Join data and analytics leaders and strategists for a panel discussion on leveraging data science and machine learning predictions in BI, democratizing analysis-ready data and new possibilities with data science for BI initiatives.’
Our featured speakers will share practical guidance and examples on how to build a data infrastructure and analytics architecture to harness the power of AI for business use cases at scale. You will hear best practices for leveraging data gravity to move machine learning models closer to the business and better monetize the impact of machine learning predictions within BI programs.’
In this webinar
You will learn about:’
- Considerations BI organizations need to address before they adopt AI and machine learning
- Reducing data prep and eliminating data silos between Data Science and BI teams
- Creating governed and consistent access to features, predictions, numerics, categoricals, hierarchies, dimensions and measures
- How to operationalize data science by publishing model results to BI consumers through the semantic layer
Who should join
AI & BI leaders and practitioners (e.g., Chief Data Officers, data scientists, data engineering, business intelligence, and analytics professionals) looking to bridge the gap between data science and BI workloads and to harness the power of AI for BI at scale.
