Theme: resilience. Letter from the editors: the report covers 'the opportunities, strategies, and technologies that will drive new plans during the next 18 to 24 months and beyond'. Nine trend chapters. The 'Macro technology forces' chapter is a taxonomy, not a trend, and is not recorded; it says 'We expect horizon next technologies to mature over the coming decade' (ambient experience, exponential intelligence, quantum). Published month not stated in the PDF.
As a result, companies are transforming strategy development from an infrequent, time-consuming process to one that’s continuous and dynamic, helping strategists think more expansively and creatively about the wide range of future possibilities.
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In the coming months, we expect to see creative approaches for financially reengineering the core modernization business case gain traction in the marketplace.
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Over the next 18 to 24 months, we expect to see manufacturers, retailers, and others take supply chain transformation to the next level by optimizing their supply chain ecosystems for resilience and risk.
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To realize the broader, transformative benefits of AI and ML, the era of artisanal AI must give way to one of automated, industrialized insights.
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In the next 18 to 24 months, we expect to see companies begin addressing this challenge by reengineering the way they capture, store, and process data.
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Zero trust is rooted in the concept that modern enterprise environments necessitate a different approach to security: There’s no longer a defined perimeter inside which every user, workload, device, and network is inherently trusted.
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Companies may be able to overcome the digital workplace’s deficits and ambiguities by more intentionally embracing its positive aspects, including the data generated by workers’ tools and platforms.
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During the next 18 to 24 months, we expect to see leading companies embrace the bespoke for billions trend by exploring ways to use human-centered design and digital technology to create personalized, digitally enriched interactions at scale.
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Over the coming months, we expect enterprises to adopt new tools that incorporate advanced analytics, automation, and AI, including natural language processing and machine learning, to help inform, deliver, and measure the impact of DEI.
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