As organizations head into 2026, the data landscape is shifting from experimentation to execution. AI is no longer a side project, analytics is no longer reserved for specialists, and data platforms are being judged by outcomes—not features.
As organizations head into 2026, the data landscape is shifting from experimentation to execution. AI is no longer a side project, analytics is no longer reserved for specialists, and data platforms are being judged by outcomes—not features.