As I work with AI agents like Claude Code on new problems, I've noticed a fascinating pattern: Ask me to code a web page and the AI can make it appear like magic. Ask me to use the same AI to clean up a messy...
Ladies and gentlemen, we're just now entering the part of the year that so many of us look forward to for months and months: The holiday season is just around the corner. Celebrations, time with friends and family, great meals, the works — It's finally...
Snowflake recently released a suite of built-in functions that allow users to leverage AI functionality directly through SQL. These functions leverage powerful models (e.g. Anthropic, Meta, Arctic, etc) that are fully hosted inside Snowflake and can be used for a wide range of tasks. In this...
One of my kids recently dragged me back into fighting games. Some from my childhood (Street Fighter) and others completely new to me, like Guilty Gear. Every button press can mean the difference between glory and getting absolutely destroyed. It's been a blast. At InterWorks, we...
We're living in an era of unprecedented AI possibilities. Every day brings new demonstrations of what's theoretically achievable, from agentic AI systems that can manage complex workflows to natural language interfaces that make data accessible to anyone. Yet for most enterprises, there's a stark gap...
The conversation around AI governance has reached a critical inflection point. While many organizations still view governance as a necessary bureaucratic hurdle that slows down innovation, forward-thinking companies are discovering something counterintuitive: AI governance isn't just about managing risk—it's about accelerating growth. This shift in perspective...
Data quality has always been the foundation of successful analytics and AI initiatives, but it's also been one of the most resource-intensive challenges organizations face. We've all heard the statistics: Data scientists spend 80% of their time cleaning data, poor data quality costs organizations millions...
I’m seeing so many people in the data space say that companies need to get their data right before they can do AI (we may even be guilty at times). It is simply wrong. Look, I’m not saying data hygiene isn’t important, but telling people they...
Change management is hard. With AI changing our businesses, it’s also crucial. I’ve been thinking about change management lately through the lens of "Switch" by Chip and Dan Heath. If you haven't read it, the book uses a powerful metaphor: Our rational mind is the...
Salesforce just made headlines for cutting 4,000 customer service jobs, with CEO Marc Benioff proudly declaring he "needs less heads" now that AI agents handle half their support interactions. Microsoft chopped 15,000 roles this year. Meta cut 3,600. The message from Silicon Valley is clear:...
In the final part of our series breaking down common data and analytics pain points, we explore tool selection and its impact on your data ecosystem and end users. You can read about other common challenges in our full white paper, but today we'll be...
Software is designed for the average customer, but the truth is that no customer is the actual average. That's why we're always dealing with trade-offs. Our tool process flow doesn’t quite match the reality of our business. The analytics dashboard doesn’t quite capture the right...
July, around the InterWorks home state of Oklahoma, is a special time. The kids are out of school, the cicadas start singing, the weather is swelteringly hot, and the barbecues and cookouts are aplenty. It's the peak of summer, no doubt about it. As romantic (and...
Bottom Line Up Front: Semantic layers are transforming how organizations manage and deliver data analytics by providing a unified, context-rich middleware that translates raw data into consistent, accessible insights across all business applications — from traditional BI tools to AI-powered agents. The data analytics landscape is...
Ladies and gentlemen, readers of all ages, I come bearing news: Now that June has passed, we are now halfway through the 2020's. Also, that means that we are now closer to the year 2050 than we are the year 2000. Now that I have inflicted...
Over the past 12 months, I've sat in more exec meetings, virtual strategy sessions and innovation labs than I can count. The message is crystal clear: AI is no longer a futuristic ambition — it's a strategic imperative. Yet many organizations across Mainland Europe are still...
The landscape of project management is evolving rapidly, and nowhere is this more evident than in the data and business intelligence space. As organizations increasingly recognize data as a strategic asset, the role of project managers in this domain has become more complex, demanding and...
Happy Analytics and BI Platform Magic Quadrant release to all who celebrate. Usually when these reports drop, I feel like I'm reading last year's news today. But this time, Gartner made genuinely astute observations about where this market is headed, even if their individual vendor...
The Databricks Data and AI Summit (DAIS) has once again brought together industry leaders, innovators and data enthusiasts from around the world. There were many exciting announcements, but I'll focus on the ones that stood out the most and will have an impact on the...
What Is Ethical Debt? The concept of ethical debt is starting to become a rigorous conversation among enterprise architects. The simple definition is an accumulation of risks from compromising proper ethical standards during development. Organizations are familiar with technical debts; we know they create lower-quality products...
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