Innovation

Analytics | Data for Good | Innovation
Jerry Williams 0
AI and sustainability: Balancing innovation with environmental impact

Artificial Intelligence (AI) can drive environmental innovation (EI) in sustainability and reduction of carbon emissions. However, the use of AI itself also comes with environmental costs. The high computational requirements of AI-based systems lead to significant energy consumption, contributing to greenhouse gas emissions. The energy consumption of AI systems can

Analytics | Innovation
Jessica Curtis 0
5 key questions to guide your connected factory strategy

Consumer goods manufacturers have faced significant challenges over the past few years due to rapidly changing demand and supply disruptions in their end-to-end supply chain. As a result, manufacturers have realized the need to strengthen their resilience and have prioritized assessing their manufacturing capacity to maximize output and automation. To

Analytics | Artificial Intelligence | Equity and Responsibility | Innovation
Kristi Boyd 0
Generative AI: Benefits, risks and a framework for responsible innovation

Generative AI (GAI) is a category of AI that can create new content, including video, audio, images and text. GAI has the potential to change the way we approach content creation. It’s gotten much attention lately. Take ChatGPT for example. The AI chatbot has captivated the public’s imagination with clever

Analytics | Artificial Intelligence | Innovation | Machine Learning | Risk Management
Joe Nyangon 0
Managing stranded asset risks in the energy sector with analytics

As the world moves toward a low-carbon future, the power and utilities industry faces significant financial and reputational risks due to the potential stranding of resources and assets. This transition to carbon-free energy sources could render carbon-intensive assets – such as coal- and gas-fired power plants, coal mines and hydrocarbon