Data's impact extends far beyond economics—it's a powerful force with significant environmental implications.
The exponential rise in energy-intensive data usage is staggering: from 200 TWh in 2016 to a projected 2967 TWh by 2030. This surge in data consumption brings escalating costs, amplified CO2 footprints, and mounting environmental concerns. The shift towards environmental, social, and governance (ESG) consciousness adds further pressure, risking revenue churn among environmentally-conscious consumers.
It's time for organizations, regulators, and society to acknowledge the true costs of data management. Our article explores strategies for heightened awareness and responsible practices.
Cloud computing emerges as a pivotal tool in this journey towards sustainability, aligning seamlessly with ESG-driven business models.
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When the Seat Is Empty, Risk Does Not Pause
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The latest piece from A&M's Digital & Technology Services team explores where technology leadership gaps become most expensive and why interim leaders with former operator experience can stabilize execution, protect value, and give the incoming permanent leader a foundation to move from assessment to action.
Why Human-centered Design Matters in AI Strategy
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A&M's Digital & Technology Services team explores why human-centered design is the missing layer in AI strategy and how the organizations winning with AI are designing better human–AI systems, not just deploying better tools.
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