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. The conversation explores how AI-driven orchestration platforms, such as Control-M, move beyond simple automation to manage complex, interconnected workflows across hybrid and multi-cloud environments. Margles highlights how intelligent orchestration utilizes machine learning and AI agents to predict SLA risks, detect anomalies, and provide real-time remediation, shifting automation from a back-end efficiency play to a strategic business enabler. By automating repetitive tasks and enforcing rigorous governance standards, these systems allow IT teams to focus on high-value strategic planning and innovation while ensuring operational reliability in highly regulated industries like banking and manufacturing.
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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