When an enterprise agent gives an incorrect or illogical output, most people assume it’s a problem with the model, or the prompt wasn’t clear enough. In some cases, they might just blame the data platform vendor. Too technical. Too complicated. However, what if the model did exactly what it was told and there was nothing…
Artificial intelligence dominated discussions at Davos this year, but inside enterprises the conversation has shifted from excitement to execution. Organizations are moving quickly to deploy agents and automation. However, many are discovering that technology alone does not guarantee operational value. Against that backdrop, Neal Ramasamy, Chief Information Officer at Cognizant, shared his perspective with BigDATAwire…
Agentic AI has dominated industry conversations since 2025. Adoption across enterprises is on the rise, and investment plans remain aggressive. Use cases are expanding rapidly, from simple employee assistants to advanced agentic workflows for insurance renewals or support ticket triage, to name just a few. The shift has been undeniably fast. The momentum notwithstanding, a…
Until recently, most enterprises treated real-time data as something you reached for only when absolutely necessary. It sat at the edges of enterprise architecture. However, that has changed. If you have been following our coverage at BigDATAwire, you would have seen that real-time data and analytics has been a core theme for enterprise modernization efforts…
When you think of the global AI race, what comes to mind? Models, benchmarks, and faster training? Well, those still matter, but the race depends more on infrastructure – think data centers and power grids. While many countries are investing heavily in this space and are slowly catching up in the AI race, the U.S….
Data gravity never actually disappeared, so it may not be fully accurate to say it’s back. However, it definitely stayed quiet. Traditional data analytics workloads were forgiving enough that this problem was not catastrophic. Dashboards loading slightly slower, or reports running overnight were not a disaster. The system continued to work, even if it was…
A recent report from Precisely highlights an interesting paradox: 87% of organizations believe they are ready for AI, yet at the same time, 40% of the leaders reported that data, skills, and infrastructure remain the biggest obstacles. Precisely’s fourth annual State of Data Integrity and AI Readiness report reveals a growing disconnect in how organizations…
