Let’s Talk Data: Business Technology Podcast | SAP

Let’s Talk Data
  • 5,0 (8)
  • TECNOLOGIA

Exploring SAP’s business technology platform and success with our revolutionary data tech. Discover key solutions and technologies that power SAP’s Business Technology Platform by listening in on conversations with partners, developers, and innovators across the SAP ecosystem. Get real-world stories and stats on topics like data governance, data integration and orchestration, machine learning, all things database, enterprise architecture, and more.

  1. HÁ 1 DIA

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

    Don’t have time to read The Top Reason Why Organization Choose SAP HANA Cloud? Well you’re in luck! Step into the future of business innovation with SAP HANA Cloud! In this AI generated episode of The Let’s Talk Data Podcast, we unveil how SAP’s in-memory cloud database is revolutionizing the way organizations harness their data. This isn’t just another database—it’s a game-changing platform that unifies structured and unstructured data, powers AI workloads, and delivers real-time insights, all while slashing complexity and simplifying infrastructure.  You’ll hear the 10 powerful reasons why leading businesses are making the switch: from multi-model capabilities that eliminate juggling multiple databases, to true multi-cloud freedom across AWS, Azure, Google Cloud, and beyond. Discover how intelligent data tiering saves costs without sacrificing performance, and how built-in engines for vectors, graphs, and spatial data supercharge the development of smarter applications.  But that’s not all—SAP HANA Cloud also delivers native AI capabilities, elastic scalability, seamless data integration, enterprise-grade security, and even AI-powered automation that transforms database administration into a strategic advantage. And for developers? The SAP Build ecosystem brings no-code, low-code, and pro-code development together, accelerating innovation at every level.  Don’t miss this episode! Find out how SAP HANA Cloud can help your business move faster, modernize infrastructure, and unlock the full power of your data today.    Key Topics of Discussion:  Multi-Model Data Management – Unifying relational, JSON, spatial, graph, and vector data in one platform for faster insights and simplified applications.  Cloud Flexibility & Scalability – Multi-cloud deployment across AWS, Azure, Google Cloud, and more, with elastic scaling to handle unpredictable workloads.  Cost-Optimized Storage – Intelligent data tiering that balances hot, warm, and cold storage while keeping access seamless for users.  AI at the Core – Native vector support, semantic search, and retrieval-augmented generation to power smarter business applications.  Developer & DBA Empowerment – SAP Build’s no-code to pro-code ecosystem plus AI-powered DBA tools that reduce manual work and accelerate innovation.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Additional Resources:  Read the brochure, Top 10 reasons organizations chose SAP HANA Cloud: http://bit.ly/4pqNOs4  What’s the potential value of SAP HANA Cloud for your organization? Complete this short assessment: http://bit.ly/46oekJO  Learn more about SAP HANA Cloud: www.sap.com/hana

    15min

  2. 3 DE JUN.

    Driving Innovation in Modern Enterprises with SAP Business Suite in the AI-Era

    In this insightful episode of the SAP Cloud ERP podcast, host Jennifer Frank McGrory, SAP Go-To Market Lead sits down with David Robinson, President and Chief Revenue Officer of SAP Cloud ERP. They discuss how SAP is helping businesses unlock growth and innovation through the SAP Business Suite. With 25+ years of ERP experience, David shares his perspective on SAP’s evolution from on-premise systems to a future-ready, AI-powered cloud platform.  Jennifer and David dive into how SAP’s “AI-first” and “suite-first” strategy is delivering real value for customers—enabling faster decision-making, operational resilience, and scalable transformation. They explore the critical role of simplification and standardization in driving agility and reducing technical debt, while also addressing the top challenges companies face on their cloud journey.  Packed with real-world insights, this conversation highlights how customers are accelerating innovation by shifting resources from maintenance to strategy. Whether you’re a CIO, IT leader, or business executive navigating digital transformation, this episode offers actionable takeaways for thriving in today’s fast-changing enterprise landscape.    Key Topics of Discussion:  SAP Cloud ERP Strategy - How SAP is simplifying the ERP journey with a cloud-first approach that supports agility and long-term innovation.  Customer Challenges and Opportunities – David Robinson shares insights into the common challenges companies face when moving to the cloud and how SAP helps turn them into transformation wins.  The Role of Artificial Intelligence in ERP – A look at how embedded AI within SAP Cloud ERP enables predictive analytics, process automation, and better decision-making.  Industry and Line-of-Business Innovation – Discussion on how SAP Cloud ERP tailors its solutions for specific industries and business functions to deliver targeted value.  Business Transformation with SAP Cloud ERP – Real-world examples and success stories that highlight how organizations are leveraging SAP Cloud ERP to drive digital transformation and competitiveness.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With David Robinson  Linkedin  Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Value Exploration Workshop - a hands-on gamified SAP S/4HANA Cloud simulation experience.  SAP Cloud ERP Simulation, a Value Exploration Workshop   5 Minutes with....Glen Moffatt on The Renaissance of ERP: https://bit.ly/3Eeefvr    SAP has a Cloud solution for every organization, learn more: https://bit.ly/3NOkoln

    31min

  3. 15 DE MAI.

    The Future of Enterprise AI starts with Knowledge Graphs – Powered by SAP HANA Cloud

    In this insightful episode of the Let’s Talk Data Podcast by SAP, host Niklas Siemer is joined by Shabana Samsudheen to explore the exciting new Knowledge Graph Engine in SAP HANA Cloud. The conversation dives deep into what knowledge graphs are, how they transform data analysis, and the value they unlock for organizations already using HANA Cloud—or considering it.  Together, they break down key concepts like multi-model data processing, real-time insights, and the seamless integration of relational, document, spatial, and graph data. Shabana shares practical guidance on how to model, build, and use knowledge graphs effectively, including how to enhance AI applications like recommendation systems, search engines, and large language models (LLMs).    Key Topics of Discussion:  What Knowledge Graphs Are and Why They Matter  Explanation of knowledge graphs, how they differ from traditional data models, and their role in connecting entities and relationships for deeper data insights.  Using Knowledge Graphs in SAP HANA Cloud  How SAP HANA Cloud supports multimodal data processing and allows seamless integration and analysis of knowledge graph data alongside other data types.  Creating and Managing Knowledge Graphs  Steps to build knowledge graphs manually or with tools like LLM-based extractors, and how to store, query, and analyze them using HANA Cloud’s high-performance engine.  Business and AI Use Cases Powered by Knowledge Graphs  Real-world applications in search engines, recommendation systems, and enterprise AI—highlighting how knowledge graphs enhance performance, context, and accuracy.  Future Trends and Strategic Importance of Knowledge Graphs  Predictions for the evolution of knowledge graphs, including real-time graph processing, graph-based reasoning, and integration with large language models for next-gen AI.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Niklas Siemer  Linkedin  Connect With Shabana Samsudheen  LinkedIn    Additional Resources:  Learn more about SAP HANA Cloud at www.sap.com/hana  Explore with the Knowledge Graph overview blog: https://community.sap.com/t5/technology-blogs-by-sap/connecting-the-facts-sap-hana-cloud-s-knowledge-graph-engine-for-business/ba-p/13888597  See what else is new with SAP HANA Cloud: https://community.sap.com/t5/tag/whatsnewinsaphanacloud/tg-p

    35min

  4. 17 DE ABR.

    The Evolution and Impact of AI in eSports: How SAP BTP Keeps Team Liquid One Step Ahead

    In this episode of SAP Let’s Talk Data, host Daniel Dukes sits down with the 2024 Dota 2 World Champions—Team Liquid—for an exclusive behind-the-scenes look at how data is redefining competitive eSports. Joining the discussion are Team Liquid’s Dota (Defense of the Agents) analyst and coach Mathis Friesel (Jabbz) and Dota player Samuel Svahn (Boxi), along with SAP Dota Developer Maik Vogt. The conversation unpacks how real-time analytics, rapid innovation, and co-developed tools give Team Liquid a winning edge.  Discover how SAP BTP (Business Technology Platform) and SAP HANA Cloud powers fast adaptation to game-changing patches, enables strategic insights from complex in-game data, and supports smarter decision-making in high-pressure scenarios. From tracking opponent patterns to responding to meta shifts, Team Liquid shares how data agility is critical at the highest level of play.  The episode also dives into the evolving role of AI in eSports, spotlighting advanced tools like draft simulators, team fight detection, and SAP Joule—an AI assistant that helps teams explore strategies through natural language interaction.  Whether you're a tech leader, eSports fan, or curious about the future of AI-powered performance, this episode is a deep dive into how cutting-edge data innovation is reshaping the competitive landscape—one play at a time.      Key Topics of Discussion:  Real-Time Data Analytics for Competitive Edge  Discover how Team Liquid uses SAP’s data and analytics platform to gain strategic insights from live Dota 2 match data, helping them prepare smarter and outmaneuver opponents.  Adapting to Constant Game Changes  Learn how frequent Dota 2 patches impact gameplay and data workflows—and how SAP Business Technology Platform enables fast, flexible responses to maintain analytical accuracy.  AI’s Growing Role in Esports  Explore the potential of artificial intelligence in gaming, from OpenAI bots to tools like draft simulation, team fight detection, and the development of SAP Joule, an AI assistant for team prep.  Real-World Wins with Data  Hear how Team Liquid used data to uncover warding patterns and exploit early-game weaknesses—real examples of how analytics have led to success on the world stage.  Behind the Scenes of SAP x Team Liquid Innovation  Get a look at how Team Liquid and SAP co-innovate—from developing new features to adapting existing tools for evolving gameplay and competitive needs.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Mathis Friesel  Linkedin  Connect With Daniel Dukes  LinkedIn  Connect With Team Liquid  LinkedIn    Additional Resources:  Learn more about the AI Draft Bot and Team Liquid’s relationship with SAP on our website – where you can read the feature story and watch videos about our work together: https://bit.ly/42HY05X  Learn more about SAP HANA Cloud and Intelligent Data Applications: https://bit.ly/3ReSUrF

    44min

  5. 15 DE ABR.

    Inside IBM’s Hybrid Cloud & AI Powered Evolution The SAP S4/HANA Journey Part 2

    In Part 2 of the latest Let’s Talk Cloud ERP podcast, host Jennifer Frank McGrory continues her chat with Bill Piotrowski and Chris Perry of IBM about IBM’s ambitious transformation journey as it modernizes its global operations with SAP S/4HANA. Over 18 months, IBM executed a complex migration using an innovative Rapid Discovery approach, combining selective data migration, automation, and AI-driven tools to streamline the process.  Led by IBM Consulting, the transition leveraged SNP’s Bluefield methodology, Smart Shift automation for code remediation, and Tricentis for rigorous testing. IBM also partnered with SAP Rise and IBM Power VS Cloud to ensure a scalable and high-performance infrastructure. The discussion highlights the importance of execution rigor, including multiple mock migrations and test cycles to mitigate risks.  Listeners will gain valuable insights into key lessons learned, including the need for a clear business-aligned strategy, automation-driven efficiencies, and strong partnerships. The episode serves as a guide for enterprises looking to modernize their IT landscapes, demonstrating how hybrid cloud, AI, and automation can accelerate transformation. Whether you’re an IT leader or a business executive, this episode provides actionable takeaways for a successful SAP S/4HANA migration and broader digital transformation.    Key Topics of Discussion:  IBM’s Strategy for SAP S/4HANA Migration – How IBM aligned its transformation with its hybrid cloud and AI vision, emphasizing business value and agility.  Rapid Discovery & Selective Data Migration – The innovative approach IBM used to streamline migration, leveraging SNP’s Bluefield methodology and AI-powered automation.  Execution Rigor & Risk Mitigation – The importance of multiple mock migrations, testing cycles (using Tricentis), and automation (Smart Shift) to ensure a smooth transition.  Hybrid Cloud & AI Integration – How IBM optimized its SAP landscape using IBM Power VS Cloud and SAP Rise, enabling scalability and performance improvements.  Key Lessons & Best Practices – Actionable takeaways for enterprises planning an SAP S/4HANA migration, including automation strategies, execution best practices, and strategic partnerships.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Bill Piotrowski  Linkedin  Connect With Chris Perry  Linkedin   Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Value Exploration Workshop - a hands-on gamified SAP S/4HANA Cloud simulation experience.  SAP Cloud ERP Simulation, a Value Exploration Workshop  5 Minutes with....Glen Moffatt on The Renaissance of ERP: https://bit.ly/3Eeefvr   SAP has a Cloud solution for every organization, learn more: https://bit.ly/3NOkoln  North American Manufacturing Excellence Summit April 14-16: https://bit.ly/4hVy8bu  IBM Think Conference: https://bit.ly/4j1sZ2m  SAP Sapphire – Orlando and Madrid: https://bit.ly/4c7Dz5I

    24min

  6. 27 DE MAR.

    Inside IBM’s Hybrid Cloud & AI Powered Evolution: The SAP S4/HANA Journey

    In Part 1of the latest Let’s Talk Cloud ERP podcast, host Jennifer Frank McGrory chats with Bill Piotrowski and Chris Perry of IBM about IBM’s ambitious transformation journey as it modernizes its global operations with SAP S/4HANA. As a tech giant with a complex enterprise landscape, IBM is leveraging cloud, AI, and automation to enhance efficiency, agility, and innovation.  Join us as we dive into why this shift was necessary, the challenges of migrating from legacy systems, and how IBM is embracing hybrid cloud technology to drive business value. We uncover the strategies IBM is using to integrate AI-powered automation, streamline financial processes, and optimize supply chain operations, all while ensuring business continuity.  Listeners will gain insights into IBM’s partnership with SAP, the benefits of a modern ERP system, and the lessons learned from one of the largest enterprise transformations in the industry. Whether you’re an IT leader, business executive, or tech enthusiast, this episode provides valuable takeaways on digital reinvention, enterprise modernization, and the future of intelligent business operations.  Tune in to hear how IBM is redefining the enterprise IT landscape and setting a new standard for digital transformation.   Part 2 coming soon!    Key Topics of Discussion:  IBM’s Decision to Move to SAP S/4HANA – The strategic reasons behind IBM’s migration, including the need for modernization, efficiency, and alignment with digital transformation goals.  Implementation Challenges and Lessons Learned – Insights into the complexities of transitioning from legacy systems, overcoming obstacles, and key takeaways from IBM’s experience.  The Role of Hybrid Cloud and AI in the Transition – How IBM leveraged hybrid cloud and AI-driven automation to enhance scalability, agility, and performance throughout the migration process.  Impact on Business Operations and Efficiency – A discussion on how SAP S/4HANA has improved IBM’s workflows, decision-making, and overall operational effectiveness.  Future Vision and Next Steps – What’s next for IBM after this transformation? Exploring continuous innovation, emerging technologies, and how SAP S/4HANA will support IBM’s long-term strategy.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Bill Piotrowski  Linkedin  Connect With Chris Perry  Linkedin  Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Value Exploration Workshop - a hands-on gamified SAP S/4HANA Cloud simulation experience.  SAP Cloud ERP Simulation, a Value Exploration Workshop  5 Minutes with....Glen Moffatt on The Renaissance of ERP: https://bit.ly/3Eeefvr   SAP has a Cloud solution for every organization, learn more: https://bit.ly/3NOkoln  North American Manufacturing Excellence Summit April 14-16: https://bit.ly/4hVy8bu  IBM Think Conference May 5-8: https://bit.ly/4j1sZ2m  SAP Sapphire – Orlando and Madrid: https://bit.ly/4c7Dz5I

    24min

  7. 26/12/2024

    From Tradition to Technology: How Blue Diamond is Shaping the Future of Almond Farming

    The episode features Jennifer Frank McGrory speaking with Steve Birgfeld, Vice President of IT and Services of Blue Diamond Growers., a leading agricultural cooperative and almond processor. They discuss the company's journey through digital transformation and the role of technology in enhancing its operations, customer experience, and market reach. Steve and Jen dive into how Blue Diamond Growers embraced digital transformation to address industry challenges, improve efficiency, and meet customer expectations. It offers valuable lessons for organizations in agriculture and beyond, showcasing the potential of technology to drive growth and sustainability while honoring legacy and tradition.   5 Key Topics of Discussion: Digital Transformation is Essential for Growth and Efficiency: Embracing modern technologies like cloud-based platforms, data analytics, and predictive tools can significantly enhance operational efficiency, supply chain transparency, and product quality in the agriculture industry. Balancing Tradition with Innovation: Successful digital transformation in agriculture requires blending innovative technologies with a company’s legacy values, ensuring that tradition and sustainability are preserved while evolving to meet modern demands. Sustainability is a Core Driver: Technological advancements support sustainability initiatives such as water conservation, reducing carbon footprints, and promoting ethical farming practices, reinforcing the importance of environmental responsibility in the digital age. Cultural and Organizational Shifts are Key to Success: A successful digital transformation journey requires overcoming internal challenges, such as cultural shifts, engaging stakeholders, and aligning teams around common goals. Ongoing Process and Continuous Improvement: Digital transformation is not a one-time project but an ongoing journey. It’s crucial to start small, test solutions, learn from experiences, and scale what works to achieve long-term success.   Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube     Connect With Steve Birgfeld  Linkedin    Connect With Jennifer Frank McGrory  LinkedIn    Don’t stop here – discover more:  Value Exploration Workshop - a hands-on gamified SAP S/4HANA Cloud simulation experience. Catch the last workshop for 2024: https://bit.ly/41ilyOQ 5 Minutes with....Glen Moffatt on The Renaissance of ERP: https://bit.ly/3Eeefvr   SAP has a Cloud solution for every organization, learn more: https://bit.ly/3NOkoln

    26min

  8. 18/12/2024

    The Value of Automation in Master Data Management (MDM)

    In this episode of the SAP Let's Talk Data podcast, host Corrie Birkeness is joined by experts Andreas Seifried (Product Manager at SAP) and Kai Hüner (CTO of CDQ) as they discuss the critical role of automation and data quality in master data management (MDM). They dive into the value of automation in master data management (MDM) and the critical role of high-quality, trusted data in enabling reliable and efficient automation. They explore the challenges of manual data management, such as errors, inefficiencies, and delays, and highlights how automation can improve data accuracy, save costs, and support business growth.  Andreas and Kai also explain how their collaboration integrates CDQ's trusted data services with SAP's Master Data Governance (MDG) solution. They share examples of companies achieving faster processes, reduced compliance risks, and enhanced scalability through automation.     Key Topics of Discussion:  The Importance of Trusted, High-Quality Data - Trusted data is essential for reliable automation, compliance, and AI initiatives. The concept of "trusted data" emphasizes accuracy, traceability, and verified sources like tax authorities or trade registers.  Challenges of Manual Master Data Management (MDM) - Manual MDM is labor-intensive, error-prone, and causes inefficiencies, delays, and bottlenecks. Mistakes in master data lead to operational issues like delayed logistics, compliance failures, and rework costs.  Benefits of Automation in MDM - Automation reduces manual effort, errors, and compliance risks while improving speed and scalability. Examples highlight significant cost and time savings, such as reducing supplier onboarding from 50 minutes to 1 minute.  Collaboration Between SAP and CDQ - SAP MDG integrates with CDQ's trusted data services to enable seamless data lookup, enrichment, and validation. Simplified setup processes, like value mapping and trusted data sourcing, streamline automation implementation.  Features Supporting Automation in SAP MDG - Tools like derivation rules, rule mining, and AI-powered features enhance data accuracy and governance. These features help organizations automate repetitive tasks, reduce errors, and enable growth.    Subscribe to The Let’s Talk Data Podcast  Apple Podcasts  Spotify  YouTube    Connect With Corrie Birkeness  Linkedin  Connect With Andreas Seifried  LinkedIn  Connect With Kia Hüner  LinkedIn    Additional Resources:  CDQ Business Value Study: https://hubs.la/Q02YwW-_0   Enrichment of Business Partner Master Data using CDQ blog: https://community.sap.com/t5/technology-blogs-by-sap/mass-enrichment-of-business-partners-with-tax-and-id-numbers-found-using/ba-p/13915206   SAP Master Data Governance product page: www.sap.com/mdg  CDQ on the SAP Store: https://store.sap.com/dcp/en/product/display-2001000790_live_v1

    17min
Ver tudo (100)

Classificações e avaliações

5
de 5
8 avaliações

Sobre

Exploring SAP’s business technology platform and success with our revolutionary data tech. Discover key solutions and technologies that power SAP’s Business Technology Platform by listening in on conversations with partners, developers, and innovators across the SAP ecosystem. Get real-world stories and stats on topics like data governance, data integration and orchestration, machine learning, all things database, enterprise architecture, and more.

Informações

Você também pode gostar de