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GenerativeAI Super Meet Up 2025-12-09 · 10:00

Bonjour à tous,

Nous organisons pour la première fois une journée de "Super meet up" avec des anciens speakers qui reviennent pour nous parler de leur dernières avancées. Cette journée aura lieu le 9 décembre au CNIT. Elle se déroule au sein de la conférence apidays où ils nous offrent une salle.

Bonne nouvelle : nous avons 80 places à offrir à la communauté via ce lien.

Pour assister à la conférence, il faut absolument prendre une place sur le site apidays. Le pass vous donne également droit au reste de la conférence les autres jours.

Pour les talks nous sommes très contents d'annoncer :

  • AGO : Maxime Thoonsen Founder
  • Partoo : Thibault Renouf CO-CEO
  • Docker : David Gageot Senior Principal Software Engineer et Jean-Laurent de Morlhon VP Software Engineering
  • Linkup : Boris Toledano COO
  • 360Learning : Marie Douriez Lead Machine Learning Engineer et Adrien Gros AI Product Manager
  • Brut : Alexandre Lavallee Ingénieur IA et Iris Izraylevich Responsable pôle data
  • Mirakl : Fanny Guélin Senior Product Manager et Pierre Lourdelet Data Scientist
  • Wavestone: Ari Kouts Manager Innovation & AI
  • Bangcast : Nikolay Martynov
  • Theodo : Thomas Walter CTO France
  • LeBonCoin : Yoann C. Engineering Manager et Yann Lemonnier Staff Machine Learning Engineer

Vous avez également des places à 30% de réduction ici s'il n'en reste plus de gratuites via ce lien.

Hâte de vous y retrouver,

La team Generative AI France

GenerativeAI Super Meet Up

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.

data data-science AI/ML Analytics
O'Reilly Data Science Books
David I. Pritchard – guest , Veeren M Chauhan – curator/researcher @ University of Nottingham , David J. Scurr – guest , Jonathan W. Aylott – guest , Gary Telford – guest , Thomas Christie – guest

How does a tiny hookworm outsmart the human immune system? In this episode, we explore the physicochemical fingerprint of Necator americanus, a parasite that infects millions worldwide. Using cutting-edge techniques like atomic force microscopy (AFM) and time-of-flight secondary ion mass spectrometry (ToF-SIMS), researchers reveal how the hookworm’s sheath and cuticle surfaces play a crucial role in immune evasion and infection.

🔍 Key Topics Covered: • The unique surface properties of N. americanus at the infective L3 stage • How the hookworm’s sheath diverts immune defences, aiding reinfection • The role of nano-annuli in enhancing adhesion and survival • How surface chemistry, including heparan sulphate and phosphatidylglycerol, influences parasite migration

📖 Based on the research article: “The Physicochemical Fingerprint of Necator americanus”** Veeren M. Chauhan, David J. Scurr, Thomas Christie, Gary Telford, Jonathan W. Aylott, David I. Pritchard. Published in PLOS Neglected Tropical Diseases (2017). 🔗 Read it here: https://doi.org/10.1371/journal.pntd.0005971

Join us as we discuss how surface biochemistry influences parasite survival, reinfection, and potential future treatments!

🎧 Subscribe to the WoRM Podcast for more deep dives into cutting-edge parasitology research!

This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 www.veerenchauhan.com 📧 [email protected]

AI/ML
WOrM Podcast: Whole Organism Analytics Podcast

Skylar Hawthorne and David Thomas join us to discuss three specific surveys of the transgender population in the United States, how best to measure "unseen" populations, and the ideal thickness of French toast.

Show notes are available at https://myumi.ch/ICPSRDataBrunch.

Data Brunch from ICPSR
Nathan Furr – Professor of Strategy and Innovation @ INSEAD

In this podcast, Nathan Furr(@nathan_furr) talks about leading transformation. He shares some of the crucial ingredients of transformational leaders. He sheds some light on how businesses could improve their storytelling to get the transformation agenda across. He shares some cool tips and tricks that help leaders plan for a transformation across data-driven and disruptive times.

Timeline: 1:39 Nathan's journey. 4:49 Nathan's current role. 13:55 Transforming legacy old company. 21:52 The right moment for companies to think about data transformation. 26:38 Using comic books to share transformational stories. 34:32 Who's the most responsible person in an organization for transformation? 39:13 Qualities a leader must have for bringing in transformational change. 43:40 Nathan's success mantra. 47:57 Nathan's favorite reads. 50:29 Closing remarks.

Nathan's Recommended Read: East of Eden (Penguin Twentieth-Century Classics) by John Steinbeck, David Wyatt https://amzn.to/2S9MHA0

Nathan's Books The Innovator's Method: Bringing the Lean Start-up into Your Organization by Nathan Furr, Jeff Dyer, Clayton M. Christensen https://amzn.to/2TeadJE Leading Transformation: How to Take Charge of Your Company's Future by Nathan Furr, Kyle Nel, Thomas Zoega Ramsey https://amzn.to/2CTw16z Nail It then Scale It: The Entrepreneur's Guide to Creating and Managing Breakthrough Innovation: The lean startup book to help entrepreneurs launch a high-growth business by Nathan Furr, Paul Ahlstrom https://amzn.to/2UfTpSC

Podcast Link: https://futureofdata.org/leading-transformation-through-data-driven-times-nathan_furr-insead-futureofdata-podcast/

Nathan's BIO: Nathan Furr is a professor of strategy and innovation at INSEAD in Paris and a recognized expert in innovation and technology strategy. He has multiple books and articles published by outlets such as Harvard Business Review and MIT Sloan Management Review, including his most recent best-selling book, “The Innovator’s Method” (Harvard Business Review Press, September 2014), which won multiple awards from the business press. He has two forthcoming books from Harvard Business Review Press addressing 1) how companies lead transformation and 2) how innovators win support for their ideas.

Professor Furr has worked with leading companies to study and implement innovation strategies, including Google, Amazon, Citi, Deutsche Bank, Philips, Kimberly Clark, Solvay, and others. Professor Furr earned his Ph.D. from the Stanford Technology Ventures Program at Stanford University.

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, Register your interest by emailing us @ [email protected]

Want to sponsor? Email us @ [email protected]

Keywords: FutureOfData,

DataAnalytics,

Leadership,

Futurist,

Podcast,

BigData,

Strategy

Big Data
The Future of Data Podcast | conversation with leaders, influencers, and change makers in the World of Data & Analytics
John Mount – author , Nina Zumel – author

Practical Data Science with R, Second Edition takes a practice-oriented approach to explaining basic principles in the ever expanding field of data science. You’ll jump right to real-world use cases as you apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support. About the Technology Evidence-based decisions are crucial to success. Applying the right data analysis techniques to your carefully curated business data helps you make accurate predictions, identify trends, and spot trouble in advance. The R data analysis platform provides the tools you need to tackle day-to-day data analysis and machine learning tasks efficiently and effectively. About the Book Practical Data Science with R, Second Edition is a task-based tutorial that leads readers through dozens of useful, data analysis practices using the R language. By concentrating on the most important tasks you’ll face on the job, this friendly guide is comfortable both for business analysts and data scientists. Because data is only useful if it can be understood, you’ll also find fantastic tips for organizing and presenting data in tables, as well as snappy visualizations. What's Inside Statistical analysis for business pros Effective data presentation The most useful R tools Interpreting complicated predictive models About the Reader You’ll need to be comfortable with basic statistics and have an introductory knowledge of R or another high-level programming language. About the Authors Nina Zumel and John Mount founded a San Francisco–based data science consulting firm. Both hold PhDs from Carnegie Mellon University and blog on statistics, probability, and computer science. Quotes Full of useful shared experience and practical advice. Highly recommended. - From the Foreword by Jeremy Howard and Rachel Thomas Great examples and an informative walk-through of the data science process. - David Meza, NASA Offers interesting perspectives that cover many aspects of practical data science; a good reference. - Pascal Barbedor, BL SET R you ready to get data science done the right way? - Taylor Dolezal, Disney Studios

data data-science AI/ML BI Computer Science Data Science Marketing R
O'Reilly Data Science Books

How to Use Mentoring to Drive Maximum Competitive Advantage Techniques and lessons from IBM’s world-class mentoring programs—for every business and HR leader, strategist, Chief Learning Officer, consultant, trainer, and scholar “A crucial part of my job is to help develop and retain the more than 200,000 members of IBM’s global technical community. Over the years, I have found that the true spirit of any organization is its people, and unique, world-class mentoring programs play a crucial role in their success. What I really like about Intelligent Mentoring is that it is not an academic treatise on the theory of mentoring, but a series of practical solutions that can be used by virtually any organization to gain productivity, increase retention, and improve bottom-line results.” — Nick Donofrio, Executive Vice President, Innovation and Technology, IBM Corporation “We have known about the importance of mentoring in developing people for decades. Yet few organizations have successfully leveraged it as part of their HR strategy. IBM is one of those companies. Intelligent Mentoring is about more than the mentoring initiative successfully implemented at IBM. It is a guide for how companies can leverage mentoring in a way that aligns with company strategy and supports organizational and individual development. It is a must-read for any executive considering a mentoring initiative as part of the firm’s HR strategy. IBM’s mentoring effort combined the best of what we know from mentoring research, career development theory, and change management to create a highly successful effort. There is much here for practitioners and scholars to learn.” — David A. Thomas, Ph.D., Naylor Fitzhugh Professor of Business Administration, Harvard Business School “Performance is the ultimate driver of this company. Even back in our earliest days, one of the keys to IBM’s greatness was performance, along with top-notch technology. Since arriving at IBM in 2000, my goal has been to identify, develop, train, reward, and retain high-performing people, and one of the best ways to support these high performers is through mentoring. I believe that Intelligent Mentoring has done a phenomenal job of capturing the innovative and varied mentoring initiatives that IBM has used over the years. The authors really take you inside the company and show how mentoring has helped IBM preserve its corporate culture by passing on knowledge, not only between generations, but in all directions throughout our global community. This book is a must-read for anyone who wants to use the powerful tool of mentoring to its best and most productive advantage, and I recommend it highly.” — Randy MacDonald, Senior Vice President, Human Resources, IBM Corporation For today’s enterprises, few challenges are as daunting as preparing tomorrow’s leaders. Mentoring is one of the most powerful tools at their disposal. But not all mentoring programs are equally effective, and not all companies have learned how to sustain mentoring. One company has: IBM. Intelligent Mentoring reveals how IBM has done it–and offers specific guidance and best practices you can use to achieve equally powerful results. Intelligent Mentoring shows how IBM has fully integrated a diverse portfolio of formal mentoring initiatives into both talent development and innovation promotion. Whether you’re a business leader, strategist, Chief Learning Officer, training specialist, coach, or consultant, this book presents a state-of-the-art framework for making mentoring work. Drawing on IBM’s experience, the authors demonstrate how to build a diverse portfolio of effective mentoring programs...use mentoring to strengthen organizational intelligence...build sustainable communities of mentors and mentees...promote collaboration across differences... and above all, link mentoring to strategy and use it to sustain competitive advantage. • Use mentoring to develop tomorrow’s world-class business leaders Actionable solutions and best practices from IBM’s breakthrough mentoring program • Embrace mentoring as a high-performance work practice Maximizing, capturing, and communicating the value-added impact of mentoring • Set the right goals for mentoring: then achieve them Utilize mentoring to strengthen organizational learning, improve retention, promote innovation, and more • Use mentoring to solve your organization’s most “wicked” problems How mentoring can help you respond to complex, tangled challenges you’ve never faced before

data data-engineering IBM
O'Reilly Data Engineering Books
Neil Raden – author , James Taylor – author

“Automated decisions systems are probably already being used in your industry, and they will undoubtedly grow in importance. If your business needs to make quick, accurate decisions on an industrialized scale, you need to read this book.” Thomas H. Davenport, Professor, Babson College, Author of Competing on Analytics The computer-based systems most organizations rely on to support their businesses are not very smart. Many of the business decisions these companies make tend to be hidden in systems that make poor decisions, or don’t make them at all. Further, most systems struggle to keep up with the pace of change. The answer is not to implement newer, “intelligent” systems. The fact is that much of today’s existing technology has the potential to be “smart enough” to make a big difference to an organization’s business. This book tells you how. Although the business context and underlying principles are explained in a nontechnical manner, the book also contains how-to guidance for more technical readers. The book’s companion site, www.smartenoughsystems.com, has additional information and references for practitioners as well as news and updates. Additional Praise for Smart (Enough) Systems “James Taylor and Neil Raden are on to something important in this book–the tremendous value of improving the large number of routine decisions that are made in organizations every day.” Dr. Hugh J. Watson, Chair of Business Administration, University of Georgia “This is a very important book. It lays out the agenda for business technology in the new century–nothing less than how to reorganize every aspect of how a company treats its customers.” David Raab, President, ClientXClient “This book is an important contribution to business productivity because it covers the opportunity from both the business executive’s and technologist’s perspective. This should be on every operational executive’s and every CIO’s list of essential reading.” John Parkinson, Former CTO, Capgemini, North American Region “This book shows how to use proven technology to make business processes smarter. It clearly makes the case that organizations need to optimize their operational decisions. It is a must-have reference for process professionals throughout your organization.” Jim Sinur, Chief Strategy Officer, Global 360, Inc.

data data-science business-intelligence Analytics
O'Reilly Data Science Books
Showing 8 results