Delivering Trusted AI with DataRobot and Microsoft

Learn how you can combine CARTO and Python for spatial data science from the comfort of your own Jupyter notebook. In this technical webinar, Andy Eschbacher (Data Scientist at CARTO) and Joe Pringle (VP - North America at CARTO) show how to apply CARTOframes and CARTO's Python SDK to build powerful end-to-end spatial data science workflows. This webinar specifically focus on two areas: Using CARTO in a Jupyter notebook. Demo examples of custom data science web applications built with CARTOframes and CARTO VL.

In this webinar we will discuss a more modern view of the data lake and consider best practices for planning and implementing a scalable enterprise data lake. The flaws in early data lakes were often rooted in the expectations of data consumers who put a premium on self-service data analytics. However, with no data governance mechanisms, data lakes quickly became more of a glorified “dumping ground,” “data swamp,” or “beta lake” for organizational data.In recent years, though, some innovations have allowed the data lake to evolve into an agile yet managed environment for accumulating shared data resources that can be optimally used for competitive advantage. Data lakes have evolved beyond the original on-premises concept based solely on Hadoop and now include pretty much any distributed computing platform (Hadoop, Spark, EMR, serverless, etc.) and any storage mechanism (HDFS, S3, ADLS), either on-premises or in the cloud.

Corporate security teams hope never to respond to an active shooter situation. But given today’s realities, companies spend a great deal of time developing guidelines, holding training sessions, and carrying out drills to ensure that their staff will be prepared in case an active shooter event occurs. Protocols in place for many

Learn how the unique relationship between Salesforce Genie, Snowflake, and CRM Analytics is creating new ways for financial services firms to realize the value of customer data. Join us as industry leaders showcase the different real-time data integration options and discuss how customers are leveraging these platforms to achieve success today.