The Real-Time Data Problem with LLMs

In many ways, generative AI has made finding information on the Internet a lot easier. Instead of spending time scrolling through Google search results, people can quickly get the answers they’re looking for with a simple natural language prompt. However, sometimes people have questions that require recent information, and because LLMs are trained on past … continue reading

Stop Paving the Cowpath: Why Agentic-First Is the Only Way to Build for the Enterprise

In the long arc of technology, Artificial General Intelligence may be looming somewhere beyond the horizon—faint, inevitable, and over-discussed. But in the enterprise—where risk is institutionalized and change moves at human speed—we are not ready to hand the keys to the machines. Not yet. For the next five years, the winning hand will not be … continue reading

Study Finds AI Is a Priority for Software Testing Teams, but Confidence Hinges on Accuracy and Reliability

Copenhagen, Denmark — Leapwork announces the results of a study examining how software teams approach AI in testing and what determines confidence in its use. The study , created in conjunction with SD Times Research, shows broad optimism about AI’s role in testing. Most organizations now view AI as a priority for their future testing strategy. … continue reading

Tabnine Fills the Organizational Context Gap for Enterprise AI

Tabnine, a leader in AI coding platforms, has introduced the Enterprise Context Engine (ECE), a new platform designed to solve a fundamental problem in enterprise AI: a lack of real, structured organizational context. As development organizations push AI beyond simple code completion into autonomous agents—reviewing code, updating services, and orchestrating changes across complex systems—the reliance … continue reading

Gartner acknowledges growth of Decision Intelligence Platforms with inaugural Magic Quadrant

The business world is on the cusp of a profound shift, moving away from the “data-driven” mantra to one that is “decision-centric,” powered by Decision Intelligence Platforms (DIPs). This emerging category, which recently saw its inaugural Magic Quadrant from Gartner signifies that the focus is shifting from simply analyzing data to actively augmenting and automating … continue reading

How Modern Data Integration Supercharges Software Development

Once upon a time, the largest pain point facing most enterprise software developers was writing and testing code. Thanks to the generative and agentic AI capabilities that have become widespread over the past few years, however, the coding part of development work has become substantially easier. But here’s an equally pressing challenge for software developers … continue reading

Revenium Launches Tool Registry to Give Developers Full Cost Visibility into AI Agent Deployments

HERNDON, Va. —  Revenium, the AI Economic Control System, today announced the general availability of the Tool Registry, which gives enterprises complete visibility into the true cost of their AI agent deployments. The solution goes beyond token tracking to capture the external API calls, data services, and human review steps that token-based monitoring leaves untracked. Tokens are … continue reading

Why Test Environments Fail—and What Top Teams Do to Avoid the Chaos

Modern DevOps pipelines are extraordinarily fast. Teams can spin up infrastructure instantly and automate builds and deployments. Yet despite these speed gains in tooling, many organizations still face slow, unpredictable, and painful release processes. It isn’t the CI system that holds releases back. It isn’t a lack of automation skills or test cases. It’s something … continue reading

How engineering teams are gaining market edge through systematic AI prompting

Right now, there’s a massive opportunity hiding in plain sight for most engineering teams. While AI coding assistants have become standard equipment in software development, our first-party research shows that only 23% of those teams are actually extracting meaningful productivity gains from these tools.  The remaining 77% have the same powerful technology at their disposal, … continue reading

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