Discover how to integrate AI and Gen AI capabilities to unblock data quality issues, streamline the deployment processes of a data platform, and empower data teams to accelerate the development of customized data products. By automating data product and pipeline creation, infrastructure deployment, data quality, and PII controls, you can reduce engineering efforts by 30-40% and develop products three times faster. Learn how this approach has helped clients create data products faster and more cost-efficiently across various industries.

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Discover how to transition from legacy, siloed systems to a unified, scalable, and insights-driven data platform on GCP. This session will cover best practices for data migration, overcoming common challenges, and integrating SaaS and third-party solutions using key Google Cloud services like BigQuery, Data Fusion, Cloud Storage, Application Integration, Cloud Run, Cloud Build, and Artifact Registry.

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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.

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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!

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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.

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Join APAC leaders as they discuss key priorities and go-to-market stratgies for the region. This transformative era provides unique opportunities for Google Cloud to differentiate ourselves in the market and collaborate with partners to drive AI-led business transformations for customers. Our strategic partners will share insights and success stories on why customers choose Google AI and clear steps to becoming a top partner.

Exploration of the digitization of mid- and last-mile logistics handoffs, highlighting technologies that address industry inefficiencies and potential annual savings in the billions of dollars.

Are you curious about how generative AI enables leading retailers to go paperless and save millions? Do you want to know how gen AI propelled Formula E to break a world record? Join McKinsey's data scientists and QuantumBlack AI leaders to discover how organizations across industries are leveraging gen AI to capture value. Get insights and practical tips on how companies are putting gen AI-enabled solutions into production today.

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In this session, you will learn how you can leverage the most comprehensive and integrated enterprise-ready AI platform, Vertex AI, to unlock the power of foundation models, no matter the model's origin, first-party, third-party or even open. Engage in discussion with customers who have deployed production-grade generative AI with Vertex AI.

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Creating a business case to modernize applications has historically been a challenge. However, legacy systems need to be modernized to capture the full benefits of the cloud. McKinsey's LegacyX approach focuses on using generative AI to modernize applications faster and more efficiently. Learn how McKinsey is using genAI to streamline app modernization by automating discovery and documentation of functionality, creating target-state code, and performing unit and functional testing.

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Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.