Data is your business. Have you unlocked its full potential? If you read nothing else on data strategy, read this book. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you maximize your analytics capabilities; harness the power of data, algorithms, and AI; and gain competitive advantage in our hyperconnected world. This book will inspire you to: Reap the rewards of digital transformation Make better data-driven decisions Design breakout products that generate profitable insights Address vulnerabilities to cyberattacks and data breaches Reskill your workforce and build a culture of continuous learning Win with personalized customer experiences at scale This collection of articles includes "What's Your Data Strategy?," by Leandro DalleMule and Thomas H. Davenport; "Democratizing Transformation," by Marco Iansiti and Satya Nadella; "Why Companies Should Consolidate Tech Roles in the C-Suite," by Thomas H. Davenport, John Spens, and Saurabh Gupta; "Developing a Digital Mindset," by Tsedal Neeley and Paul Leonardi; "What Does It Actually Take to Build a Data-Driven Culture?," by Mai B. AlOwaish and Thomas C. Redman; "When Data Creates Competitive Advantage," by Andrei Hagiu and Julian Wright; "Building an Insights Engine," by Frank van den Driest, Stan Sthanunathan, and Keith Weed; "Personalization Done Right," by Mark Abraham and David C. Edelman; "Ensure High-Quality Data Powers Your AI," by Thomas C. Redman; "The Ethics of Managing People's Data," by Michael Segalla and Dominique Rouzies; "Where Data-Driven Decision-Making Can Go Wrong," by Michael Luca and Amy C. Edmondson; "Sizing Up Your Cyberrisks," by Thomas J. Parenty and Jack J. Domet; "A Better Way to Put Your Data to Work," Veeral Desai, Tim Fountaine, and Kayvaun Rowshankish; and "Heavy Machinery Meets AI," by Vijay Govindarajan and Venkat Venkatraman. HBR's 10 Must Reads are definitive collections of classic ideas, practical advice, and essential thinking from the pages of Harvard Business Review. Exploring topics like disruptive innovation, emotional intelligence, and new technology in our ever-evolving world, these books empower any leader to make bold decisions and inspire others.

We finally did it: devoted an entire episode to AI. And, of course, by devoting an episode entirely to AI, we mean we just had GPT-4o generate a script for the entire show, and we just each read our parts. It's pretty impressive how the result still sounds so natural and human and spontaneous. It picked up on Tim's tendency to get hot and bothered, on Moe's proclivity for dancing right up to the edge of oversharing specific work scenarios, on Michael's knack for bringing in personality tests, on Val's patience in getting the whole discussion to get back on track, and on Julie being a real (or artificial, as the case may be?) Gem. Even though it includes the word "proclivity," this show overview was entirely generated without the assistance of AI. And yet, it's got a whopper of a hallucination: the episode wasn't scripted at all! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

This dbt Meetup is an opportunity for the local Munich dbt and Snowflake Community to connect and collaborate. If you work with data, this event is for you. We welcome data analysts, scientists, engineers, architects, and more!

➡️ Join the dbt Slack community: https://community.getdbt.com/ Join the conversation in the #local-munich channel in dbt Slack to connect with other data practitioners locally and make sure to join the #local-dach channel aswell.

🤝 Organizer: btelligent 🏠 Venue: Synabi Offices, Oskar-Schlemmer-Straße 13, 80807 München

✨ Agenda & Speakers ✨ 17.30: Registration **** Registration will close at 17.50**** 18.00: Welcome b.telligent \| dbt \| Snowflake 18.15: Common pitfalls when building a data warehouse [dbt] Tim Hiebenthal - Project A Ventures Over the years, we have collected a list of best practices to avoid common pitfalls like inconsistent metrics and slow response times. Discover how to build a robust and adaptable data warehouse that fosters trust and alignment between data teams and stakeholders 18:45: Using the Snowflake Cortex Search Service to Interact with Your Documents [Snowflake] Maja Ferle Snowflake Data Superhero - In516ht This session, will demonstrate how to quick and easy it is to build a RAG (retrieval augmented generation) solution that enables us to chat with pdf documents in natural language. Maja will use Snowflake Cortex LLM (large language model) functions and the Cortex Search service to upload and process pdf documents and demonstrate how to ask questions to get specific information from the documents. 19.15-20.30: Networking With Food & Drinks

dbt is the standard in data transformation, used by over 40,000 organizations worldwide. With practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently and build trustworthy data for the whole organization. Learn more: https://www.getdbt.com/

Snowflake is a leading cloud-based data platform, trusted by thousands of organizations. Snowflake enables teams to manage and analyze their data with unprecedented flexibility and efficiency. Its architecture allows for the separation of storage and compute, providing cost-effective solutions tailored to diverse business needs. Snowflake empowers organizations to derive insights from their data in real-time, enhancing decision-making across the enterprise. Learn more: https://www.snowflake.com/

Note: To attend, please read the Health and Safety Policy and Terms of Participation: Health & Safety

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. Data Topics Unpluggedis your go-to spot for relaxed discussions on tech, news, data, and society. This week, we’re joined by returning guest Tim Leers, who helps us navigate the ever-evolving landscape of AI regulation, open-source controversies, and the battle for the future of large language models. Expect deep dives, hot takes, and a sprinkle of existential dread as we discuss: The EU AI Act and its ripple effects – What does it actually change? And is Meta pulling back on AI development because of it?Meta’s “Frontier AI” framework – A strategic move or just regulatory camouflage?OpenAI vs. the world – From copyright drama to OpenAI accusing competitors of using its models, is this just karma in action?DeepSeek and global AI competition – Why are government agencies banning it, and is it really a game-changer?The EU’s AI investment plans – Can Europe ever catch up, or is 1.5 billion euros just a drop in the compute ocean?OpenAI’s sudden love for open source – Sam Altman says they were on the "wrong side of history." Are they really changing, or is this just another strategic pivot?OpenAI’s latest tech update – we discuss Tim’s experience with o3 and show it liveAll that, plus some existential musings on AI’s role in society, competitive dynamics between the US, EU, and China, and whether we’re all just picking our preferred bias in a world of competing LLMs. Got thoughts? Drop us a comment or question—we might even read it on the next episode!

Every so often, one of the co-hosts of this podcast co-authors a book. And by "every so often" we mean "it's happened once so far." Tim, along with (multi-)past guest Dr. Joe Sutherland, just published Analytics the Right Way: A Business Leader's Guide to Putting Data to Productive Use, and we got to sit them down for a chat about it! From misconceptions about data to the potential outcomes framework to economists as the butt of a joke about the absolute objectivity of data (spoiler: data is not objective), we covered a lot of ground. Even accounting for our (understandable) bias on the matter, we thought the book was a great read, and we think this discussion about some of the highlights will have you agreeing! Order now before it sells out! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

What are dbt meetups? dbt Meetups are networking events open to all folks working with data! Talks predominantly focus on community members' experience with dbt, however, you'll catch presentations on broader topics such as analytics engineering, data stacks, data ops, modeling, testing, and team structures.

➡️ Join the dbt Slack community: https://www.getdbt.com/community/ and make sure to add the #local-berlin channel in dbt Slack to be part of the conversation. 🤝 Organizers: Eva Schreyer (NEUGELB Studios), Victoria Perez Mola (dbt Labs) 🏢 Venue: NEUGELB Studios in Kreuzberg

To attend, please read the Health and Safety Policy and Terms of Participation: https://www.getdbt.com/legal/health-and-safety-policy

📝Agenda

• 6:00 PM \| Check in/Registration
• 6:30 PM \| Welcome Remarks & Housekeeping by NEUGELB
• 6:45 PM \| What's new with dbt? What have you missed at coalesce? 🎤(Lucas Silbernagel, dbt Labs)
• 7:00 PM \| 1. Talk: Making the most out of dbt tests 🎤 (Tim Hiebenthal)
• 7:30 PM \| 2. Talk: If your code get an attitude\, test it like it's hot! From data to unit testing in one build. 🎤(Victoria Perez Mola, dbt Labs)
• 8:00 PM \| 3. Talk: "Should we build this in Looker or dbt?" 🎤(Sarah Levy, Euno)
• 8:30 \| Networking & Reception

---------------------------------- dbt is the standard in data transformation, used by over 40,000 organizations worldwide. Through the application of software engineering best practices like modularity, version control, testing, and documentation, dbt’s analytics engineering workflow helps teams work more efficiently to produce data the entire organization can trust. Learn more: https://www.getdbt.com/

Tuesday 19th November is our 19th OpenUK London community meetup. We spend a lot of time focusing on Open Source Software, but that's just one of OpenUK's three pillars. Back in September, we covered Open Data. In this, our last London meetup of 2024, we are finally talking Open Hardware!

6:30 pm: Arrive on time, grab a bev, a slice and a chat. Scope out our swag table (bring pieces to contribute or trade!) 6:45 pm: Jenny Molloy, presentation on open DNA toolkits, followed by QnA 7:15 pm: Rob Taylor, presentation on Open Source IC design for Automotive: Real World Experience, followed by QnA 7:45 pm: Gerrit Niezen, presentation on open source scientific equipment, followed by QnA 8:15 pm: Tim Telford, presentation on Open source hardware design for commercial Test and Measurement applications, followed by QnA 8:45 pm: Clean up and leave. Bring tupperware so we don't waste pizza!

Join as this is our last meetup for 2024 so don't miss out! See you next year!

Please remember to bring your I.D. if you are attending in person, as it is required to access the venue. Note the venue does not permit e-scooters or bicycles within the building.

Thank you to our sponsors Avanade for providing this great space and yummy pizza! By attending this or any OpenUK event, you are adhering to our Code of Respect and OpenUK's Competition Policy. Please read ahead.

If you would like to hear more about OpenUK's other events, you can join our Newsletter. After attending, look out for an email with an invite to our burgeoning Slack community as a way to keep in touch and support each other between activities.

Spotify has absurd quantities of data. This is a huge asset, but it makes it difficult to power their frontline partnership team in Salesforce with the relevant cuts of that data they need. After struggling with both ad-hoc solutions and Salesforce consultant-led solutions, they've landed on a flexible, secure, and automated data strategy: they use dbt and Hightouch to refine critical data in Google BigQuery, sync updated records to Salesforce, and then close the loop for intelligence and analytics.

They'll share their optimal solution, with no caveats, for the real, everyday data issues that many teams encounter at scale with Salesforce.

Speaker: Tim Leonard Sr Insights Manager Spotify

Read the blog to learn about the latest dbt Cloud features announced at Coalesce, designed to help organizations embrace analytics best practices at scale https://www.getdbt.com/blog/coalesce-2024-product-announcements

This week our guest speaker Ben Boys will be presenting Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding by Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, Mohammad Norouzi.

For the purpose of a more in depth discussion on the day, please read the paper ahead of time. We look forward to seeing you all there!

We discuss a different research paper every week. We post each week's paper in our GitHub repo - please read it before the meetup.

All events will be hosted on a Google Meets video call. Once a month we also host an in-person event in our London office - watch this space for updates.

All recorded presentations can be found in our YouTube channel (don't forget to subscribe!).

Welcome to dbt Oslo's fourth Meetup!

The agenda is in progress. But there will be discussions on the dbt roadmap and news from Coalesce in addition to showcases of dbt user experiences.

This dbt Meetup is an opportunity for the local Oslo dbt Community to connect and collaborate. If you work with data, this event is for you. We welcome data analysts, scientists, engineers, architects, and more!

➡️ Join the dbt Slack community: https://community.getdbt.com/ 🇳🇴Join the conversation in the #local-norway channel in dbt Slack to connect with other data practitioners locally.

dbt™ is a SQL-first transformation workflow that lets teams quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation.

dbt has rapidly taken the market for data transformation and is widely used in modern data stacks.

The goal of these meetups are to grow the community around dbt and share knowledge on how it is being used and the surrounding architectures.

Glitni is sponsoring this in person event as a dbt partner and Rebel is providing the meetup venue.

Agenda: 17:00: Meet and greet + pizza and bar Meet and greet, attendance and assortment of pizzas will be served from 17:00. There will also be a bar available for buying drinks. 17:30: Welcome 1735: Features, updates and news from Coalesce (Ernesto Ongaro, dbt Labs) 18:00: Break- bar and pizza available 18:20: Parallel sessions - Build trust with the power of dbt testing (Tim Laser\, Data Engineer @ Favrit AS) - How to get going with dbt in practice (introductory/intermediate) (Runar Alvseike\, Data Engineer @ Glitni) 18:50: Outtro + Survey 19:00: Post-meetup drinks outside the venue

To attend, please read the Required Participation Language for In-Person Events with dbt Labs: https://bit.ly/3QIJXFb

As we put the awfulness of 2020 in the rearview mirror, we thought it might be fun to look back to another bleak period: the 2007-2008 financial crisis! Why? Because Tim hasn't stopped talking about Subprime Attention Crisis — the Tim Hwang book that draws a parallel between the digital advertising ecosystem and the subprime lending crisis from a decade ago — we decided to all give it a read and then sit down for a discussion with the author. From the opacity brought on by the many moving parts to misaligned incentives to the fact that, well, even more than just the internet is built on digital advertising dollars, it was a fascinating discussion! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

This podcast spends time discussing Tim O'Reilly's futuristic perspective on data, analytics, AI, jobs, and organization. He sheds light on what are somethings businesses could do to stay relevant and future proof. He discussed his book and shared some of the key insights relevant to anyone thinking of staying relevant in the World led by technology and impacting the future. A must video for anyone working!

Timeline: 00:28 Tim's journey. 06:03 Tim's current occupation. 10:50 Interesting work for interesting people. 15:08 Thinking behind the title "What's the future". 23:41 Culture and technology evolution. 26:29 Creating value for the shareholder. 35:06 Learning a new skill. 38:12 Labor and technology. 47:07 Investing in humans or technology? 56:02 The role of AI in Media. 59:45 How can an employee stay relevant? 1:04:28 Tim's favorite books. 1:09:38 Key takeaways.

Tim's Book: WTF?: What's the Future and Why It's Up to Us by Tim O'Reilly https://amzn.to/2N5WhOn

Tim's Recommended Read: AI Superpowers: China, Silicon Valley, and the New World Order by Kai-Fu Lee https://amzn.to/2N8VGLL Prediction Machines: The Simple Economics of Artificial Intelligence by Ajay Agrawal and Joshua Gans https://amzn.to/2ugQBKr The Long Twentieth Century: Money, Power and the Origins of Our Times by Giovanni Arrighi https://amzn.to/2ufhb6R Doughnut Economics: Seven Ways to Think Like a 21st-Century Economist by Kate Raworth https://amzn.to/2LcbLQc Winners Take All: The Elite Charade of Changing the World by Anand Giridharadas https://amzn.to/2utgeXF New Power: How Power Works in Our Hyperconnected World--and How to Make It Work for You by Jeremy Heimans and Henry Timms https://amzn.to/2NbBJ77 Seeing like a State: How Certain Schemes to Improve the Human Condition Have Failed by James C. Scott https://amzn.to/2ztnoRz The Struggle for Survival: An Historical, political, and Socioeconomic Perspective of St. Lucia by Anderson Reynolds https://amzn.to/2uqF22w

Podcast Link: https://futureofdata.org/discussing-jobs-data-and-whatsthefuture-with-timoreilly-futureofdata-podcast/

Tim's BIO: Tim O’Reilly is the founder and CEO of O’Reilly Media, Inc. His original business plan was “interesting work for interesting people,” which worked out pretty well. O’Reilly Media delivers online learning, publishes books, runs conferences, urges companies to create more value than they capture, and tries to change the world by spreading and amplifying the knowledge of innovators.

Tim has a history of convening conversations that reshape the computer industry. In 1993, he launched the first commercial, ad-supported site on the internet. In 1998, he organized the meeting where the term “open source software” was agreed on and helped the business world understand its importance. In 2004, with the Web 2.0 Summit, he defined how “Web 2.0” represented not only the resurgence of the web after the dot com bust, but a new model for the computer industry, based on big data, collective intelligence, and the internet as a platform. In 2009, with his “Gov 2.0 Summit,” he framed a conversation about the modernization of government technology that has shaped policy and spawned initiatives at the Federal, State, and local level and around the world. He has now turned his attention to the implications of AI, the on-demand economy, and other technologies that are transforming the nature of work and the future shape of the business world. This is the subject of his forthcoming book from Harper Business, WTF: What’s the Future and Why It’s Up to Us.

About #Podcast:

FutureOfData podcast is a conversation starter to bring leaders, influencers, and lead practitioners to discuss their journey in creating the data-driven future.

Wanna Join? If you or any you know wants to join in or sponsor, Email us @ [email protected]

Keywords:

FutureOfData #DataAnalytics #Leadership #Futurist #Podcast #BigData #Strategy

Have you ever read an analytics job description? Have you found yourself wondering, "Is it just me, or is there something fishy going on here?" Who better to verbally cogitate this question writ large than a couple of guys who haven't actually applied for a job in a few years? Join Michael and Tim as they dive into the world of analytics job descriptions and chat about the red flags they find...and the various tangential thoughts that the exercise itself sparks. Resources mentioned in this episode include: the Digital Analytics Association, Google Tag Manager Updates: Workspaces and User Manager by Amanda Schroeder from LunaMetrics, Revamped User Interface in Google Tag Manager by Simo Ahava.

GET MORE WITH MANNING An eBook copy of the previous edition, MongoDB in Action (First Edition), is included at no additional cost. It will be automatically added to your Manning Bookshelf within 24 hours of purchase. MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. About the Technology This document-oriented database was built for high availability, supports rich, dynamic schemas, and lets you easily distribute data across multiple servers. MongoDB 3.0 is flexible, scalable, and very fast, even with big data loads. About the Book MongoDB in Action, Second Edition is a completely revised and updated version. It introduces MongoDB 3.0 and the document-oriented database model. This perfectly paced book gives you both the big picture you'll need as a developer and enough low-level detail to satisfy system engineers. Lots of examples will help you develop confidence in the crucial area of data modeling. You'll also love the deep explanations of each feature, including replication, auto-sharding, and deployment. What's Inside Indexes, queries, and standard DB operations Aggregation and text searching Map-reduce for custom aggregations and reporting Deploying for scale and high availability Updated for Mongo 3.0 About the Reader Written for developers. No previous MongoDB or NoSQL experience is assumed. About the Authors After working at MongoDB, Kyle Banker is now at a startup. Peter Bakkum is a developer with MongoDB expertise. Shaun Verch has worked on the core server team at MongoDB. A Genentech engineer, Doug Garrett is one of the winners of the MongoDB Innovation Award for Analytics. A software architect, Tim Hawkins has led search engineering at Yahoo Europe. Technical Contributor: Wouter Thielen Technical Editor: Mihalis Tsoukalos Quotes A thorough manual for learning, practicing, and implementing MongoDB - Jeet Marwah, Acer Inc. A must-read to properly use MongoDB and model your data in the best possible way. - Hernan Garcia, Betterez Inc. Provides all the necessary details to get you jump-started with MongoDB. - Gregor Zurowski, Independent Software Development Consultant Awesome! MongoDB in a nutshell. - Hardy Ferentschik, Red Hat

Want to hear Jim Cain wing it for 40 minutes as he discusses a survey he never read? Interested in hearing Tim Wilson boil with incandescent rage as Jim triggers the Indiana Jones style pressure pads under his overpriced hotel snacks? Then this is the episode for you! Michael, Jim and Tim talk through the responses they found most interesting (VERY heavy use of that word in this episode) from the Duke University Fuqua School of Business's bi-annual CMO survey (cmosurvey.org).

New York State approved the use of automated speed cameras within a specific range of schools. Tim Schmeier did an analysis of publically available data related to these cameras as part of a project at the NYC Data Science Academy. Tim's work leverages several open data sets to ask the questions: are the speed cameras succeeding in their intended purpose of increasing public safety near schools? What he found using open data may surprise you. You can read Tim's write up titled Speed Cameras: Revenue or Public Safety? on the NYC Data Science Academy blog. His original write up, reproducible analysis, and figures are a great compliment to this episode. For his benevolent recommendation, Tim suggests listeners visit Maddie's Fund - a data driven charity devoted to helping achieve and sustain a no-kill pet nation. And for his self-serving recommendation, Tim Schmeier will very shortly be on the job market. If you, your employeer, or someone you know is looking for data science talent, you can reach time at his gmail account which is timothy.schmeier at gmail dot com.