Category: Technical How-to

Data powers groundbreaking generative AI; curate diverse, high-quality datasets to cultivate innovation, while mitigating risks and biases.

For more than a decade, organizations have embraced data lakes to overcome the technical limitations of data warehouses and evolve into more data-centric entities. While many organizations have used data lakes to explore new data use cases and improve their data-driven approaches, others have found the promised benefits hard to achieve. As a result, the […]

IT Infrastructure Library (ITIL) has changed IT for the worse. OK, now that I have your attention, let me be fair: ITIL has benefited many aspects of IT (e.g., help desks, infrastructure management, service delivery, etc.) by bringing structure, standards, and consistent, repeatable processes to what was previously a free-for-all. The problem is that IT […]

Many of my conversations with AWS customers are about their attempts to build developer experience platforms that simplify software development and operations, automate deployments, improve software quality, reduce costs, and ensure security and compliance. Unfortunately, not all platforms live up to their expectations. The most frequently cited problem is development teams rejecting the platform that […]

Become a high-performing software organization How do you become a high-performing software organization? It is more than just putting new tools in place to manage your CI/CD/CT pipeline. Doing so is like taking the skills you learned from riding a bike and applying them to Formula 1: it will not work. You need to apply […]

As an Enterprise Strategist at Amazon Web Services, I have spent the last 3 years of my professional life talking to leadership teams of financial services institutions (FSI) from across the globe. It’s always of great interest to me that while no two customers are alike, the challenges are near-identical the world over. From my […]