We’re seeing some really interesting growth in the Data Governance space at present. Is this skill set still underappreciated in the market? With so much talk around Artificial Intelligence, your data is still the true game-changer. If your data sucks, your AI journey will be nowhere near as impactful to your business. The quality of your data is the secret sauce that fuels the performance and accuracy of AI models. Now, more than ever, implementing a robust data model is the key to unlocking the full potential of AI. Let's elevate our AI game by understanding and nurturing the backbone of innovation – your data! #DataQuality #DataGovernance
The problem is as always companies pay lip service to their data assets. Probably burnt by one to many failed data projects or unrealised return on the investment, resulting in a fix on fail attitude when it come to data output. However without robust data governance companies can forget about taking advantage of AI or even meaningful data insights, lets alone evidence based decisions.
Well said. But, when organizations are looking to hire in this space they still seem to be struggling with the role and it's footprint in the organization. A lot are still struggling with data literacy. Everyone seems to understand 'data' but when asked to define their understanding we come up with very differing levels of understanding for both concepts.
The underappreciation of Data Governance is a significant concern. It's like having a sports car and not bothering about the quality of fuel you put in it. In your view, what are the critical first steps organizations should take to strengthen their data governance and ensure they're AI-ready?
Absolutely, I think it is under appreciated Jamie. Without good data governance and good data quality organisations can't leverage the true benefits of AI. Good to hear of growth in this space, I think it's the way companies need to go.
I agree with your insights, data quality and governance are not just supportive functions but central to the success of AI-driven initiatives. In many cases, the focus tends to be disproportionately on the AI algorithms, while the quality or governance of the data fueling these algorithms is overlooked. #DataIsKey #AIInnovation
Governance is a fundamental piece of a data strategy and yet not only missing in so many cases but the scariest part is that the need for it is dismissed altogether in some organizations.
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Absolutely, Jamie! Quality data is the true fuel for impactful AI models.
Craft Marketing @ Scale. Startups -> Fortune 10. Thinker. Builder. Doer.
11moIt sure is... data governance for most types of marketing and commercial data is still in its infancy. I created a few new data governance models 3-5 years ago and began training enterprise teams how to be more inclusive... and setting up the data quality value prop for AI/ML. There are so many areas where marketing data can get all mucked up. 🫣