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Insights

The 48-Hour Data Gap: Why Your Insights Are Always Too Late

ServicesOctober 9, 20254Views0Likes0Comments
Monday at 9 AM, the marketing director opens her dashboard to review weekend campaign performance. The numbers look promising: strong engagement, healthy click-through rates, solid conversion trends. She approves increased spending for the winning campaigns. By Tuesday afternoon, customer service reports are flooding in. The promoted product had a critical defect discovered on Saturday evening. Customers complained on…

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Data Scientists

Why Your Data Scientists Spend 80% of their Time Cleaning Data

ServicesOctober 6, 20258Views0Likes0Comments
When Amara joined the analytics team, everyone expected breakthroughs. She’d spent years mastering machine learning, fine-tuning models that could spot fraud before it happened. Six months later, her reality looks very different. Her mornings start with broken date formats. By midday, she’s buried in duplicate records. By evening, she’s still fixing customer names that appear a…

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LLM Projects

From AI Demo to Production: The DataOps Gap That Kills LLM Projects

ServicesSeptember 8, 202527Views0Likes0Comments
The boardroom presentation was flawless. A South African telecommunications company's custom LLM effortlessly answered complex customer service queries, generated personalized responses, and demonstrated a remarkable understanding of local context and languages. Executives were impressed, budgets were approved, and the AI team celebrated their success. Six months later, customer complaints flooded in about irrelevant responses and tone-deaf suggestions. The…

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