Take the bias out of big data insights with augmented analytics (sponsored by Kyligence)

What if you could be sure that the business insight you present to your customers is objective and covers all relevant scenarios found in petabytes of multidimensional and variable data?

Analysts, engineers, and other users across the enterprise can ensure objectivity by augmenting their data management and analytics platforms with artificial intelligence and machine learning. Why is this important? Unleashing popular business intelligence (BI) tools on big data is manual, costly, and time intensive. Each data engineering step along the way is governed by human decision making, which is often biased.

Veteran data engineers Dong Li and Hongbin Ma offer an overview of augmented analytics and demonstrate how Kyligence Cloud 3.0 brings self-service augmented analytics to the enterprise, safeguards existing investments in BI tools, and implements a unified semantic layer to ensure adherence to global data standards. Dong and Hongbin also show how to attain dramatic performance improvements and reductions in human and cloud costs, using examples from a major global investment bank and a top-tier Chinese insurance company.

It’s a great feeling to stumble across insights that are initially surprising but upon further thought make total sense.

This session is sponsored by Kyligence.