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Talking AI and Fintech with Firdaus Bhathena, CTO at FIS
AI and Tech Leadership: TThis interview series is grounded in lived experience. It explores how technology leaders move AI from experimentation into day-to-day operations—where decisions carry real consequences for teams, customers, and the business. Through conversations with practitioners who have led transformations at scale, the series examines how AI reshapes execution, accountability, and outcomes. At…
The Hidden Operational Risk Lurking in Document Workflows
When technology leaders evaluate operational risk, document workflows are rarely at the top of the list. Cybersecurity, cloud spend, uptime, and AI governance dominate boardroom agendas, while file handling is often treated as background work — fragmented across employees, legacy systems, and disconnected tools. This oversight is creating a growing document workflow risk that many…
AI Deregulation Is Reshaping How AI Is Built: Cris Kinross Explains Why
AI deregulation shifts accountability: This exclusive interview explains how tech leaders can ensure AI is trustworthy, accurate, and compliant in critical systems. The move toward federal preemption in AI regulation promises to simplify compliance for enterprise tech leaders who’ve been navigating a patchwork of state-level rules. In practice, however, deregulation often creates more ambiguity. As…
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PWC AI Predictions 2026: The Future of AI-Driven Business
Artificial Intelligence is no longer just a promise on the horizon – it’s delivering measurable impact across industries. From streamlined operations to innovative customer experiences, organizations are turning AI potential into proven results. As we all re-engage with our AI strategy and goals for the new year, PwC’s AI Predictions 2026 reveal the patterns that…
The Agentic Orchestration Layer: The Missing Piece in Enterprise AI Stacks
Technical skills once meant knowing how to ship software reliably, scale cloud infrastructure, and secure enterprise systems. Today, those expectations have shifted again. For CTOs navigating Artificial Intelligence deployments, the challenge is no longer access to large language models or hiring an AI prompt engineer. It is coordination. Across enterprises, teams are rolling out autonomous…
AI-Native Architecture: What CTOs Get Wrong (and How to Fix It)
In recent years, the term AI-powered has become prevalent in enterprise technology discourse. By 2026, it is clear that most systems are not truly AI-native. Instead, they are legacy architectures with added AI features, a distinction with important strategic implications. Future competitive advantage will come from AI-native architecture, not from adding more models or advanced…
Why AI-Driven Data Upskilling Is Now a Core Business Capability
As AI becomes embedded in everyday business decisions, data skills are no longer optional or confined to analytics teams. Employees across functions have to interpret AI-generated insights, collaborate with intelligent systems, and apply data-driven judgment in real time. This shift is pushing organizations beyond traditional data literacy programs toward AI-driven data upskilling. It is a…
Cybersecurity Awareness: C‑suite Playbook for Navigating Risk
In a world where digital technologies underpin almost every aspect of our lives, cybersecurity has moved from being a niche IT concern to a strategic imperative for businesses, governments, and individuals alike. As we step into 2026, cyber threats are accelerating in scope and sophistication, making cybersecurity awareness more critical than ever. Advanced AI tools,…
Six Foundations of Data Readiness for AI Every Enterprise Must Get Right
Across enterprises, technology leaders are under pressure to accelerate AI initiatives and demonstrate tangible outcomes. Yet many organizations struggle to move beyond pilots or deliver sustained value. The root cause is rarely the AI itself—it is the lack of data readiness for AI. Executives are not only pushing for AI adoption but also asking their…
From Copilots to Autonomous AI Agents: Enterprise AI Changes in 2026
Enterprise AI is evolving from passive tools that await instructions to proactive systems that act with intent. This transition is subtly transforming organizational workflows in 2026. For most of the past decade, artificial intelligence in the enterprise has arrived politely. It waited for prompts and offered suggestions. It assisted, summarized, and recommended, never acting without…