Deliver AI-Powered Analytics Apps on Cloud-Native Sisense
We are very excited to announce Sisense Q3 2019 Release, which reflects many key milestones in our AI and Enterprise DevOps roadmap. Now, as part of our vision to deliver embedded, AI analytical apps, you can now empower users to answer questions they didn’t even know as well as deploy at scale on the only multi-cloud-native Linux architecture.
AI Exploration Paths
This release also represents an exciting milestone in our Sisense AI Roadmap. Sisense AI Exploration Paths guides users to explore the drivers behind their most important KPIs revealing AI-driven insights gleaned from both the underlying data as well as from the combined insights across the business. Business users don’t need to know which question to ask next. Sisense will provide augmented insights that answer questions they didn’t even know they had!
Cloud Native Sisense
Our rearchitected cloud-native architecture supports any cloud and is purpose-built from the ground up on a modern containerized architecture that incorporates best-of-breed open source technologies such as Linux, Kubernetes & Docker. Offered alongside our existing Windows-based offering, our new Cloud-Native Sisense is the culmination of two years of work to support the growing needs of modern data teams.
Additional new features and capabilities in the Sisense Release Q3 2019 include:
- Group Similar corrects data discrepancies found inside of a single column using AI
- Expanded library of certified data connectors
- Greater enterprise scalability with end-user report management
- Live data model support for PostrgreSQL, MySQL, and Oracle
- Live Table Queries that will be available soon in Q3 2019
Learn everything you need on the release landing page where you will find detailed descriptions, videos, links to our blog, and so much more. Release notes are also available for this and previous version releases.
Note: The download link is pointing to the latest Sisense version, please verify which version you are downloading before proceeding with the installation.