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AI Inference vs Training Is Rewriting 2026 AI Budgets
A few years ago, most conversations about AI budgets focused on training. How many GPUs would it take? How long would the training run last? Could the organization afford to build its own model? Those questions still matter, but they are no longer the ones keeping CTOs awake at night. The discussion has shifted. Today,…
Is China Tech Decoupling Splitting the Digital World?
For nearly twenty years, technology leaders believed the world was becoming more connected. Cloud platforms expanded across the globe. Software vendors entered every major market. Hardware supply chains stretched over continents. The main idea was to build once and deploy everywhere. Now, that belief seems much less certain. Trade disputes and export restrictions were just…
AI Regulation and Law are Moving Slow in a Machine-Speed World
Artificial intelligence is evolving at a rapid pace. Companies release new AI models constantly, expand capabilities with each iteration, and deploy AI-powered decisions that can affect millions of people almost instantly. Lawmakers, regulators, and courts often struggle to fully understand these technologies before businesses, workplaces, and everyday life deeply embed them. As a result, we…
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CTO of the Quarter: Corey Ercanbrack on Digital Transformation Leadership
CTO of the Quarter recognizes a technology leader whose vision, execution, and long-term impact are shaping the future of enterprise innovation. As CTO of cloud automation company Vasion, Corey Ercanbrack highlights something increasingly valuable and hard to come by: a leader who stays focused on building foundations that make breakthroughs scalable and implementable. His disciplined…
Is Cloud Data Sovereignty the End of the Borderless Cloud?
A few years ago, most discussions about the cloud focused on speed, scalability, and cost. Now, the first question many CTOs get is much simpler: Where exactly does the data live? This change highlights the current situation. Cloud data sovereignty is no longer just a legal issue. It now comes up in architecture reviews, procurement…
Are AI Governance Platforms Worth the Investment for CTOs?
Three years ago, compliance was mostly a calendar exercise. Security teams prepared for audits, legal teams reviewed policies, and executives paid attention only when a certification deadline was approaching. Compliance was important, but it rarely shaped day-to-day technology decisions. That has changed. Today, CTOs are dealing with a regulatory environment that moves almost as fast…
Shadow AI Is Inevitable. Here’s How Enterprises Can Stay in Control
Responsible AI: Shadow AI in enterprise is reshaping risk and governance. Learn how to balance innovation, accountability, and trust in AI adoption. AI adoption is moving faster than most governance frameworks can keep up. Across departments, employees are increasingly turning to AI tools to write content, analyze information, automate tasks, and accelerate decision-making—often without formal…
Are Small Language Models the Future of Enterprise AI?
The rise of artificial intelligence has come with some unexpected costs. For the past three years, many companies have focused on building bigger language models, thinking that more parameters would lead to better results. In reality, Small Language Models (SLMs) are now providing faster results, lower costs, and often better accuracy for about 70 percent…
Why Security Assumptions Can Be Riskier Than They Appear
Cyber risk management: This interview explains why security assumptions are no longer enough, how organizations can strengthen cyber resilience, and what leaders must do to prepare for prolonged cyber disruptions and AI-driven threats. For years, financial institutions treated cybersecurity primarily as a technology challenge – one centered on preventing breaches, meeting compliance requirements, and minimizing…
Is Enterprise AI Governance Ready for Global Rules?
For years, most discussions about artificial intelligence centered on its capabilities. Companies rushed to use generative AI, automate tasks, enhance customer experiences, and find new ways to be efficient. Governance was usually seen as a lower priority, left for legal and compliance teams to handle after products were built. That approach is becoming increasingly difficult…