Five Ways AI Can Help Industry Reach Sustainability Goals

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Heiko Claussen is SVP of AI at AspenTech, responsible for the company’s industry 4.0 strategy, industrial AI research and data science. Read Heiko Claussen's full executive profile here.

For decades, the public perception of AI came down to one of two choices. One was the friendly robots who work and live alongside humans, like WALL-E or Data fromWhile both concepts still lie firmly in the world of fiction, the reality is that—even if we don’t yet realize it—AI is already impacting the lives of millions around the globe.

While the impact of AI depends on each organization’s strengths and capabilities, there are five major areas where it will have the most impact going forward: identifying opportunities, efficiency, flexibility, reliability and optimization.Among the most exciting applications of AI is identifying new sustainability opportunities.to identify the best areas for renewable energy generation or to identify subsurface reservoirs for storing CO2.

AI-driven models could also allow companies to easily create robust schedules and optimize supply chains. Those efforts can minimize the emissions that arise from transporting inventory across the globe, as well as limiting the need to warehouse unnecessary inventory.

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