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Here’s How We Helped a Global FMCG Brand Process 100,000+ Quality Testing Documents with AI Without Losing Accuracy When a global FMCG manufacturer came to us, the problem wasn’t a lack of data. It was too much of it, trapped in the wrong format. Every batch of product that left their manufacturing facilities came with […]
How We Helped a Global FMCG Brand Process 100,000+ Quality Documents with AI Read More »
Why it matters: Most enterprise AI pilots never reach production. Here is why they stall and the data, governance and change moves that let the rare ones scale.
NBA Commissioner Adam Silver said the league plans to introduce an automated system for certain officiating decisions, including out-of-bounds calls. The system would use AI and cameras placed around the court to determine possession. Silver compared the approach to Hawk-Eye, the tracking technology used for line calls in tennis. Disputed call preceded Silver’s comments Silver’s
NBA plans AI system for automatic out-of-bounds calls Read More »
Although visitors to an event like TechEx North America will always want to see the cutting edge front and centre stage, the nuance and detail brought to the show by the speakers and exhibitors mean that it’s sometimes the smaller considerations that need to play big – at least, in the minds of enterprise decision-makers.
AI is a matter of power, infrastructure and security: TechEx North America Read More »
One of the greatest universal needs for homes and businesses alike has become reliable internet access. Whether it’s remote work, virtual learning, video streaming, or cloud-based business, internet speed and stability impact day-to-day life. In fact, as the need for speedy and reliable connectivity continues to rise, individuals across Utah are looking toward UTOPIA Fiber
Introduction One of the most common mistakes businesses make in IT service management is believing that a new tool will automatically solve operational problems. A platform gets replaced. New automation features are introduced. Dashboards become more advanced. Expectations rise quickly. But a few months later, support teams still struggle with delayed resolutions, inconsistent workflows, and
Introduction Development timelines are shrinking, but expectations are rising. US engineering teams are expected to ship faster, iterate more often, and still maintain production-grade quality. According to GitHub’s 2025 developer report, over 70% of teams now use some form of AI-assisted coding, yet many still struggle to translate that into real delivery speed. Here’s the
AI Code Generation Inside ADLC: How It Cuts Dev Time Without Cutting Quality Read More »
Introduction Here’s the thing companies are generating more data than ever, yet a surprising amount of IT data never makes it into leadership conversations. Dashboards exist, reports are shared, and analytics tools are in place. Still, when decision-makers sit down, IT insights often take a backseat. This isn’t just a communication gap. It’s a missed
The way we test software is changing — and it’s changing fast. Over the past couple of years, AI has moved from a buzzword in QA discussions to something teams are actively building into their workflows. If you’re working in software quality or engineering, understanding these shifts isn’t optional anymore. It’s part of staying effective.
Introduction Most software failures don’t happen during deployment—they begin with poor requirements. Recent industry insights show that only around 30–40% of software projects fully succeed, while the majority face delays, cost overruns, or scope issues. Unclear, incomplete, or constantly evolving requirements remain one of the leading causes behind these failures. If you’re a CTO or
ADLC vs Traditional SDLC: How AI Changes Requirement Gathering From Day One Read More »
