Empowering Teams with Data & AI – How to Navigate Ownership, Automation, and Human Augmentation
Why data ownership is the silent killer of AI initiatives.
I told a data team last week: ‘If your data is not clearly owned, it is as good as useless.’
In this edition, let’s see why ownership is really the unsung hero of successful AI strategies.
We will focus on three critical areas that can empower your teams to thrive with Data & AI: deciding between data ownership or stewardship, determining whether to automate or augment with AI, and addressing the misconception that AI will replace humans.
I will also share how to:
- Download all the cheatsheets and much more.
- Find out where you stand with the Top Data & AI Leaders Challenge!
- Get personalised value driven coaching for you or your team.
- Get my books including the FREE (Anniversary Edition) of "Value Driven Data (the Workbook)".
Enjoy!
Edosa
Data Ownership vs. Data Stewardship – Rethinking Control and Collaboration
The first decision is whether to tightly control data by assigning ownership to specific departments or to adopt data stewardship for collective management and greater cross-functional collaboration.
What to Do:
Choose Data Stewardship when your goal is to foster collaboration, enhance cross-team data sharing, and support enterprise-wide innovation. Opt for Data Ownership if you need to protect sensitive information, maintain control, and limit access to specific departments.
Why It Matters:
Data ownership can create silos, making innovation difficult and slowing down decision-making. Data stewardship fosters a more integrated, flexible approach, allowing data to be shared, governed, and utilised more effectively across teams.
When to Apply:
- Use stewardship if your teams require broad access to data for collaboration and shared decision-making.
- Stick to ownership if data security, privacy, or department-specific insights take priority.
See the decision tree below for a detailed breakdown on choosing between data ownership and stewardship.
Get the downloadable HighRes image by clicking here.
AI as Automation vs. AI as Augmentation – Where Does AI Fit Best?
The next decision is about AI’s role: should it be used to fully automate tasks, reducing costs and freeing up human resources, or should it augment human capabilities, allowing teams to handle more complex tasks?
