Everywhere you look, change is redefining the data landscape. From the rise of the analytics engineer to data leaders clamoring to make self service analytics real, it’s clear organizations are looking for new opportunities to put their data to work.
But which changes matter? In this episode, we break down some of the data and analytics trends for 2023 that will help you identify key ways to rise above your competitors. Tom Davenport is back for another episode and this time he’s here to talk about AI and the relationship that the workforce should start building with it. Tony Baer weighs in on the great data framework debate. And Sonny Rivera points out the need for better education in the analytics industry, particularly when it comes to data modeling techniques.
Tune in to learn:
- The biggest surprise in the survey findings around the role of the CDO (03:13)
- Data governance or data enablement? (05:14)
- CDO’s making a play for CEO in 2023 and beyond (07:27)
- Legacy companies and AI adoption (08:30)
- 2023 prediction from Tom (13:50)
- Could we have predicted that data mesh would be such a hot topic in 2022? (23:45)
- Tony’s prediction for data mesh, data lakes, data warehouse, data fabric? (30:28)
- Tony’s prediction and hopes for CDOs in 2023 (35:00)
- ThoughtSpot’s new evangelist, Sonny Rivera (35:55)
- Sonny’s work in the DBT community (41:30)
- Sonny’s prediction for the analytics engineer in 2023 (44:10)
- The need for more modeling education in analytics boot camps (45:02)
- What should your 2023 resolution be as an analytics engineer? (48:06)
Tom Davenport is the President’s Distinguished Professor of Information Technology and Management at Babson College, the co-founder of the International Institute for Analytics, a Fellow of the MIT Initiative for the Digital Economy, and a Senior Advisor to Deloitte Analytics. He has written or edited twenty books and over 250 print or digital articles for Harvard Business Review (HBR), Sloan Management Review, the Financial Times, and many other publications. He earned his Ph.D from Harvard University and has taught at the Harvard Business School, the University of Chicago, the Tuck School of Business, Boston University, and the University of Texas at Austin.
One of HBR’s most frequently published authors, Tom has been at the forefront of the Process Innovation, Knowledge Management, and Analytics and Big Data movements. He pioneered the concept of “competing on analytics” with his 2006 Harvard Business Review article and his 2007 book by the same name. Since then, he has continued to provide cutting-edge insights on how companies can use analytics and big data to their advantage, and then on artificial intelligence. Tom’s book, co-authored with Julia Kirby, Only Humans Need Apply: Winners and Losers in the Age of Smart Machines offers tangible tools for individuals who need to work with cognitive technologies and in his latest book, The AI Advantage: How to Put the Artificial Intelligence Revolution to Work, he provides a guide to using artificial technologies in business. You can read a review of The AI Advantage on MIT Press.
Harvard Business Review editors highlighted his latest ideas in the 10 Must Reads 2017: The Definitive Management Ideas of the Year and again in the 2019 issue. One of his articles is also in the new 10 Must Reads on AI, Analytics, and the New Machine Age. Tom was also named one of ten “Top Voices” by LinkedIn–in 2016 for Education, and in 2018 for Technology. He has also been named one of the top three business/technology analysts in the world, one of the 100 most influential people in the IT industry, and one of the world’s top fifty business school professors by Fortune magazine.
|Tony Baer is the founding principal of dbInsight LLC, which you can find at https://dbinsight.io. The goal of dbInsight is to provide independent counsel to data and analytics technology providers navigating a changing world where cloud deployment, artificial intelligence, and data are upending their client’s expectations. Baer is an authority on how cloud-native architecture can transform traditional on-premise data platforms, and how it can be used to break down data and application silos. dbInsight delivers counsel to vendors and publishes independent research that is available through partners.
Baer is capitalizing on a decade of thought leadership at Ovum where he created two new research practices, and was one of Ovum’s most visible analysts. He reaches tens of thousands of followers as part of the Big on Data blogging team at ZDNet, along with his Twitter and LinkedIn blogging feeds.
Among his accomplishments, Baer created and defined the emerging “Fast Data” market segment, focusing on real-time analytics on data at scale. He pioneered research calling for emergent approaches to data governance and data quality that are now being embraced by data integration tool vendors.
Sonny Rivera is a Senior Analytics Evangelist at ThoughtSpot. Sonny is a modern data stack thought leader and expert. He brings with him over 25 years of experience in delivering data solutions that drive business value and increase the speed to insights. He also has a long history of bridging the gap between business needs and technical capabilities.
Get even more insights from data and analytics leaders like Tom, Tony and Sonny on The Data Chief.