Understanding how your operations are performing and identifying opportunities for improvement are vital. By applying machine learning, Plutoshift can help leaders go further to accurately predict potential violations, forecast how they are trending against their sustainability goals, and identify novel ways to innovate while also reducing operational costs.
Delivering on sustainability goals can mean driving efficiency and reducing impact for a single site, or even a single process. However you also need to understand your total impact at the enterprise level. Plutoshift's provides the flexibility to start optimizing and measuring sustainability for a single process and scale it with your program.
Energy (kWh) saved per site per year
Gallons of water saved per site per year
Gallons of chemicals saved per site per year
Tons of CO2 emissions reduced per site per year
Discover how AI and Machine learning applied to chemical dosing can ensure compliance, reduce costs, and drive sustainability. We explore how leading organizations are leveraging data to realize greater operational efficiency and mitigate the climate impact of their dosing operations. … Read More
The importance of local and cultural knowledge in a global tech economy, the ethical obligations of technological producers in the West to technological development in developing countries, and how AI transforming the landscape of the developing world. … Read More
In this episode, Frank and Andy speak to Prateek Joshi about how data can be used to reduce emissions, optimize resource utilization, and more. … Read More