“The Golden Eagle award is presented to a senior who soars beyond the expectations of others. On first impression, people expect all sorts of different things about each of us; some we have to strive to meet and some we have to battle through. This award recognizes determination, diligence, and Read more
We are at the threshold of the most significant changes in information management, data governance, and analytics since the inventions of the relational database and SQL. At their core, these areas have changed very little over the past thirty years. Most advances have been beneficiaries of Moore’s Law: faster processing, Read more
The last class I needed to graduate from college was Statistics. I wasn’t avoiding it, but I wasn’t excited about it either. Statistics classes were taught out of a couple different departments, but “Math Stats” was the required option. There was definitely a hierarchy. It would be unacceptable for a Read more
Recent advances in large language models have reignited interest in Artificial General Intelligence (AGI). It’s coming soon! Just like it has every couple of decades since the 1950s. But the trajectory of recent successes make it seem more plausible this time. It doesn’t help that AGI is a nebulous concept. Read more
In the Data Ethics episode of the Rock Bottom Data Feed podcast, our guest Daragh O’Brien made the observation that in our industry we often mix up word sequencing. For example, to him there is no such thing as “Data Ethics.” Rather, there is the application of ethics to data. Read more
I’ve covered Data Product implementation requirements at length in several past articles. You need Information, Infrastructure, and Process. Without any portion of any of those you don’t have a Data Product. No metadata? Not a Data Product. No lifecycle management? Not a Data Product. And so on. Data Product development Read more
This is the third part of a multi-part series discussing Data Quality and the ISO 25000 series standard. OK. You’re with the program. You recognize that having quality data is important for accurate AI models. You would even concede that it’s important for other stuff, too, but whatever because AI Read more
Trying to sell Data Governance to corporate leadership is a rite of passage for data professionals…like the Kobayashi Maru test from Star Trek. You’re invited to pitch your proposal. You show slides with councils and processes and RACI charts. In the center sits a metadata repository and business glossary. Partway Read more
This is the second part of a multi-part series discussing Data Quality and the ISO 25000 series standard. The first installment in this series introduced the ISO 25000 series standard (System and Software Engineering — Systems and Software Quality Requirements and Evaluation) with a particular focus on ISO 25012 (Data Quality Read more
This is the first part of a multi-part series exploring Data Quality and the ISO 25000 series standard. In the 1964 dark comedy Dr. Strangelove, or How I Stopped Worrying and Learned to Love the Bomb, General Jack D. Ripper orders a nuclear strike on the USSR. Despite efforts to Read more