Data + Intelligence

AI is no longer the future; it is happening. Every other technology faces issues during its development phase, and AI is no exception. Have you ever asked an AI a question and received an answer that sounded perfectly confident, only to find out it was completely wrong? That is not a glitch; it is called […]

Business users don’t use notebooks. Full stop. And for that reason, most organizations don’t have business users accessing the Databricks UI. This has always been a fundamental flaw in Databricks’ push to democratize data and AI. This disconnect is almost enshrined in the medallion architecture: Bronze is for system accounts, data scientists with notebooks use […]

Databricks recently announced support for MLflow 3.0, which features a range of enhancements that redefine model management for enterprises. Integrated seamlessly into Databricks, MLflow is an open-source platform designed to manage the complete machine learning lifecycle. It provides tools to track experiments, package code into reproducible runs, and share and deploy models. With the launch […]

Model Context Protocol (MCP) is reshaping the way AI agents interface with data and tools, providing a robust framework for standardization and interoperability. As AI continues to permeate business landscapes, MCP offers particular advantages in creating scalable, efficient AI systems. This blog explores what MCP is, its role in the AI landscape, and focuses on […]

Wealth management firms are under pressure to deliver more—faster, smarter, and with greater precision. The conversations we’re hearing aren’t about what might happen in the future, but rather about what needs to happen now. Earlier this year, we published 5 Leading Digital Trends Shaping Wealth Management in 2025, outlining the macro shifts redefining the industry. […]

AI this, AI that. It seems like everyone is trying to shoehorn AI into everything even if it doesn’t make sense. Many of the use cases I come across online are either not a fit for AI or could be easily done without it. However, below I explore a use case that is not only […]

At the absolute basic level, banks take money in and also send money out. Sort of like saying NASA launches spaceships and then bring them back. You know it’s more complicated than the elementary statement, but you know if you had to learn the more advanced functions of banks and NASA, it would likely be […]

“Clean rooms” have emerged as a pivotal data sharing innovation with both Databricks and Snowflake providing enterprise alternatives. Clean rooms are secure environments designed to allow multiple parties to collaborate on data analysis without exposing sensitive details of data. They serve as a sandbox where participants can perform computations on shared datasets while keeping raw […]

In Part 1 we’ve talked about why we urgently need to make sure AI is used responsibly and has clear rules. We looked at the real dangers of AI that isn’t checked, like how it can make existing biases worse, invade our privacy, create tricky legal problems around who owns what, and slowly make people […]

For most of my data-focused career, I’ve been dealing with semantic layers one way or another. Either because the tool I was using to present data required it explicitly, or because the solution itself needed data to have relationships defined to make sense and be better organized. With the recent focus and hype on AI-infused […]

Faced with rising patient volumes, care complexity, and financial and labor pressures, healthcare organizations are looking at new ways to deliver better outcomes more efficiently. Intelligent automation (IA) has emerged as a powerful solution for achieving operational excellence and enhancing decision-making. This is the first installment of our Intelligent Automation in Healthcare blog series, where […]

I’ve been coding in notebooks for so long, I forgot how much I missed a nice, deployed application. I also didn’t realize how this was limiting my solution space. Then I started working with Databricks Apps. Databricks Apps are designed to extend the functionality of the Databricks platform, providing users with enriched features and capabilities […]