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.

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Additional Resources:

To find out more about Lisa and security research, visit Pallas Research

To connect with others on the topic, check out the Data Professionals community

SAP Trust Center: Data Protection & Privacy: SAP’s dedicated trust center resource covering data protection policies, privacy safeguards, and the security protocols SAP employs across its cloud ecosystem — directly relevant to the episode’s discussion of data visibility, shadow data, and keeping sensitive organizational data secure.

In this special episode of Let's Talk Cloud ERP, host Jennifer Frank McGrory welcomes IBM Consulting leaders Bill Pietrowski, Devraj Bardhan, and Jim Griffin to the podcast to discuss the latest developments in IBM's enterprise-wide cloud ERP transformation and the business value achieved since their last conversation.

The team shares how IBM has generated more than $4.5 billion in savings through a transformation strategy centered on process simplification, operational efficiency, and SAP modernization. Listeners will hear how IBM continues to advance its clean-core approach across finance, procurement, supply chain, and other critical business functions while creating a more agile and connected enterprise.

A significant portion of the discussion focuses on Human Capital Management and the role of SAP SuccessFactors within IBM's broader business transformation. The guests explore how integrating HR with SAP S/4HANA has improved workforce planning, governance, employee experiences, and manager self-service while reducing HR operating costs and accelerating response times across the organization.

The conversation also highlights IBM's AI-first strategy and how intelligent automation is being applied across HR, procurement, finance, and employee services. With more than 155 AI use cases deployed, IBM shares lessons learned around prioritization, change management, governance, and scaling AI responsibly to drive measurable business outcomes.

Whether you're leading a cloud ERP initiative, modernizing HR operations, or evaluating enterprise AI strategies, this episode provides valuable insights from one of the world's largest transformation programs.

Key Topics of Discussion:

• IBM's Cloud ERP Transformation Journey How IBM has generated more than $4.5 billion in value through process simplification, SAP modernization, clean-core principles, and enterprise-wide operational transformation.

• The Strategic Role of SAP SuccessFactors in Business Transformation Why IBM views Human Capital Management as a critical component of its ERP strategy and how integrating SAP SuccessFactors with SAP S/4HANA improves workforce planning, governance, and employee experiences.

• The "Eliminate, Simplify, Automate" Framework The framework IBM uses to evaluate business processes, reduce complexity, eliminate non-value-added activities, and prepare operations for automation and AI.

• Scaling AI Across the Enterprise Lessons from deploying more than 155 AI use cases across HR, procurement, finance, and supply chain, including how IBM prioritizes opportunities and measures business impact.

• Governance, Change Management, and the Future of Work How IBM balances innovation with governance, security, and data privacy while helping employees and managers adapt to new AI-powered workflows and digital ways of working.

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Connect With Devraj Bardhan

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Connect With Jim Griffin

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Connect With Jennifer Frank McGrory

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Don’t stop here – discover more:

Experience SAP Like Never Before: Cloud ERP Simulation Challenge:

https://events.sap.com/noam-cloud-erp-sim-vew/en_us/home.html

In this episode of the Let’s Talk Data Podcast presented by SAP, host Thierry Audas sits down with Jürgen Faisst and Kristian Rümmelin to explore how the International Business Communication Standards (IBCS) is transforming business reporting, dashboard design, and enterprise analytics.

The discussion highlights why inconsistent dashboards and reporting standards create confusion, slow decision-making, and reduce trust in analytics — especially in the age of AI and generative AI. The guests explain how IBCS establishes a common visual language for business reporting by standardizing charts, tables, colors, variances, and data storytelling conventions.

Listeners will learn how organizations can improve report comprehension, reduce interpretation errors, and accelerate executive decision-making using standardized analytics practices in SAP Analytics Cloud and SAP Business Data Cloud. The episode also explores the newly approved ISO 24896 notation standard for business reporting and what it means for the future of AI-driven analytics.

Practical guidance includes how to launch an IBCS initiative, build executive-ready dashboards, create reporting governance, and scale visualization standards across finance, supply chain, sales, and HR teams.

5 Key Topics of Discussion

• What Is IBCS and Why It Matters Understanding how standardized business reporting improves dashboard clarity, analytics consistency, and faster decision-making.

• The Role of AI in Business Reporting Why AI-generated analytics requires strong visualization standards and semantic consistency to avoid “scaling confusion.”

• SAP Analytics Cloud and IBCS Integration How SAP customers can operationalize IBCS standards using reusable templates, themes, dashboards, and reporting governance.

• ISO 24896 and the Future of Reporting Standards The impact of the new international standard for business reporting notation and its importance for enterprise analytics.

• Best Practices for Dashboard Design and Data Visualization Actionable strategies for CFO dashboards, KPI reporting, variance analysis, semantic consistency, and executive communication.

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Additional Resources:

www.ibcs.com www.ibcs.com/software/sap-analytics-cloud/