O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

Corinium

JUNE 6, 2019

It is also important to have a strong test and learn culture to encourage rapid experimentation. What do you recommend to organizations to harness this but also show a solid ROI? Given enough trials and data, Machine Learning techniques are likely to add great value in the forecasting process. It is fast and slow.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Decision Management Solutions

JUNE 25, 2019

I presented on Backwards Engineering – planning Machine Learning (ML) deployment in reverse. Her presentation really showed the importance of persistence, experimentation and lateral thinking in developing an analytic solution. Plus, he had a great shout-out to CRISP-DM, a framework we really like too.

Predictive Analytics 75

Predictive Analytics Analytics Data Science Experimentation 75

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Given the two points above, that’s okay—there are good ways to direct data exploration toward ROI.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

MAY 8, 2019

I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Other good related papers include: “ Towards A Rigorous Science of Interpretable Machine Learning ”. Not yet, if ever.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Corinium

APRIL 25, 2019

What do you recommend to organizations to harness this but also show a solid ROI? Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Cost-Benefit 150