In this episode of eSpeaks, host Corey Noles sits down with John Matthews, Industry Strategist for Healthcare and Life Sciences at Teradata, to explore how AI and modern data strategies can help healthcare organizations deliver faster, more personalized, and more connected patient experiences — without compromising trust, compliance, or security. Over a conversational ~30-minute interview, Matthews breaks down why patient experience is becoming a competitive differentiator, how fragmented EHRs and data silos create real operational and clinical friction, and what it takes to build a governed, scalable AI foundation — as well as the importance of Teradata’s partnership with AWS for improving patient experience. The discussion also looks at practical paths forward, including cloud-based analytics architectures that unify systems without “rip and replace,” and how organizations can build internal AI trust and literacy so clinicians feel empowered rather than replaced.
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
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Aktuelle Nachrichten - Ressourcen Ressourcen-HubsAusgewählte RessourcenLink to The Real AI Power Play: Who Controls Your Enterprise Data Layer? The Real AI Power Play: Who Controls Your Enterprise Data Layer?IT and data teams were promised that AI would make work easier. Instead, it's created new layers of complexity.Link to Building the Backbone of Agentic AI with Trusted, Context-Rich Data Building the Backbone of Agentic AI with Trusted, Context-Rich DataIn this 10-minute take video, Reltio Principal Solutions Consultant Guy Vorster explains how organizations can overcome fragmented data challenges to power AI agents.Link to IHG scales real-time, trusted data across global brands IHG scales real-time, trusted data across global brandsAccelerating time to value while powering data-driven engagementLink to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform InfrastructureDell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented data, weak metadata, slow pipelines, and poor data locality can stall AI projects before models ever reach production.
Link to BMC’s Jennifer Margules on Intelligent Enterprise OrchestrationBMC’s Jennifer Margules on Intelligent Enterprise OrchestrationIn this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldGlobal-First Finance: Building Scalable, Compliant Operations in an Uncertain WorldeSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly uncertain world. They explore how automation, AI, and integrated platforms are helping finance teams tackle today’s biggest challenges, from cross-border compliance and FX volatility to […]
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