Tech Series – How technology decisions in enterprise organizations create hidden costs, and the architecture and governance patterns that prevent them. Tech: AI Prompting in Practice – The six-part prompt framework and workflows that turn average AI outputs into reliable,
Recently, I attended IBM’s Think conference in Boston. The conference is IBM’s space to share with customers the evolution of their products, solutions…and thinking. The show was incredibly well attended including a steady buzz on the expo floor. The announcements
IBM Think 2026 highlights a shift in IBM’s role in the AI economy, positioning the company as an enabler of enterprise AI architectures during a period of industry volatility. While many enterprises still view AI through the lens of large
Think about your smartphone. It’s easy to take for granted, but behind the screen lies a convergence of groundbreaking technologies—semiconductors, AI, cloud computing, GPS, encryption, blockchain, and 5G connectivity. Each component is powerful on its own, but together, they create
In a bold move that has drawn global attention, IBM has replaced hundreds of human resources roles with AI-powered systems, marking a turning point in how large enterprises approach workforce management. The decision is part of a wider trend where
At IBM THINK 2025, the message was unambiguous: meaningful progress in artificial intelligence hinges on foundational data quality and governance. In a conversation hosted by TheCUBE, IBM executives Scott Brokaw and Ed Calvesbert detailed the company’s strategic focus on unifying
As an IBM partner, I’ve always been excited by how IBM continues to evolve and push the boundaries of what’s possible with technology. I am particularly excited about the upcoming release of IBM watsonx, a groundbreaking, enterprise-ready AI and data
