From Cost Centre to Profit Centre: How AI Teams Demonstrate Business Impact
We look at how AI teams move beyond delivery metrics and prove measurable business value to executives and boards.
Dr. Joe Perez is a powerhouse in the IT and education worlds, with 40-plus years’ experience and a wealth of credentials to his name. From Business Intelligence Specialist at NC State University to Senior Systems Specialist/Team Leader at the NC Department of Health & Human Services (and Chief Technology Officer at CogniMind), Perez is at the forefront of innovation and process improvement. With more than 22,000 LinkedIn followers and a worldwide reputation as keynote speaker, data management/analytics expert, and prolific, bestselling author, Perez is a highly sought-after resource in his field. He speaks at many conferences each year, reaching audiences in over 20 countries across the globe and has been highly-ranked by prestigious Thought Leader communities. He was recently inducted into both the IIBA Hall of Fame and the United Nations Global Network of Data Officers and Statisticians and was selected to be a Distinguished Fellow in the Public Sector Network's Future Government Institute. When Dr. Joe is not working, he shares his musical talents and gives back to his community through his involvement in his church's Spanish and military ministries.
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We look at how AI teams move beyond delivery metrics and prove measurable business value to executives and boards.
We explore why AI adoption increasingly depends on enterprise architecture rather than AI capabilities alone.
We look at why AI agents are turning value management into a continuous enterprise discipline tied to cost, autonomy and business outcomes.
We explore why the UN is warning that AI development is moving faster than governments can regulate it.
We announce the Q2 2026 EM360Tech Quarterly Impact Index nominees and open voting across four categories of enterprise thought leadership impact.
The race to secure AI computing power is easily the defining technology battle of the decade.
We look at why understanding dependency chains is becoming just as important as preventing infrastructure failures.
We explain why AI use case management is becoming a critical discipline for governance, value creation, and long-term scalability.
Fireworks, Family, and the Framework for Data Governance
As AI-powered cybersecurity evolves, Mythos is raising new questions for defenders. Here's what the data, experts, and real-world testing reveal.
We explore reports that OpenAI has discussed giving the US government a 5% stake through a public ownership model.
“This report highlights real opportunities that rapidly advancing AI offers the world – in science, education, healthcare, agriculture, and productivity,” UN co-chairs stated.
We use football's growing use of AI-assisted officiating to understand where human oversight should sit in automated decisions.
You can’t protect what you can’t see. And you can’t recover what you don’t understand.
Ensure a fast recovery from ransomware attacks
We look at why autonomous security operations are emerging and what the shift means for enterprise security teams.
Stolen files have reportedly mapped hundreds of iPhone 18 Pro components to their specific suppliers. This is information Apple has never publicly disclosed, exposing both its sourcing strategy and its vulnerabilities.
The overall “bot index” in Q1 2026 stood at 1.97%, slightly below the average for the last nine months of 2025 (2.1%), but still notably high.
The comprehensive DDoS protection implemented by Qrator Labs allowed Ucom to significantly enhance the stability and resilience of its digital services within the first weeks of deployment.
We report on CXMT's major Tencent agreement and South Korea's latest semiconductor expansion plans.
Exploring why automation, not detection, is becoming the deciding factor in surviving AI-accelerated attacks.
We look at why accessibility is moving beyond compliance and becoming a core part of infrastructure resilience and service delivery.
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