Data Analytics: Voice in the Machine

Sep 20, 2021

Kirk Borne, Chief Science Officer at DataPrime and data science expert, is joined by Michael Brown, Global Technology Lead for Predictive Analytics at Jacobs. They discuss the explosion of data during the pandemic and the pivotal role of data scientists in crafting meaningful insights. The conversation dives into data democratization, emphasizing the need for innovation across all employee levels. Strategies for monetizing data and the evolving responsibilities of Chief Data Officers amidst emerging privacy regulations are also explored, paving the way for responsible data practices.

Ask episode

AI Snips

Chapters

Transcript

Episode notes

INSIGHT

Model Drift Is An Enterprise Problem

Kirk Borne says model drift combines concept drift and data drift and must be monitored actively.
He argues ML Ops and Model Ops are essential enterprise functions, not just sandbox experiments.

ADVICE

Democratize Data Literacy

Do build data literacy across the organization so everyone recognizes "everything is data."
Teach people to spot patterns and report insights to the right teams immediately.

ADVICE

Make Domain Experts Owners

Empower domain experts to own analytic outcomes and present results to peers.
Embed decision makers in the analytic process to build trust and adoption.

Get the Snipd Podcast app to discover more snips from this episode

Get the app

Dr. Kirk Borne is a sought-after global speaker and trainer on topics ranging from data mining, data management, big data analytics, data science, machine learning, artificial intelligence, internet of things, data-driven decision-making, modeling & simulation of dynamic systems to emerging technologies, future of work, education, and science. Among his many accolades, he was listed as #1 on the IPFC Online Web Agency’s 50 Top Digital Influencers to follow at the end of 2020 and in 2021.

Dr. Borne is currently the Chief Science Officer at AI startup DataPrime. He is also founder and owner of the new Data Leadership Group LLC. In these roles, he helps build the data profession, expand data literacy and data fluency across enterprises, and accelerate analytics innovation and value in data-drenched organizations. He spent nearly 20 years supporting NASA projects, including NASA’s Hubble Space Telescope as data archive project scientist, NASA’s Astronomy Data Center, and NASA’s Space Science Data Operations Office. He has extensive experience in large scientific databases and information systems, including expertise in scientific data mining. He was a contributor to the design and development of the new Large Synoptic Survey Telescope, for which he contributed in the areas of science data management, informatics and statistical science research, galaxies research, and education and public outreach. Dr. Borne has a B.S. degree Summa Cum Laude in Physics from Louisiana State University, and a Ph.D. in Astronomy from Caltech.

Michael Brown is the Global Technology Lead for Predictive Analytics at Jacobs where he provides strategy and oversite to how Jacobs leverages data and analytics on it’s projects, solutions and services. Michael has built a large community of practice within Jacobs focused on advancing Machine Learning, Data Science, and Data Engineering in Jacobs work and embedding it into all Jacobs offerings. Michael works with innovation teams and strategic initiatives to help teams identify how to leverage advanced analytics within their solutions and has developed and launched multiple digital products within Jacobs, most recently the Climate Risk Manager tool. Michael’s passion for innovation and advanced analytics has him constantly seeing new challenges and opportunities where he can bring creative, strategic thinking that is backed by technical excellence to disrupt the market status quo and create new channels for value with Jacobs clients.