Artificial intelligence is rapidly transitioning from experimental projects to everyday business applications across enterprises, according to MIT Technology Review. Organizations are deploying AI copilots, agents, and predictive systems in areas including finance, supply chains, human resources, and customer operations.
According to the publication, by the end of 2025, half of companies are expected to have implemented AI in at least one business function. This accelerating adoption underscores the technology’s move from theoretical potential to practical deployment in core business processes.
The report emphasizes that successfully delivering business value from AI requires a strong data fabric—a robust infrastructure for managing and accessing enterprise data. As companies expand their AI implementations beyond pilot programs, the underlying data architecture becomes increasingly critical to ensuring these systems can operate effectively and provide meaningful returns on investment.