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.
Read MoreAI 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.
Read MoreThe 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.
Read MoreJust 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.
Read MoreBy 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.
Read MoreAI 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.
Read MoreAfter 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.
Read MoreEnterprise 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.
Read MoreMCP, or Model Context Protocol, is an open source standard for connecting artificially intelligent agents to external systems.
Read MoreAt Microsoft Build 2025, GitHub Copilot and the Model Context Protocol (MCP) were not just announcements—they were signals. We are not being asked to adopt new tools; we are being asked to rethink how software is built, governed, and scaled. Copilot is evolving from autocomplete to autonomous collaborator. MCP is laying the groundwork for secure, interoperable AI agents. The opportunity is massive—but only for teams willing to pair velocity with vigilance. Plan for autonomy, build for control.
Read MoreMany experienced software developers have remained individual contributors and are not currently playing the role of tech lead, but coding agents will now be their direct reports. Like it or not, human engineers will have to talk to the agents daily, correct them, and make sure they do a good job. These human developers are now faced with a choice: either be in charge of the agents, or compete with them directly.
Read MoreMany AI initiatives stall or fail because organizations overlook the importance of governance, process, and execution. Governance is not a back-office concern. It is the foundation that determines whether AI efforts will scale, deliver value, and operate safely.
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