Advertisement Demo: Share the Wealth and Lighten the Load – How Automation and Adoption are Key to a Successful Data Catalog 

  Download the slides here>> For a data catalog to find organizational success, it has to accomplish two essential outcomes — broad user adoption and robust workflow automation. Without widespread adoption by users outside technical teams, a catalog is just another data silo. And given the sheer volume of data at every business, with manual […]

Informatica Demo: Data Quality & Observability – Building Trust and Driving Business Success

  Download the slides here>> As modern organizations accelerate decision-making driven by data and analytics, the need for trusted, high-quality data has never been more important. Yet only 27% of data practitioners completely trust their data. And, 30% of time is spent on non-value-added tasks due to poor data quality and availability.  It’s critical to […]

Innovative Systems: Is Your Data Quality Good Enough to Support Your Business Initiatives?

  Download the slides here>> Massive increases in data volumes and the variety of data sources continue to challenge organizations that require high-quality data.  Turning this data into actionable intelligence and competitive advantage requires having the proper technology, people, and processes in place.  At the heart of being able to trust the information is ensuring […]

Couchbase Demo: Requirements Driving Modern Applications

  Download the slides here>> Changes in consumer behavior are driving the need for applications to be highly personalized and localized across industries and verticals. Use of a high-performance, feature-rich NoSQL database can support personalization based on behavior, geographical location, and the specific mobile and IoT devices that users are on and around. However, enterprises […]

Fluree Demo: The Great Escape – Liberating 20+ Years of Legacy Data into Knowledge Graphs and Semantics with AI 

  Download the slides here>> Most large enterprises struggle to adopt knowledge graphs and semantic models given years of investments in legacy mainframe, relational database and data warehousing technologies.  Because legacy data has been created and retained in source application schemas with zero semantic structure, the cost and complexity to convert to a universal-semantic data […]