Dr. Mindle's Musings

In business intelligence (BI) and data analytics, the semantic layer has been a game changer in driving BI and data analytics with intuitive and commonly defined metrics.  The same opportunity exists for a semantic layer in the parallel universe of AI/ML.

(Last updated: 09/27/2022 | PERSONAL OPINION) When I worked as an intern in GE R&D center more than two decades ago, my boss was a Paris 6 (Pierre and Marie Curie University) trained mathematician specialized in infinite-dimensional partial differential equations.

I hereby solemnly declare the field of Machine Decisioning (MD) to counter our industry’s single-minded fixation on Machine “Learning” (ML). We have been exploiting one trick (neural net) for long, time to explore: the new, the old, the unhyped… To

Sketch… | Personal Opinion Automation is the sibling of digitization. With the recent great resignation and labor shortages, it’s opportune for us to reflect on the topic of automation. Procedural Automation Any informational tasks carried out in a sequence of

(Sketch… | PERSONAL OPINION) From both regulatory pressures (GDPR, HIPPA, CCPA, LGPD…) and the ever-increasing sizes of different elephants in the room (lake, warehouses, stores…), wherever you turn these days, you’ll have an earful of governance, yet nobody gives a

(Last updated: 10/17/2021 | PERSONAL OPINION) Since I left SAS Institute, an analytical software vendor, I have worked in two analytics heavy shops, both in process of digitizing their services and viewing data, analytics and AI/ML (DnA) as the core

Last updated 4/12/2020 | Personal Opinion Wouldn’t it be nice if I could swap my DNA with Einstein’s back at school and Jeff Bezos’s now at work? No, I’m not talking about that DNA, I’m talking about Data and Analytics,

Last updated 3/22/2020 | Personal Opinion You know a technology is popular when US government writes it in a bill. APIs are such technology mandated in the 21st Century Cures Act, which aims to reduce healthcare cost by exchanging and

CX Mindmap Survey

Almost all classmates and friends in my professional network are working in the field of data sciences now. From small bank in Cleveland Ohio to the FANG (Facebook, Amazon, Netflix, Google) in Silicon Valley. From conversations with them, it occurred