Summary

Artificial intelligence technologies promise to revolutionize business and produce new sources of value. In order to make those promises a reality there is a substantial amount of strategy and investment required. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. It is an open-source, cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability. Your team can get up and running in minutes thanks to Dagster Cloud, an enterprise-class hosted solution that offers serverless and hybrid deployments, enhanced security, and on-demand ephemeral test deployments. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free! Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics. Trusted by teams of all sizes, including Comcast and Doordash, Starburst is a data lake analytics platform that delivers the adaptability and flexibility a lakehouse ecosystem promises. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data. Want to see Starburst in action? Go to dataengineeringpodcast.com/starburst and get $500 in credits to try Starburst Galaxy today, the easiest and fastest way to get started using Trino. Join us at the top event for the global data community, Data Council Austin. From March 26-28th 2024, we'll play host to hundreds of attendees, 100 top speakers and dozens of startups that are advancing data science, engineering and AI. Data Council attendees are amazing founders, data scientists, lead engineers, CTOs, heads of data, investors and community organizers who are all working together to build the future of data and sharing their insights and learnings through deeply technical talks. As a listener to the Data Engineering Podcast you can get a special discount off regular priced and late bird tickets by using the promo code dataengpod20. Don't miss out on our only event this year! Visit dataengineeringpodcast.com/data-council and use code dataengpod20 to register today! Your host is Tobias Macey and today I'm interviewing Colleen Tartow about the questions to answer before and during the development of an AI program

Interview

Introduction How did you get involved in the area of data management? When you say "AI Program", what are the organizational, technical, and strategic elements that it encompasses?

How does the idea of an "AI Program" differ from an "AI Product"? What are some of the signals to watch for that indicate an objective for which AI is not a reasonable solution?

Who needs to be involved in the process of defining and developing that program?

What are the skills and systems that need to be in place to effectively execute on an AI program?

"AI" has grown to be an even more overloaded term than it already was. What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"? Organizations can easily fall into the trap of green-lighting an AI project before they have done the work of ensuring they have the necessary data and the ability to process it. What are the steps to take to build confidence in the availability of the data?

Even if you are sure that you can get the data, what are t

ABOUT THE TALK: Mbue uses advanced computer vision and NLP technologies to read and understand architectural and technical drawings, catch flaws and other mistakes that cause delays and costly fixes, and ultimately automate the quality control process. Learn how they approach this complex problem, what they are doing to solve it, and where we're going next.

ABOUT THE SPEAKERS: Jean-Pierre Trou is the CEO and co-founder of mbue, a SaaS AI-First company focused on saving time, money and reducing liability for Architecture, Engineering and Construction (AEC) companies with automated quality control tools. mbue's web-based application utilizes Artificial Intelligence to instantly review technical drawings. Think “autocorrect” for construction documents. Jean Pierre is also the Founding Principal of Runa Workshop, Architecture and Interior design firm, and Founding Partner at Vaast, a real estate company, all based in Austin, Texas.

Ron Green is a serial tech entrepreneur and expert in artificial intelligence. Ron is co-founder and CTO of mbue and also co-founded KUNGFU.AI, an AI consultancy that helps companies build and deploy AI and machine learning solutions. Prior to KUNGFU.AI, Ron was CEO and founder of Thrive Technologies (acquired by CLOUD), ran software development at Ziften Technologies, Powered (acquired by Dachis Group), and Visible Genetics (acquired by Bayer).

ABOUT DATA COUNCIL: Data Council (https://www.datacouncil.ai/) is a community and conference series that provides data professionals with the learning and networking opportunities they need to grow their careers.

Make sure to subscribe to our channel for the most up-to-date talks from technical professionals on data related topics including data infrastructure, data engineering, ML systems, analytics and AI from top startups and tech companies.

FOLLOW DATA COUNCIL: Twitter: https://twitter.com/DataCouncilAI LinkedIn: https://www.linkedin.com/company/datacouncil-ai/

2019-06-20 // A2IM Indie Week, Day 3: Reeperbahn Festival HighlightsHamburg’s Reeperbahn Festival is presenting seven different acts on Day 3 of A2IM’s Indie Week, and we will check out how they’re doing in the data world.Mission    Good morning, it’s Rutger here at Chartmetric with your 3-minute Data Dump where we upload charts, artists, and playlists into your brain so you can stay up on the latest in the music data world.DateThis is your Data Dump for Thursday, June 20, 2019.A2IM Indie Week, Day 3At the corner of Allen and Houston on the Lower East Side of Manhattan, NYC, last night, six bands shared their live music as an official part of A2IM’s Indie Week: the Reeperbahn Festival, New York Edition.Based around the entertainment and red-light district in Hamburg, Germany, since 2006, the Reeperbahn Festival will be putting on more than 900 events in the area this September with international artists of all genres, in addition to a conference for music and related industry professionals.  In the 07:30-08:00pm slot was Winnipeg, Canada’s Yes We Mystic, with their melodic and experimental indie rock sound.With 7K Spotify monthly listeners and their top four listener cities being Toronto, Winnipeg, Vancouver and Montreal, they have obviously created a stir in their home country very effectively.Half of their 2.2K Instagram followers are from their hometown of Winnipeg, so Reeperbahn has done a lovely job of finding a truly homegrown act and bringing them to a bigger stage.Jerusalem-born singer-songwriter-producer ORI graced the stage in the 8:05-8:35pm slot. Using original looping samples of his own voice and instrumentation, he’s got over 10K monthly listeners and his 2017 single “Black Book” is currently on the The Austin 100 playlist from NPR Music and the official SXSW 2019 playlist, where he played two official sets this past March.His current Spotify Popularity Index may only be at 28 for now, but his work has also been sampled by Kendrick Lamar and Jay Rock.Closing out the night in the 11:20-midnight slot was Surfbort, most likely because they are a hard act to follow with their hottest tracks titled “Hippoe Vomit Inhaler”, “Pretty little fucker” and “Dicks”.The Brooklyn-based punk outfit is named after a Beyoncé lyric and is just under 20K monthly listeners and is featured on Green Day’s “Oakland Coffee” playlist as well as the official SXSW 2019 playlist, as they also played a set in Austin last spring.In other slots were Germany’s Leoniden and Gurr, Austria’s Mira Lu Kovacs, and America’s Renata Zeiguer (US), but check them out...if Hamburg’s Reeperbahn NY Edition picked them, they’re sure to be worth the listen and maybe your latest favorite sound.OutroThat’s it for your Daily Data Dump for Thursday, June 20, 2019. This is Rutger from Chartmetric.Free accounts are at chartmetric.comAnd article links and show notes are at: podcast.chartmetric.com.Happy Thursday, and we’ll see you tomorrow!

In this podcast, Don Kettl, Professor, LBJ School, the University of Texas at Austin, talks about the future of the public sector in the mid of data and analytics capability disruptions. Don talked about some of the biggest opportunities in the public policy space. He sheds light on how the future public policy officers would design the organizations that grow with time. He sheds light on the future of jobs in the public sector and how data could disrupt the space to increase its impact. This session is great for people interested in learning about public sector data and jobs impact through big data evolution.

TIMELINE: 0:28 Don's journey. 5:16 Premise of "Little bites of big data policy". 7:16 Data in the government sector. 11:18 Example of good data framework in state governments. 13:49 The need for good cooperation between the private and public sectors. 17:56 Opportunities for data in the public sector. 21:37 The failure of data in the public sector. 27:54 Perspective on open data. 33:58 Future of data in the public sector. 41:42 The role of government in data businesses. 48:58 Can government data policies go global? 55:56 Don's success mantra. 59:43 Don's reading list. 1:01:30 How does Don avoid bias? 1:07:00 Key takeaways.

Don's Book: Little Bites of Big Data for Public Policy by Donald F Kettl amzn.to/2zfpKDn Politics of the Administrative Process by Donald F Kettl amzn.to/2KS34KY and more at: amzn.to/2u12gg8

Podcast Link: https://futureofdata.org/future-of-public-sector-and-jobs-in-bigdata-world-futureofdata-podcast/

Don's BIO: Donald F. Kettl is a professor at the Lyndon B. Johnson School of Public Affairs at the University of Texas at Austin. He is also a nonresident senior fellow at the Volcker Alliance and the Brookings Institution.

Kettl is the author or editor of numerous books, including Can Governments Earn Our Trust? (2017); Little Bites of Big Data for Public Policy (2017); The Politics of the Administrative Process (7th edition, 2017). Three of his books have received national best-book awards. The Transformation of Governance (2002); and System under Stress: Homeland Security and American Politics (2005) and Escaping Jurassic Government: How to Recover America’s Lost Commitment to Competence.

He has received three-lifetime achievement awards: the American Political Science Association’s John Gaus Award, the Warner W. Stockberger Achievement Award of the International Public Management Association, and the Donald C. Stone Award of the American Society for Public Administration, for significant contributions to the field of intergovernmental relations.

Kettl holds a Ph.D. in political science from Yale University. Before his appointment at the University of Maryland, he taught at the University of Pennsylvania, Columbia University, the University of Virginia, Vanderbilt University, and the University of Wisconsin-Madison. He is a fellow of Phi Beta Kappa and the National Academy of Public Administration.

He has appeared frequently in national and international media, including National Public Radio, the Fox News Channel, Good Morning America, ABC World News Tonight, NBC Nightly News, CBS Evening News, CNN’s “Anderson Cooper 360” and “The Situation Room,” the Huffington Post, as well as public television’s News Hour and the BBC.

Kettl is a shareholder of the Green Bay Packers, along with his wife, Sue.

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