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2020-Q1 2026-Q1

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by Lisa O'Malley (Google Cloud) , Yasmeen Ahmad (Google Cloud) , Sundar Pichai (Google) , Payal Chakravarty (Google Cloud) , Thomas Kurian (Google Cloud) , Amin Vahdat (Google Cloud) , Nenshad Bardoliwalla (Google Cloud) , Gabe Weiss (Google Cloud) , Nav Jagpal (Google Cloud) , Patrick Marlo (Google) , Brad Calder (Google Cloud) , Sandra Joyce (Google Cloud)

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

session
by Lisa O'Malley (Google Cloud) , Yasmeen Ahmad (Google Cloud) , Sundar Pichai (Google) , Payal Chakravarty (Google Cloud) , Thomas Kurian (Google Cloud) , Amin Vahdat (Google Cloud) , Nenshad Bardoliwalla (Google Cloud) , Gabe Weiss (Google Cloud) , Nav Jagpal (Google Cloud) , Patrick Marlo (Google) , Brad Calder (Google Cloud) , Sandra Joyce (Google Cloud)

Organizations around the world are building with Google Cloud to drive growth and transform industries. Join Google Cloud CEO Thomas Kurian at our Opening Keynote to get a front row seat to see all the new product innovations and latest trends and insights. And hear from customers on how they are building new solutions that make a real business impact.

Andrew Garkavyi and Lesha Levzhynskyi discuss the history and present state of shipping features across Grammarly's multiple platforms, recounting challenges and approaches from fully native to web to hybrid, and addressing overlays, assistant and chat modes in the age of LLMs.

Après 5 ans d'évènements géopolitiques, économiques et sanitaires majeurs, le paysage tech est bousculé. En ajoutant à cela les évolutions de l'IA, notre métier de développeur n'aura jamais été autant chahuté. Et il est à peu près sûr aujourd'hui qu'il ne sera plus jamais comme avant.\n\nOn va retracer dans ce talk les différents points qui nous ont amené ici, voir quelle est la situation actuelle et comment se préparer au mieux pour la suite.

In this session we will go over how we created GneissWeb and discuss tools and techniques used. We will provide code examples that you can try at your leisure.

👉 > 2% avg improvement in benchmark performance over FineWeb 👉 Huggingface page 👉 Data prep kit detailed recipe 👉 Data prep kit bloom filter for quick reproduction 👉 Recipe models for reproduction 👉 announcement 👉 Paper

This talk explores how modern AI tools can bridge the gap between developers and adopters, transforming documentation into an interactive, continuously improving resource.\n\nFocusing on Retrieval-Augmented Generation (RAG) in Elixir, it highlights how RAG can enhance both the creation and interaction with documentation, making it more engaging and effective. Attendees will learn about core RAG principles, handling fuzzy code searches, and mitigating security risks, offering a roadmap for small teams to create impactful documentation that supports growth and adoption.

Emerging GovTech webinar focusing on healthcare waste, fraud, and abuse; speakers discuss the scale, causes, and impact of waste; how blockchain, Web3, and decentralized technologies can enhance data security, governance, and compliance; discussion of solutions like the National HERO Initiative and 340B Transparency & Accountability Program, and the role of the Blockchain Maturity Model; and how AI MINDSystems Foundation, Solve.Care Foundation, and Tuumio are driving change in healthcare.

Die Anwendung von KI-Modellen wird zunehmend benutzerfreundlicher und für jedermann zugänglich. Dies erweist sich insbesondere in der aufstrebenden Welt des Internet of Things (IoT) als äußerst bedeutsam. Die Verschmelzung dieser beiden Technologien eröffnet faszinierende, neue Möglichkeiten, um bedeutende Erkenntnisse aus den eigenen Daten zu gewinnen. Doch wie es oft der Fall ist, gestaltet sich der Einstieg nicht immer ganz leicht. Aus diesem Grund erklären wir euch in diesem Talk nicht nur die notwendigen Fachbegriffe, sondern erarbeiten die praktisch relevanten Schlüsselkonzepte im Code - ganz ohne höhere Mathematik und geben euch so einen AI-Kickstart mit Python und C#. Also ran an die Jupyter Notebooks und starte mit uns eine Reise in die wundervolle Welt der künstlichen Intelligenz und finde heraus welche Actions und Insights in deinen Sensordaten schlummern!