Diameter Capital Partners made successful telecom and satellite bets as AI demand spread beyond chips.

Will the future of enterprise AI hinge on data streaming engineers and organizations closing the gap between knowing and doing? Richard Timperlake of Confluent looks at where the signs are pointing.

As global enterprises race to deploy large-scale Large Language Models (LLMs) and AI applications, the demand for AI infrastructure is growing exponentially. However, the typical 18-to-24-month ...