Expert insights on data strategy
AI is expensive for chatbots. Batch processing has different economics. Learn about batch API discounts, model selection, and when AI costs less than human labor.
Every organization has decades of data trapped in formats machines couldn't understand. LLMs change that. Here's how AI solves the dirty data problem traditional automation couldn't crack.
The AI bubble question is everywhere. Valuations are stretched. Skepticism is warranted. But bubbles burst speculation, not value. Here's what's real and why you shouldn't sleep on it.
Forget the tech debt. These strategic shifts change how your organization uses data, and they start with conversations, not code.
Data quality isn't a one-time fix, learn how to execute, measure, and evolve your data strategy to drive real business impact while staying ahead of change.
Your data strategy will fail without the right culture. Learn how to build executive buy-in, drive data literacy across your organization, implement governance that enables rather than restricts, and overcome resistance to change.
Transform your data strategy assessment into an actionable roadmap. Learn how to prioritize initiatives based on business value, break down data silos, set meaningful success metrics, and build a flexible 12-18 month plan that drives real results.
Most organizations claim to have a data strategy, but few can explain it. Learn the three critical reasons data strategies fail and discover the five foundational elements needed to build a strategy that aligns with business objectives and drives real value.