Every request was authorized. That was the problem. The pipeline that built a mining farm It’s 7:40 on a Monday, and you’ve barely touched your coffee when Finance pings you: “Hey, quick one: why do we have a fleet of GPU machines running in a region we don’t use?” Your first thought is that the… Continue reading Compute is the New Currency. Who’s Watching Yours?
Only 22% of life sciences leaders say they’ve successfully scaled AI, and just 9% report significant returns, according to Deloitte’s 2026 Life Sciences Outlook. Yet life sciences is rich in data, from early assays and trial outcomes to batch records, payer contracts, and patient support calls. The gap often comes down to definitions. Ask a… Continue reading Connecting the Dots: How Fabric IQ Helps Life Sciences Organizations Turn Data into Shared Understanding
Artificial Intelligence has become a part of our daily life. We use AI in every work we do, like online shopping, booking movie tickets, or while raising a service request using any chatbot. Everywhere, AI is present and is working behind the scenes. Today, many companies are using AI to improve the service provided to… Continue reading Why AI Should Explain Its Decisions: Building Trust Through Better User Experience
Servers, storage, networking, hybrid cloud subscriptions, and more: all parts of a growing business. What that means for the finance function, how Databricks Genie for Finance gives every finance stakeholder governed, conversational access to the numbers, and how WinWire helps clients get there. 1. A finance function at the center of a transformation Picture a… Continue reading Databricks Genie – Transforming Finance with Governed AI
Why AI coding tools need a new kind of engineering discipline, and what we’re doing about it A while back, a team of our senior engineers tried something that is now pretty common. They took a feature they would normally estimate at around 16 hours and built it with an AI coding agent. It took… Continue reading AI-Integrated Governed Engineering
Traditional application support keeps systems running. The real issue, though, is whether or not it ever improves them. The monthly service review looks good. In fact, it looks better than good. SLA compliance is above target, tickets are closing quickly, availability matches the contract. During the meeting, a business lead mentions an application that keeps… Continue reading Your Application Management Services (AMS) Provider Is Meeting Its SLAs. So Why Aren’t Your Problems Going Away?
INTRODUCTION Enterprise software testing is in the process of shifting from its fundamentals by incorporating Generative AI, Retrieval Augmented Generation (RAG), and intelligent knowledge systems. Traditional QA approaches of manual test design, automation, and defect management are no longer enough in today’s development pipeline, which requires speed, accuracy, and continuing validation. This blog provides an… Continue reading Building an Enterprise Agentic AI Testing Assistant – A Practical Implementation Guide
How we automated the verification of hundreds of dashboards, alerts, and SLOs during a New Relic to Grafana LGTM migration. By Mahesh Shekharapp The Validation Gap Nobody Budgets For Your team has just moved its observability stack off New Relic and onto Grafana’s LGTM stack (Loki, Grafana, Tempo, Mimir). Dashboards, alert policies, SLOs (Service Level… Continue reading Validating an Observability Migration at Scale with Agentic AI
How modern ETL validation framework are redefining data confidence, making pipelines trustworthy and auditable, and quick enough that teams actually bother running them. Envision the following situation: your team has been working for weeks to move a vital database from SQL Server to Databricks, involving millions of rows and various transformations, yet the date set… Continue reading ETL Validation Framework: How to Cut Data Reconciliation Time by 67% (Without Writing Python)
What is the gap between AI adoption and AI value? McKinsey’s 2025 State of AI survey found a clear gap between adopting AI and generating measurable business value from it. While 88 percent of respondents said their organizations use AI in at least one business function, only about 6 percent qualified as high performers. McKinsey… Continue reading Microsoft 365 E7 Explained: What It Bundles, and Why Licensing Alone Won’t Close the AI Value Gap