talk-data.com talk-data.com

Company

Google Cloud

Speakers

1577

Activities

1229

Speakers from Google Cloud

Talks & appearances

1229 activities from Google Cloud speakers

Data scientists are under pressure to produce more and better results with fewer resources. This session will explore how Vertex AI can help data scientists be more productive. Mayo Clinic will show how they make it easy for their users to analyze data, experiment, train and deploy models through the use of Vertex AI features such as Workbench, AI Studio, Model Garden, Training and Inference, and Big Query. We’ll also cover recently released features of Vertex such as Colab Enterprise and Feature Store.

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In the era of multimodal generative AI, a unified governance-focused data platform powered by Gemini becomes paramount. Join this session to learn how BigQuery fuels your data and AI lifecycle from training to inference, by unifying structured and unstructured data such as text, images and audio, while encompassing security and governance. Learn how Priceline is using BigQuery and Vertex AI to reinvent customer experiences and lead the industry in data and AI innovation.

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Explore the latest advances in Cloud's key management services. You’ll see demos focusing on data protection services that help meet our customers’ most stringent data security, privacy, and compliance needs, including the latest release of AutoPilot, HSM, and more.

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session
Deb Lee (AI/ML Specialist) , Michael Kilberry (Head of Product - AI/ML, Data Analytics)

Join us to learn how to activate the full potential of your data with AI in BigQuery. Take an in-depth look at how BigQuery's core integration with generative AI models like Gemini, coupled with its petabyte-scale analytics capabilities, enables new possibilities for gaining insights from your data. Learn how to derive insights from your untapped and unstructured data such as images, documents, and audio files, and explore BigQuery vector search and multi-modal embeddings, all powered by Google's industry-leading AI capabilities in BigQuery using simple Cloud SQL queries. You will also learn how Unilever is creating a data strategy that allows data teams to scale efficiently and rapidly experiment with AI models and gen AI use cases.

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Digital transformation startup, ClearObject, is leading the way in helping organizations unlock the value of generative AI by creating custom applications for a variety of industries, from Financial Services, Manufacturing, Food and Beverage, and Education. In this lightning talk, you’ll hear how ClearObject goes from ideation to customer value, exploring the complete lifecycle of generative AI product development with real-world examples using Vertex AI, Google Cloud, and Workspace apps.

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Learn how Thales, a leader in global data security, has partnered with Google Workspace to help organizations across the world maintain granular data control and localized encryption to meet stringent regional and industry requirements around data privacy and sovereignty. Thales and Google will share how organizations can leverage Gemini and Google Workspace apps while keeping their sensitive data private.

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session
Himanshu Mehra (Group Product Manager) , Kamala Subramaniam (Director, Software Engineering) , Satish Kondalam (Solutions Product Manager)

Distributed applications across cloud require better performing, highly reliable and secure networks to run efficiently. As organizations adopt distributed cloud architectures across regions, the network design is critical to ensure that distributed applications can securly connect and scale to deliver best business results. In this session, we will share modern network designs, show demos utilizing existing and new products, and customer case studies.

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For many modern organizations, managing across hybrid, multicloud, and traditional on-premise applications efficiently has been challenging. Red Hat OpenShift and Google Cloud simplify your cloud journey with flexible and proven containerized compute capabilities.

In this session, we'll cover: -How you can leverage recent OpenShift on Google Cloud innovations -How you can improve business intelligence and insight with Arm and mixed-cluster support -How customers are leveraging OpenShift on Google Cloud to achieve success

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Unifying storage for your data analytics workloads doesn‘t have to be hard. See how Google Cloud Storage brings your data closer to compute and meets your applications where they are, all while achieving exabyte scale, strong consistency, and lower costs. You'll get new product announcements and see enterprise customers present real-world solutions using Cloud Storage with BigQuery, Hadoop, Spark, Kafka, and more.

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More customers are moving their critical workloads to Cloud SQL for SQL Server to take advantage of built-in high availability, data protection, security, and integration with other Google Cloud services. In this session, we’ll explore new capabilities that make it easier than ever to manage and scale your SQL Server databases with Cloud SQL, and we’ll dig into how to minimize downtime during migration using the Database Migration Service.

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Unlock the full potential of your cloud journey without sacrificing security. This session showcases the latest network security innovation from Palo Alto Networks and Google Cloud, designed to elevate your cloud security posture with unmatched ease of use. Join us and discover the next generation of Google Cloud network firewall protection. Watch a solution overview and customer use-case discussion on an offering that provides a cloud-first, easy to deploy operation, powered by Palo Alto Networks’ threat prevention technologies. Please note: seating is limited and on a first-come, first served basis; standing areas are available. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Come to this fireside chat with Seth Vargo to learn more about the ultimate hybrid cloud use case. We'll explore use cases where Alphabet products run on some of your favorite Google Cloud offerings such as Google Kubernetes Engine (GKE). Why don't we run everything at Alphabet on Google Cloud? Why do some products run partially on cloud? How do Alphabet engineers take advantage of products like GKE, Cloud Run, Vertex AI, and Gemini exposed over hybrid channels? We'll shed light on how our internal innovation influences the products available to our customers and vice-versa.

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In an industry that has been hit by change over the last two decades, media companies were forced to do two things: adapt or die. In this session, you will learn how US News and World Report, founded as a media company in 1933, chose to put their customers first and implemented Vertex AI Search. After launching the feature for only a few weeks, US News saw a double digit impact in key metrics like click-through rate, time spent on page, and traffic volume to its pages. Join us to learn how US News pulled it off with Google Cloud!

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demo
Kennith Jackson (Director, Professional Services (Industries)) , Liz Raymond (Senior Generative AI Engineer, Google Cloud Consulting) , Carlos Timoteo (Solutions Architect) , Enrique Chan (AI Consultant, Google Cloud Professional Services) , Nick Feller (Solutions Manager, Analytics and AI)

This interactive Q&A session provides a unique opportunity to engage with the minds behind GenAI innovations in marketing and website modernization. Directly converse with the creators and client teams who are using these solutions to drive significant business outcomes, offering insights into practical applications and success stories. Join us for this Mini Talk at 'Meet the Experts, hosted by Google Cloud Consulting' at Expo. Seating is limited and on a first-come, first served basis; standing areas are available.

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In this session, Fortinet and Google Cloud will jointly present on how Fortinet's AI-powered security solution integrated with Google Cloud's native security services can help organizations make better informed decisions, rapidly respond to threats, and save time on even the most complex tasks. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

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Generative AI offers the opportunity to transform the manufacturing and automotive industries. In this session, we will share Google Cloud's perspective and specific use cases that can boost productivity and operational efficiency. The session will also feature customer success stories and a discussion with organizations at the forefront of generative AI use.

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Get a behind-the-scenes look at Walmart's data and AI platform. We'll dissect their use of BigQuery, Spark, and large language models to run complex multi-modal data pipelines. We will deep dive into the choices with various engines (SQL, pySPARK) and technologies along with the corresponding tradeoffs. Gain exclusive insights to implement into your own projects.

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When building an application in the cloud one must be mindful of all the integrations, governance, security, and manageability aspects. In this session, Devoteam experts will share how they support Google Cloud customers by designing and implementing a self-improving and self-healing architecture using an event-driven observability solution that provides well-governed self-service for developers. Telemetries are collected from multiple sources, such as hybrid cloud and on-premise applications.

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Learn to connect large language models (LLMs) to real-world data and external knowledge sources with LangChain's open-source capabilities integrated with Vertex AI. Explore use cases such as natural language queries for interacting with Cloud SQL databases, complex workflow automation using Gemini function calling, interactive data-mapping and analysis, and enhanced chatbots using real-time data and tool integrations. Harness LangChain's flexibility with Gemini in Vertex AI's reasoning engine to unlock the true potential of generative AI and push boundaries.

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session
Colt McAnlis (Manager - Models & Services, Gemini for Google Cloud 1P [Platform]) , Reto Meier (Director, Gemini for Google Cloud 1P [Platform])

In this session, Gemini leads will cover the tips, tricks, insights and lessons learned from helping over 30-plus teams at Google Cloud build world-class developer productivity tools using generative AI. Session highlights include: the "secret sauce" behind GenAI Chat for both IDE and Cloud Console experiences; hidden “gotchas” behind code completion and generation experiences for over 21 languages; how developer teams have to change their processes when adding nondeterministic technology to their stack, and much more.

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session
Parashar Shah (Product Manager) , Ugo Obialo (Customer Engineer for AI and Data Analytics)

Unleash the power of artificial intelligence (AI) to maximize embeddings to solve your unique business challenges. Join experts from Google Cloud and Two Sigma for an exploration of Vertex AI's text and multimodal embedding capabilities. These models drive innovation across different industries and use cases.

Two Sigma and Google Cloud draw on previous work to review their derivation of a framework for objectively evaluating embedding models, then the application of this framework against a textual similarity task using the Massive Text Embedding Benchmark (MTEB).

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Build cloud solutions faster and smarter with Prompt Design in Vertex AI. Work your way towards earning a Google Cloud skill badge while being introduced to GenAI, powered by Google's advanced Gemini AI. Your session will include a presentation and hands-on practice with the learning labs included in this Skill Badge, followed by an overview of the requirements that will be evaluated to earn this credential. The challenge lab, to be completed after the session, takes the learner on a journey of crafting effective prompts, applying Gemini models to create new product descriptions in a real-world marketing scenario, and running, testing and modifying generative AI code using Jupyter Notebooks. Experience the future of cloud development today!

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Get a sneak peek at Mandiant's new "Incident Response in Google Cloud" course. This hands-on lab simulates a realistic attack where a compromised GKE node leads to data exfiltration. Participants will learn essential tactics by analyzing logs and investigating the attack within a live GCP environment. This course offers invaluable experience in detecting, responding to, and strengthening your cloud-native incident response skills against sophisticated threats.

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If left unmanaged, failures and infrastructure inefficiencies can account for as much as 45% of your compute resources and precious engineering time (according to a Stanford University study). In this session, we discuss how to measure and maximize machine learning (ML) productivity for large-scale training jobs, spanning tens of thousands of accelerators. We’ll demonstrate a canonical view of large-scale training infrastructure and patterns our customers are applying that are available to you today.

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OpenTelemetry is causing a groundswell of change in the observability space. Learn about OpenTelemetry as the new telemetry standard, how we leverage it on Google Cloud and beyond, and how to get started ingesting telemetry data from anywhere.

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