by Subanu Senthilkumar | Jul 11, 2025
A Deloitte study found that predictive maintenance can reduce facility downtime by 5% to 15% and increase labour productivity amongst teams by 5% to 20%. This capability is driven by the integration of AI into CMMS platforms, where real-time analytics and machine...
by Subanu Senthilkumar | Jul 9, 2025
According to PwC, predictive maintenance enabled by AI can reduce operational costs by up to 30% and cut unplanned downtime by as much as 45%. These outcomes are not future projections. They are being realized by organizations that have embraced AI-powered...
by Subanu Senthilkumar | May 16, 2025
Research by PwC found that AI could contribute up to $15.7 trillion to the global economy by 2030 through productivity gains and automation. This statistic highlights the urgency for organizations to embed AI-powered workflows deeply into their business models or risk...
by Subanu Senthilkumar | May 14, 2025
According to a McKinsey report, AI automation could displace about 30% of the tasks in 60% of all occupations across global industries by 2030. This striking forecast underscores the transformative power of AI, particularly in eliminating tedious work while unlocking...
by Subanu Senthilkumar | May 9, 2025
According to Experian, enterprises lose up to 30 percent of potential revenue due to poor data management and lack of consistency across systems. Clearly, this is more than inefficiency. It is a serious business risk. Today, companies manage an expanding mix of...
