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Build or Buy: Choosing Your Enterprise AI Path
MIT's GenAI Divide research found that enterprises buying AI from specialist vendors succeed roughly two-thirds of the time. Internal builds succeed at a fraction of that rate. Before your engineering team gets to work, hold that thought. The finding is real, but it is also widely misread. Because "build or buy" is the wrong shape of question, and answering it at company level is how organisations end up with a $12 million custom model that a commercial API now outperforms fo
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Why Legacy Systems Break AI Projects
Enterprises lose roughly $370 million a year each to technical debt, according to research from Pegasystems and Savanta. Gartner and PwC put 60% to 80% of the average IT budget into simply keeping existing systems alive. Now add an AI mandate on top of that. The board wants agents in production by Q3. You already know how this goes. The demo worked. The integration didn't. Nearly every stalled AI programme follows the same arc. The proof of concept impresses everyone. Then so
Why AI Pilots Stall Before Production
Deloitte surveyed 3,235 leaders across 24 countries. Around three-quarters expect to be using agentic AI at least moderately within two years. Only 21% have a mature governance model for autonomous agents. McKinsey's read is blunter still. Roughly two-thirds of enterprises have experimented with AI agents. Fewer than one in ten have scaled them to the point of delivering measurable value. Gartner expects more than 40% of agentic AI projects to be cancelled by 2027. Somewhere
Why Hands-Free Data Entry Is the Next Frontier for Smart Factories
Manufacturing, Voice Agent, AI Solutions Walk into most manufacturing facilities today and you'll find a paradox. Millions of dollars invested in automation, robotics, and real-time monitoring systems — and yet, in the middle of all that technology, operators are still stopping what they're doing to type data into a terminal. Production counts. Quality observations. Maintenance reports. Shift handover notes. The amount of data that needs to be captured on a factory floor is
LIMS vs Spreadsheets: The Real Cost of Managing a Clinical Lab on Excel
Healthcare, LIMS, Consulting Excel is remarkable software. For the breadth of tasks it can handle, its flexibility, its ubiquity, and its relative ease of use, it has earned its place as one of the most widely used business tools ever built. It was not, however, designed to manage a clinical laboratory. And using it for that purpose has consequences that most lab managers underestimate until they are dealing with them. How Labs End Up Dependent on Spreadsheets The path to s
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Build or Buy: Choosing Your Enterprise AI Path
MIT's GenAI Divide research found that enterprises buying AI from specialist vendors succeed roughly two-thirds of the time. Internal builds succeed at a fraction of that rate. Before your engineering team gets to work, hold that thought. The finding is real, but it is also widely misread. Because "build or buy" is the wrong shape of question, and answering it at company level is how organisations end up with a $12 million custom model that a commercial API now outperforms fo
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