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Across a business, any number of AI platforms, systems, and tools may be at work simultaneously—for example, AI-powered customer platforms, […]
Every manufacturer has its own industrial intelligence. Some is documented, and some resides in the knowledge of experienced workers. Consider […]
A scalable AI system requires a strong foundation. Data, engineering, platforms, operating models, and governance must converge to work as […]
The next competitive advantage in enterprise AI has less to do with which model you choose than with what you […]
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a […]
Industrial AI is entering a new phase. After decades of predictive analytics and other specialized applications, advances in foundation models, […]
The story is a collaboration between MIT Technology Review and Aventine, a non-profit research foundation that creates and supports content […]
In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. […]
For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: […]