| This is one of the more amusing stories I’ve read in a while. An Ireland utility company says that unencrypted data on four stolen laptops will be difficult to access because the machines require a username and password. “I don’t want to minimize the risk but this is not a normal laptop that you could break into that easily,” said Dave Bunworth, managing director of Bord G??¡is Energy. The stolen laptop in question contains account data on 75,000 Bord G??¡is’ customers. In the wake of this story, many security and It folks-pro and enthusiasts-have commented on the ease of yanking the hard drives and retrieving the data without ever tripping over a username/password challenge. And Bord G??¡is has redoubled efforts to ensure sensitive data is encrypted, which was the policy prior to the machines’ theft. While encryption is a good measure for protecting data in transit and at-rest, it’s not a panacea for all security woes. Access control, authentication and role- or user-based privileges ensure a greater degree of security policy enforcement granularity and data protection. While this seems simple, many organizations are still clueless about the necessity and benefits of multifactor authentication. |
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Link 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 Data
In 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 brands
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Link to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
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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 Orchestration
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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.
Link to Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
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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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Latest News - Resources Resource HubsFeatured ResourcesLink 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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