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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…
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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…
The Biggest Gen AI Myths Enterprises Still Believe
Generative AI has quickly moved from experimentation to the enterprise agenda. Organizations are using it to accelerate software development, improve customer experiences, streamline operations, and uncover new growth opportunities. Yet, despite the momentum surrounding GenAI, many organizations are still hesitant to fully embrace it. In most cases, this reluctance stems from the widespread Gen AI…
How AI Meeting Assistants Are Evolving From Note-Takers to Teammates
Meeting Intelligence: From meeting summaries to enterprise intelligence, discover how AI meeting assistants are reshaping workplace productivity and decision-making in modern organizations. In today’s corporate environment, meetings remain at the center of decision-making, collaboration, and execution. Yet much of the data generated during those conversations is often lost, forgotten, or trapped in individual notes. AI…
Why Alignment Beats Control When Scaling Tech Organizations
Scaling a technology organization is often viewed as a challenge of systems, processes, and operational maturity. Those elements matter, but they are not what determine whether an organization can scale effectively. As teams grow, complexity increases faster than documentation can keep pace. New situations emerge daily, priorities shift, and no playbook can anticipate every decision….