Predictive maintenance meets predictive analytics

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

As more companies are leveraging the Data Lake to run their warehouse workloads, we’re seeing many companies move to an Open Data Lakehouse stack. The Open Data Lakehouse brings the reliability and performance of the Data Warehouse together with the flexibility and simplicity of the Data Lake, enabling data warehouse workloads to run on the data lake.

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.

Today’s most successful organisations are utilising data to drive accelerated growth. They are each on a journey towards greater data maturity, increasing the value of their data and deepening their insights as they go. However, the rapid growth of analytic solutions has not successfully transformed every business into a data-driven powerhouse – yet. So how can you ensure the route you take to AI maturity is a successful one? As with any endeavor, your company will face obstacles as you strive to transform into a data-driven organisation. To succeed, it’s important to evaluate where you are today, the challenges that lie ahead, and what exactly “ahead” means for you and your team.