There is an AI bubble, but it is not driven by a lack of value in the technology itself, the gap comes from how it is being implemented. Many initiatives underestimate what it takes to move from experimentation to meaningful results. AI is often positioned as a plug-and-play product instead of the final layer of a broader data and operational foundation. As investment in AI continues to accelerate, the distance between expectations and measurable outcomes has become harder to ignore....

In 2026, AI is no longer experimental. It shows up in everyday tools, appears in planning discussions, and is often expected by leadership teams. At the same time, many organizations are realizing that AI is not always the right answer. What separates teams making progress from those feeling stuck is not access to technology. It is having solid data foundations and clarity around how decisions are made. When those are missing, even well-intentioned AI initiatives struggle to deliver value. At...

Conversational Business Intelligence (BI) helps teams interact with data using natural language while still getting answers grounded in real business rules. Instead of digging through dashboards or waiting on analysts, executives, sales teams, and operators can ask clear questions through a chatbot and receive answers immediately. Sisifo’s Conversational BI connects directly to trusted data models, existing BI tools, and governed data lakes. The result uses the same definitions, metrics, and...