Andrew Brust, GigaOm, Lori Witzel and Alexis Peschiera from TIBCO.
The pandemic may be receding, but emergent situations—like fires, hurricanes, and other events disruptive to business—continue to arise frequently. The impact on business is significant, and it all amps up the need for organizations to be agile and data-driven. Meanwhile, the data and analytics world has many segments, islands of functionality, areas of innovation, and ecosystems within ecosystems. That makes data technology-rich, but it can also slow down data-driven progress. To fix this, you must take an end-to-end approach to analytics.
AI and insights need data, and data comes from multiple sources at multiple speeds. Some data will be copied locally. Other data will be virtualized. That’s why artificial intelligence, business intelligence, data virtualization, and streaming data processing need to be stitched together gracefully for data-driven culture to be a reality that can be implemented and sustained. Meanwhile, the silos across vendors, analyst teams, data science teams, and the technologies they use must be eliminated.
To learn how to break these barriers, use multiple technologies together, and attain data-driven agility in a post-pandemic world, join us for this on demand webinar run in partnership with GigaOm Research. The webinar features GigaOm analyst Andrew Brust as well as Lori Witzel and Alexis Peschiera from TIBCO.