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Your data is dirty. Not because your staff is careless — but because legacy systems were designed to be forgiving. Over decades, phone number fields became notes, dates changed meaning, duplicates piled up, and rules were quietly broken to keep operations moving. The problem is what happens next. A…
Most government RFPs aren’t vague because teams are careless — they’re vague because people are trying to be “fair.” Broad language feels safe. In reality, it’s exactly what gets agencies sued, protested, and stalled for years. In this episode of Untangled, we break down why subjective RFP language…
The best-of-breed versus all-in-one ERP debate is framed as a choice — but that framing is the problem. Both sides are selling you something, and neither is telling the full truth. In this Untangled conversation, we break down why this isn’t an ideological decision and why agencies that treat it th…
Most government AI pilots don’t fail because the technology is bad. They fail because the problem was wrong, the data wasn’t ready, the demo lied, and no one defined what success actually meant. In this Untangled episode, we break down why 90%+ of AI pilots never make it to production — and why fla…
Rechtliche Hinweise: Der auf dieser Seite eingebettete Podcast und das Bildmaterial stammen von Abhijit Verekar, das Eigentum seines Eigentümers ist und nicht mit Listen Notes, Inc. verbunden ist oder von diesen unterstützt wird.