REDUCE GREENHOUSE GAS (GHG) EMISSIONS LEVERAGING AI AND DIGITAL TWINS

Artificial Intelligence (AI) could curtail global greenhouse gas (GHG) emissions by 4% to 16% by 2030, with approximately 75% of emissions originating from energy production, processes, and consumption. Developing AI solutions tailored to energy demands is crucial for achieving decarbonization objectives. It has been forecasted that achieving global net zero by 2050 would necessitate around $275 trillion in low-emission asset investments, offering substantial opportunities for businesses.
LivNSense™ is a B2B Climate Tech venture with unique positioning in Deep-Decarbonization offers award-winning AI Based SaaS platform (GreenOps™). ThPlatform that uniquely addresses the energy balance by harnessing the power of Artificial Intelligence (AI) and Digital Twins technology to impact decarbonization across process value chain with patented IPs. It captures the real-time process data by integrating with OT/IT systems, applies Energy-Balance AI Models based on industry/domain and generates predictive recommendations for real time actionable outcomes for GHG Intensity. The speaker would present background, challenges and application of AI technology to address the GHG emissions with case examples.