Page 6 - 2016 Company Overview

Change what if to what’s next
SAS® Analytics for IoT
Organizations are now dealing with massive amounts of data from sensors and real-time data streams across the internet of things (IoT). No matter where your data lives – edge devices, data centers or the cloud – you need to get the most out of your IoT data, mining and analyzing it to detect patterns as events occur. With SAS Analytics for IoT, you can integrate, transform, visualize and analyze IoT data throughout the connected ecosystem, then close the IoT analytics loop by running big data analytics on data at rest. SAS Analytics for IoT helps customers make fast, con - dent decisions while reducing bandwidth and storage costs. And it covers the
full analytics life cycle – from data capture and integration to analytics and deployment. And, with SAS Event Stream Processing, you get real-time data management on IoT data to make it analytics-ready. SAS Event Stream
Processing can handle huge volumes of data at very high rates (e.g., millions of events per second) while intelligent ltering separates what’s relevant from all the noise. You’ll know what data to store and what you can ignore – before it’s even transmitted.
Arti cial intelligence: beyond human decisions The cloud and the IoT get even more personal when you think of them as the promising springboard to cognitive computing and arti cial intelligence (AI). The goal of both is to help people and machines interact in natural ways. The computer makes sense of the world around us – it senses, reads, listens and sees. It provides feedback and results by speaking or writing in natural language and by directing our actions.
SAS leads the pack for analytics in
a breadth of industries where we experience the human bene ts of smart
vehicles, smart stores and smart cities. SAS already works with major vehicle manufacturers, helping them equip cars and trucks of the future to be safer and more responsive to human needs and interaction. And SAS helps analyze streams of biometric data owing from wireless, wearable medical devices that allow patients to remain at home while under a physician’s care instead of enduring long hospital stays. SAS has supported AI technologies in analytics for decades and already contributes critical components to the cognitive computing mix. These include unparal- leled natural language processing and open, deep learning API (application programming interface) libraries sitting on top of advanced analytics, including the SAS Viya platform.
You have millions of micro-moments begging for intelligence. Analytics adds that intelligence to make better decisions faster.
By changing “what if?” to “what’s next?,” you can reach unprecedented levels of e ciencies and create experiences for your customers that bene t you both – and even change our world.