With this open ecosystem approach, we empower enterprises to not just adopt AI, but to build and sustain their own AI capabilities, driving innovation and growth. Stay tuned as we embark on this transformative journey together!
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Onboarding engineers shouldn’t take days of manual setup and senior oversight. By leveraging tools like .NET Aspire, Winget config, and Visual Studio settings export, we reduced new hire setup time from 1–2 days to under 4 hours. Here’s how we automated consistency and accelerated productivity from day one.
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This green paper offers a consulting perspective on how CEOs and executive digital leaders can responsibly and effectively position AI at the core of their modernization efforts. It explores how AI is empowering enterprises to operate with greater intelligence, agility, and foresight. With AI as a systemic capability woven into infrastructure, data platforms, applications, and decision-making processes, organizations can modernize in a way that is adaptive, scalable, and value-generating.
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Why are we building increasingly complex architectures when we haven't solved the fundamental reliability problems? Even state-of-the-art RAG systems frequently return irrelevant results, hallucinate confidently about non-existent policies, and struggle under real-world data loads.
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H2 2025 is not about digital exploration. It’s about scaling, securing, and sustaining the digital enterprise.
Technology transformation is no longer a side project, it is the business. The winners will be those who align bold vision with disciplined execution and technical fluency with human adaptability.
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AI coding tools are revolutionizing software development, speeding execution, and improving pattern use. Using agents for the refactoring of new and legacy code is incredibly powerful, but there are important considerations, risks, and opportunities that are not present in human refactoring efforts.
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The research in “The Illusion of Thinking” underscores a critical scalability limitation in today’s reasoning-focused LLMs: while these models may solve simple problems with ease, their performance can degrade abruptly when faced with slightly more complex tasks. This reveals a fundamental shortcoming in the way LLMs attempt to emulate the structured, step-by-step logic characteristic of classical algorithms or human reasoning.
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Just as HTML defines the structure and content of a webpage while HTTP enables it to be transmitted and interacted with over the internet, NLWeb defines a structured way for users to interact with websites using natural language, and MCP serves as the underlying protocol that makes those interactions possible.
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By championing human-centered innovation and relentless improvement, we aim to transform digital transformation from a challenge into a defining opportunity. Together, we can shape the next era of enterprise leadership.
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AI coding tools and agents are radically changing the way that software is written, but newer, much more expensive options are often not worth it. Prudence and individual benefits - not hype or industry benchmarks - should determine which ones should be considered.
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After attending Microsoft Build 2025, one message stood out: AI is no longer just a coding assistant—it’s becoming an essential part of the entire software development lifecycle, including testing. One area where this is especially impactful is unit testing, a task that’s often tedious, time-consuming, and frequently postponed until later in the development process.
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Enterprise organizations are entering a new era defined by generative AI and agentic AI. These technologies are not simply augmentations; they represent a reconfiguration of how businesses operate, innovate, and compete. This eBook outlines the strategic opportunities, current landscape, key risks, mitigation strategies, and implementation pathways for leveraging generative and agentic AI to drive enterprise value.
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