Why Dashboards Die and Decision Loops Win
AI ROI is shifting toward Decision Velocity. Here’s why the shift matters now.

Technology Optimization advises CIOs seeking to invest in innovation and strategic advantage while optimizing the cost of providing ongoing support.
New economic realities and shrinking IT budgets necessitate that IT organizations become better at justifying new projects, more efficient in delivering IT services, and smarter at adopting new technologies that can deliver business value while reducing costs.
Organizations must work together to optimize the cost reduction that funds innovation, and learn how to balance the needs of business with the responsibilities of IT. Is your organization ready for the shift to innovation? Have you developed a strategy to fund innovation with optimization?
AI ROI is shifting toward Decision Velocity. Here’s why the shift matters now.
Dell Technologies said it adding more automation to Nvidia AI Factory deployments using blueprints that automate more than 30 manual steps and can get customers into deployment in as few as 10 clicks.
Frontline workers are having a moment as their importance in the age of AI grows across multiple sectors, including manufacturing and industrial enterprises, and organizations flatten. With all the talk of digital workers and AI agents taking jobs, frontline workers may wind up mattering more.
Discover the ideas redefining innovation, human skills, and the next era of AI.
Fortinet’s 25-year journey shows how thoughtful design choices and engineering depth built a unified platform that now connects networking, SASE, SOC, and cloud security. As hybrid deployments and AI workloads reshape enterprise architectures, that foundation is helping the company evolve toward a more solution-centric and SaaS-driven future.
QAD | Redzone is looking to infuse AI, process intelligence and frontline worker empowerment as it looks be the ERP provider of choice for mid-market manufacturing companies. The goal: Provide the systems that reinvent manufacturing.
Cisco reported better-than-expected first quarter results, raised its outlook and said it landed more AI infrastructure orders from hyperscalers and posted strong networking growth.
Anthropic said it will invest $50 billion in building its own AI data centers in a partnership with Fluidstack. The first data centers will be built in New York and Texas with more sites on deck.
IBM launched its most advanced quantum processor, IBM Quantum Nighthawk, and announced its IBM Quantum Loom, an experimental processor that demonstrates all of the processor components for fault-tolerant quantum computing.
AMD projected compound annual revenue growth rates of 35% over the next three- to five years and said demand for AI infrastructure and its chip portfolio is strong.
This month unpacks the next wave of AI adoption against a backdrop of economic uncertainty, cautious optimism, and renewed discipline in enterprise technology investment.