logo
episode-header-image
Jun 2023
47 m

#142 Is Data Science Still the Sexiest J...

DATACAMP
About this episode

About 10 years ago, Thomas Davenport & DJ Patil published the article "Data Scientist: The Sexiest Job of the 21st Century" in the Harvard Business Review. In this piece, they described the bourgeoning role of the data scientist and what it will mean for organizations and individuals in the coming decade.

As time has passed, data science has become increasingly institutionalized. Once seen as a luxury, it is now deemed a necessity in every modern boardroom. Moreover as technologies like AI and systems like ChatGPT keep astonishing us with their capabilities in handling data science tasks, it raises a pertinent question: Is Data Science Still the Sexiest Job of the 21st Century?

In this episode, we invited Thomas Davenport on the show to share his perspective on where data science & AI are at today, and where they are headed. Thomas 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. One of HBR’s most frequently published authors, Thomas 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.

Throughout the episode, we discuss how data science has changed since he first published his article, how it has become more institutionalized, how data leaders can drive value with data science, the importance of data culture, his views on AI and where he thinks its going, and a lot more.

Links from the Show:

Working with AI by Thomas Davenport

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work by Thomas Davenport

Harvard Business Review

New Vantage Partners

CCC Intelligent Solutions

Radar AI

Up next
Aug 18
#316 Enterprise AI Agents with Jun Qian, VP of Generative AI Services at Oracle
Combining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations naturally, and accessing up-to-date informatio ... Show More
56m 36s
Aug 13
#315 DataFramed x Alter Everything: Future-Proofing Your Career in AI and Data Analytics | Richie & Megan Bowers
The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge st ... Show More
41m 5s
Aug 11
#314 How to Have a Career in Data Science in 2025 with Dawn Choo, Data Careers Influencer, Co-Founder at Interview Master
Data science continues to evolve in the age of AI, but is it still the 'sexiest job of the 21st century'? While generative AI has transformed the landscape, it hasn't replaced data scientists—instead, it's created more demand for their skills. Data professionals now incorporate A ... Show More
47m 4s
Recommended Episodes
Feb 2021
ThoughtSpot’s Cindi Howson on Chief Data Officer Success Strategies
Much like a roller coaster, 2020 was full of many loops, twists, and turns. From accelerated digital transformations to expedited migrations to the cloud, you were asked to do it all— often with far less time and resources. Through it all, The Data Chief was right there with you, ... Show More
38m 3s
Jan 2022
Academics and Data Science Innovation with Dr. David Bader, Distinguished Professor and Director, Institute for Data Science, New Jersey Institute of Technology
The data science field is expanding because so many businesses and other institutions require skilled workers who can manage data as well as provide insights. Companies and students are clamoring for more academic programs. There is great need, but academic institutions are still ... Show More
39m 32s
Dec 2021
The Top Trends in 2022 for Data Leaders from DataRobot, Databricks, and Google
At the end of every year, you’re probably asking the same questions we are. What are the big changes coming next year? How do I stay ahead of them? And what’s separating real trends from the hype?To answer these questions, we are excited to bring together some of the top minds in ... Show More
1h 12m
Jan 2022
GM’s Iwao Fusillo on Recruiting Top Talent and Building a Successful Data Literacy Strategy
For years, businesses have prioritized academic background and domain expertise when searching for top talent, matching current skills to job reqs with little regard for candidate aptitude. But according to Iwao Fusillo, Chief Data and Analytics Officer at General Motors, this is ... Show More
51m 23s
Feb 2023
Deloitte’s Nitin Mittal on the Secrets of 'All-In' AI Success - Ep. 188
Artificial intelligence is the new electricity. The fifth industrial revolution. And companies that go all-in on AI are reaping the rewards. So how do you make that happen? That big question — how? — is explored by Nitin Mittal, Principal at Deloitte, one of the world’s largest p ... Show More
38m 38s
Jul 2020
1281: Driving Growth Through Enterprise A.I. Technology
Gary Saarenvirta, founder/CEO of Daisy Intelligence, is recognized as one of North America’s preeminent authorities on artificial intelligence. Gary is a passionate evangelist for the application of A.I. and reinforcement learning in strategic merchandising decisions. He’s not af ... Show More
24m 8s
Nov 2022
[RB] Is studying AI in academia a waste of time? (Ep. 208)
Companies and other business entities are actively involved in defining data products and applied research every year. Academia has always played a role in creating new methods and solutions/algorithms in the fields of machine learning and artificial intelligence. However, there ... Show More
20m 1s
Mar 2024
How Data and Analytics Can Bring AI and Humans Together
As organizations implement AI in decision making and how work gets done, trustworthy data is essential to adding value every step of the way. Inadequate data governance or unclear AI ambitions leaves enterprises at risk of falling behind. In this keynote address from Gartner Data ... Show More
26m 4s
Sep 2023
2503: LogicMonitor - Data Observability with Taggart Matthiesen
Today, I dive into the complex and often nebulous world of data observability with a leading expert in the field, Taggart Matthiesen, the Chief Product Officer at LogicMonitor. With an impressive career trajectory that includes pivotal roles at Lyft, Twitter, and Salesforce, Tagg ... Show More
22m 7s
Sep 2022
The Three Roles of the Chief Data Officer: ADP’s Jack Berkowitz
As chief data officer of payroll and benefits management company ADP, Jack Berkowitz has three primary responsibilities. One is to oversee the organization’s data overall, ensuring that functions like data governance, security, and analytics, are running well. Another is to build ... Show More
24m 43s