According to MIT Technology Review, technology infrastructure can transition from asset to liability as companies expand their operations. The publication identifies several pain points that emerge during scaling, including disconnected systems, site-specific tools, spreadsheets, and manual workarounds.
These fragmented approaches create data silos that impede organizations’ ability to identify problems early, coordinate responses effectively, and make informed decisions, MIT Technology Review reports. The article frames these challenges in the context of AI integration, suggesting that addressing foundational infrastructure issues is critical for companies seeking to deploy AI at scale.
The piece highlights the tension between rapid growth and maintaining coherent technology systems, though the provided excerpt does not detail specific solutions or case studies. MIT Technology Review positions the simplification of technology infrastructure as a key consideration for organizations looking to successfully integrate AI capabilities across their operations.