SAS supplies AI and superior analytics options that flip information into higher selections for every type of organizations.
To help greener enterprise methods, main organizations are more and more turning to AI, machine studying and Web of Issues (IoT) analytics. These applied sciences assist them develop into extra sustainable, cut back emissions and develop smarter and extra environment friendly operations.
On the coronary heart of those options is SAS By way ofSAS’s cloud-native, massively parallel AI and analytics platform.
“A sustainable future requires science- and data-driven options to deal with local weather change and adapt to its results,” mentioned SAS CEO Jim Goodnight. “Modern and resilient organizations like Istanbul Metropolitan Municipality and the Wienerberger Group are making use of analytics from SAS to help a greener tomorrow. Whether or not lowering site visitors congestion or optimizing power use, they reveal a few of the some ways AI and superior analytics are additionally making a distinction at present.”
Istanbul optimizes site visitors with AI
The inhabitants of Istanbul, Turkey’s bustling enterprise and monetary capital, has doubled over the previous 20 years to 16 million. This development places monumental stress on the town’s transport community. A number of the world’s most congested site visitors jams in a maze of native streets and on trendy highways and bridges.
Istanbul Metropolitan Municipality (IMM) turned to SAS to create sensible metropolis digital infrastructure. With the assistance of SAS evaluation, Istanbul engineers and planners can higher perceive, forecast and handle the town’s site visitors challenges.
Basically, the brand new system is powered by AI and machine studying operating on SAS Viya. It analyzes historic site visitors information and incorporates stay information streams from a rising community of sources, together with site visitors cameras, sensors, information readers, cell apps and cost gateways.
The outcomes of this evaluation can optimize bus routes with new site visitors and passenger information to enhance service and route availability. It may well additionally anticipate site visitors anomalies reminiscent of accidents, lane closures and sudden congestion areas in actual time by analyzing route densities, driver conduct and journey maps. With analytics fashions, SME highway operations can higher management site visitors alerts and notify drivers via digital signage and cell apps.
“With SAS AI and Analytics, Istanbul municipal administration can assess site visitors circumstances in actual time, anticipate congestion downside spots and intelligently direct site visitors and information residents on their journeys,” mentioned Dr. Naim Erol Özgüner, CIO of IMM.
“This helps cut back congestion, decrease air pollution ranges and enhance the standard of life for our residents. The SAS-powered system helps Istanbul’s sustainability targets, restores public confidence in mass transit, and finally improves site visitors circulation, main to raised financial alternatives.”
Over the previous yr, EU international locations have dramatically reduce imports of Russian pure fuel and oil, imposing sanctions in response to Moscow’s brutal invasion of Ukraine. The curtailment – and the instability of power markets globally – has dramatically elevated power prices in Europe.
Wienerberger – from brick factories to data-driven factories
For Austria-based Wienerberger Group, a number one supplier of sensible and sustainable whole-building and modern infrastructure options and the world’s largest brick producer, this instability meant in search of methods to cut back power consumption, whereas lowering greenhouse emissions and enhancing. product high quality. Wienerberger turned to AI and IoT analytics from SAS, operating SAS Viya on the Microsoft Azure Cloud, to assist optimize power prices and meet its bold sustainability targets. By 2023, the corporate goals to cut back emissions by 15% in comparison with 2020 and be utterly local weather impartial by 2050.
Working with SAS, Wienerberger chosen a manufacturing unit in Poland for an preliminary mission. As one of many brick maker’s best-performing crops, the profitable mission now serves as a template for increasing the usage of AI to different services.
Wienerberger collects information from a variety of sources, from cutting-edge IoT gadgets and sensors in its factories to environmental information on climate and humidity to product checks throughout and after manufacturing. All of this information reveals fluctuations that may result in inefficiencies and pointless power use.
With brick drying kilns working at 1,475 levels Fahrenheit (800 levels Celsius), the aim is to cut back variability to seek out ultimate, repeatable manufacturing steps.
SAS helped Wienerberger develop a digital twin of its brick manufacturing processes that helps clarify the fluctuations. The AI-powered digital twin additionally supplies insights into adjustments that may cut back power consumption, enhance product high quality and cut back emissions.
“We use SAS AI and IoT analytics to attach all our information streams and analyze all the manufacturing course of. SAS evaluation brings info into the kiln, serving to our engineers and front-line staff achieve priceless perception into every stage and establish particular benchmarks to make brick drying and firing extra economical,” mentioned Florian Zittmayr, Group Load for Information Science at Wienerberger AG.
Wienerberger is trying to develop its use of superior cloud analytics to 149 services in 23 international locations. By optimizing power consumption and lowering CO2 emissions via SAS AI and IoT analytics, Wienerberger transforms brick-and-mortar factories into data-driven factories.
For extra about SAS industrial options that may assist organizations of any measurement, go to www.sas.com/en_us/trade.html.
