From Pilot to Production
How AI Agents Are Transforming Enterprise Data Work on Databricks AI agents are moving fast from experiment to infrastructure. Gartner expects 40% of enterprise applications to embed task-specific agents by the end of 2026, up from under 5% in 2025.¹ The harder number sits just behind it: only around 31% of enterprises report an agent running in production, with banking and […]
Beyond the Dashboard
Building Governed, Production-Ready Apps on Databricks Application building has quietly moved outside IT. Gartner expects roughly 75% of new enterprise applications to be built with low-code tools by 2026, and Forrester puts the number of citizen developers worldwide at 16.2 million this year, up 38% from 2025.¹² Business teams aren’t waiting for a development queue anymore. They’re building. […]
The Data Foundation Problem
Why AI and Analytics Start With Clean, Governed Data on Databricks IBM’s 2025 Global CDO Study surveyed 1,700 chief data officers and found that only 26% are confident their organization’s data can support new AI-enabled revenue streams.¹ That’s not a confidence problem. It’s a description of what most enterprise data looks like: fragmented, inconsistently defined, and undocumented in the […]
From Reporting to Reasoning
Building a Self-Service Analytics Foundation on Databricks Nucleus Research has found that analytics returns roughly $13 for every dollar invested, one of the more reliable ROI figures in enterprise technology.¹ Gartner separately expects more than 80% of enterprises to have generative AI applications live by the end of 2026, with conversational analytics among the fastest-adopted use cases.² Put together, […]
Hidden Delays in AML Transformation
Why AML modernization Stalls after go-live, and how the right transformation approach keeps it moving The change management, control alignment, and gap analysis that decide whether a new AML platform actually changes how work gets done. In our first post, we laid out the architecture behind AML Catalyst, a unified AML platform on Databricks […]
Fighting Agents with Agents
Why the AI Era Demands a Unified Security Data Platform For two decades, the security operations center has been fighting a losing battle with its own data. Every new cloud platform, identity system, SaaS application, and endpoint agent produces more telemetry, and every byte of that telemetry carries an ingestion price tag in a traditional […]
Data Strategy and the Modern Data Platform: Better Together
Why pairing deliberate strategy with the right platform is what separates organizations that realize value from those still waiting for it. Most enterprises have already consolidated their data. Warehouses have been rationalized, lakes have been built, and pipelines run automatically. That progress is real. But it is also where many organizations stall. They have built the plumbing […]
Beating Alert Fatigue
A Blueprint for AI-powered Anti-Money Laundering on Databricks How financial institutions can collapse false-positive volume, accelerate SAR filing, and stay audit-ready without replacing their detection technologies. Global regulators have imposed billions in AML-related penalties every year for the better part of a decade. Transaction volumes continue to grow double-digits. Alert queues are growing faster than […]
Conversational Analytics: How to solve the “Last Mile” of Analytics…
The Last Mile Problem in Analytics Over the past decade, organizations have made extraordinary investments in their data platforms. Data lakes, cloud warehouses, lakehouse architectures, semantic layers. The infrastructure has never been more capable. And yet, for most business users, getting an answer to a data question still follows a familiar and frustrating path: find the right person, submit a […]
Unlocking Data Governance with Unity Catalog: Clean Rooms Enable Secure Collaboration
Data governance is a comprehensive approach that comprises the principles, practices and tools to manage an organization’s data assets throughout their lifecycle. By aligning data-related requirements with business strategy, data governance provides superior data management, quality, visibility, security, and compliance capabilities across the organization. Implementing an effective data governance strategy allows organizations to make data readily available for data-driven decision-making while safeguarding data assets from unauthorized access and ensuring […]