Data Governance AI reimagination

I have been reading a number of interesting articles of late about the demise of data governance.  I think that we are on the bridge of transformative change. I believe that tools are automating away a lot of the tasks. Data Governance is the blueprint to how we manage data establishing all the core policies, frameworks and standards on how data is to be managed. It is setting and establishing the strategies for moving forward to enable data management to process well.  

Most business data exilities in many department and teams within the business. Many businesses now have decentralised governance with only some centralised control. The teams within the business understand the data and  data control needs to be with these teams. It is useful to have central oversight but I don't see people moving to fully centralised systems. 

Peter Aiken's new definition of data governance ' Managing data decisions with guidance' is an interesting change in previously defined definitions of data governance. Perhaps moving away from an independent function to one that is just always fully incorporated. 

On the other side i see AI governance in the responsible AI side is a subset or just an addition that needs to managed. I see the main areas of governance are changing focus with AI round the corner for many organisations. I think it will just become a task that is included in everything we do rather than a specialist separate function. 

Knowing where your data is in a catalogue, how it is used and the data quality is testament to the embed nature of the new world of data governance.  There is the core importance of Data quality not just from the technical side but that is is a strategic imperative. As we all know poor quality data can damage a business reputation , have legal implications, create operational inefficiencies' and provide incorrect business insights.

All drawn together:

Reading

https://www.linkedin.com/pulse/reimagining-data-governance-age-ai-chad-barendse-cw3qc