Today’s AI models are highly skilled, yet they often hallucinate. Probabilistic AI models often tend to invent plausible details when the underlying fact and context are missing. The solution to this problem isn’t usually a bigger model. The real fix is having a governed enterprise memory that serves as a foundation for generating enterprise insights […]
According to Gartner, global spending on public cloud services is expected to hit around $723 billion by 2025 and surpass $1 trillion by 2027. Yet only 30% of organizations have clear visibility into their cloud budget allocation. This disconnect highlights a critical challenge: companies are pouring money into cloud migrations without really thinking through which […]
In my previous blog titled ”Reimagining File Archiving: Turning Data Chaos into Business Intelligence”, I explored various nuances of the foundational pillars of any archival suite of platforms, vis-à-vis compliance, cost efficiency, security, and intelligent information lifecycle management and governance. Each of the aforementioned elements are critical for transforming any routine archiving task into a […]
Let me share something I’ve been thinking about lately—the shift from viewing data lakes as massive storage repositories to understanding them as active foundations for composed data products. It’s a transformation that’s reshaping how organizations actually use their data. My colleague Haricharuan recently wrote a good blog on the fundamental foundations of data products: Data […]
Most organizations rarely lack data, yet we often hear data leaders say, “We manage petabytes of data, yet arriving at an accurate insight is time-consuming.” Most data teams aren’t lacking in data; they lack reliable, reusable outputs. The signs are everywhere: high costs, slower processes, inaccurate insights, duplicated efforts, and a cluttered dashboard. Without curated, […]
Large Language Models, as impressive as they are, can still make mistakes. The impact of these mistakes often depends on the nature of the input prompt, the criticality of the scenario, and the action that the LLM output drives. In a consumer-grade use case, slips may be tolerable, but in an enterprise setting, the error […]
