HEIKO CLAUSSEN
AI STRATEGY
Utilising AI in this way could have myriad benefits for key industries , including healthcare , supply chain and data centres . It can optimise these areas by lowering emissions and costs across important processes if organisations leverage the technology ’ s capabilities in data analysis and process optimisation to achieve greater sustainability .
AI also holds the potential to revolutionise crucial areas of business operations and can deliver real impact , optimising business performance , improving customer experiences and unlocking new sustainability opportunities .
From a sustainability perspective , providing greater agility in this way can enable organisations to drive sustainability efforts , adapt to changing business conditions and become more competitive .
“ Organisations should start by analysing energy-intensive processes and pinpointing inefficiencies , such as excessive energy consumption , high emission points , or waste in production lines ,” states Heiko Claussen , Senior Vice President of AI at AspenTech . “ AI can be particularly impactful in predictive maintenance , where it anticipates equipment failures and optimises operational schedules to reduce downtime and energy use .”
He adds : “ AI ’ s ability to enhance agility , provide insightful guidance , and automate routine tasks significantly boosts operational efficiency and strategic decision-making , positioning businesses to achieve greater success and sustainability .”
HEIKO CLAUSSEN
TITLE : SENIOR VICE PRESIDENT OF AI
COMPANY : ASPENTECH INDUSTRY : SOFTWARE
LOCATION : MASSACHUSETTS , UNITED STATES
Heiko is an innovator with 15 years of experience driving transformational change , leveraging AI and machine learning to solve complex problems . His role at AspenTech sees him leading global teams and building innovative solutions for sustainable growth , in addition to providing shared services to enable the company to stay ahead .
Reducing environmental impact with AI data insights However , implementing AI does not come without its challenges .
Some of the major obstacles include integrating AI into existing operations , as the technology may not be compatible with legacy infrastructure . However , businesses can use AI systems to sift through large datasets and optimise energy usage , reducing waste as a result .
“ AI can also monitor emissions in real -time , identifying sources of excessive emissions and suggesting corrective actions ,” Heiko adds . “ Machine learning models can analyse production processes to detect suboptimal
80 September 2024