In the last few years- and certainly in the face of 2020’s tumultuous turn of events- data governance has shot to the forefront of discussions both in the media and in the boardroom.
This white paper covers:
- Why proper governance is more important than ever before
- What AI governance is and why it's different than data governance
- Components for (and pitfalls to) successful AI governance
This white paper is brought to you by Dataiku and Capgemini.
There are a few conclusions we hope you take away from this whitepaper:
- Traditional data governance, and all the areas underneath it, are still important. Whether that be data quality, master data management or data security.
- Data science, machine learning, and AI have added new aspects to the data governance picture that necessitate an expansion of focus and application.
- Organizations need the right sponsorship, investment, culture and communication to make sure a data governance program is effective and leads to continuous improvement across the organization.
The whitepaper explores how companies seriously engaging in scaling AI need to enhance their governance approach - with data governance as a cornerstone.
In the long run, good AI governance will allow for Enterprise AI at scale that is responsible and sustainable.