AI adoption is being fueled by an improved tool ecosystem

We now are in the implementation phase for AI technologies. In this post, I share slides and notes from a keynote that Roger Chen and I gave at the 2019 Artificial Intelligence conference in New York City. In this short summary, I highlight results from a — survey (AI Adoption in the Enterprise) and describeContinue reading “AI adoption is being fueled by an improved tool ecosystem”

Becoming a machine learning company means investing in foundational technologies

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in London earlier this year. I will highlight the results of a recent survey on machineContinue reading “Becoming a machine learning company means investing in foundational technologies”

Managing risk in machine learning

Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Let’s begin byContinue reading “Managing risk in machine learning”

Data collection and data markets in the age of privacy and machine learning

While models and algorithms garner most of the media coverage, this is a great time to be thinking about building tools in data. In this post I share slides and notes from a keynote I gave at the Strata Data Conference in London at the end of May. My goal was to remind the data communityContinue reading “Data collection and data markets in the age of privacy and machine learning”

How to build analytic products in an age when data privacy has become critical

Privacy-preserving analytics is not only possible, but with GDPR about to come online, it will become necessary to incorporate privacy in your data products. In this post, I share slides and notes from a talk I gave in March 2018 at the Strata Data Conference in California, offering suggestions for how companies may want to buildContinue reading “How to build analytic products in an age when data privacy has become critical”

We need to build machine learning tools to augment machine learning engineers

We need to build machine learning tools to augment our machine learning engineers. In this post, I share slides and notes from a talk I gave in December 2017 at the Strata Data Conference in Singapore offering suggestions to companies that are actively deploying products infused with machine learning capabilities. Over the past few years,Continue reading “We need to build machine learning tools to augment machine learning engineers”