BEST PRACTICE REPORT
Scaling Data Science In AI And Beyond
This report contains recommendations for starting and scaling successful data science initiatives.
What's Inside?
Matching the probabilistic nature of data science with the more deterministic process of enterprise software development is a challenge for every team and every enterprise, but with emerging best practices, technology leaders can make the right choices for sustainable differentiation.
"As AI becomes an essential part of enterprise operations, some of the most high-value applications are the ones that can extend across silos to include more data and business context.
For cutting-edge applications — such as one which combines intelligent supply chain management, factory administration, and business goals — data science practices need to scale their overall connectivity to the broader enterprise to realize full value from connected intelligence."
Knowledge graph technology is the critical enabler to cross-silo, scalable, connected intelligence.
Grab this report for a better understanding of the steps to bring success to initiaitives in data science, AI, and beyond.