Recently we launched a package of EnterpriseAIML services for the Dealer/Distributor and Industrial Supply segment. Four key problems could use intelligent automation in this industry: Sales Intelligence: Sales Intelligence trained…

A CEO’s non-technical guide to investing into Machine Learning and Data Science CEOs are contending with a lot of technology buzz words. In this article I intend to convert the…

A very sensible article from Gartner: Summarized in a good picture below. Generalized intelligence, LLMs trained to understand every thing and predict future.. some times hype cycle gets out of…

How do we model the real world in computers? How do we solve real world problems with computers? Math is neat, it captures the truth without any of the unnecessary…

Enthusiastic engineers are cranking out quick AI/ML prototypes at great speed. This check list tries to help VPs shepherd this energy into valuable solutions for the business. Business Value Promise:…

CIOs are contending with a lot of technology buzz words. In this article I intend to convert the discussion about Data Science and Machine Learning into a business discussion. There…

Mission critical AI-ML systems need interpretable, traceability, auditing, bias detection, security, compliance, governance, ownership and monitoring. Highly interpretable systems do not feel like they are automating learning and intelligence. Completely…