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Title & Speakers	Event
Partner's event: "AI Business Leaders Conference" 2023-10-18 · 13:00 Join the Institute for Experiential AI's annual business leaders conference and learn how to ignite your organization's growth and stay ahead of the curve in the AI revolution - https://ai.northeastern.edu/ai-business-conference/ About the Event: Join us for a day-long event exclusively designed for business leaders, featuring captivating keynote presentations and interactive, actionable breakout sessions led by esteemed AI experts including Peter Norvig (Google/Stanford), Ashok Srivasta (CDO, Intuit) Michelle Gansle (VP of Global Insights and Analytics, McDonald’s) and Ronke Ekwensi (CDO, T-Mobile) and More Ignite your organization's growth and stay ahead of the curve in the AI revolution. Discover the strategies to harness the transformative power of AI responsibly for your business. Explore the boundless possibilities that Generative AI offers to organizations seeking innovative opportunities. Tickets: 2 available at a $100 discount for this event using code ODSC23 ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 • ODSC blog: https://opendatascience.com/ • Facebook: https://www.facebook.com/OPENDATASCI • Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science • Slack Channel: https://hubs.li/Q01_Yrgb0 • Code of conduct: https://odsc.com/code-of-conduct/	Partner's event: "AI Business Leaders Conference"
Event Google I/O Extended 2023 North America 2023-08-31
AI - Built by Open-source 2023-08-31 · 16:00 Maddie Shang – Sr. AI Research Engineer @ OpenMined Open-source is helping AI become more aligned, trustworthy, accessible and creating opportunities at a scale we’ve never experienced before. The future of AI is open and bountiful… will you be a part of it? open-source tooling open-source software
GenAI: An Unreliable Information Store...and What to Do About It 2023-08-31 · 15:30 Noble Ackerson – AI Product Manager @ Ventera Synopsis: Embark on an enlightening journey with Noble as he tackles the challenges of integrating Large Language Models (LLMs) into enterprise environments. Understand the inherent unreliability of these models and explore innovative solutions, ranging from vector databases to prompt chaining, that aim to enhance the trustworthiness of LLMs in crucial applications. vector databases prompt chaining llms
Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models 2023-08-31 · 15:00 Delve into the fascinating realm of visualization generation with LIDA, a tool that seamlessly integrates LLMs and Image Generation Models (IGMs). Victor will explore the challenges, designs, and innovations in the world of LLM-enabled visualization tools. llms image generation models (igms) lida
Envisioning Navigation: Harnessing AI for Assistive Solutions 2023-08-31 · 14:30 Roya Kandalan – Senior Research Scientist @ Aware, Inc. Navigating the development of an assistive indoor technology for the visually impaired, my PhD journey intersected with Google's advanced tools. Tasked with optimizing location accuracy on budget smartphones, I integrated methodologies reminiscent of those in autonomous vehicle systems. The application utilized TensorFlow Lite's version of YOLO from GCP for obstacle detection, enhanced with transfer learning to widen object recognition capabilities. Google's text-to-speech and speech recognition APIs became pivotal, filling the gap in my resource constraints. This talk underscores the power of leveraging accessible tools in creating impactful, innovative tech solutions, while offering insights into the practical challenges and successes of my endeavor. tensorflow lite yolo (gcp) text-to-speech api speech recognition api
Using LLMs to Bridge the Fuzzy Human / Digital Computer Boundary 2023-08-31 · 14:00 Allen Firstenberg – Google Developer Expert (Google Assistant & AI/ML) @ Google Explore how Large Language Models (LLMs) are bridging the gap between human thought processes and discrete digital operations. Allen will provide insights on using LLMs for tasks such as SQL queries, creating search embeddings, and generating human-friendly responses. large language models (llms) sql queries search embeddings natural language generation
Keynote Address 2023-08-31 · 13:00 Peter Norvig – Director of Research @ Google Delve into the intricate confluence of AI-driven search, software development, and online education and reflect upon its implications for developers, educators, and tech enthusiasts. AI/ML Confluence

StateoftheArt() - A Generative AI Conference on LLMS and AI Agents 2023-07-25 · 16:00 Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109 Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI. Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks. Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109	StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
StateoftheArt() - A Generative AI Conference on LLMS and AI Agents 2023-07-25 · 16:00 Register on the event website to receive joining link: https://www.aicamp.ai/event/eventdetails/W2023071109 Description: Join us for a half-day event featuring top AI/Ml influencers and leaders in the industry. The central focus will be generative AI. We will feature discussions on building your own custom LLMs, building simple AI agents, and the future of generative AI. Previously we have had Silicon Valley legends such as Eric Schmidt, Peter Norvig, Pieter Abbeel, & Alon Halevy deliver riveting fireside chats about AI, deep learning, and more. We will slowly reveal more about our exciting guests joining us in the coming weeks. Visit the event website for updated speakers, agenda and RSVP: https://www.aicamp.ai/event/eventdetails/W2023071109	StateoftheArt() - A Generative AI Conference on LLMS and AI Agents
Event Databricks DATA + AI Summit 2023 2022-07-19
What to Know about Data Science and Machine Learning in 2022 Peter Norvig 2022-07-19 · 16:13 Peter Norvig – Director of Research @ Google After writing an AI textbook in 2020 and a Data Science textbook in 2022, Peter Norvig reflects on how we teach and learn about these fields has changed in recent years. New data and new algorithms have become available, but more importantly, ethical and societal issues have become more prominent, and the question of what exactly we are trying to optimize is paramount. Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ AI/ML Data Science Databricks	YouTube
Day 2 Morning Keynote \| Data + AI Summit 2022 2022-07-19 · 16:13 Ganesh Jayaram , Manish Amde – Director of Engineering @ Intuit , Kasey Uhlenhuth – Staff Product Manager @ Databricks , Peter Norvig – Director of Research @ Google , Andrew Ng – guest , Hilary Mason – guest @ Hidden Door , Michael Armbrust @ Databricks , Stacy Kerkela @ Databricks , Patrick Wendell – Co-founder and VP of Engineering @ Databricks , Alon Amit – AI+Data Vice President of Product @ Intuit Day 2 Morning Keynote \| Data + AI Summit 2022 Production Machine Learning \| Patrick Wendell MLflow 2.0 \| Kasey Uhlenhuth Revolutionizing agriculture with AI: Delivering smart industrial solutions built upon a Lakehouse architecture \| Ganesh Jayaram Intuit’s Data Journey to the Lakehouse: Developing Smart, Personalized Financial Products for 100M+ Consumers & Small Businesses \| Alon Amit and Manish Amde Workflows \| Stacy Kerkela Delta Live Tables \| Michael Armbrust AI and creativity, and building data products where there's no quantitative metric for success, such as in games, or web-scale search, or content discovery \| Hilary Mason What to Know about Data Science and Machine Learning in 2022 \| Peter Norvig Data-centric AI development: From Big Data to Good Data \| Andrew Ng Connect with us: Website: https://databricks.com Facebook: https://www.facebook.com/databricksinc Twitter: https://twitter.com/databricks LinkedIn: https://www.linkedin.com/company/data... Instagram: https://www.instagram.com/databricksinc/ AI/ML Big Data Data Lakehouse Data Science Databricks Delta	YouTube

What it Takes to Drive Transformation with Bill Higgins 2019-10-09 · 14:00 Al Martin – WW VP Technical Sales @ IBM , Bill Higgins – IBM Distinguished Engineer @ IBM Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Bill Higgins, IBM Distinguished Engineer joins us for this episode of Making Data Simple. Host Al Martin gets all the details from Bill regarding transformation. What is needed to deliver transformation that scales? How difficult is it to do at a company as large as IBM? Tune in to find out and more. Connect with Bill LinkedIn Twitter Medium Show Notes 04:22 - Here are some more tips on driving successful transformation. 11:14 - Check out this story from another IBM Distinguished Engineer. 15:38 - Learn more about Peter Norvig from his site here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. IBM	Making Data Simple Listen
Data Scientists at Work 2014-12-15 Sebastian Gutierrez – author Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (Andre´ Karpis?ts?enkoEach of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. , Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients. data data-science data-science-as-a-profession AI/ML Big Data Cloud Computing Data Science DataViz Marketing Data Streaming	O'Reilly Data Science Books
Beautiful Data 2009-07-21 Jeff Hammerbacher – author , Toby Segaran – author In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran data data-engineering	O'Reilly Data Engineering Books

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