It’s go-time for enterprise AI. A PagerDuty global survey of 1,000 IT and business executives found that 62% of companies using agentic AI expect a return of 171% on average. But getting to ROI is no easy task. Recent surveys show mixed results on efforts thus far, with “getting strategies right” and “making data ‘AI-ready’” […]| TDAN.com
Most people cringe when they hear the word politics in the workplace. It brings to mind backroom deals, favoritism, turf wars, and decision-making that feels more about power than about progress. In the world of data, politics often gets blamed for blocking change — departments hoarding information, leaders fighting over priorities, and executives struggling to […]| TDAN.com
A new survey of 1,250 data governance executives commissioned by OneTrust offers a detailed snapshot of how organizations are grappling with the realities of AI adoption. The findings are clear: Enterprise use of artificial intelligence has surged, but the governance structures required to manage it have not kept pace. As adoption accelerates, governance is no longer optional […]| TDAN.com
Despite years of experimentation, most organizations agree: Artificial intelligence hasn’t remade the enterprise or shattered ROI goals — yet. In fact, McKinsey found that only about 1% of respondents in a recent survey believe they are at artificial intelligence maturity. 80% of respondents in a similar report failed to see a tangible ROI from generative AI. The data above shows that AI system implementations from […]| TDAN.com
Taking immediate action on sensor data is vital in modern Internet of Things (IoT) systems. Real-time streaming serves as the fundamental structure of IoT analytics because it enables automated responses, predictive insights, and operational efficiency. Analyzing and responding to real-time data has become mandatory for healthcare, aerospace, and manufacturing systems. An example of real-time streaming’s […]| TDAN.com
