Podcasts about us chief data scientist

DJ Patil was the first-ever US Chief Data Scientist and has led some of the biggest data initiatives in government and business. He has also been at the forefront of leveraging AI to solve the thorniest problems companies face, as well as “stupid, boring problems in the back office.” He joins the WorkLab podcast to discuss the potential of AI to change business, how leaders can drive technological transformation, and why it's vital for data scientists to never lose sight of the human element. WorkLab  Subscribe to the WorkLab newsletter

Known for coining the term “Data Scientist”, DJ is a renowned technologist with a diverse background spanning academia, industry, and government. Having led product teams at companies like RelateIQ and LinkedIn, DJ was appointed by President Obama to be the first U.S. Chief Data Scientist where his efforts led to the establishment of nearly 40 Chief Data Officer roles across the Federal government, new health care programs as well as new criminal justice reforms. We discuss: “Dream in years, plan in months, evaluate in weeks, ship daily” High school misadventures that shaped DJ's world view Under-hyped opportunities in AI Building with the customer vs. “if you build it, they will come” Do we need more regulations on AI? Much more.   Segments: [0:01:48] Picking locks in high school. [0:07:15] How can we make it easier for others to take a risk on us? [0:11:29] How do you decide whom to take a chance on? [0:14:24] The 70-20-10 framework for choosing what to work on. [0:17:49] "No rules, only guidelines." [0:24:09] Developing personal ethics. [0:30:52] Building with the customer versus "if you build it, they will come." [0:34:51] "Dream in years, plan in months, evaluate in weeks, ship daily." [0:43:56] Ideas should be considered in terms of momentum. [0:46:11] Under-hyped trends in AI? [0:51:53] How does AI need to evolve to operate in fields that require very low margins of error? [0:56:09] Concerning advances that lack sufficient guardrails? [0:58:55] Do we need more regulations on AI? [1:02:48] "Failure is the only option."   Show Notes: DJ Patil on Linkedin: https://www.linkedin.com/in/dpatil/ The card that DJ carried in his notebook: https://twitter.com/DJ44/status/819316928623902720 DJ's interview series with thought leaders in Data Science: https://www.linkedin.com/learning/data-impact-with-dj-patil/data-science-how-did-we-get-here   Stay in touch:

Get excited. A half day of new ideas, practical guidance, and journeys into the latest innovations in data practices, technology, and leadership, headlined by DJ Patil (former US Chief Data Scientist) and Amy Gershkoff-Bolles (Chief Data Officer, Bit.ly). All that and more at our inaugural digital event, data.world summit, on September 23rd, 2020. Register now for free at: https://data.world/events/summit/

Jim Guszcza is the US Chief Data Scientist at Deloitte Consulting. Deloitte is the largest professional services network in the world in terms of revenue, with over 263,900 professionals globally.   Jim has been with Deloitte since 2001, where he took the lead on using behavioural nudge tactics to effectively act on model indications and prompt behavior change. Since then, he has gained extensive experience in applying predictive analytics to a variety of public and private sector domains.   In addition to his work with Deloitte, Jim is also an author and former professor at the University of Wisconsin-Madison business school. He received his PhD in Philosophy from the University of Chicago.   In this interview, we explore how philosophy and nudge theory can be applied to change human behavior using data science. Some highlights include:   How growing up a sci-fi fan led Jim to pursue science and philosophy as a career. The importance of a philosophy education and how it can train you to analyze issues you encounter in your career. How philosophy can be used to humanize algorithms and aid in complex decision making processes by taking away individual bias. How data science can uncover and expand ‘nudge theory’ to encourage certain human behaviors. Where are the boundaries of using information uncovered by data science? When does it cross the line from actionable to information overload?   Enjoy the show!   Show Notes: https://ajgoldstein.com/podcast/ep16/ Jim’s LinkedIn: https://www.linkedin.com/in/jim-guszcza-5330375/ AJ’s Twitter: https://twitter.com/ajgoldstein393/

A mind-extending talk with Jim Guszcza, US Chief Data Scientist at Deloitte Consulting, about human behavior, cognitive biases, our unique human strengths, choice architecture and how "Nudging" in combination with algorithmic power can help us to make better decisions both from a business perspective and in our personal lives.

We live in an age of revolutionary technology. However, this progress brings many deeper questions for our generation to explore. Dr. DJ Patil, former US Chief Data Scientist, addresses some of the ways we can responsibly use data to benefit all Americans.

As you all know, a few weeks ago, I spent some time in SF at the Artificial Intelligence Conference. I sat down with James Guszcza, US Chief Data Scientist at Deloitte Consulting to talk about human factors in machine intelligence. James was in San Francisco to give a talk at the O’Reilly AI Conference on “Why AI needs human-centered design.” We had an amazing chat, in which we explored the many reasons why the human element is so important in ML and AI, along with useful ways to build algorithms and models that reflect this human element, while avoiding out problems like group-think and bias. This was a very interesting conversation. I enjoyed it a ton, and I’m sure you will too! The notes for this episode can be found at twimlai.com/talk/56

Hilary and Roger follow up on open data and data sharing in government. They also discuss artificial intelligence, self-driving cars, and doing your taxes in R. Show notes: Lucy D’Agostino McGowan (@LucyStats) made a great translation of Hill’s criteria using XKCD comics: http://www.lucymcgowan.com/hill-for-data-scientists.html Lucy’s web page: http://www.lucymcgowan.com Preparing for the Future of Artificial Intelligence: https://www.whitehouse.gov/sites/default/files/whitehouse_files/microsites/ostp/NSTC/preparing_for_the_future_of_ai.pdf Partially Derivative White House Special – with DJ Patil, US Chief Data Scientist: http://12%20Dec%202016%20White%20House%20Special%20with%20DJ%20Patil,%20US%20Chief%20Data%20Scientist Not So Standard Deviations – Standards are Like Toothbrushes – with with Daniel Morgan, Chief Data Officer for the U.S. Department of Transportation and Terah Lyons, Policy Advisor to the Chief Technology Officer of the U.S.: https://soundcloud.com/nssd-podcast/episode-29-standards-are-like-toothbrushes Henry Gitner Philatelists: http://www.hgitner.com Some Pioneers of Modern Statistical Theory: A Personal Reflection by Sir David R. Cox: https://drive.google.com/file/d/0B678uTpUfn80a2RkOUc5LW51cVU/view?usp=sharing

GitHub for data nerds