The Top Ten Reasons Why Organizations are Turning to SAP HANA Cloud – AI Generated Podcast

What happens when a company with 100,000 employees needs to turn massive amounts of data into something everyone can actually use? In this episode of Let’s Talk Data, Bradley Vaslik sits down with Oliver Huth, Head of Platform and Engineering at SAP, to unpack SAP’s journey from a centralized data warehouse and thousands of dashboards to a scalable data product economy. Oliver shares the real-world challenges behind SAP’s transformation—including data silos, changing business demands, governance, and the struggle to give employees faster access to trusted data. The conversation explores how SAP Business Data Cloud, SAP Datasphere, and Databricks are helping SAP build a more flexible and reusable data foundation—and why data products are becoming increasingly important as AI changes the way businesses work. But there’s a bigger story: AI is only as powerful as the data behind it. Oliver explains why trusted enterprise data is becoming the critical foundation for analytics, applications, AI, and intelligent agents—and why measuring data product adoption and reuse may be one of the most important metrics for modern data teams. A practical conversation about data strategy, governance, AI, and what it takes to make enterprise data truly work at scale.

In this episode of Let’s Talk Data, host Venkata Giduthuri sits down with Justin Lynch, SAP Data Architect Program - Americas Regional Lead, to discuss the modernization journey with SAP Business Data Cloud for on-premises SAP BW, SAP BPC, SAP BusinessObjects, and SAP HANA systems to embark on the Autonomous Enterprise journey. The conversation specifically focuses on what it takes to modernize SAP BW with SAP Business Data Cloud. Justin outlines the importance of the modernization journey and how it differs from migration. The discussion highlights options for modernizing SAP BW to take advantage of the latest AI innovations in SAP Business Data Cloud. The key highlight is the process of readiness assessment, getting into the details of how the information is collected and analyzed, taking into consideration various complexities built by the customers over the years. Finally, Justin shares the benefits customers gain from the latest innovations in SAP Business Data Cloud after the migration, such as data products and knowledge graphs, which are the foundational elements of an autonomous enterprise platform. Whether you are a BW engineer, NetWeaver administrator, enterprise architect, data architect, or platform engineer, this episode offers valuable insights into how to choose the best path for modernization with SAP Business Data Cloud to build for AI-driven architectures. Key Topics of Discussion:

In this episode of SAP Let's Talk Data Podcast, host Corrie Birkenes is joined by Ridwan Bhuiyan, Vice President of Digital Products at Chubb, and Tina Rosario, Chief Data Officer at SAP, for an insightful conversation on how data is transforming sustainability, resilience, and business decision-making. Ridwan shares his unique journey from environmental science to leading digital transformation initiatives, explaining how data quality, governance, and collaboration became the foundation for solving complex business challenges. Together, he and Tina explore why successful sustainability programs depend on trusted, high-quality data rather than technology alone. They discuss breaking down organizational silos, treating data as a strategic product, and creating modern data foundations that empower better decisions across the enterprise. The conversation also highlights the growing importance of geospatial analytics, external data integration, and cross-functional collaboration to measure environmental impact and climate resilience. Finally, they examine the opportunities - and responsibilities - that come with AI, emphasizing the need to balance innovation with sustainable resource consumption and long-term thinking. Whether you're a data leader, sustainability professional, or executive looking to build a more resilient organization, this episode offers practical insights into using data to drive meaningful business outcomes while preparing for the challenges of tomorrow.

What does it really take to become a data-driven organization? In this episode of Let's Talk Data, host Corrie Birkeness is joined by data strategy expert Shelly McQuigg and SAP Product Marketing Director Kara Reed for a practical discussion on building a successful data strategy that delivers measurable business value. Together, they explore why effective data strategies must begin with business outcomes—not technology—and how trusted, governed data is the foundation for analytics and AI success. Shelly and Kara share lessons from decades of experience leading enterprise data initiatives, including standardizing global KPIs, establishing executive sponsorship, and creating governance models that balance control with business agility. They explain why data professionals need both technical expertise and business knowledge to influence organizational change and drive adoption. The conversation also examines how modern data architectures, including data fabric, enable organizations to create a single definition of the truth without physically centralizing data. Finally, the discussion turns to AI, highlighting why data quality, governance, and trusted information have become more critical than ever before. Whether you're a data leader, architect, analyst, or executive, this episode provides actionable guidance for creating a scalable data strategy that supports business growth, operational efficiency, and trusted AI initiatives.

In this episode of Let’s Talk Data, host Daniel Dukes of SAP America is joined by Lisa Horwich, founder of Pallas Research and a leading B2B tech qualitative researcher who interviews CISOs, data architects, and security professionals to surface actionable insights for technology companies. Lisa and Daniel explore how AI is fundamentally reshaping the cybersecurity landscape- from AI-powered phishing and expanded attack surfaces to risks like prompt injection, jailbreaking, and data poisoning. They also tackle the persistent challenge of shadow data and data sprawl, where sensitive information lives outside sanctioned IT infrastructure, making it nearly impossible to classify and protect. The conversation covers the spectrum of security tools available to organizations, from point solutions to holistic Data Security Posture Management (DSPM) platforms, and closes with key best practices: zero trust, least privileged access, multi-factor authentication, and using AI defensively to combat the very threats it enables.