Why Traditional Software Delivery Assumptions No Longer Hold For decades, engineering teams have operated under a reliable assumption: if software works today, it’ll work tomorrow. Agile frameworks encoded that confidence into a “Definition of Done” (DoD)—a checklist that signaled when an increment was shippable: tests are green, security checks pass, documentation is complete, and deployment […]
AI Didn’t Replace the Data Ingestion PM — It Changed What “Good” Means When people talk about AI reshaping technology roles, the conversation usually centers on automation, copilots, or generative assistants rewriting how work gets done. But in foundational engineering domains like data ingestion, the transformation has been far less dramatic—and far more meaningful. AI […]
Most organizations don’t struggle to start AI. They struggle to finish it. A pilot gets approved, a model gets trained, a demo looks good—and then everything slows down: handoffs between teams, unclear ownership, brittle data pipelines, no repeatable release process, and no reliable way to monitor performance once it’s live. The result is predictable: fewer […]
AI can already sound convincing. The harder test is: can it get work done—safely—across systems, across modalities, and increasingly in the real world? That changes the unit of value from answers to outcomes, and it forces a different set of enterprise choices: platform architecture, operating discipline, and responsible deployment. Two research signals clarify the moment. […]
When enterprises talk about “AI security,” the focus often narrows to jailbreaks, prompt injection, and hallucinations. The model is seen as the battleground. That’s understandable—and dangerously incomplete. In reality, most AI breaches don’t start with the model. They begin earlier: a poisoned dataset, a tampered training job, a compromised feature pipeline, or an inference endpoint […]
Why “LLM-as-a-Judge” is essential, risky—and how to use it right When teams demo AI agents, the storyline is familiar: a clean prompt, a neat answer, and confident nods across the room. But real-world agents aren’t tested in sanitized conditions. They face messy, ambiguous requests, incomplete context, policy constraints, and systems that don’t always behave as […]
Focusing exclusively on GenAI creates unnecessary risk. That’s not just a warning from Gartner — it’s something I’ve witnessed first-hand across enterprise AI journeys. As a technology leader, I’ve seen the allure of GenAI transform from breakthrough excitement to boardroom pressure. But if we chase GenAI without strategy, we risk undermining its very potential. This […]
A CIO asked me recently: “Why is everyone suddenly talking about Forward Deployed Engineers? We already have Cloud Solution Architects, Customer Success teams, and AI Architects… what’s missing?” To answer that, I had to go back to 2008. When Cloud Needed a New Kind of Role In 2008, I was part of the early team […]
Trust — The Real Currency Of The Agentic Era AI agents are rapidly moving from experimental copilots to autonomous collaborators embedded across critical enterprise workflows. Their capability curve is clear—but their trust curve is not. In almost every CXO conversation I walk into, the questions hover in the same space: “We know what these agents […]
Microsoft’s Expanding Posture Vision At Microsoft Build 2025, the message was unmistakable — security posture is no longer about systems; it’s about data. With the evolution of Defender for Cloud and Purview, Microsoft introduced a complete posture management continuum that spans from cloud configuration to data behavior. This continuum is defined by two core pillars: […]
Regulation Is Redefining Data Security As enterprises embrace cloud transformation and AI-driven operations, one truth has become undeniable: compliance now defines the architecture of data security. From the financial sector to healthcare and public services, regulated industries face an escalating challenge — protecting sensitive data while ensuring jurisdictional and regulatory alignment. Data Security Posture Management […]
Human-in-the-Loop: From Comfort Blanket to Control System “Human in the Loop” (HITL) has become one of the most overused phrases in AI. Boards hear it as reassurance. Vendors pitch it as a safety net. Compliance teams treat it as a checkbox. But let’s be honest: not all loops are the same. A recruiter glancing at […]
Microsoft Fabric’s Defining European Moment FabCon Europe 2025 in Vienna marked a pivotal moment in Microsoft’s data and AI strategy. Over four days, the sold-out conference brought together more than 4,000 attendees, 130+ sessions, and an entire ecosystem of customers, partners, and developers. From the keynote stage to the community lounge, one message was clear: […]
Technology markets rarely offer a convergence this profound. On one curve, Services-as-Software (SaaS) is reshaping how enterprises consume consulting, IP, and transformation. Services are no longer delivered as bodies on projects are engineered, codified, and packaged like products. The “services firm” is becoming the “software firm,” and that S-curve is only beginning. SaaS vs Services […]
ChatGPT and large language models (LLM) are the early signs of how generative AI will shape many business processes. Security and risk management leaders, specifically CISOs, and their teams need to secure how their organization builds and consumes generative AI, and navigate its impacts on cybersecurity. The level of hype, scale and speed of adoption […]