Shelf Blog: AI Challenges

In the banking sector, every percentage point in efficiency can translate to billions in revenue. According to McKinsey, GenAI could potentially add $340 billion in revenue to the sector’s annual global revenues. This represents a 4.7% increase in total industry revenues – a surge comparable...

Large Language Models (LLMs) rely on extensive memory to store and manipulate vast datasets, a key factor that allows them to learn from past inputs and improve their linguistic abilities over time. But what if, alongside remembering, LLMs could also benefit from adaptive forgetting? The notion of...

Harnessing the potential of AI will make the difference for competing organizations in the future. The opportunities made possible by this technology come with a number of new risks, but by following the steps outlined in this blog — and giving knowledge management the priority it deserves — business leaders can navigate the potential and risks of this new technology.

As many businesses adopt Knowledge as an Infrastructure, the potential for AI will continue to flourish. That progression can take many different forms. We’ve laid out a spectrum of potential outcomes to assist business leaders considering adopting AI into their business.

The world is changing because of artificial intelligence (AI), but for many businesses it’s not clear how we get from the way things are now to the hyper-productive utopia pitched by AI solutions. For many executives and VPs tasked with integrating AI into their business, their focus is on...