Orlando, United States – To assist greener enterprise methods, organisations are more and more turning to AI, machine studying and Web of Issues (IoT) analytics. These applied sciences are serving to them change into extra sustainable, cut back emissions, and develop smarter and extra environment friendly operations.
SAS presents AI and superior analytics options that enhance knowledge into higher choices. Underpinning these options is SAS Viya, SAS’ cloud-native, extremely parallel AI and analytics platform.
“A sustainable future requires options grounded in science and knowledge to deal with local weather change and adapt to its results,” says SAS CEO Jim Goodnight. “Revolutionary and resilient organisations just like the Istanbul Metropolitan Municipality and Wienerberger Group are making use of analytics from SAS to assist a greener tomorrow. Whether or not decreasing site visitors congestion or optimising vitality utilization, they display among the some ways AI and superior analytics are additionally making a distinction at present.”
Istanbul optimises site visitors with AI
The inhabitants of Istanbul, the bustling enterprise and monetary capital of Turkey, has doubled during the last 20 years, reaching 16 million. This progress places huge stress on the town’s transportation community. A number of the world’s most congested site visitors creates gridlock in a labyrinth of native streets, and on fashionable highways and bridges.
The Istanbul Metropolitan Municipality (IMM) has turned to SAS to create smart-city digital infrastructure. With SAS analytics, Istanbul’s engineers and planners can higher perceive, forecast and handle the town’s site visitors challenges.
At its core, the brand new system is powered by AI and machine studying working on SAS Viya. It analyses historic site visitors knowledge and incorporates reside knowledge feeds from a rising community of sources, together with site visitors cameras, sensors, knowledge readers, cellular functions and cost gateways.
The outcomes of this evaluation can optimise bus routes with new site visitors and passenger knowledge to enhance service and route availability. It will probably additionally anticipate site visitors anomalies resembling accidents, lane closures and sudden areas of congestion in actual time by analysing route densities, driver habits and journey maps. With analytics fashions, IMM highway operations can higher management site visitors indicators and notify drivers by means of digital signage and cellular apps.
“With SAS AI and analytics, Istanbul’s municipal authorities can assess site visitors situations in actual time, anticipate congestion hassle spots, and intelligently route site visitors and information residents on their journeys,” says 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 in the end improves site visitors movement that results in higher financial alternatives.”
Over the past yr, EU nations have dramatically reduce imports of Russian pure gasoline and oil, imposing sanctions in response to Moscow’s brutal invasion of Ukraine. The reduce – and instability in vitality markets globally – has dramatically elevated vitality prices throughout Europe.
Wienerberger – from brick crops to data-driven factories
For Austria-based Wienerberger Group, a supplier of good and sustainable options for your entire constructing envelope in addition to infrastructure options and a brickmaker, this instability has meant a seek for methods to scale back vitality consumption whereas reducing greenhouse emissions and enhancing product high quality. Wienerberger turned to AI and IoT analytics from SAS, working SAS Viya on Microsoft Azure Cloud, to assist optimise vitality prices and obtain its bold sustainability targets. By 2023, the corporate goals to scale back emissions by 15% in comparison with 2020 and be utterly climate-neutral by 2050.
Working with SAS, Wienerberger chosen a manufacturing unit in Poland for an preliminary challenge. As one of many brickmaker’s performing crops, the challenge now serves as a template for increasing the usage of AI to different amenities.
Wienerberger collects knowledge from a variety of sources, from IoT edge units and sensors all through its factories to environmental knowledge on climate and humidity to product spot checks throughout and after manufacturing. All this knowledge reveals fluctuations that may result in inefficiencies and pointless vitality use.
With kilns for drying bricks working at 1,475 levels Fahrenheit (800 levels Celsius), the objective is to scale back variability to seek out supreme, 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 presents insights into adjustments that may decrease vitality use, enhance product high quality and cut back emissions.
“We use SAS AI and IoT analytics to hyperlink all our knowledge streams collectively and analyse your entire manufacturing course of. SAS analytics brings intelligence to the kiln by serving to our engineers and frontline staff acquire invaluable insights into every step and establish particular setpoints to make the drying and firing of bricks extra economical,” says Florian Zittmayr, group lead for knowledge science at Wienerberger AG.
Wienerberger is looking for to broaden the usage of superior analytics within the cloud throughout 149 amenities in 23 nations. By optimising vitality consumption and decreasing CO2 emissions by means of SAS AI and IoT analytics, Wienerberger is popping brick crops into data-driven factories.
For extra on SAS trade options that may assist organisations of any dimension, go to SAS.
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