Paul Kent

Paul Kent
VP, Platform R&D, SAS

Website | @hornpolish

Paul Kent is Vice President of Big Data initiatives at SAS. He spends his time discussing, evangelizing and developing software at the confluence of big data and high performance computing.

Paul was previously Vice President of the Platform R&D division at SAS and led groups responsible for the SAS foundation and mid-tier technologies, teams that develop, maintain and test Base SAS®, as well as related data access, storage, management, presentation, connectivity and middleware software products.

Paul joined SAS in 1984 and contributed to the development of SAS software components including PROC SQL, TCP/IP connectivity, the Output Delivery System (ODS) and high-performance initiatives.

A strong customer advocate, Paul is widely recognized within the SAS community for his active participation in the community and at local and international user conferences.

Paul was educated at WITS in South Africa, graduating with a Bachelor of Commerce with honors followed by graduate work interrupted to try an North American postin. He previously used computers to make better business decisions in the gold division of Anglo American.

Sessions

Sponsored, Grand Ballroom (NY Hilton)
Paul Kent (SAS)
Average rating: ****.
(4.25, 4 ratings)
In this rapid-fire keynote, we’ll introduce how virtually every new technology trend is inextricably linked – or should be to attain maximum leverage. We’ll discuss how you can use technologies such as cloud and mobility to spread the value of analytics pervasively across your virtual organization, and how that positively impacts your employees, customers and partners. Read more.
Paul Kent (SAS)
Average rating: ****.
(4.33, 3 ratings)
To unlock the value of Big Data, analytics must be applied. Some enterprises hire platoons of data analysts but many others can't afford to pring on such skilled and expensive resources. How do those businesses uncover opportunity and insight within Big Data assets? They use analytic tools that offload some data discovery to business professionals or deploy intelligent analytic appications. Read more.

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