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.
What you'll learn
- Explore augmented analytics and learn how to implement it with Kyligence Cloud 3.0
Dong Li is a founding member and head of product at Kyligence, leading strategy, delivery, and growth of the enterprise product portfolio based on Apache Kylin. He’s also an Apache Kylin committer and PMC member. Previously, he was a senior software engineer in the Analytics Data Infrastructure Department at eBay and a software engineer in the Cloud and Enterprise Department at Microsoft.
Hongbin Ma is a founding member and vice president at Kyligence, leading the technical innovation of Kyligence’s enterprise data platform, based on Apache Kylin. He’s also an Apache Kylin committer and PMC member and ranked as the number-one code committer for a few years. Previously, he was a key contributor to Microsoft Research Asia’s graph database, Trinity. He’s most interested in query optimization, distributed database, and parallel computing.
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