SAS offers AI and superior analytics options that flip knowledge into higher choices for all sorts of organizations.
To assist 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 turn into extra sustainable, scale 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 handle local weather change and adapt to its results,” stated SAS CEO Jim Goodnight. “Progressive and resilient organizations like Istanbul Metropolitan Municipality and the Wienerberger Group are making use of analytics from SAS to assist a greener tomorrow. Whether or not decreasing site visitors congestion or optimizing vitality use, they reveal a few of the some ways AI and superior analytics are additionally making a distinction right this moment.”
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 progress places huge stress on town’s transport community. Among 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 good metropolis digital infrastructure. With the assistance of SAS evaluation, Istanbul engineers and planners can higher perceive, forecast and handle town’s site visitors challenges.
Basically, the brand new system is powered by AI and machine studying working on SAS Viya. It analyzes historic site visitors knowledge and incorporates dwell knowledge streams from a rising community of sources, together with site visitors cameras, sensors, knowledge readers, cellular apps and cost gateways.
The outcomes of this evaluation can optimize bus routes with new site visitors and passenger knowledge to enhance service and route availability. It might additionally anticipate site visitors anomalies reminiscent of accidents, lane closures and sudden congestion areas in actual time by analyzing route densities, driver habits and journey maps. With analytics fashions, SME street operations can higher management site visitors indicators and notify drivers by means of digital signage and cellular 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,” stated Dr. Naim Erol Özgüner, CIO of IMM.
“This helps scale back congestion, decrease air pollution ranges and enhance the standard of life for our residents. The SAS-powered system helps Istanbul’s sustainability objectives, restores public confidence in mass transit, and in the end improves site visitors circulation, main to higher financial alternatives.”
Over the previous 12 months, EU international locations have dramatically minimize imports of Russian pure fuel and oil, imposing sanctions in response to Moscow’s brutal invasion of Ukraine. The curtailment – and the instability of vitality markets globally – has dramatically elevated vitality prices in Europe.
Wienerberger – from brick factories to data-driven factories
For Austria-based Wienerberger Group, a number one supplier of good and sustainable whole-building and progressive infrastructure options and the world’s largest brick producer, this instability meant on the lookout for methods to scale back vitality consumption, whereas decreasing greenhouse emissions and bettering. product high quality. Wienerberger turned to AI and IoT analytics from SAS, working SAS Viya on the Microsoft Azure Cloud, to assist optimize vitality prices and meet its formidable sustainability objectives. By 2023, the corporate goals to scale 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 using AI to different services.
Wienerberger collects knowledge from a variety of sources, from cutting-edge IoT gadgets and sensors in its factories to environmental knowledge on climate and humidity to product checks throughout and after manufacturing. All of this knowledge reveals fluctuations that may result in inefficiencies and pointless vitality use.
With brick drying kilns working at 1,475 levels Fahrenheit (800 levels Celsius), the aim is to scale back variability to search out ideally suited, 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 offers insights into adjustments that may scale back vitality consumption, enhance product high quality and scale back emissions.
“We use SAS AI and IoT analytics to attach all our knowledge streams and analyze the whole manufacturing course of. SAS evaluation brings info into the kiln, serving to our engineers and front-line employees acquire worthwhile perception into every stage and determine particular benchmarks to make brick drying and firing extra economical,” stated Florian Zittmayr, Workforce Load for Knowledge Science at Wienerberger AG.
Wienerberger is seeking to broaden its use of superior cloud analytics to 149 services in 23 international locations. By optimizing vitality consumption and decreasing CO2 emissions by means of SAS AI and IoT analytics, Wienerberger transforms brick-and-mortar factories into data-driven factories.
For extra on SAS industrial options that may assist organizations of any measurement, go to www.sas.com/en_us/business.html.
