Democratize AI & ML in a Large Company: The Importance of User Enablement & Technical Training
To democratize data:
– Centralize a data platform that is accessible to all employees and allow for easy data sharing
– Implement privacy and security to protect data and use data ethically
– Compliance and governance for using data in responsible and compliant way
– Simplification of processes and procedures to reduce redundancy and faster adoption
To mobilize end users:
– Increase data literacy: provide training and resources for employees to increase their abilities and skills
– Foster a culture of collaboration and openness: cross-functional teams to collaborate and share ideas
– Encourage exploration of innovative ideas that impact the organization’s values and customers technical enablement and adoption tactics we’ve used at TD Bank:
1. Hands-on training for over 1300+ analytics users with emphasis on learn by doing, to relate to real-life situations
2. Online tutorials and documentations to be used as self-paced study
3. Workshops and office hours on specific topics to empower business users
4. Coaching to work with teams on a specific use case/complex issue and provide recommendations for a faster, cost effective solutions
5. Offer certification and encourage continuous education for employees to keep up to date with latest
6. Feedback loop: get user feedback on training and user experience to improve future trainings
Talk by: Ellie Hajarian
Here’s more to explore:
State of Data + AI Report: https://dbricks.co/44i2HBp
The Data Team’s Guide to the Databricks Lakehouse Platform: https://dbricks.co/46nuDpI
Connect with us: Website: https://databricks.com
Twitter: https://twitter.com/databricks
LinkedIn: https://www.linkedin.com/company/databricks
Instagram: https://www.instagram.com/databricksinc
Facebook: https://www.facebook.com/databricksinc
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