Putting Your Internal Data to Work
Posted: Thu Feb 13, 2025 6:39 am
Knowledge Management and AI:
For the past year, we’ve heard about applications of generative artificial intelligence (AI) on the open web, achieving everything from writing articles and improving search to creating artwork and altering speech – some more successfully than others. But as the technology matures, we’re finally starting to see valuable enterprise use cases for generative and conversational AI. The intersection of knowledge management and AI is a particularly useful development, the need for which is singapore whatsapp number data undeniable. Enabling businesses to put their troves of internal data to work is a function that organizations have long hoped for. And while it sounds simple, without the help of AI, it’s nearly impossible.
Why Generative AI Now?
For starters, data is effectively useless if it’s too hard to find – and it often is. Even in rare cases in which pertinent information is not messy and disorganized, it’s still likely to be spread over various applications in text, image, audio, and other formats, not to mention over different organizational departments, teams, and individuals.
AI can analyze this data in a way that humans simply cannot. Its ability to understand, digest, summarize, and generate content at scale is unparalleled. It can perform these tasks on millions, even billions of documents in a relatively short amount of time. This not only augments human productivity, but it also leads to better decision-making in organizations. The perceived value is hard to argue with.
For the past year, we’ve heard about applications of generative artificial intelligence (AI) on the open web, achieving everything from writing articles and improving search to creating artwork and altering speech – some more successfully than others. But as the technology matures, we’re finally starting to see valuable enterprise use cases for generative and conversational AI. The intersection of knowledge management and AI is a particularly useful development, the need for which is singapore whatsapp number data undeniable. Enabling businesses to put their troves of internal data to work is a function that organizations have long hoped for. And while it sounds simple, without the help of AI, it’s nearly impossible.
Why Generative AI Now?
For starters, data is effectively useless if it’s too hard to find – and it often is. Even in rare cases in which pertinent information is not messy and disorganized, it’s still likely to be spread over various applications in text, image, audio, and other formats, not to mention over different organizational departments, teams, and individuals.
AI can analyze this data in a way that humans simply cannot. Its ability to understand, digest, summarize, and generate content at scale is unparalleled. It can perform these tasks on millions, even billions of documents in a relatively short amount of time. This not only augments human productivity, but it also leads to better decision-making in organizations. The perceived value is hard to argue with.