Accenture

For global refrigeration manufacturers, growth has become harder not because demand is slowing, but because internal complexity can begin to outpace the organization’s ability to scale. Global refrigeration leader Epta, operating across more than 40 sites in Europe, the Americas, and Asia, reached this point as two key factors converged.

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Cyber resilient organizations survive to thrive in an ever-changing threat landscape. Acknowledgements Thank you to all who leant their expertise and insights to this research. Authors: Harpreet Sidhu, Jason Lewkowicz, Charlie Hosner and Yusof Seedat. Contributors: Vikram Desai, Rouzbeh Hashemi and Lachlan George.

AI readiness refers to the essential capabilities that organizations need to maximize the value they derive from AI such as having quality data that is easily accessible, a skilled workforce, and appropriate processes in place. Accenture’s AI Progress Barometer tracks how the AI readiness of approximately 3,000 of the world’s largest companies evolves over time, benchmarking each company against peers across industries and regions.

Data breach costs continue to surge in the U.S., reaching an all-time high of $10.22 million in 2025 per incident, up 9% year over year. Additionally, AI is compressing the window between a vulnerability being discovered and exploited from months to mere hours.

Why the traditional data center playbook is evolving The industry’s traditional playbook treated power as something to resolve after site selection. AI-scale demand has made that approach untenable, and the race to secure as much capacity as possible is adding pressure to already constrained systems. Power now determines which sites are viable, how quickly they can ramp and what returns can be expected.

Commodity trading has always rewarded speed, judgment and risk appetite. But the basis of advantage is changing. Today, the constraint is no longer access to information but the ability to interpret, prioritize and act on it faster than competitors. AI is not just improving decisions. It is enabling a new system for making them. We call this the commodity decision engine. Trading is evolving from periodic strategy deployment into a living system of hypothesis, testing and adaptation.

The critical context Eighty-one percent of the organizations we surveyed have achieved at least a 5% improvement in gross written premiums so far from data and AI initiatives across their organizations, with 7% achieving improvements over 20%, driven by better pricing, personalization and cross-selling. As insurers continue using AI to improve the bottom-line, they’re also achieving faster underwriting cycle time and improving accuracy and pricing, resulting in lower loss ratios.

As Coretura’s engineering partner, Accenture brings SDV and broader automotive engineering capabilities, including strengths in electrical and electronic (E/E) architecture and software abstraction, as well as proven experience from the commercial and passenger car industry. Combined with Coretura’s platform vision, these capabilities will enable fast, seamless innovation for the entire commercial vehicle industry.

The partnership begins with foundational transformation work to help strengthen the Seahawks’ data infrastructure strategy and platform design, unlocking new opportunities across fan engagement, business operations and future innovation. “This partnership reflects a shared belief that the future of sport will be built through innovation and is being reinvented with technology,” said Erica Tapper, director of operations, Communications, Media and High-Tech, Accenture.