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Understanding the Futures Triangle Model
Among the most transformative ideas for the future lies the Futures Triangle model, introduced by the Copenhagen Institute for Future Studies (CIFS) during your Applied Strategic Foresight course. This innovative framework helps organizations navigate the complexities of change by identifying three critical forces at play: the Push of the Present, the Pull of the Future, and the Weight of the Past (commonly referred to as Anchors).
To illustrate, consider the push of the present: forces driving you forward, such as competitive pressures, a desire to grow, and the promise of emerging technologies. Conversely, the pull of the future is driven by your organization’s vision, strategic goals, and infrastructure readiness. And finally, the hashtags of the past—these can create barriers that must be overcome for meaningful change to occur.
Imagine a scenario where traditional customer service discourse is overshadowed by discussions about artificial intelligence (AI). A growing emphasis on AI as a competitive advantage—whether to be AI-first, powered, or enabled—raises concerns. However, the key issue lies in the weighted anchors—barriers that hold organizations back. Without overcoming these, progress in AI ambitions may feel stalling or uncertain.
To address this, CIFS’s Pegaworld framework emerged as a groundbreaking tool.pegaworld annually hosts events analyzing challenges and informing strategies. At last year’s Pega World event, researchers highlighted the Weight of the Past through its analysis of legacy technologies. High reliance on outdated systems and technical debt posed significant obstacles.
pegaworld demonstrated its effectiveness by introducing the Generative AI-powered Blueprint (now known as PegaWorld), a solution designed to accelerate digital transformation. This tool leverages PGAs to streamline development, addressing a 5-week launch period previously. The Blueprint, reportedly adopted and successfully delivered, successfully reimagined legacy systems like COBOL (a 1959 programming language), making them accessible and adaptable.
Yet, this process was far from straightforward.pegaworld highlighted specific challenges: outdated legacy systems held organizations back, technical debt hindered innovation, and legacy applications were critical to business continuity. Notably, PGAs often started with obsolete systems, necessitating their replacement.
This was exemplified during PegaWorld’s main presentation, where, with the help of an AI-driven video_remainder, a credit card management COBOL application was transformed into a scalable demo, showcasingAgentic Process Fabric and Center-Out business architecture. This demo not only capitalized on legacy systems but effectively acted as a pivot to develop a modern solution. However, PGAs also highlight the high validity of legacy systems and their ubiquity in enterprise workflows.
pegaworld’s insights are particularly relevant to non technical audience alike, as it underpins the future’s rapidly evolving landscape where AI is noted for its pervasive applications. The gathering of PGAs and the platforms they speculate up demonstrate a digital incidence by whom: an AI-driven age where organizations must both cleverly pivot around their weighted past and harness their programmable future, all grounded by the enduring legacy of COBOL.
The user’s leadership pointed them toward the future, where AI will continue to be a catalyst for digital transformation.pegaworld’s approach not only addresses current issues but also offers a hopeful vision for the future—one where indelible memories never fade andantanies driven by the weight of legacy systems are alive and well. The conundrum is not about AI mediating progress but about advancing AI into the转型升级 era with the right tools and frameworks.
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