KX | Cultivate Sustainable Computing and Environmentally Responsible Analytics in an AI Age

With the deluge of new Generative AI technologies, it’s easy for businesses to lose track of their ESG (Environmental, Social, and Governance) principles.

Our new whitepaper, Cultivate Sustainable Computing and Environmentally Responsible Analytics in an AI Age, identifies the escalation of AI demands and the new challenges they bring to boards, technology providers, and consumers. It then seeks to provide practical solutions to address them, including:

Managing reputational risks, costs, and compliance.
Predicting waste and balancing the scale vs cost dilemma.
Avoiding greenwashing and ensuring absolute credibility in ESG principles.

Environmental Analytics Use Cases

We also put the KX vector, time series, and real-time analytics engine, kdb, through its paces with two environmental analytics use cases:

ESG as a Business and Social Imperative – managing reputational risk with ‘good’ ESG data.
The Role of Anomaly Detection and Predictive Maintenance in Waste Reduction – the importance of observability and machine learning for predictive and real-time responses to waste.

G2 Easiest to do Business with Fall 2023

Cultivate Sustainable Computing and Environmentally Responsible Analytics in an AI Age

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Environmental Analytics Use Cases