A major shift is happening in the data space and it’s not just AI. Handling the explosive growth of data while managing costs - all without compromising performance is pushing leaders to reevaluate Data ROI. In this session, we explore how Exponential-e, a leading cloud, networking and services provider, adopted strategies to minimize TCO for data integration and to create additional value with data. Learn how they deliver intelligent systems that are better connected with automated data pipelines and how to put this data to use using managed AI agents.

Looker’s AI-first analytics experience, with a conversational interface, enables all users in your organization to leverage trusted data and make better decisions. Discover how you can lay the foundations to deliver best-in-class conversational AI experiences. Join us, along with a cohort of your peers, to participate in discussions around foundational strategies for conversational AI and share existing use cases and experiences.

Managing hybrid environments across clouds, domains, and database platforms presents significant challenges in observability, scalability, and maintaining estate health. In this session, Peter Birch from Markel shares real-world insights in managing large database estates and its challenges, detailing how they leveraged Redgate Monitor to ensure visibility, optimize performance, and mitigate risks. Learn how to navigate the demands of hybrid infrastructure and cloud migrations, implement best practices for observability at scale, and overcome pitfalls in managing a diverse database estate.

SAP and Databricks recently announced their landmark partnership to simplify customer’s data landscapes. Join us to see how we are coming together to shift how applications and data platforms work together. From curated SAP data products to zero-copy integration, learn how SAP Business Data Cloud with SAP Databricks enables your data architecture of choice to deliver insights your business can trust.

Data is the fastest growing asset for every enterprise, and traditional rule-based systems are not delivering intelligent, context-aware security that adapts at speed to evolving threats while reducing operational overhead. Join Ash Hunt to explore how enterprises are revolutionizing data security through the transformative power of artificial intelligence. Drawing from extensive experience protecting Fortune 500 companies, Ash will share how AI-native solutions are powering real-time threat detection and automated risk remediation across complex cloud environments.

AI-powered Data Engineering Agents usher in a new era of data agility. Engage with Google Cloud and your peers to explore the implementation of autonomous data agents and their impact on enterprise agility. From automating data pipelines to ingestion to transformation, discover how to leverage autonomous data agents to build self-managing data ecosystems and accelerate the time from raw data to impactful decisions. This is where data's potential truly meets AI power.

Join us to learn how the Schwarz Group, the parent company of Lidl and Kaufland and the 4th largest retailer worldwide, leverages containerized Strategy in STACKIT for sustainable growth of their data and AI infrastructure. Over a decade-long partnership, Schwarz has utilized sovereign data and cloud services to maintain a competitive edge. Discover their use of Strategy, the last independent BI tool, with open data formats to avoid vendor lock-in. Get insights into delivering open and sovereign cloud solutions for their business lines and the EU, ensuring data independence and scalability.

Cloud has exposed the cost of individual workloads at a highly granular level. It is, in essence, a complex cost optimization problem. This session provides the tools for D&A leaders to understand how to manage and evolve cloud-operating models. We provide the foundations in the three rings of financial governance, and explore the state and future of FinOps.

Accelerating AI use cases demands strong data governance and many organizations struggle to manage complex, growing data volumes effectively. This session explores essential strategies for building a solid data governance foundation. Learn how organizations are overcoming common data governance obstacles, like data silos and inconsistent rules, to achieve measurable gains in data quality and efficiency. Through real-world examples, discover how unified data platforms can simplify data discovery, classification, and policy enforcement, leading to faster, data-driven decisions and reduced risk.

AI's potential depends on quality data. Many struggle with AI due to data governance or slow processes, especially with unstructured data. Join peers in discussing strategies for improving and governance to maximise AI potential, managing structured and unstructured data, connecting LLMs with enterprise data and data security best practices.

Discover why one-size-fits-all cloud approaches to AI often lead to cost inefficiencies, performance issues, and security risks. This session reveals how Private AI-building AI applications with enterprise data on infrastructure you control-delivers powerful insights without compliance concerns. Learn how Amdocs' true hybrid architectures optimize costs by deploying AI workloads where they make most sense financially and operationally in the monetization domain. Hear about Amdocs’ real-world implementation story and its vision for Private AI.

Data teams face pressure to deliver real-time business insights across finance, supply chain, HR, and beyond. They need apps that are fueled with AI recommendations and insights available in business terms. The key lies in adopting a business data fabric architecture that interoperates across multi-cloud landscapes. SAP’s data and analytics solutions serve as the foundation for this data fabric, delivering an integrated, semantically-rich data layer that ensures seamless and scalable access to data without duplication. Join us to learn how to build this crucial foundation for your AI applications.