ROI concerns play a central role in determining where organizations invest their time and resources in AI. Yet, ROI can be harder to calculate for data science use cases, given the widespread and sometimes nebulous nature of impact. Join us to learn more about how other organizations have used ROI to accelerate their AI journey, identify optimal business cases for your organization, and how Databricks Lakehouse Platform can help.
At this Data + AI World Tour | Virtual Hands-On Training event, you’ll get expert insights from senior Databricks executives and learn from technical specialists in product deep dives. Gain a greater understanding of the lakehouse model in this new series of free, in-depth sessions and learn how data science, machine learning, data engineering and analytics can collaborate together in the lakehouse architecture to maximize efficiency and transform your data management strategy.
Join us to learn how enterprises are unleashing the power of highly scalable big data with cloud-based alternatives like the Databricks Lakehouse Platform — a simple, open and collaborative platform for all your data, analytics and AI needs.
Join this virtual workshop to learn how the Databricks Lakehouse Platform and John Snow Labs, the leader in healthcare NLP, enable you to analyze all your real-world text data to detect adverse events and improve the safety of new treatments.
Join this webinar to hear from DoorDash and Grammarly and how they have used the Databricks Lakehouse Platform on AWS. You’ll also learn how a lakehouse: Speeds GTM iteration and enables a more productive, efficient ML team, resulting in increased revenue and profitability. Provides a scalable, predictable framework, minimizing risk and lowering TCO by alleviating unnecessary DevOps
Join Databricks and Microsoft to learn how to leverage Azure best practices for implementing a complete data science lifecycle, enabling data teams to scale effectively using Azure Databricks, MLflow and other Azure services.
In this workshop, we’ll cover best practices to help organizations use powerful open source technologies so you can build and extend your Azure investments and make your data lake analytics-ready. You’ll learn about the advantages of cloud-based data lakes in terms of security and cost. And finally, you’ll learn how data professionals are having a huge impact – lowering costs, changing time to market — and even revolutionizing industries.