The SAS future: Talking opportunities, succession, new IoT division, blockchain, augmented reality, more with Goodnight's No. 2 WRAL TechWire

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CARY – Oliver Schabenberger, to use a military term embraced by industry, is "dual hatted." And as chief operating officer as well as chief technology officer at SAS, he serves as No. 2 to CEO and co-founder Jim Goodnight. So no one other than Goodnight has a better hands-on, inside view of the 2018 landscape and beyond for the global software firm that is one of the world's biggest big data juggernauts with an industry-leading emphasis on analytics. And a big part of that future is the Internet of Things as SAS moves to create a division focusing on IoT, which is transforming tech around the world and is forecast as a multi-trillion dollar opportunity by Cisco as well as other firms.


Technology, Talent, and Ecosystem

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The pace of technology disruption has reached a crescendo in 2018. Society, in general, and industry and government, in particular, are spiritedly embracing digital technologies. Technologies such as Artificial Intelligence, Internet of Things, Augmented Reality, Virtual Reality, Machine Learning, Big Data Analytics, Robotic Process Automation, and 3D Printing are increasingly becoming mainstream, cutting across industries. For instance, blockchain was originally thought to be an application in financial services and retail. It has now found its way into agriculture, healthcare, governance, logistics, etc.



4 Big Data Trends to Watch

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The hope for the next generation of businesses is that the large quantities of data, which is accessible to the masses, can help in planning everything from better decision making to executing better marketing campaigns.


Most companies still don't understand big data and AI -- and their potential?

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For nearly every industry, from communications to energy, architecture to real estate, the power of big data to provide intelligent insight can't be overstated. The fine-grained detail and big picture are both visible at this level, both captured by careful analysis of huge datasets. But make no mistake: huge isn't an exaggeration. When a dataset reaches into billions of points of information, it simply exceeds human capacities. That's where cutting-edge artificial intelligence (AI) and machine learning come in.