TechCrunch Webinar Series: Modernize Your Data Architecture to Scale AI in the Cloud

Many enterprises are struggling to run modern workloads using legacy databases that can’t keep up with real-time, highly active, and unstructured data. Success relies on modern data applications and databases that are always on, highly scalable, secure, and able to utilize real-time data.

In this fireside chat-style webinar, Patrick Callaghan, VP of Partner CTO at DataStax, and Alan Villalobos, VP of Development, Partnerships, Data and AI at IBM, dive into how together, IBM Cloud Pak for Data and DataStax Enterprise (DSE) enable a Cassandra-based distributed datastore, coupled with best-in-class data science, governance, and privacy.

You'll Walk Away With:

• The know-how to run a Kubernetes-native database, with the benefits of IBM’s ecosystem and DSE’s cloud-native API’s
• How to enable a lightning-fast data layer that seamlessly supports and can keep pace with AI/ML
• Use cases for realtime, massive amounts of data
• IBM Cloud Databases for DataStax
• Our 100% uptime solution automates the Ladder to AI and includes 50+ IBM services. Its multi-model aspects enable developer freedom and choice, and its accessible, open API’s accelerate time to market for modern data applications.