO Dr. Ted Gaubert, Forrester’s Mike Gualtieri, and Intel’s Rick Lisa to talk about how artificial intelligence can create a learning factory in our webcast “The Future of Manufacturing is the Self-Driving Factory.” CMO Gail Moody-Byrd moderated the chat. Transcript…

Enterprise artificial intelligence: Should you build or buy?

Looking at the race to build vs. buy when ramping up internal organization AI/ML capabilities: Anecdotally, I have seen many organizations underestimate how much more difficult it is to build high performing AI/ML running in production vs. the traditional software development process. This is in…

Stuck in an AI pilot rut? Here’s how to get it right

“…much of what we do with machine learning happens beneath the surface. Machine learning drives our algorithms for demand forecasting, product search ranking, product and deals recommendations, merchandising placements, fraud detection, translations, and much more. Though less visible, much of the impact of machine learning…