Artificial Intelligence is the next revolution in data management

Artificial Intelligence is the next revolution in data management

I've been in the data management business for over 35 years now (and even longer if you count my days in 4-H!). And over those years I've seen many examples of what was supposed to be "the next revolution in data management." In my opinion, there have been only three revolutions in my lifetime:

  1. Moving data management from one central computer lab to the desktop.
  2. Moving from character-based user interfaces to windows-based UIs.
  3. Moving from local and wide area networks to the internet.

Artificial intelligence will be the fourth revolution.

AI is already changing how we manage data and will have a huge impact in the coming years. Here's just one simple example:

I've long talked about the importance of documenting processes. In fact, my very first article published by ASAE after I started consulting was called "Documentation is King."

One reason associations give me for not documenting processes is how time-consuming it is to do so. And this is true. I used to provide documentation services and I can attest to how labor intensive they are. Enter AI.

As Evan Reid, Director of Data Analytics at ASHA explained to me recently, when he has to document a process, he meets with the staff who are responsible for the process via Zoom and records the conversation. He uses an AI assistant during the call to transcribe everything that was said. He then edits the transcription down to the documentation required. And to take it one step further, he asks AI to write a spec on how to do it the same/better the next time.

Voila! What used to take hours to create now takes minutes. All thanks to AI.

And that's just one example. There are, and will be, many more. So buckle up! There's a lot of change coming!

Wes's Wednesday Wisdom Archives

Negativity bias is why we need database PR

November 13, 2019

Negativity bias is why we need database PR I’ve written before how cognitive biases can affect […]

A system change requires a culture change

November 6, 2019

A system change requires a culture change By its very nature, when you introduce a […]

Where is that data?

October 30, 2019

Where is that data? This is what data management nirvana looks like: When the question starts with […]

Be deliberate, but act quickly

October 23, 2019

Be deliberate, but act quickly Be deliberate, but act quickly. These are my words of […]

Why associations don’t like the “S” word

October 16, 2019

Why associations don’t like the “S” word A couple of weeks ago I asked my […]

The “S” stands for “Standard”

October 9, 2019

The “S” stands for “Standard” In a conversation with a past client, we were discussing […]

Is that meaningless data?

September 25, 2019

Is that meaningless data? I’m not a big quotes guy, but one of the few […]

Be aware of unintended consequences

September 18, 2019

Be aware of unintended consequences I’ve written before that every decision involves a trade-off. When […]

Positive change is harder to see

September 11, 2019

Positive change is harder to see Humans are wired to see negative change because we […]

MVP: Minimum Viable Product

September 4, 2019

MVP: Minimum Viable Product In product development there is a concept known as MVP, or […]

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top