Cloudera has restructured amid intensifying cloud competition. Here’s what customers can expect. Cloudera’s plan is to lead in machine learning,…
Nvidia Accelerates Artificial Intelligence, Analytics with an Ecosystem Approach
Nvidia’s GTC 2018 event spotlights a play book that goes far beyond chips and servers. Get set for the next…
Domo Focuses Its Cloud-Based Analytics Message, Adds Predictive Options
Domo insists its platform is aimed at business people, not data analysts. Here’s the appeal to CXOs and line-of-business types.…
MariaDB Joins Latest Honorees on my Constellation ShortLists
Here’s why I added MariaDB — along with DataRobot, Datawatch, Domo, Kylo and Unifi — to my latest Constellation ShortLists.…
MicroStrategy Makes Case for Agile Analytics on its Enterprise Platform
MicroStrategy promises quick-to-deploy data-discovery and departmental capabilities that sync with its venerable, enterprise-scale platform. MicroStrategy is back. After a few…
Amazon Web Services Adds Yet More Data and ML Services, But When is Enough Enough?
AWS uses re:Invent to launch Aurora upgrades, Neptune graph DB service, the SageMaker ML environment and much more. Here’s my…
Salesforce Dreamforce 2017: 4 Next Steps for Einstein
Salesforce Einstein Prediction Builder, Bots, Data Insights and a new data-explorer feature stand out as the big AI and analytics…
IBM Joins Hybrid, Multi-Cloud Data Science Chorus
IBM sings praises of build-anywhere, deploy-anywhere, open-source analytics. Here’s a review of what’s now a familiar refrain. Lots of big…
Tableau Conference 2017: What’s New, What’s Coming, What’s Missing
Tableau unveils high-scale Hyper engine, previews self-service data-prep and ‘smart’ capabilities. Here’s the cloud agenda for next year’s event. Tableau…
Oracle Open World 2017: 9 Announcements to Follow From Autonomous to AI
Oracle highlights machine learning and artificial intelligence for running cloud services, delivering smart applications and driving data-driven decisions. Here’s what’s…