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Chad Barendse | Data & AI Governance
@DataGoverned
Co-Founder DGXGroup β Australia's only pure-play Data & AI Governance consultancy. Organiser of the AI & Data Governance Summit π¦πΊ Speaker.
Melbourne
Joined April 2023
527 Following
119 Followers
173 Posts
What do you think?
Follow me for more practical takes on Data & AI Governance from the trenches.
The moment I stopped selling governance as compliance was the moment things actually changed. Turns out no one wakes up excited to manage risk. But they do care about problems making their team's life harder right now.
Compliance gets you a seat at the table. Solving the actual problems your team faces? That gets you a sponsor.
What do you think?
Follow me for more practical takes on Data & AI Governance from the trenches.
Who to follow
Nicola Borsetto
@nicolaborsetto
News su mercato e operatori TLC β’ Focus tecnico su 5G, RAN e progettazione SRB β’ Innovazione e BIM per le telecomunicazioni
Byomkesh Mahato
@ByomkeshMahato
Full Stack Developer || Open Source || AI
Imafidon.O.E.
@OisedebameE
Christian π | Data Analyst π | Tech Enthusiast π | Physicist π¬ | Turning data into insights, one project at a time. Let's connect! π #DataScience #STEM"
Everyone's hiring for the perfect Data Governance Manager. Strategic thinker, technical expert, change manager, regulatory specialist. They're asking for a unicorn. Most candidates can't compete.
Technical knowledge matters. But the best Data Governance Managers are fundamentally problem solvers who happen to know data governance well. That's what makes them exceptional.
What do you think?
Follow me for more practical takes on Data & AI Governance from the trenches.
Leadership wants AI outputs but won't fund the data platform to make it work. I keep hearing this story. The uncomfortable truth: you cannot build trustworthy AI on a weak foundation. AI amplifies bad dataβit doesn't fix it.
Sprinting toward shiny tech while skipping the hard structural work isn't an AI strategy. It's a liability waiting to happen.
What do you think?
Follow me for more practical takes on Data & AI Governance from the trenches.
3 data governance managers walk into a bar. The first orders a beer. The second checks the menu taxonomy. The third interviews the bartender about data lineage and metadata certification. She's still thirsty.
The goal was never perfect data. It was a good decision, made faster, with less risk. Don't let perfect be the enemy of useful.
What do you think?
Follow me for more practical takes on Data & AI Governance from the trenches.
3 data governance managers walk into a bar. First orders a beer. Second checks the menu taxonomy. Third interviews the bartender about data lineage and metadata certification. She's still thirsty.
The goal was never perfect data. It was a good decision, made faster, with less risk. Don't let perfect be the enemy of useful.
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