- Average IT salary: Rose 4.74 percent to $80,006 between 2005 and 2006, the third highest in the nation. Source: Dice.com
- New York Regions IT Job Postings: 11,046 in August 2007; postings grew 22 percent between December 2006 and April 2007. Source: Dice.com
- IT Unemployment: Hovers around 4 percent. Source: Dice.com
- Hiring Outlook: 15 percent of New York area CIOs said they planned to make new IT hires in Q2 2007. Source: Robert Half Technologys IT Hiring Index
- New York States Total Tech Payroll: $23.1 billion, the third highest in the nation. Source: AeA Cyberstates 2007 Report
- New York States Job Market Health: Net loss of 800 jobs, one-quarter of one percent of the states tech industry workforce, in 2005. The largest job losses were in the telecommunications services sector, down 3,500 jobs in 2005. On the positive side, New York saw growth in several sectors including computer design and related services (+1,700 jobs), R&D and testing labs (+900 jobs), and defense electronics manufacturing (+600 jobs). Source: AeA Cyberstates 2007 Report.
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Ausgewählte Ressourcen
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
Accelerating time to value while powering data-driven engagement
Link to Dell’s Vrashank Jain on Enterprise AI Data Readiness and AI Data Platform Infrastructure
Dell’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 Orchestration
BMC’s Jennifer Margules on Intelligent Enterprise Orchestration
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
Global-First Finance: Building Scalable, Compliant Operations in an Uncertain World
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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