The emergence of artificial intelligence (AI) is profoundly transforming the business technology landscape. This disruption is more than just an evolution; it’s a true revolution that is redefining how technology providers interact with businesses. As customer skills and expectations evolve, companies such as IBM, Microsoft, Salesforce, and SAP are finding new ways to differentiate themselves. The notions of infrastructure, orchestration, and management are becoming essential, embracing organizations in a dynamic ecosystem. Industry players are redefining their roles through intelligent agents and integrated modular platforms, promising a future where AI and technology are no longer mere tools, but catalysts for transformation.<\/p>\n\n
The shift to AI isn’t a gradual change; it’s acting like a veritable tsunami that is transforming the B2B sector. In this summer, when the pace of business slows, technology projects continue to evolve. From the IT revolutions of the 1990s to the advent of the cloud in the 2000s, technology continues to undergo a dynamic of major transformation. This new act, that of generative and agentic AI, is reconfiguring tools, business models, and even the relationships between different market players.<\/p>\n\n
Software vendors, once focused on isolated functionalities, are now moving toward intent-driven systems. This shift demonstrates that the focus is no longer on simply offering products, but on designing intelligent environments tailored to specific business objectives. As Michael Dell emphasized at the DTW 2025 conference: \u00ab\u00a0It is no longer applications that structure information systems, but intentions.\u00a0\u00bb<\/p>\n\n
Restructuring driven by rising customer expectations and technological advances is leading to instrumental fragmentation. Digital businesses are now forming ecosystems of specialized agents, requiring adaptive orchestration to maximize their effectiveness. Technology giants like Microsoft, Salesforce, and SAP are attempting to act as meta-orchestrators. Indeed, a new model is emerging, driven by a multitude of more modular platforms designed to integrate business agents on demand. Companies like Cognosys and Pegasystems perfectly illustrate this evolution. Moreover, this change has profound implications for IT stakeholders. AI isn’t just redefining products; it’s also reconfiguring jobs within the companies providing these technologies. For example, George Kurian of NetApp notes, \u00ab\u00a0We automated a significant portion of our development cycle, transforming 500 testers into developers.\u00a0\u00bb This phenomenon of agentification and automation is redefining roles and skills, raising the question: how will companies navigate this increasingly complex landscape? Structure of the AI Value Chain In this new ecosystem, the notion of a value chain is more relevant than ever. Companies must now evaluate their partners based on their ability to transform weak signals into relevant decisions. The structure of this value chain is becoming tri-structured, integrating three essential dimensions:<\/strong>Infrastructure: operators that provide critical elements, whether institutional or hyperscale. Orchestration: providers of intelligent environments capable of integrating various AI modules.<\/strong> Steering: strategic platforms that facilitate interaction between agents and business objectives. The rise of intelligent agents<\/strong> The transition to an artificial intelligence-driven model relies largely on the development of intelligent agents capable of adapting their actions according to business contexts. This rise is changing the way companies perceive and use their data. At Snowflake, for example, Beno\u00eet Dageville speaks of a transformation towards a \u00ab\u00a0cognitive layer of the enterprise.\u00a0\u00bb It’s no longer just about storing data, but about activating it into intelligent flows. Companies are also seeking to integrate these agents into their processes to increase efficiency and reduce human error. This transformation raises several crucial challenges:<\/strong> System Interconnection : Systems must communicate effectively to maximize the potential of agents.<\/strong> Data Management<\/p>\n\n : Companies must ensure their data is accessible and usable while complying with security and sovereignty standards. Flexibility<\/strong> : The adaptability of business processes to new requirements is essential for success.<\/p>\n\n AWS<\/p>\n\n Results BMW<\/strong>Using DeepSeek to improve vehicle characteristics in China<\/p>\n\n Increased customer satisfaction and optimized fleet performance.<\/p>\n\n The Importance of Data Sovereignty In an increasingly globalized world, data sovereignty issues are becoming crucial. Major technology providers are seeking to establish intermediation layers to secure data models and their use. However, sovereign alternatives are emerging, driven by players such as OVHcloud, Thales, and Outscale, which are developing local solutions that address regulatory concerns.<\/strong>According to George Kurian, it’s not just about data localization, but also about controlling information flows and orchestration logic. As issues such as data classification become more prevalent, companies must reevaluate their risk management strategies. This raises important questions: How important is data localization to your business?<\/strong> How do you balance technological innovation and regulatory compliance? What are the challenges associated with managing critical information flows?<\/strong> New fault lines in the technology sector<\/p>\n\n In this context, the ability to activate data, to integrate it into intelligent flows, while ensuring its security, is becoming the key to future success. This requires companies to continually adapt, seeking flexibility that will allow them to quickly respond to market needs while securing their strategic assets. It is undeniable that those who master these aspects will position themselves as leaders in this redefined market.<\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/p>\n\n <\/strong> <\/strong> <\/strong> <\/p>\n\n <\/p>\n\n\n","protected":false},"excerpt":{"rendered":" The emergence of artificial intelligence (AI) is profoundly transforming the business technology landscape. This disruption is more than just an evolution; it’s a true revolution that is redefining how technology providers interact with businesses. As customer skills and expectations evolve, companies such as IBM, Microsoft, Salesforce, and SAP are finding new ways to differentiate themselves. […]<\/p>\n","protected":false},"author":1,"featured_media":48860,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[6333,149,83791,83794,83788],"class_list":["post-48868","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-non-classe-en","tag-agents-en","tag-artificial-intelligence-en","tag-it-suppliers-en","tag-platforms-en","tag-value-chain-en"],"_links":{"self":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/48868","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/comments?post=48868"}],"version-history":[{"count":1,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/48868\/revisions"}],"predecessor-version":[{"id":48869,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/posts\/48868\/revisions\/48869"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media\/48860"}],"wp:attachment":[{"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/media?parent=48868"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/categories?post=48868"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mon-agent-ia.fr\/blog\/wp-json\/wp\/v2\/tags?post=48868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}A notable example is IBM, which is integrating agents into its solutions to improve real-time decision-making.<\/h3>\n\n
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As suppliers reposition themselves, new fault lines are appearing in the sector. The cognitive value chain model is emerging; it is becoming the determining criterion for judging supplier value. In other words, companies are now evaluating their technology partners based on their ability to transform interactions into tangible value.<\/h3>\n\n
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\n \nTowards an AI-driven future<\/th>\n As the technology ecosystem evolves, it is imperative for companies to take a proactive approach to change. Current dynamics reveal that change is not a process that is yet to come; It’s already underway. Customer expectations are becoming more sophisticated, as is their understanding of technology. In this context, providers must reevaluate how they present their offerings and services. The future is no longer built solely on data silos, but on a learning organization.<\/th>\n A quote from Michael Dell perfectly sums up this transformation: \u00ab\u00a0It’s no longer about building efficient silos, but a learning organization.\u00a0\u00bb Companies like ServiceNow, Palantir, and Atos embody this vision, seeking to build systems that allow data to flow freely and be optimally leveraged.<\/th>\n<\/tr>\n<\/thead>\n \n Looking to the future, the diversification of partners and technologies becomes a necessity. Businesses must engage in open collaboration practices, while keeping in mind the critical importance of data sovereignty. From then on, those who succeed in taking advantage of intelligent agents and platforms will position themselves not only as innovative players, but as strategic leaders capable of redefining industry standards.<\/strong><\/td>\n <\/td>\n <\/td>\n<\/tr>\n \n <\/strong><\/td>\n <\/td>\n <\/td>\n<\/tr>\n \n <\/strong><\/td>\n <\/td>\n <\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/figure>\n\n <\/h2>\n\n
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