Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company's reputation. Poor data quality costs organizations at least $12.9 million per year on average, according to Gartner research from 2020.
Read More
The Call for Speakers is officially open for the 13th annual Data Summit, taking place in Boston on May 6-7, 2026, with pre-conference workshops on May 5. The deadline to submit proposals is December 12, 2025.
Read More
In recent months, the ground has been moving underneath the feet of the overseers of enterprise data and IT environments. AI is bringing new challenges, along with seemingly insatiable business demands for real-time insights. To explore the most compelling technologies promising to shape the data world in the months and years to come, we canvassed market leaders to get a sense of the top technological changes and potential issues that may arise.
Read More
As a former teacher, I've seen firsthand that a student is only as good as the curriculum they are given. The same is true for AI. We often talk about AI models as if they're magical tools, but they're really just students, learning from the instruction and data we provide. If we give them a curriculum full of contradictory metrics, scattered data, and ambiguous logic, it's not the student who failed, but a lesson plan that sets them up for failure.
Read More