Big Data for Generative AI: What Reliable Programs Need From Their Data Big data for generative AI is valuable only when the information can be trusted, found, interpreted, and governed at the point of use. Enterprise…
How Big Data and AI Work Together in Generative AI Programs Big data and AI are often presented as if more enterprise data automatically makes generative AI more capable. In practice, volume is only one part of the…
Generative AI Technologies in Enterprise AI: Use Cases, Limits, and Integration Generative AI technologies become useful in enterprise AI when they are connected to a specific information problem, bounded by clear…
Enterprise AI: Choosing the Right Role for Generative AI Technologies Enterprise AI decisions become harder when generative AI is treated as a product category rather than a capability with specific strengths and…
Where Generative AI Technologies Fit in an Enterprise AI Strategy Generative AI technologies can create useful language, code, summaries, explanations, and conversational interfaces, but those strengths do not make…
Where Business AI Programs Lose Value During Implementation Business AI programs rarely lose value because a model cannot produce an impressive output. They lose value when the output reaches a real workflow and nobody…
AI for Business Programs: Aligning Use Cases, Data, and Governance AI for business programs often stall when use cases, data, and governance are planned as separate workstreams. A team may select an attractive AI…
Using AI for Business: What AI Program Leaders Need to Prioritize Using AI for business requires program leaders to prioritize operating conditions, not just models and use cases. A portfolio can contain promising…
Choosing Generative AI Use Cases Around Value, Risk, and Workflow Fit Choosing generative AI use cases around value, risk, and workflow fit is more reliable than ranking ideas by novelty or executive visibility. A use…
Where GenAI Technology Fits Across Business Workflows and Decisions GenAI technology fits across business workflows in different roles, and those roles should not be treated as interchangeable. In one process, the…