talk-data.com talk-data.com

Topic

interest-applied-ai

43

tagged

Activity Trend

38 peak/qtr
2020-Q1 2026-Q1

Activities

43 activities · Newest first

Creating a business case to modernize technology has always been challenging. Hear how McKinsey is using a multi agent architecture to automate complex software development flows efficiently and cost-effectively. See how gen AI agent squads are foundational for scaling workforce talent and enhancing organizational capabilities. Learn best practices and see real-world examples of how organizations are using a multi-agent gen AI approach to achieve faster, cheaper, and better results.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Join us to explore the next generation of in-car experiences. Discover how leading automakers are leveraging Automotive AI Agent and Google Cloud’s Gemini model to build cutting-edge, multimodal automotive assistants. Learn how to create unique brand experiences with customized voice assistants, complete data ownership, and personalized in-car interactions. This session will showcase the power of hybrid voice assistance and how you can unlock the potential for differentiated driver experiences through custom features and granular control.

Transform your AI research into real-world applications with Google’s latest tools. This session explores the seamless integration of the Gemini API, Google AI Studio, Gemma, and Kaggle to accelerate your development workflow. Learn how to build and prototype models effortlessly, leverage lightweight open models, and collaborate with a thriving community. Discover how to deploy your experiments in production using Cloud Run and Vertex AI. Join us to bridge the gap between research and reality with Google AI.

Google Cloud’s Contact Center as a Service (CCaaS) solution has powerful capabilities to modernize and transform contact centers. Learn about the unique features, including co-browse for visual agent assistance and multimodal interactions for seamless customer journeys across channels like voice, chat, and email. The session will also cover integrated quality management (QM) and workforce management (WFM) tools for optimizing agent performance and scheduling, and a robust security architecture featuring VPC Service Controls.

Explore the journey behind building the McKinsey Value Intelligence Assistant, bringing AI powered curation and insights to key business leaders by integrating dozens of datasets, filings and earnings call transcripts from 50K global companies. Gain insights into overcoming challenges in system architecture, data security, and real-time analytics to create a robust, cloud-native data intelligence platform with a small team in a short period time and the resulting business impact!

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

session
by Kiran Bellare (Google Cloud) , Mike McPoyle (Hershey Entertainment & Resorts) , Mary Grace Glascott (Google Cloud)

Generative AI is transforming retail consumer experiences, providing self-service opportunities through virtual agents that help customers find and purchase items, as well as inquire about order fulfillment, delivery and returns. In this session, learn how retailers are delighting customers at every touchpoint, with AI-powered experiences that, provide personalized engagement across digital and voice channels, turn every relevant interaction into a sales opportunity, and coach human agents to be their best selves and resolve issues efficiently.

session
by Zaib Rizwan (YouTube Business Technology) , Matthew Clare (Google Cloud) , Nitin Bisain (Youtube Business Technology) , Katherine Zhao (Google Cloud)

Empower employees to more efficiently and effectively handle customer interactions. Learn about the Agent Assist capabilities that provide real-time assistance and coaching to customer service employees. Discover how Conversational Insights and Quality AI can automate quality management, and provide data-driven insights to boost operational efficiency and agent performance. This session will dive into the new capabilities with product demos, expert guidance, and insights from customers who have deployed them in production.

Bad actors are sneaky, slippery, and getting smarter all the time. However, businesses now have a powerful new defense. Advances in AI offer opportunities to arm developers with information and tools to help mitigate risks. Join us as we share perspectives on design, considerations, and challenges when deploying AI to enhance security and improve efficiencies for developers.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

McKinsey estimates that AI could add over $4 trillion of value annually, yet only 1 percent of companies consider themselves AI-mature despite widespread investment. Join us to learn where the highest-value opportunities for agentic AI are and how to overcome barriers to scale. Hear how McKinsey is innovating with industry leaders to build agentic AI-enabled solutions that drive sustainable growth, operational excellence, and productivity.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

According to IDC, 67% of AI technology spend in 2025 will be enterprises embedding AI capabilities into core business operations. Learn how AI-enabled customer engagements, from search to customer care operations and insights, are helping organizations improve customer experience and employee productivity while lowering costs. In this session, we’ll discuss specific use cases and the business results customers have achieved.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

The Gemma family is growing. Discover the latest additions to this powerful collection of open models. This session explores new Gemma models, highlighting advancements in performance and capabilities for diverse AI applications. Learn about the expanding Gemma ecosystem, including tools, community resources, and model evaluation techniques to find the perfect fit for your project.

In today's rapidly evolving technological landscape, enterprises face significant hurdles in developing and implementing mission-critical AI applications such as agentic or physical AI. This session will explore how organizations can harness the power of NVIDIA DGX Cloud on Google Cloud, a high-performance, fully-managed AI platform, to accelerate the next era of AI. Learn how to drive innovation in an increasingly competitive landscape, and achieve lower TCO.

This Session is hosted by a Google Cloud Next Sponsor.
Visit your registration profile at g.co/cloudnext to opt out of sharing your contact information with the sponsor hosting this session.

Companies are improving customer experience and lowering costs with Google AI. Join this session to learn about our end-to-end customer engagement application that provides AI agents for self-service, agent assistance, and operational insights. Discover how you can achieve the same business impact our customers are realizing.

Join an insightful fireside chat with Jeff Dean, a pioneering force behind Google’s AI leadership. As Google's Chief Scientist at DeepMind & Research, Jeff will share his vision on AI and specialized AI hardware, including Cloud TPUs seventh generation chip; Ironwood. What exciting things might we expect this to power? What drives Google’s innovation in specialized AI hardware? In this spotlight, we’ll also discuss how TPUs enable efficient large-scale training and optimal inference workloads including exclusive, never-before-revealed details of Ironwood, differentiated chip designs, data center infrastructure, and software stack co-designs that makes Google Cloud TPUs the most compelling choice for AI workloads.