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The fourth annual installment of Profisee’s Data Hero Summit happened yesterday, and while the events of the day are still fresh in my mind, I decided to write a blog summarizing the highs, and even a couple of lows, of the day. The Data Hero Summit is a half-day virtual data conference that attracts participants from all over the globe. This year, over 2,500 people registered for the event, which was streamed entirely live from a sound studio in Atlanta, Georgia. Best of all, the event is entirely free every year, and all are welcome to join.
The Data Hero Summit is Profisee’s biggest marketing event of the year, where our focus is to provide insights and best practices spanning all data management and governance disciplines, though with a clear emphasis on MDM given Profisee’s market focus. As you’d expect from any data conference these days, there was also a focus on AI: both how data management enables AI, and how AI improves data management.
The Event Venue and Experience
Given this was Profisee’s first attempt at an all-live, in-studio experience, all the lows of the day came down to the hiccups of executing a live event, including minor audio glitches and some rough transitions between sessions. The most notable hiccup came during my opening keynote, where I went slightly over time and the last two minutes of my session hit the cutting room floor. This was entirely my fault. I wasn’t paying enough attention to my countdown timer, which is a rookie mistake for somebody with as much conference experience as yours truly.
Despite the minor glitches, the in-studio experience is far superior to any reliance on recorded sessions for a virtual event like this. You simply can’t replace the authenticity and vibrancy of a live event with recordings. Being in a studio also allowed us to invite several Profisee customers to participate in live panel discussions, and to watch the entire event from within the studio itself. A small in-studio audience, coupled with the energy of a live event, enhanced the experience for both virtual and in-person attendees. I suspect we’ll stick with this format next year, and possibly expand it to allow more in-person viewers. When we do, our big goal will be tightening the execution and making the overall experience as world-class as possible.
The Major Insights / Takeaways
In no particular order, here are my top takeaways from the Data Hero Summit:
- Data Governance and Management Are Having a Moment. While it may have taken organizations a few years to fully understand how their legacy data management and governance programs can be utilized in the service of trustworthy AI, advances in enabling technologies such as AI Control Planes are changing the game. These platforms can integrate insights from semantic layers and reference data sources into agentic flows, something that just two years ago would have required thousands of lines of custom code in highly complex RAG patterns. The criticality of strong data foundations in service of trustworthy AI is no longer a purely academic construct. There is now a direct path between traditional data management infrastructures and AI workflows.
- The Data Leader Dual Mandate. As I highlighted in my keynote, the truth and meaning supported by governed and curated reference and master data is critical to trustworthy AI, making our data foundations more important than ever before. At the same time, the pace of change is requiring data leaders and teams to adapt their operating models to embrace more risk taking and more innovation. A bias toward action and a willingness to test and learn is exactly the right stance for any organization adapting to the AI era, given that nobody has completely figured this out. A commitment to building strong foundations, while also embracing a growth mindset focused on adapting to the new realities of AI, is a winning combination.
- You Are Not Behind. As much as the vendors, consultants, and thought leaders in the data world would try to convince you that everyone has deployed customized agentic solutions, that’s simply not the reality. Ben Bourgeois shared data from McKinsey showing it’s perhaps only 20% of companies that have any customized agents deployed in production, with the overwhelming majority only using GenAI solutions at the desktop. This means roughly 80% of companies have yet to figure out how to leverage their internal proprietary data as a competitive edge, representing a massive opportunity for data leaders and functions to position themselves as a critical linchpin in their companies’ AI-fueled evolution.
- Data for AI, and AI for Data. While many continue to focus on getting their data more AI-ready, an increasing number of AI-supported capabilities are transforming the data management and governance functions at many companies. Eric Melcher and Greg Jones showed how Aisey, Profisee’s AI Agent, is doing exactly that by augmenting critical MDM tasks like master data modeling, defining data quality and match rules, and integrating to up/downstream sources and consumers of master data. This shift from human-first (where people define the rules) to human-led (where people review and approve the rules suggested by AI) is something both Jordan Morrow and I highlighted in our keynote addresses, and it’s a big part of the ongoing evolution of many data teams.
- Business-driven, Not Data-driven. As several of our guest panelists, including Ibrahim Itani from Marathon, highlighted across two insightful discussions, it’s never been more important for data professionals to get closer to the business. We should not be doing AI for AI’s sake, or because it’s the hot new technology. We should be doing it in service of a specific business outcome. This outcome-driven approach is the best way to manage scope, control costs, and ensure business engagement and alignment. The need for data professionals to become business consultants is also something I stressed in my closing keynote, especially given AI’s growing role in augmenting data governance and management policies and workflows.
In all, it was an amazing array of actionable and pragmatic insights crammed into a four-hour online event, with a caliber of speakers you would typically only see at events costing hundreds, if not thousands, of dollars to attend.
I’m already looking forward to next year. Save your seat now for Data Hero Summit 2027!
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