Sponsored Content
Data Modernization for Strategic Decision-Making: What CTOs Need to Get Right
A recent IBM study of Chief Data Officers (CDOs) found that while 81 per cent say their data strategy aligns with their technology roadmap, only 26 per cent are confident it can support their Artificial Intelligence (AI) ambitions. This gap defines the challenge CTOs face today: bridging ambition with actual data readiness. Enterprises are not…
Cloud Strategy for AI: Insights from EY’s Global Vice Chair
Scaling AI Architecture: Discover how organizations can build a future-ready cloud strategy for AI, from architecture and governance to workforce transformation. As AI workloads grow in scale and complexity, the real challenge for enterprises is no longer adoption – it is building environments where AI can operate efficiently, scale responsibly, and deliver tangible business impact….
CTO Nick Kraft on Leading at Scale in the Age of AI
Leading engineering teams at scale: This interview explains how modern CTOs scale teams, balance innovation with reliability, and build AI systems designed for trust and long-term growth. Modern CTO leadership is no longer defined by technical brilliance alone. Today’s CTO operates at the intersection of architecture, culture, risk management, product velocity, and AI reliability –…
Subscribe to our newsletter
AI-Driven Healthcare: Turning Insights into Action with Nasim Afsar
Making AI-driven Healthcare Work: This interview explains how AI in healthcare can go beyond explaining data to driving better outcomes. It talks about better data integration, redesigned workflows, and stronger collaboration across the healthcare ecosystem. The growing use of AI chatbots in healthcare is making medical information easier to access and understand than ever before….
How Backend Architecture Quietly Drives E-Commerce Revenue
Talk to any head of marketing or UX lead in e-commerce about boosting revenue, and you’ll hear familiar themes: optimize ads, personalize interfaces, A/B test checkout flows. These are important. But they only scratch the surface. For every dollar spent on acquisition or conversion optimization, your backend sits quietly underneath – shaping whether that dollar…
CTO Jennifer Wimberly on Operationalizing AI in Aviation
Scaling Intelligent Systems in Mission-Critical Operations: Discover how leaders are operationalizing AI in the aviation industry to make faster decisions and leverage decades of operational expertise. In high-stakes industries like aviation, where every decision affects time, safety, and client experience, the role of AI extends far beyond automation. Today, intelligent systems are enabling these sectors…
Artificial Intelligence Governance in the Age of Exponential Technology with Dr. Andrea Bonime-Blanc
AI and Tech Leadership This 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….
AI and Healthcare: Adrian Jennings, Chief Product Officer at Cognosos, on Scaling RTLS in the Post-AI Era
AI and Tech Leadership: This 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….
Operational Resilience is Not a Dashboard: Mahesh Paolini-Subramanya on DORA and Bank Architecture
AI and Tech Leadership This 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….
Here’s Why AI Literacy Is Now a Core Engineering Requirement
There was a time when AI lived on the margins of the enterprise. A small data science team ran experiments. A proof-of-concept sat in a lab environment. Most engineers built deterministic systems and left probabilistic ones to specialists. That separation no longer exists. Today, AI is woven directly into engineering workflows. Developers use generative tools…