Podcast appearances and mentions of dj patil

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

DJ Patil served as the first U.S. Chief Data Scientist under President Obama. He's currently a GP at GreatPoint Ventures, on the Board of Devoted Health, and co-chairs the taskforce on GenAi for the Pentagon.In this episode of World of DaaS, DJ and Auren discuss: AI's impact on data scienceHealthcare data transformationInnovation, bureaucracy and efficiency in National SecurityThe best higher education choices in terms of ROILooking for more tech, data and venture capital intel? Head to worldofdaas.com for our podcast, newsletter and events, and follow us on X @worldofdaas.  You can find Auren Hoffman on X at @auren and DJ Patil on X at @dpatil.Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

It's been 12 years since Thomas H Davenport and DJ Patil first declared data science to be “the sexiest job of the 21st century” and in that time a lot has changed. Universities have started offering data science degrees; the number of data scientists has grown exponentially; and generative AI technologies, such as Chat-GPT and Dall-E have transformed the world.Yet, throughout that time, one thing has remained the same. Most machine learning projects still fail to deploy.However, it's not the technical capabilities of data scientists that let them down – those are now better than ever before. Rather, “it's the lack of a well-established business practice that is almost always to blame.”In this episode, Dr Eric Siegel joins Dr Genevieve Hayes to discuss bizML, the new “gold-standard”, six-step practice he has developed “for ushering machine learning projects from conception to deployment.”Guest BioDr Eric Siegel is a leading machine learning consultant and the CEO and co-founder of Gooder AI. He is also the founder of the long-running Machine Learning Week conference series; author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die and the recently released The AI Playbook; and host of The Dr Data Show podcast.Highlights(01:21) Challenges in machine learning deployment(05:00) The importance of business involvement in ML projects(15:39) Defining bizML and its steps(25:32) Understanding predictive analytics(26:52) Challenges in model deployment and MLOps(29:12) BizML for generative and causal AI(31:25) Exploring uplift modeling(35:45) Gooder AI: bridging the gap between data science and business value(45:45) Beta testing and future plans for Gooder AI(47:35) Final advice for data scientistsbLinksBizML websiteConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE

Genevieve Hayes Consulting Episode 48: Overcoming the Machine Learning Deployment Challenge It's been 12 years since Thomas H Davenport and DJ Patil first declared data science to be “the sexiest job of the 21st century” and in that time a lot has changed. Universities have started offering data science degrees; the number of data scientists has grown exponentially; and generative AI technologies, such as Chat-GPT and Dall-E have transformed the world.Yet, throughout that time, one thing has remained the same. Most machine learning projects still fail to deploy.However, it's not the technical capabilities of data scientists that let them down – those are now better than ever before. Rather, “it's the lack of a well-established business practice that is almost always to blame.”In this episode, Dr Eric Siegel joins Dr Genevieve Hayes to discuss bizML, the new “gold-standard”, six-step practice he has developed “for ushering machine learning projects from conception to deployment.” Guest Bio Dr Eric Siegel is a leading machine learning consultant and the CEO and co-founder of Gooder AI. He is also the founder of the long-running Machine Learning Week conference series; author of the bestselling Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie or Die and the recently released The AI Playbook; and host of The Dr Data Show podcast. Highlights (01:21) Challenges in machine learning deployment(05:00) The importance of business involvement in ML projects(15:39) Defining bizML and its steps(25:32) Understanding predictive analytics(26:52) Challenges in model deployment and MLOps(29:12) BizML for generative and causal AI(31:25) Exploring uplift modeling(35:45) Gooder AI: bridging the gap between data science and business value(45:45) Beta testing and future plans for Gooder AI(47:35) Final advice for data scientistsb Links BizML website Connect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE The post Episode 48: Overcoming the Machine Learning Deployment Challenge first appeared on Genevieve Hayes Consulting and is written by Dr Genevieve Hayes.

Hugo speaks with Vincent Warmerdam, a senior data professional and machine learning engineer at :probabl, the exclusive brand operator of scikit-learn. Vincent is known for challenging common assumptions and exploring innovative approaches in data science and machine learning. In this episode, they dive deep into rethinking established methods in data science, machine learning, and AI. We explore Vincent's principled approach to the field, including: The critical importance of exposing yourself to real-world problems before applying ML solutions Framing problems correctly and understanding the data generating process The power of visualization and human intuition in data analysis Questioning whether algorithms truly meet the actual problem at hand The value of simple, interpretable models and when to consider more complex approaches The importance of UI and user experience in data science tools Strategies for preventing algorithmic failures by rethinking evaluation metrics and data quality The potential and limitations of LLMs in the current data science landscape The benefits of open-source collaboration and knowledge sharing in the community Throughout the conversation, Vincent illustrates these principles with vivid, real-world examples from his extensive experience in the field. They also discuss Vincent's thoughts on the future of data science and his call to action for more knowledge sharing in the community through blogging and open dialogue. LINKS The livestream on YouTube (https://youtube.com/live/-CD66CI1pEo?feature=share) Vincent's blog (https://koaning.io/) CalmCode (https://calmcode.io/) scikit-lego (https://koaning.github.io/scikit-lego/) Vincent's book Data Science Fiction (WIP) (https://calmcode.io/book) The Deon Checklist, an ethics checklist for data scientists (https://deon.drivendata.org/) Of oaths and checklists, by DJ Patil, Hilary Mason and Mike Loukides (https://www.oreilly.com/radar/of-oaths-and-checklists/) Vincent's Getting Started with NLP and spaCy Course course on Talk Python (https://training.talkpython.fm/courses/getting-started-with-spacy) Vincent on twitter (https://x.com/fishnets88) :probabl. on twitter (https://x.com/probabl_ai) Vincent's PyData Amsterdam Keynote "Natural Intelligence is All You Need [tm]" (https://www.youtube.com/watch?v=C9p7suS-NGk) Vincent's PyData Amsterdam 2019 talk: The profession of solving (the wrong problem) (https://www.youtube.com/watch?v=kYMfE9u-lMo) Vanishing Gradients on Twitter (https://twitter.com/vanishingdata) Hugo on Twitter (https://twitter.com/hugobowne) Check out and subcribe to our lu.ma calendar (https://lu.ma/calendar/cal-8ImWFDQ3IEIxNWk) for upcoming livestreams!

Today we're joined by Ray Lane and DJ Patil from GreatPoint Ventures. Ray, known for his pivotal role at Oracle during its turnaround, shares his journey from the US Army to top tech positions and eventually co-founding GreatPoint Ventures, where he supports entrepreneurs. DJ Patil – investor, entrepreneur, and former U.S. Chief Data Scientist – joins to dive into the evolution of databases.Tune in as they share their experiences with early databases such as Db2, the rise of Postgres, and current challenges in the tech landscape. With insights on leadership, community-driven development, and more, this episode is a must-listen for developers, entrepreneurs, and tech enthusiasts.In this episode, we explore:The critical need for evolving roles within a company to foster growthChallenges of data distribution vs. keeping data centralized and speedy“Siding with the community” and enhancing user capabilitiesThe risks of rushing towards generative AI, and the importance data hygiene and data cultureLinks mentioned:GreatPoint VenturesDJ Patil on LinkedInRay Lane on LinkedIn

In doing research on the data-driven business approach, Jay highlights two books he read along the way. This book report episode has insights and descriptions on two books related to being a Data Driven enterprise and how they can help you understand a data-driven culture and how nonprofits can thrive when they focus on what the data in telling them.   Data Drive - Creating a Data Culture by DJ Patil and Hilary Mason O'Reilly Media, Inc. Published 2015 ISBN: 9781491921197   Data Driven Nonprofits by Steve MacLaughlin Saltire Press Published 2016 ISBN: 9780988850712 00.00 Intro: So much data, so many questions 01.00 (Book 1) Data Driven: Creating a Data Culture 04.00 (Book 2) Data driven non-profits  

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:

Hugo speaks with Chris Wiggins (Columbia, NYTimes) and Matthew Jones (Princeton) about their recent book How Data Happened, and the Columbia course it expands upon, data: past, present, and future. Chris is an associate professor of applied mathematics at Columbia University and the New York Times' chief data scientist, and Matthew is a professor of history at Princeton University and former Guggenheim Fellow. From facial recognition to automated decision systems that inform who gets loans and who receives bail, we all now move through a world determined by data-empowered algorithms. These technologies didn't just appear: they are part of a history that goes back centuries, from the census enshrined in the US Constitution to the birth of eugenics in Victorian Britain to the development of Google search. DJ Patil, former U.S. Chief Data Scientist, said of the book "This is the first comprehensive look at the history of data and how power has played a critical role in shaping the history. It's a must read for any data scientist about how we got here and what we need to do to ensure that data works for everyone." If you're a data scientist, machine learning engineer, or work with data in any way, it's increasingly important to know more about the history and future of the work that you do and understand how your work impacts society and the world. Among other things, they'll delve into * the history of human use of data; * how data are used to reveal insight and support decisions; * how data and data-powered algorithms shape, constrain, and manipulate our commercial, civic, and personal transactions and experiences; and * how exploration and analysis of data have become part of our logic and rhetoric of communication and persuasion. You can also sign up for our next livestreamed podcast recording here (https://www.eventbrite.com/e/data-science-past-present-and-future-tickets-695643357007?aff=kjvg)! LINKS How Data Happened, the book! (https://wwnorton.com/books/how-data-happened) data: past, present, and future, the course (https://data-ppf.github.io/) Race After Technology, by Ruha Benjamin (https://www.ruhabenjamin.com/race-after-technology) The problem with metrics is a big problem for AI by Rachel Thomas (https://www.ruhabenjamin.com/race-after-technology) Vanishing Gradients on YouTube (https://www.youtube.com/channel/UC_NafIo-Ku2loOLrzm45ABA)

A CMO Confidential Interview with D J Patil, currently an investor and partner at GreatPoint Ventures and formerly the Head of Data Products & Chief Scientist at LinkedIn, Distinguished Research Scientist at eBay, and U.S. Chief Data Scientist in the Obama Administration. DJ discusses why "clever beats smart," the evolution of data science and AI, how to use your data science team as a force multiplier, and what it was like to work in The White House. Key topics include why you should have always have a "Spock on the bridge," how to prevent the "weaponization of data," when to override the data, and why you should "test and try" versus going "all in" on most data solutions. Listen to hear about the data science role in public policy solutions. Learn more about your ad choices. Visit megaphone.fm/adchoices See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Guest Karthik Ram Panelists Richard Littauer | Abby Cabunoc Mayes Show Notes Hello and welcome to Sustain! The podcast where we talk about sustaining open source for the long haul. In this episode, Richard and Abby are joined by guest Karthik Ram, a research scientist at UC Berkeley's Institute for Data Science and Berkeley Initiative for Global Change Biology, as well as co-founder and director of the rOpenSci Project, and lead at URSSI. Karthik's journey from field ecologist to data scientist has propelled him into roles that advocate for sustainable scientific software and open science. He currently manages projects, fundraises, and mentors while also overseeing initiatives aimed at developing best practices in software development, advocating for supporting policy, building user and developer communities. He emphasizes the significance of reproducibility and sustainability in research software and offers an empowering approach to maintaining academic software. Hit download to hear much more! [00:02:00] Karthik explains what he does as a senior data scientist, and he tells us that he views himself as an “engineering manager” rather than an individual contributor. [00:03:01] His transition from a field ecologist to a data scientist was triggered by handling large amounts of data and developing software to work with it. [00:06:21] The conversation turns to the JOSS, the Journal of Open Source Science, and Karthik shares the origin story for the software review process. [00:09:03] Karthik dives into the UC Berkeley's Science Institute, he tells us how it started, and what his role was there. [00:11:11] Karthik's involved with the URSSI, where they aim to collect and disseminate best practices in software development, advocate for supporting policy at a national level, and grow user and develop communities around their projects. [00:12:55] One of the projects coming up in the fall for URSSI is they're going to run a school for research software engineering. [00:15:16] Karthik and Kyle assembled a course focusing on the best practices for developing sustainable research software by drawing on topics from past workshops and classes they've conducted. [00:17:12] We hear about the commonalities between scientific software sustainability versus normal open source software sustainability, and Karthik explains that scientific software sustainability is unique because it caters to niche groups, making it expensive to build and maintain. [00:20:20] Karthik tells us about a project he's working on with Patrice Lopez and James Howison, to identify what tools researchers use in various domains, how their usage evolves over time, and which clusters of tools drive research in certain areas. [00:23:34] As part of this project, Karthik and his team are using a tool called, GROBID, to process structured documents to XML, extract entities, and analyze the usage of software mentioned in scientific papers. [00:28:23] Karthik highlights the difficulties researchers face in keeping with best practices for code hosting and archival copies and discusses the misconceptions about GitHub being a permanent archive and the need for a safer, more reliable repository like Zenodo. [00:31:31] Richard brings up the issue of measuring the impact of code repositories and whether a similar system to academic journal impact factors could arise. [00:33:02] Karthik details an approach for maintaining academic software. [00:38:02] Find out where you can learn more about Karthik and his work on the web. Quotes [00:07:43] “They would bring their puppy and ask us to adopt it.” [00:15:45] “Even today, we do not have a good appreciation for research software and the role that it plays in driving research on all the things that we care about.” [00:16:21] “Another pet peeve that I have is that people think money is the solution to everything.” [00:16:38] “If we teach more projects about best practices, it's very likely that software that integrates those best practices will actually continue to exist.” [00:17:51] “The challenge with research software is there's a lot of software that sits on the long tail.” [00:28:39] “I think the challenge is that we don't really need to invent anything new.” [00:36:14] “Part of the work we want people to do is invest community early on.” Spotlight [00:38:47] Abby's spotlight is Governing Open by Shauna Gordon-McKeon. [00:39:15] Richard's spotlight is Bertram Ludäscher and William Michener. [00:39:43] Karthik's spotlight is Patrice Lopez. Links SustainOSS (https://sustainoss.org/) SustainOSS Twitter (https://twitter.com/SustainOSS?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) SustainOSS Discourse (https://discourse.sustainoss.org/) podcast@sustainoss.org (mailto:podcast@sustainoss.org) SustainOSS Mastodon (https://mastodon.social/tags/sustainoss) Open Collective-SustainOSS (Contribute) (https://opencollective.com/sustainoss) Richard Littauer Twitter (https://twitter.com/richlitt?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor) Richard Littauer Mastodon (https://mastodon.social/@richlitt) Abby Cabunoc Mayes Twitter (https://twitter.com/abbycabs?lang=en) Karthik Ram Website (https://ram.berkeley.edu/) Karthik Ram Twitter (https://twitter.com/_inundata?lang=en) Karthik Ram GitHub (https://github.com/karthik) Karthik Ram LinkedIn (https://www.linkedin.com/in/karthik-ram-93334954) rOpenSci (https://ropensci.org/) The Journal of Open Source Software (https://joss.theoj.org/) Arfon Smith-Chatops-Driven Publishing (https://www.arfon.org/) DJ Patil (https://en.wikipedia.org/wiki/DJ_Patil) Berkeley Institute for Data Science (https://bids.berkeley.edu/) URSSI (US Research Software Sustainability Institute) (https://urssi.us/) Software carpentry (https://software-carpentry.org/) Report from the URSSI Winter School pilot (https://urssi.us/blog/2020/01/29/report-from-the-urssi-winter-school-pilot/) Kyle E. Niemeyer, Ph.D. (https://niemeyer-research-group.github.io/) Science-miner (https://science-miner.com/) GROBID (https://github.com/kermitt2/grobid) James Howison-Associate Professor (https://www.ischool.utexas.edu/people/people-details?PersonID=175) Issuing a persistent identifier for your repository with Zenodo-GitHub Docs (https://docs.github.com/en/repositories/archiving-a-github-repository/referencing-and-citing-content#issuing-a-persistent-identifier-for-your-repository-with-zenodo) Governance of Open Source Software by Shauna Gordon-McKeon (https://governingopen.com/) Bertram Ludäscher (https://scholar.google.com/citations?user=nYx9xasAAAAJ&hl=en) William Michener (https://scholar.google.com/citations?user=TJ5xlKsAAAAJ&hl=en) Patrice Lopez (https://scholar.google.com/citations?user=xDfUqfcAAAAJ&hl=en) Credits Produced by Richard Littauer (https://www.burntfen.com/) Edited by Paul M. Bahr at Peachtree Sound (https://www.peachtreesound.com/) Show notes by DeAnn Bahr Peachtree Sound (https://www.peachtreesound.com/) Special Guest: Karthik Ram.

It is about time companies went all in on artificial intelligence. Tom Davenport joins Vasant Dhar in episode 56 of Brave New World to discuss how his work with AI in the corporate world makes him such an optimist. Useful resources: 1. Tom Davenport on Amazon, Twitter, Google Scholar, LinkedIn, Babson College and his own website. 2. All-in On AI -- Thomas H Davenport and Nitin Mittal.. 3. Competing on Analytics -- Thomas H Davenport and Jeanne G Harris. 4. Working with AI -- Thomas H Davenport and Steven M Miller. 5. The AI Advantage -- Thomas H Davenport. 6. Google fires software engineer who claims AI chatbot is sentient -- The Guardian. 7. Can AI have a soul? -- Fireside Chat with Blake Lemoine. 8. Portrait of an AI Leader: Piyush Gupta of DBS Bank -- Tom Davenport and Randy Bean. 9. The Future Of Work Now: Morgan Stanley's Financial Advisors And The Next Best Action System -- Thomas H Davenport. 10. Stop Tinkering with AI -- Thomas H Davenport and Nitin Mittal. 11. The AI-First Company -- Ash Fontana. 12. Competing in the Age of AI -- Marco Iansiti and Karim R Lakhani. 13. Data Scientist: The Sexiest Job of the 21st Century -- Thomas H Davenport and DJ Patil. 14. Foundation Medicine. 15. How Computer Automation Affects Occupations: Technology, Jobs, and Skills -- James E Bessen. Check out Vasant Dhar's newsletter on Substack. Subscription is free!

Phil Howes is the cofounder and Chief Scientist of Baseten, an ML application builder for data scientists. They have raised $20M from top tier investors such as Greylock, Mustafa Suleyman, DJ Patil, and Greg Brockman. He was previously the co-founder of Shape, a people analytics platform acquired by Reflektive in 2018. Prior to that, he was an ML Engineer at Gumroad. He has a PhD in Mathematics from the University of Sydney.In this episode, we cover a range of topics including:- Top 3 learnings from running his first startup- What he's building now at Baseten- How to think about design and UX for ML products- Pricing mechanics- Competitive landscape - Their open source strategy - How they got their first 10 users- Self serve strategy for ML products- Measuring customer success--------Where to find Prateek Joshi:Newsletter: https://prateekjoshi.substack.comWebsite: http://prateekj.comLinkedIn: https://www.linkedin.com/in/prateek-joshi-91047b19

How do you unleash the power of data to benefit all Americans? DJ Patil became the first U.S. Chief Data Scientist under President Obama, and discusses with The Data Wranglers Joe Hellerstein and Jeffrey Heer how he helped to define what data science means and does for government, public policy and all Americans. Perhaps one of the most influential data scientists in the world, DJ discusses how data scientists played an integral role in the startup of LinkedIn and in the early discovery of the Covid pandemic. DJ also discusses the role of data science in public health and the criminal justice systems. Trifacta CEO Adam Wilson drops in to chat with DJ and announce an industry-changing acquisition by Alteryx. #TheDataWranglers

Over the last decade, we have seen tremendous advances in big data, data science, artificial intelligence and machine learning. Every compnay wants to be a tech-first comapny now, and wants to “do data science". Companies can probably double their valuation by just adding a “.ai" to their names. Companies that actually use artificial intelligence and machine learning maybe have an even higher premium on their valuations. However, is Data Science worth the hype? Is AI going to take over the world? And why is data science being eaten by computer science? What happned to classical analytics, operations resarch and statistics? This week's guest is someone who did data science even before the phrase had b een invented. Amaresh Tripathy is SVP and Analytics Business Leader at Genpact. Till recently he was a Partner with PWC, leading the firm's Data & Analytics Consulting, and helped build a $500mm business. Previously, Amaresh founded and co-led the Information and Analytics Practice for Diamond Management & Technology Consultants, and also serves as Adjunct Professor of Data Science and Business Analytics at the University of North Carolina, Charlotte. Amaresh has helped Fortune 500 companies in multiple industries (healthcare, retail & consumer, communications) to help define and implement their analytics and AI strategies and institutionalize data enabled decision making. He has led organizations to help embed analytics in their front, middle and back office functions and manage the change process. Show Notes: 00:03:00: Definitions - data science, artificial intelligence, machine learning, etc. 00:04:15: The rise of computer science and machine learning 00:10:15: The probelm with Kaggle, and the “race for accuracy” 00:11:30: How to scale analytics without doing bad data analysis 00:18:00: How selling data science has changed over the last decade 00:23:00: The interaction between business and Data Science 00:26:30: “Creating bilinguals at scale” 00:30:30: Machine learning trying to eat data science 00:39:00: Comparing data science practices across countries Links: Thomas Davenport and DJ Patil on Data Science as the “sexiest job of the 21st century” (2012 article) Hal Varian on statistics as a “sexy job” Data Chatter is a podcast on all things data. It is a series of conversations with experts and industry leaders in data, and each week we aim to unpack a different compartment of the "data suitcase". The podcast is hosted by Karthik Shashidhar. He is a blogger, newspaper columnist, book author and a former data and strategy consultant. Karthik currently heads Analytics and Business Intelligence for Delhivery, one of India's largest logistics companies. You can follow him on twitter at @karthiks, and read his blog at noenthuda.com/blog

We're back in the office. Now what? We roll into season two with a straightforward question: “Did we learn anything new about data work and data people during the pandemic?” Who better to address that subject than DJ Patil, mathematician, entrepreneur, and the very first U.S. Chief Data Scientist? Join Tim, Juan, and DJ for a wide-ranging conversation on data cultures, architectures, roles, and enduring lessons from the past 16-months of largely remote work. This episode will feature: Hot new job titles and emerging opportunities How to establish a new data culture built around hybrid work environments Favorite podcast, book, or show discovered during the Pandemic

Roger and DJ share some of the history behind data science as we know it today, and reflect on their experiences working on California's COVID-19 response. --- Roger Magoulas is Senior Director of Data Strategy at Astronomer, where he works on data infrastructure, analytics, and community development. Previously, he was VP of Research at O'Reilly and co-chair of O'Reilly's Strata Data and AI Conference. DJ Patil is a board member and former CTO of Devoted Health, a healthcare company for seniors. He was also Chief Data Scientist under the Obama administration and the Head of Data Science at LinkedIn. Roger and DJ recently volunteered for the California COVID-19 response, and worked with data to understand case counts, bed capacities and the impact of intervention. Connect with Roger and DJ:

At age 5 James Chan was juggling 3 balls, at age 8 he was juggling 5 balls & three flaming torches and by age 10 he was picking pockets . James' credits include appearing on ABC7 News national television with Tiffany Haddish , Access Daily with Penn and Teller , and performing for the White House's Chief Data Scientist, DJ Patil. James recently featured in the Mercury news for winning the International Brotherhood of Magician's' online magic contest beating out many magicians twice his age in the first ever magic competition held on Zoom. He was also the youngest person ever to be featured on Silicon Valley Business Journal.

Entrepreneur Suneel Gupta argues that it's more important than ever to be "backable," to get the support we need for re-entering the workforce, changing life direction after quarantine, and navigating a very different social scene. Gupta, who comes from a family of highly backable people—including his mother, Damyanti Hingorani, the first woman engineer for Ford Motor Company, and his brother Sanjay Gupta, chief medical correspondent for CNN—will also share advice for how we can all find support, based on his own backing of such companies as Impossible Foods, Airbnb, 23&Me and SpaceX. He will further reveal secrets of success from producers of Oscar-winning films, members of Congress, military leaders, culinary stars, venture capitalists, founders of unicorn-status startups, and executives at iconic companies such as Lego, Method and Pixar. Gupta says he went from being afraid to speak inside a room to running for public office. He went from being rejected by every major investor he pitched to raising millions of dollars of funding from the same investors that backed Google, Uber, and Airbnb. Come hear the advice and amazing personal story of a man who struggled to find his voice and now, among his other achievements, also serves as the emissary for Gross National Happiness between the United States and the Kingdom of Bhutan. SPEAKERS Suneel Gupta J.D. M.B.A., Lecture on Innovation, Harvard University; Author, Backable: The Surprising Truth Behind What Makes People Take a Chance on You DJ Patil Ph.D., Former U.S. Chief Technology Officer; Member, Commonwealth Club Board of Governors In response to the COVID-19 pandemic, we are currently hosting all of our live programming via YouTube live stream. This program was recorded via video conference on April 6th, 2021 by the Commonwealth Club of California. Learn more about your ad choices. Visit megaphone.fm/adchoices

Entrepreneur Suneel Gupta argues that it's more important than ever to be "backable," to get the support we need for re-entering the workforce, changing life direction after quarantine, and navigating a very different social scene. Gupta, who comes from a family of highly backable people—including his mother, Damyanti Hingorani, the first woman engineer for Ford Motor Company, and his brother Sanjay Gupta, chief medical correspondent for CNN—will also share advice for how we can all find support, based on his own backing of such companies as Impossible Foods, Airbnb, 23&Me and SpaceX. He will further reveal secrets of success from producers of Oscar-winning films, members of Congress, military leaders, culinary stars, venture capitalists, founders of unicorn-status startups, and executives at iconic companies such as Lego, Method and Pixar. Gupta says he went from being afraid to speak inside a room to running for public office. He went from being rejected by every major investor he pitched to raising millions of dollars of funding from the same investors that backed Google, Uber, and Airbnb. Come hear the advice and amazing personal story of a man who struggled to find his voice and now, among his other achievements, also serves as the emissary for Gross National Happiness between the United States and the Kingdom of Bhutan. SPEAKERS Suneel Gupta J.D. M.B.A., Lecture on Innovation, Harvard University; Author, Backable: The Surprising Truth Behind What Makes People Take a Chance on You DJ Patil Ph.D., Former U.S. Chief Technology Officer; Member, Commonwealth Club Board of Governors In response to the COVID-19 pandemic, we are currently hosting all of our live programming via YouTube live stream. This program was recorded via video conference on April 6th, 2021 by the Commonwealth Club of California. Learn more about your ad choices. Visit megaphone.fm/adchoices

Award-winning NPR journalist and author Aarti Shahani and America's First Chief Data Scientist DJ Patil point out that the immigrant has become an object of distrust, scorn and even hatred. Yet they also say that for many immigrants, including both of them, this identity is a source of profound pride. They further say that immigrants are proud to have crossed borders and built homes (even in places that didn't want them). Join these prominent first-generation Americans as they celebrate and interrogate the migrant journey. Both have a strong sense of humor, and the evening will also include a few surprise cameos. NOTES Part of our Good Lit series, underwritten by the Bernard Osher Foundation Learn more about your ad choices. Visit megaphone.fm/adchoices

SPEAKERS Aarti Shahani Journalist, National Public Radio; Author, American Dreams, American Nightmares In Conversation with DJ Patil Ph.D., Former U.S. Chief Data Scientist; Senior Fellow, Harvard Kennedy School's Belfer Center for Science and International Affairs; Member, Commonwealth Club Board of Governors In response to the Coronavirus COVID-19 outbreak, this program took place and was recorded live via video conference, for an online audience only, and was live-streamed by The Commonwealth Club of California from San Francisco on October 8th, 2020.

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/

As state and local governments continue to provide assistance to millions of Americans during the COVID-19 pandemic, the transition to a purely digital interface has been difficult to navigate. In response, a few of the country's leading technology experts founded the U.S. Digital Response, a nonprofit that connects governments with experienced pro bono technologists to quickly solve problems during the COVID-19 crisis, and deliver important resources to the people who need them. Members of USDR include Jen Pahlka (formerly with Code for America), Raylene Yung (formerly with Stripe), and Raphael Lee (formerly with Lob and Airbnb) They all join INFORUM to discuss bottom-up solutions to help government leaders and solve critical issues, like how to deliver the biggest uptick in unemployment insurance we've seen in our time, or helping states develop tools to help their residents determine if they're eligible for stimulus funds. They will also lay out USDR's progress and goals, the role of technology in optimizing government services, and their takes on the impact of the COVID-19 pandemic. This conversation will be moderated by data scientist DJ Patil. NOTES:This program is generously supported by Postmates. We are grateful for their support and hope others will follow their example to support the Club during these uncertain times. Learn more about your ad choices. Visit megaphone.fm/adchoices

How can founders use their entrepreneurial skills for good?In this first episode of Founders Counsel, we explore this question by examining how five top founders have responded to Covid-19 by launching their entrepreneurial initiatives. Each guest was compelled to step away from their jobs and families to join the fight against this virus. Why did they do this? How did they draw on their backgrounds to create options for others that didn’t exist before? How can you make a difference like this in your own life? Where did they find the courage to “just show up” and help?In this illuminating episode, our guests share their inspiring stories and shine a light on what drives them – whether they are building companies or helping to save lives. All of our guests on this episode know each other well from the Silicon Valley eco-system and are friends, something which contributes to the unique vibe of this show.GuestsRobin Chan – General Partner at Goat Capital, Special Advisor at Bird, Angel Investor in Alibaba, Bird, Twitter, Square and Xiaomi, Advisor at Flipboard, Uber and Expa. Co-Founder and CEO of Operation Masks, a group of entrepreneurs in the US and China working to bring urgent PPE to the medical frontline of Covid-19 and inventing a new health care supply chain to get supplies to those in need.Jyri Engeström - Co-Founder and General Partner at Yes VC, an early-stage venture capital firm based in San Francisco who has founded and sold companies to Google and Groupon. Led an initiative in Bolinas, California to test all residents for Covid-19 antibodies and interrupt local transmission.Raj Kapoor – Chief Strategy Officer & Head of Self Driving Business at Lyft, prior VC at Mayfield and founder of several companies including Snapfish and Fitmob (now ClassPass). Shared publicly that he contracted the virus and launched World Without Covid, a nonprofit public health initiative based in a free registry that matches volunteers with opportunities to participate in clinical trials for vaccines, treatments, testing and blood plasma transfusion.Raina Kumra – CEO of Juggernaut, Partner at The Fund LA and co-founder of Mavin, Inc. Launched text hotline initiative to get domestically available masks and supplies to front line healthcare workers that is going national through a partnership with GetUsPPE, and working on similar supply delivery to seniors, homeless shelters, and foster care.DJ Patil – The nation’s first White House Chief Data Scientist and regarded as one of the top data scientists in the world, Head of Technology at Devoted Health, a Senior Fellow at the Belfer Center at the Harvard Kennedy School, and former senior executive at RelateIQ and LinkedIn. Working with the state of California and governors across the country to model the potential impact of COVID-19 for scenario planning.Episode Notes:World Without Covid: www.worldwithoutcovid.orgMental Health & Covid-19: www.crisistextline.orgProject N95: www.projectn95.org

DJ Patil talks about ethics in data science and the importance of data science communities working together to make sure data science is an accelerant of solutions for our children and our children’s children. In this episode you will learn: • How does it feel to be the person who created data science as we know it now? [3:17] • What data science is not [6:01] • Ethics and data science development in different countries [10:00] • What is the “biorevolution”? [16:02] • The importance of data sharing [20:10] • The current state of Chief Data Scientist of USA [24:07] • LinkedIn Q&A [26:03] • What to think about when you think about data science [44:08] Additional materials: www.superdatascience.com/355

As regulatory battles rage over data privacy and monopoly laws, we often think of Silicon Valley and Washington D.C. as separate worlds. Yet nothing could be farther from the truth. Historically, technologies like silicon chips and the Internet were rooted in huge government investment, leading to America's ascendance as a technological and military superpower. In this episode of Rebuilding Government, I’ll be chatting with DJ Patil—an expert on public-private cooperation on technology. He was former Chief Data Scientist of the U.S., where he pioneered national data initiatives across precision medical care, police transparency, and national security. DJ is currently the CTO of Devoted Health, a healthcare company serving seniors, and he previously built the first Data Science team at LinkedIn. Based on his wide-ranging experience, DJ has a real empathy for the challenges that these different sectors face in using technology for social good. We chat about his pathway to public service, what data ethics can learn from medicine, and advice for college students seeking a high-impact career. *Find us on Twitter @RebuildingGovt and your host @jasminewsun. * Relevant resources: * DJ Patil on Twitter, LinkedIn, and Medium @dpatil * Precision Medicine Initiative https://obamawhitehouse.archives.gov/precision-medicine * The 5 Cs of data science https://medium.com/@dpatil/ethics-data-science-ff21d0c29346 * Tuskegee syphilis experiment https://www.cdc.gov/tuskegee/timeline.htm * Henrietta Lacks https://en.wikipedia.org/wiki/Henrietta_Lacks * Nuremburg Code https://history.nih.gov/research/downloads/nuremberg.pdf * The Power by Naomi Alderman Rebuilding Government is a podcast in collaboration with UNIT Innovations (@unitinnovations) and Teske Media (@teskemedia).

For episode 9 of 26.1 AI Podcast, our guest Andrea Brice takes us back to early days of mobile telcom. She hacked together data science and algorithms reviewed by the C-suite at McCaw Cellular that became Cingular then AT&T Wireless. Making it all work on top of Oracle relational databases, Andrea shares how excited she was to find open source tools when she left telcom. Also our guest reminds of the engineering rigor present in telcom teams that we sorely need as AI and data science mature as practices. Though Andrea makes a strong case that data science was going on a long time before DJ Patil coined the term coined the term for the benefit of his HR colleagues and simplify the many job positions various flavors of analysts. Yet another guest of 26.1 with great insight and deserving of a series of episodes.

We are honored to have Anne Wojcicki (@annewoj23), co-founder and CEO of 23andMe, among our small group of luminary LPs whose financial capital and engagement power the next wave of Village Global founders.She joined us in Mountain View for an intimate fireside chat with the first Chief Data Scientist for the United States Office of Science and Technology Policy, DJ Patil (@dpatil).They discussed: - Why the US healthcare system is broken.- The state of direct-to-consumer healthcare.- Tailored medicine and the future of digital health.- 23andMe’s drug discovery efforts and how continuous data monitoring can change how drugs are developed.- The problem with clinical trials and how to fix them.- How Anne would change the US healthcare system if she could wave a magic wand.- The founding of 23andMe and the company’s philosophy.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global, is hosted by co-founder and partner, Erik Torenberg and is produced by Brett Bolkowy.

We are honored to have Anne Wojcicki (@annewoj23), co-founder and CEO of 23andMe, among our small group of luminary LPs whose financial capital and engagement power the next wave of Village Global founders.She joined us in Mountain View for an intimate fireside chat with the first Chief Data Scientist for the United States Office of Science and Technology Policy, DJ Patil (@dpatil).They discussed: - Why the US healthcare system is broken.- The state of direct-to-consumer healthcare.- Tailored medicine and the future of digital health.- 23andMe’s drug discovery efforts and how continuous data monitoring can change how drugs are developed.- The problem with clinical trials and how to fix them.- How Anne would change the US healthcare system if she could wave a magic wand.- The founding of 23andMe and the company’s philosophy.Thanks for listening — if you like what you hear, please review us on your favorite podcast platform. Check us out on the web at villageglobal.vc or get in touch with us on Twitter @villageglobal.Venture Stories is brought to you by Village Global, is hosted by co-founder and partner, Erik Torenberg and is produced by Brett Bolkowy.

Venrock’s DJ Patil speaks with Secretary Ash Carter, who served as the 25th Secretary of Defense in the Obama administration, about his experience in national security, technology and management. He shares how he successfully introduced new technologies to the Pentagon while earning the nickname “The Deliverer.” He discusses his new book, “Inside the 5-Sided Box: Lessons from a Lifetime of Leadership in the Pentagon,” and how he leveraged technology to make the world a safer place over his 35-year career.  

Suicide and mental health are hard subjects—so Crisis Text Line leveraged the power of the data it collects to help their counselors determine the best way to talk about the topics with those in need. The nonprofit, founded in 2013 by CEO Nancy Lublin, has provided a free text-based and human-driven service to support those experiencing mental health stress, gathering data points from more than 75 million text messages sent and maximizing the impact of their information to better train counselors and support their community. Its innovative and data-driven methodology for tackling hard conversations can also be applied to more than the mental health space, including to Lublin's latest venture: Loris.ai. Lublin's entire career has focused on initiatives addressing social issues, and she founded Dress for Success and Do Something prior to Crisis Text Line. With her technology lens on big challenges, she continues to iterate on innovative mechanisms and creative solutions to sticky problems. At INFORUM, she'll be joined in conversation by DJ Patil, head of technology at Devoted Health and former U.S. chief data scientist in the Obama administration, to dig into the power of data to effect change. Come curious! ** This Program Contains Explicit Language ** Learn more about your ad choices. Visit megaphone.fm/adchoices

Show Notes: Apache Open Source Software Foundation (4:00) Apache projects: Tika (26:30), Nutch (15:10), Hadoop (36:05) Chris’ resume and the ‘web of activities’ (7:15)“It’s all got to relate to one another”-Chris (7:15) Tim Ferriss’ scratch your own itch“JPL” (8:05) NASA Jet Propulsion LaboratoryUSC ’systems perspective’ (8:25) ‘Architect software’ (8:35) ‘Big software systems’ (8:53) Search engines (9:43) Similarities between web search and science data search (11:56) Google’s take(12:15) Big changes in data and compute in Earth Science missions: Orbiting Carbon Observatory (OCO, and OCO-2) vs Quick Scatterometer (QuickSCAT). ‘Drawing inspiration from the grid’ section of this articleopen source (17:58) Ellis Horowitz (19:44) Really Simple Syndication (RSS) (19:50) What is a developer? (21:10) Jérôme Charron (22:11)Information deluge (24:55) Hitchhiker’s Guide to the Galaxy babel fish (27:10) Apache Tika software (28:00 - 30:00) Number of file types on internet (28:09) Panama Papers (30:05) Python and Java (31:03) Data science (31:31) DJ Patil, Jeff Hammerbacher, Hillary MasonData science Venn diagramDo the ‘hard work’ and pay attention to weaknesses (38:45) Seth Godin thoughtsNenad Medvidovic (41:02) Lightning round (44:08): One Minute ManagerChris’ Five-Cut Fridays playlist (50:20)

Margaret McKenna, Software Engineer at Devoted Health, discusses joining a team based on their mission, building systems from scratch, and evolution on a new, rapidly growing team. Devoted Health DJ Patil on Giant Robots Margaret on Twitter See open positions at thoughtbot! Become a Sponsor of Giant Robots!

DJ Patil, Head of Technology at Devoted Health, discusses his time as the U.S. Chief Data Scientist, scaling healthcare to meet modern data demands, and the process of architecting a health care company. Devoted Health U.S. Government’s open data The Fifth Risk- Michael Lewis "Do Things That Don't Scale" DJ on Twitter See open positions at thoughtbot! Become a Sponsor of Giant Robots!

In this episode of DataFramed, a DataCamp podcast, Hugo speaks with Arnaub Chatterjee. Arnaub is a Senior Expert and Associate Partner in the Pharmaceutical and Medical Products group at McKinsey & Company. They’ll discuss cutting through the hype about artificial intelligence (AI) and machine learning (ML) in healthcare by looking at practical applications and how McKinsey & Company is helping the industry evolve.Tune in for an insider’s account into what has worked in healthcare, from ML models being used to predict nearly everything in clinical settings, to imaging analytics for disease diagnosis, to wound therapeutics. Will robots and AI replace disciplines such as radiology, ophthalmology, and dermatology? How have the moving parts of data science work evolved in healthcare? What does the future of data science, ML and AI in healthcare hold? Stick around to find out.LINKS FROM THE SHOWFROM THE INTERVIEWMcKinsey Analytics on TwitterHot off the press article for HBR’s Future of Healthcare online forum (By Arnaub Chatterjee)Our latest piece on the promise & challenge of AI (By James Manyika and Jacques Bughin)Are robots coming for our jobs? (mckinsey.com)Analytics Careers page (mckinsey.com)How we help clients in healthcare analytics (mckinsey.com)AI analysis of 400+ use cases, including ones in healthcare (By Michael Chui et al. mckinsey.com)FROM THE SEGMENTSMachines that Multi-task (with Manny Moss)Part 1 at ~21:05Responsible AI in Consumer EnterpriseHilary Mason, DJ Patil and Mike Loukides on Data EthicsEthicalOS TookitPart 2 at ~40:0021 Definitions of Fairness Tutorial from FAT* (Arvind Naranayan)Kate Crawford's keynote address "The Trouble with Bias" from NIPS 2017The (im)possibility of Fairness (Sorelle et al. arXiv.org)Learning from disparate data sources (Li Y et al. PubMed.gov)Distributed Multi-task Learning (Liyang Xie et al. KDD.org)The Cost of Fairness in Binary Classification (Aditya Krishna Menon et al. proceedings.mlr.press)Original music and sounds by The Sticks.

Suhas Patil is a Silicon Valley legend, and an immigrant. He is a multiple-time successful Founder, and created the largest networking organization in the Valley - The Indus Entrepreneurs. Like father, like son - DJ - Suhas' son, is one of the most influential figures in technology today. We learn a bit more about Suhas' legacy, and how he paved the way for the success for generations to come. We learn in this interview how hard it was for Suhas to make it as an immigrant. The perceptions that came with being an immigrant in the late 60s, and the nuances of his journey. It was not easy. DJ in turn gained an appreciation of what it took to replicate the success of his father. DJ went on to become the first ever Chief Data Scientist of the United States. But the path wasn't a straight line for DJ - what did his father teach him along the way, and what was it like to witness the creation of TiE? This podcast was originally piloted with NPR - we are releasing today on This is Your Life in Silicon Valley. It's a must-listen for anyone who is interested in immigration, technology, entrepreneurship, and the slow/arduous journey to success. We even get the opportunity to ask DJ some fun questions in the end.

We sit down with Former Chief Data Scientist DJ Patil to explore the world of data, his interests within healthcare, and the importance of people and context in data science --- Support this podcast: https://anchor.fm/hypergrowth/support

Bienvenue sur la French Touch, le podcast dédié au meilleur du Produit et Design français. Dans ce nouvel épisode, je vais à la rencontre de Martin Daniel, Data Science Manager chez Airbnb. C'est une longue et passionnante interview que je vous propose de découvrir en 2 parties. Dans cette 1ère partie, nous allons parler de l'importance de la Data chez Airbnb et du rôle de modèle qu'a l'entreprise dans la Silicon Valley, on parlera également d'open source et de toutes les initiatives liées à l'éducation autour de la data. Se repérer dans l'épisode : 2:00 - Pourquoi travailler chez Airbnb ? 5:00 - Airbnb et la data : une longue histoire 10:00 - L'organisation DS 14:00 - La différence entre Facebook et Airbnb sur la data 16:30 - La différence entre Data Scientist, Data Engineer et Data Infrastructure 20:00 - L'open Source et l'individuation 25:00 - La data university 27:00 - Les différents niveaux de complexité dans la DS 28:00 - La difficulté de recruter dans le secteur 29:00 - Les conseils de Martin pour quelqu'un qui démarre  32:00 - Maxime Beauchemin 33:00 - La frustration du métier 36:00 - Sustainability at Airbnb 39:00 - Le knowledge repo 41:00 - Comment Martin se forme 42:00 - Qu'est-ce que le causal inference ? 44:00 - ERF : la plateforme d'experimentation d'Airbnb 45:00 - Comment il est devenu DS 46:00 - Sa rencontre avec DJ Patil à la Maison Blanche Merci ! N'oubliez pas d'ajouter 5 étoiles sur iTunes ★★★★★ Découvrez la suite de l'interview dans l'épisode 07 ! Suivez-nous sur @lafrenchtouchFM et sur le site www.lafrenchtouch.fm. --- Send in a voice message: https://anchor.fm/la-french-touch-fm/message

In this two-part episode, we talk with President Obama’s former chief data scientist DJ Patil. Tune in and learn about how we create a society where data works for the greater good of humanity and why it is crucial to have more data scientist in both government institutions and private companies.

Do we need to develop a Hippocratic Oath for coders and do we have the right international institutions for the digital age? Tune in for the second part of this two-part episode with President Obama’s former chief data scientist DJ Patil.

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.

Hilary Mason is a huge name in the data science space, and she has an extensive understanding of what's happening in this space. Today, she answers these questions for us: What are the backgrounds of your typical data scientists? What are key differences between software engineering and data science that most companies get wrong? How should you measure the effectiveness of your work or your team's work as a data scientist for the best results? What is a good approach for creating a successful data product? How can we peak behind the curtain of black-box deep learning algorithms? Below is a partial transcript. For the full interview, listen to the podcast episode by selecting the Play button above or by selecting this link, or you can also listen to the podcast through Apple Podcasts, Google Play, Stitcher, and Overcast. Curtis: Today we hear from one of the biggest thinkers in the data science space, someone who DJ Patil endorses on LinkedIn for data science skills. She worked at bit.ly, the url shortener, and is a data scientist in residence at venture capital firm Accel Partners, a firm that helped fund some companies you may know, like Facebook, Slack, Etsy, Venmo, Vox Media, Lynda.com, Cloudera, Trifacta—and you get the picture. Ginette: The partner of this VC firm said that Accel wouldn’t have brought on just any data scientist. This position was specifically created because this particular data scientist might be able to join their team. Curtis: But beyond her position as data in residence with Accel, she founded a company that’s doing very interesting research, and today, she shares with us some of her experiences and perspective on where AI is headed. Ginette: I’m Ginette. Curtis: And I’m Curtis. Ginette: And you are listening to Data Crunch. Curtis: A podcast about how data and prediction shape our world. Ginette: A Vault Analytics production. Hilary: I'm Hilary Mason, and I'm the founder and CEO of Fast Forward Labs (Please note that Hilary is now the VP of Research at Cloudera). In addition to that, I'm a data science in residence for Accel Partners. And I've been working in what we now call data science, or even now call AI, for about twenty years at this point. Started my career in academic machine learning and decided startups were more fun and have been doing that for about 10,   12 years depending on how you count now, and it's a lot of fun! Ginette: Something I’d like to note here is there’s been a very recent change: Hilary’s company, Fast Forward Labs, and Cloudera recently joined forces, and Hilary’s new position is Vice President of Research at Cloudera. Now, one thing that Hilary talks to is where the data scientists she works with come from, which is a great example of the different paths people take to get into this field. Hilary I am a computer scientist, and I have studied computer science. It's funny because now at Fast Forward, our team only has only two computer scientists on it, and one of them is our general counsel, and one is me, and I'm running the business, so most of the people doing data science here come from very different backgrounds. We have a bunch of physicists, mathematicians, a   neuroscientist, a person who does brilliant machine learning design who was an English major, and so data science is one of those fields where one of the things I really love about it is that people come to it from so many different backgrounds, but mine happens to be computer science. The people on our team at Fast Forward   typically have a PhD in a quantitative field, such as physics, neuroscience, electrical engineering, and then have, through that, learned sufficient programming skill. One of the jokes I make about my team is that we're essentially a halfway house for wayward academics in the sense that we can absorb people and teach them to be good software engineers, help them understand the difference between theoretical machine learning an...

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

We have the pleasure of bringing you a very special crossover episode this week: our friends at Partially Derivative (another great podcast about data science, you should check it out) recently interviewed White House Chief Data Scientist DJ Patil. We think DJ's message about the importance and impact of data science is worth spreading, so it's our pleasure to bring it to you today. A huge thanks to Jonathon Morgan and Partially Derivative for sharing this interview with us--enjoy! Relevant links: http://partiallyderivative.com/podcast/2016/12/13/dj-patil

GitHub for data nerds

David Hornik has a reputation in venture as one of the nicest and sharpest investors out there. He received Deloitte’s 2013 Venture Capitalist of the Year award and has been honored by Forbes Magazine as a member of its Midas List of top Venture Capitalists. This conversation was fun and David gave a lot of interesting insight. Some of our favorite moments included: (1) what he thinks of the current state of venture (11:05), (2) his adamant belief that we are not in a bubble, though things are overheated and overfunded (17:05), (3) the importance of making others successful and being generous (24:01), and (4) focusing on a happy life, not a successful career (30:10). David colored a lot of these insights via personal anecdotes of times with Jerry Yang, DJ Patil, Dick Costolo, Paul Graham, Reid Hoffman, Travis Kalanick and others.

DJ Patil, America's first Chief Data Scientist, talks about his nearly two years in the White House’s Office of Science and Technology Policy, working on initiatives around health care and policing. Patil grew up in Silicon Valley, and has worked at Skype, LinkedIn and eBay; he says that techies in the private sector should consider a "tour of duty" in the government to be one of their civic duties. He says opening up the vast amounts of data collected by government agencies can make everyone better-off — as long as personal data like health records can be properly secured. Learn more about your ad choices. Visit megaphone.fm/adchoices

Many of us associate innovative solutions and scalable technology with startups, Silicon Valley, and scrappy teams; but these experts are focusing their time and talents in Washington DC in order to harness technology's ability to solve healthcare's biggest problems. Hear from The White House Chief Data Scientist DJ Patil, HHS CTO Susannah Fox and Fortune Magazine Senior Writer Leena Rao.

This week Chris and Jonathon talk about DJ Patil joining the cast of the West Wing, big data on cows, not being sketchy with user data, and more!

We were extremely lucky to catchup with Lillian Grace, CEO of WikiNewZealand [now called Figure.NZ], just before their re-launch of the site (http://figure.nz/) and the release of a brand new back-end feeding up public API access to all the data they utilise.Raj and I had a chat before the interview as to what "big data" means especially in light of DJ Patil being named the US Government's first "Chief Data Scientist"------------------------------------------------------We share the stories from people that work in New Zealand tech, social media, startups. If you have a story or know someone that does - get in touch!Mike Riversdale (@MiramarMike) background is explaining stuff, connecting people and getting things done. Raj Khushal (@nzRaj) background is in video, design, media and making things happen.All our past shows are on our websitehttps://www.accessgranted.nzFollow and Like us on:https://twitter.com/AccessGrantedNZhttps://facebook.com/AccessGrantedNZhttps://linkedin.com/company/access-granted-podcastSubscribe to the show however you want:https://www.accessgranted.nz/subscribe/

  This week, former The Drill Down co-host (and current co-host of TARDISBlend) Tom Cheredar joins Dwayne and Andy to discuss how hackers pulled off one of the largest heists in history, a toy from the 50s is updated for the 21st century, the FAA grounds Amazon's drone plans, and...is Apple building a self-driving car? Headlines View-Master rides Google Cardboard into virtual reality The White House Names Dr. DJ Patil as the First U.S. Chief Data Scientist Apple Pay Coming To US Federal Institutions Starting In September WSJ: Tim Cook approved Apple electric car project a year ago, hundreds of employees working on it Audible Book of the Week Alan Turing: The Enigma by Andrew Hodges Sign up at AudibleTrial.com/TheDrillDown Music Break: Take the Money and Run by The Steve Miller Band Hot Topic: Cybersecurity Hackers rob US and global banks of millions in one of the largest heists ever Obama Signs Executive Order on Cybersecurity Information-Sharing Facebook, Google Will Be Noticeably Absent At Obama's Stanford Cybersecurity Speech Amid Ongoing Privacy Battle Russian researchers expose breakthrough U.S. spying program Music Break: Duel of the Fates from Star Wars: The Phantom Menace by John Williams Final Word The FAA just took a huge step towards legalizing commercial drone flights Jonathan Ive and the Future of Apple (Star Wars Lightsaber design) The Drill Down Video of the Week President Obama speaks at the Cyber Security and Consumer Protection Summit Subscribe! The Drill Down on iTunes (Subscribe now!) Add us on Stitcher! The Drill Down on Facebook The Drill Down on Twitter Geeks Of Doom's The Drill Down is a roundtable-style audio podcast where we discuss the most important issues of the week, in tech and on the web and how they affect us all. Hosts are Geeks of Doom contributor Andrew Sorcini (Mr. BabyMan), marketing research analyst Dwayne De Freitas, and Box tech consultant Tosin Onafowokan. Occasionally joining them is Startup Digest CTO Christopher Burnor.