by Subanu Senthilkumar | May 28, 2025
Approximately 85% of businesses believe data quality issues directly impact their bottom line. This widespread concern is driving a surge in smarter ways to cleanse and manage enterprise data across industries. For asset-intensive industries such as manufacturing and... by Subanu Senthilkumar | May 23, 2025
More than 55% of maintenance resources and activities in an average facility are still reactive, according to industry benchmarks. This over-reliance on reactive maintenance is often rooted in poor asset data and misaligned preventive maintenance strategies. When... by Subanu Senthilkumar | May 21, 2025
According to Gartner, poor data quality costs organizations an average of $12.9 million annually due to inefficiencies and lost opportunities. In EAM, where accuracy drives maintenance efficiency and planning, these costs are amplified. Inaccurate data undermines... 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...