My company runs across different markets and different continents. We are currently merging our data science functions across those markets, but, as expected there is pushback. To start the ball rolling with collaboration amongst the teams, i have suggested that we build a federated learning model. This way no one would need to share data and just model weights. Has anyone had experience implementing this king of DS model?
How confident are you in your organization's ability to adapt its data strategy over the next 12 months?
Very confident
Somewhat confident
Not confident
Unsure
View Results
Can you share your MDM Integration journey when you data repository is heavily Microsoft Azure data lake with databricks, fabric, and plenty of sql servers as vendors apps? We're looking for a platform to serve the entire upstream value chain, starting from exploration to subsurface, drilling and completion, planning, and production. The winning theme is golden set connecting through unique IDs across platforms.
What is the BIGGEST hurdle in achieving effective data governance and utilization across your organization?
Difficulty in extracting actionable insights from data3%
Lack of a clear data strategy and ownership54%
Data silos and lack of interoperability29%
Ensuring data privacy and security compliance8%
Data quality and accuracy issues5%
View Results
What sets us apart?
No selling.
No recruiting.
No self promotion.
Read Our GuidelinesTrusted peer advice and insights for technology professionals.
