~/conference

Google Cloud Next 2024

software developers, machine learning engineers, data engineers, cloud architects, site reliability engineers, devops engineers, security engineers

Gemini model deployments; Vertex AI APIs; semantic search with embeddings; document understanding with Document AI; LangChain apps on Cloud Run; fine-tuning on GKE with GCS; Cloud SQL with pgvector; access to GPUs for AI workloads; grounded generation with citations; Gemini Code Assist in IDEs; Cloud Workflows for automation; healthcare AI over FHIR

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Next 2024 at Las VegasDaryl Ducharme01m
Short promo for Next 2024 announcing an in‑person event in Las Vegas on April 9–11 with keynote addresses, live sessions, innovation showcases, interactive…
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Build your own LLM on CloudAli Zaidi05m
Architecture shows deployment of a base Gemma 7B model for text completion and a fine-tuned Gemma using the Databricks Dolly dataset (about 15k examples) to…
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What is Gemini Code Assist?Daryl Ducharme02m
Gemini Code Assist completes your code as you write and generates whole blocks or functions on demand, and it runs inside IDEs like Visual Studio Code and…
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Build generative apps faster with Vertex AIDebi Cabrera, Dimitris Meretakis09m
Announces six new Vertex APIs for production gen‑AI workflows: a Document Understanding API (DocAI‑based) that extracts sections, tables and structure; an…
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Unlocking Document Automation with Vertex AI PlatformRand Wrobel08m
Demonstrates Gemini on Google Cloud with Document AI and Vertex AI Search to ingest and embed 8,500 prospectuses and user profiles, populate databases, and…
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Building LLM Apps on App EngineDebi Cabrera, Steren Giannini, Wietse Venema06m
LangChain apps deploy to Cloud Run with a working demo that indexes release notes, calls Gemini on Vertex Endpoints, and returns grounded answers — the demo…
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What is semantic search?Jeff Nelson01m
Semantic search replaces exact keyword matching with numeric representations so queries and documents compare by meaning not spelling It uses vector embeddings…
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Thank you developers for a funDebi Cabrera01m
A short wrap video that stitches together developer keynote highlights and demo clips with music, not a deep technical talk or hands‑on walkthrough. It calls…
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Using Gemini AI workflows for productivityMax Saltonstall02m
Demo shows Gemini wired into GCP Workflows to do three concrete things: summarize a 26-email thread into high-priority answers, parse an unfamiliar codebase…
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Use cases for Gemini Code AssistKarl Weinmeister01m
Gemini Code Assist claims to write tests, optimize performance, and detect bugs while also generating comments and code explanations. It appears in the Google…
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approach to generative AISeth Vargo, Warren Barkley11m
Google Cloud rolls out Gemini 1.5 Pro with a 1 million token context that ingests hour‑long video and audio for reasoning, plus Imagen outpainting and live…
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How generative AI can support medical staffDevi Sandireddy05m
Demo shows a working nurse handoff flow that cuts manual note-sifting by auto-summarizing and chronologically organizing records, claiming to address 57%…
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Build Generative AI Apps for Enterprises with CloudDebi Cabrera, Harish Jayakumar, Sean Rhee07m
Recommends a concrete template: Cloud Run + AlloyDB as the quick-start stack, swapping in GKE or Cloud SQL when needed, and using Vertex AI for embeddings and…
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Developer Keynote recap – Richard SeroterRichard Seroter09m
Gemini 1.5 Pro Vision claims it can ingest a 75‑minute keynote and extract who spoke when and demo times, not just a transcript, and BigQuery Studio now runs…
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Welcome to Las VegasDebi Cabrera01m
Three days of on‑site coverage distill the generative AI solutions for cloud announcements into short highlight segments, show deep dive demos that walk a…
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Storage: managing billions of objectsDebi Cabrera, Manjul Sahay, Abhishek Lal09m
Announces concrete tooling: a pipeline that exports object and bucket metadata into BigQuery as storage insights data sets so one config covers hundreds of…
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How businesses can leverage Gemini AICandice Chen08m
Demo shows a working Data Beans dashboard for Coffee on Wheels using BigQuery, AlloyDB, Vertex AI and Gemini in business to turn data into actions: event…
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Accelerate AI adoptionMohan Pichika03m
Explains how a notebook connects to a GKE-managed TPU cluster to run large-model training end-to-end: create the GKE TPU cluster outside the notebook, start…
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Generative AI app development with Cloud SQL for PostgreSQLDebi Cabrera, Shambhu Hegde, Bala Narasimhan08m
Cloud SQL for PostgreSQL converts to a vector DB with one command installs pgvector, runs on managed Cloud SQL with availability, backups and security, and the…
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Using Gemini AI for managing infrastructure and appsDebi Cabrera, John Murray07m
Gemini for Google Cloud integrates Cloud Assist and Code Assist to convert natural‑language questions into queries, run them against Cloud Monitoring…
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AI solutions for healthcareJim Hogan03m
Demo shows a Calantic toolkit that combines multiple FDA-approved tools into one interface for radiologists, integrated on a Bayer three-tier architecture that…
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Scaling your applications with Cloud SQL for MySQLDebi Cabrera, Isabella Lubin06m
Cloud SQL for MySQL Enterprise Plus now supports subsecond downtime for planned maintenance and live vCPU scaling, and data cache shows up to 3x read…
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Connecting data sources with AILuka Fontanilla13m
An immersive web app links Pub/Sub and Dataflow ingestion to BigQuery storage, Looker dashboards and Google Maps Platform 3D tiles, with Vertex AI/Gemini and…
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Maximizing Cloud SQL database availabilityDebi Cabrera, Rahul Deshmukh05m
Cloud SQL claims a 99.99% SLA and now achieves subsecond downtime (less than one second, down from under 10 seconds) by building a shadow replica that catches…
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Generative AI with Google Cloud for founders and startupsDebi Cabrera, Darren Mowry10m
Google Cloud outlines concrete startup support: flexible use of Gemini, first‑party and open‑source models, custom model training on chips and infrastructure…
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How does AI for sports work?Hyunuk Lim01m
Gemini combines three concrete inputs: a live video feed for visual context, per-frame tracking from OpenCV tracking ingested into BigQuery, and a predefined…
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The UPS network of the futureCarly Hartwick, Jeff Winkelman04m
UPS models its entire shipping environment as a digital twin on Google Cloud, ingesting large datasets into BigQuery, running simulations on Google Kubernetes…
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Accelerating AI inference workloadsDebi Cabrera, Alex Spiridonov14m
JetStream delivers an open‑source, XLA‑optimized inference engine for large language models with techniques like continuous batching and quantization to cut…
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A guide to building Gemini API keyDebi Cabrera, Aditya MP, Pramodh Ramesh07m
Gemini Code Assist is a built-in feature of Google Cloud’s application integration iPaaS that turns short prompts into runnable automations, demonstrated live…
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Can AI analytics be used with sports other than golf?Hyunuk Lim01m
Demonstrates that Computer Vision and Gemini track fast-moving objects beyond golf, with a live prototype following a hockey puck or a basketball and producing…
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Extract value with assisted analyticsManoj Gunti, Kenny He07m
A live demo shows Gemini calling BigQuery via Function Calling with Gemini to turn plain-English questions into SQL, run queries, and format answers; the team…
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Elevate security with Gemini AICruz Vargas04m
Gemini plugs into Google Security Command Center, Threat Intelligence and SecOps to reduce hours of analyst work to minutes by using natural language queries…
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Developer Keynote recap – Kaslin FieldsKaslin Fields10m
Demo shows a chat frontend paired with a microservices backend running on GKE Autopilot, using an image upload of a real dining room to surface catalog matches…
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A guide to Gemini APIs and integrations in ApigeeDebi Cabrera, Aditya MP, Michael Vakoc07m
Gemini Code Assist generates OpenAPI specs and Apigee API proxies inside VS Code and the Cloud Console, turning natural-language prompts into runnable mocks…
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Distributed Cloud for retail and manufacturingCameron Peron, Nishant Kohli04m
Demo shows an on‑prem inference stack built on Google Distributed Cloud using TPUs and a three-node managed environment that Google operates from firmware…
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Developer Keynote recap – Chloe CondonChloe Condon10m
Demo shows Gemini-powered travel apps that take a short video of a bookshelf and extract locations, then a Generative AI Studio → Vercel app returns flight…
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Easy and affordable access to GPUs for AI/ML workloadsDebi Cabrera, Laura Ionita, Ari Liberman12m
Dynamic Workload Scheduler (DWS) allocates GPU/TPU capacity on demand for short ML runs by letting users request a number of GPUs and a duration, then queuing…
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Serverless: Accelerate your AIDebi Cabrera, Sara Ford07m
Overview of using Google Cloud serverless to run Generative AI with concrete demos: a Gemini-powered chatbot hosted on Cloud Run, a function-calling flow that…
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Where can I find documentation?Arti Prasad01m
Documentation lives at cloud.google.com/docs and it is the canonical place for the Next announcements with product-organized technical deep dives. The site…
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Gen AI for regulated industriesAntoine Hass09m
Demonstrates a working on‑prem GenAI pipeline using Google Distributed Cloud for air‑gapped environments that extracts text from images, translates French to…
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Gemini Enterprise AIEmir Okan, Arini Balakrishnan05m
AlloyDB adds a built-in Columnar Engine that stores data columnwise inside Postgres and claims up to 100x faster analytical queries; demoed a real query…
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What's the idea behind Golf with Gemini?Hyunuk Lim01m
A mini golf setup at Cloud Next streams short clips to Gemini models that extract concrete metrics — swing angle and ball trajectory, club speed, contact point…
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New posture and infrastructure as code protectionDebi Cabrera, Mukesh Marodia09m
Security Command Center Enterprise adds targeted security posture controls and infrastructure as code scanning that surface and block misconfigurations before…
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Security Operations & Threat IntelligenceSandy Wenzel02m
Demonstration shows Google Security Operations with Gemini in Vertex AI tying into SOAR playbooks to group alerts by causality, produce an AI summary, and…
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Marketplace for deploying AI models fasterDebi Cabrera, Sakshi Goel09m
Google Cloud Marketplace introduces a generative AI category that lists vetted model providers, SaaS products, and services validated through technical checks…
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Protecting workloads with next generation firewallDebi Cabrera, Tracy Jiang, Osvaldo Costa08m
Google Cloud ships a fully distributed firewall engine that attaches to each workload, enforces hierarchical org/folder policies, and applies tag-based…
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Scaling and innovating with databasesDebi Cabrera, Aalok Muley08m
Palo Alto Networks migrates from self‑managed Cassandra to Bigtable and records 5x lower latency, roughly 50% fewer application incidents and about 50% lower…
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security solutionsDebi Cabrera, Vinod D'Souza09m
Automotive firms treat cars as connected IoT systems and move sensor and manufacturing data into Google Cloud to reduce risk of vehicle-targeted attacks; on…
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cybersecurity solutionsNicolas Bédard, Aleksandra Savic03m
Covers concrete Google tools and recent Next 2024 announcements: using Cloud Identity to enforce least privilege, deploying Cloud Armor for DDoS and top‑10 web…
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Multi-cloud security made easy for DevOpsGreg Kushmerek05m
Security Command Center Enterprise extends GCP Premium to show risks across GCP and AWS, with Attack Path Simulation expanded to AWS visualizing how a…
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AI generated trivia games on CloudDennis Lu03m
A live demo of a playable trivia app called Hypergame built on Google Cloud uses Gemini Ultra to generate questions on the fly, served from hypergame.cloud. A…
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Modernization of manufacturing processesKiran Srirama, Imad Qureshi05m
A generative AI assistant built on Google Cloud and Manufacturing Data Engine detects a locomotive running at 80% speed / 11% more fuel, diagnoses a fuel pump…
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How CIOs can reduce cloud costYang Liu05m
Google Cloud announces a specific cost plan: N4 (Emerald Rapids + DRM) virtual machines let customers pick custom or predefined shapes and boost…
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What do attendees think of when they hear "Gen AI"?Paige Cruz, Patricia Fernández, Felix Iben, Angel Ibarra, Yujun Liang, Aditya Annavajjala, Guy Shafir, Mallik Pullela02m
Attendees respond to "Gen AI" with quick concrete labels — emerging, inspiration, magical, opportunity — and tie it to real work: one attendee mentions 11…
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What have attendees learned?Aditya Annavajjala, Paige Cruz, Jason Cowdy, Felix Iben, Angel Ibarra, Yujun Liang02m
Attendees report concrete takeaways: Cloud now has built-in support for managing a fleet of OpenTelemetry collectors so observability scales, and teams are…
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