Capgemini-从成本到价值：用人工智能重塑ADM（英）

From cost to value:Reinventing ADM with AIAs technology becomes increasingly vital to businesses, the role of the CIO has evolved – they must now be as comfortable wearing their business suit as they are wearing their technology hoodie. Moving effortlessly between the worlds of business and technology, they manage an evolving technology landscape while driving change across business units. They think about technology and introduce new technologies, but in pursuit of solving business challenges. The increasing interest in using artificial intelligence for various business challenges has intensified this issueAccording to CIO.com’s 2025 State of the CIO survey, more than 25% of CIO respondents identified improving IT operations, aligning IT initiatives with organizational objectives, cost management, and fostering business innovation as primary areas of focus in their current roles.Additionally, eighty percent of organizations have increased their investment in generative AI (Gen AI) since 2023, according to a recent Capgemini Research Institute report. Companies see AI as a tool to transform how work gets done across business units, with benefits such as improved productivity, enhanced customer service, and increased sales. However, adopting AI for the enterprise isn’t as simple as writing a prompt for a large language model (LLM). Managing the foundational technology landscape needed to support AI is complex and expensive, and when data estates are fragmented, there is an inability to properly leverage it. There is also the added challenge of integrating new technologies into legacy systems.And, as AI agents gain traction, how can CIOs manage the challenges of AI while driving innovation at their organizations? 32From cost to value: Reinventing ADM with AIDemonstrating the value of IT in the business worldMeeting the new CIO objectivesExpectations of the IT landscape’s ability to drive business change continue to rise. However, landscapes are frequently populated by siloed systems, manual processes, and a lack of integration across applications and data sources which hold organizations back from realizing their goals. The resulting inefficiencies, high costs, and slow response times make it difficult to adapt to challenges and seize opportunities. To find solutions to these problems, CIOs turn to vendors. However, vendor landscapes aren’t delivering the expected value, with 56% of buyers adjusting their vendor mix to better satisfy performance or cost reduction needs, according to Everest Group. And the transformation budgets required to modernize the application landscape to utilize AI and machine learning (ML) aren’t increasing either, despite the need.The rise of AI has triggered the need for full visibility and real-time data insights, supported by scalable, agile solutions. To make the switch from reactive to predictive operations and accelerate application delivery, organizations are searching for ways to modernize their IT landscapes and