Large language models: the missing link in corporate intelligence | Deloitte UK has been saved
In today’s increasingly data driven world, organisations face ongoing challenges in making sense of the vast amount of data that they collect every day. The sheer volume and variety of data can be overwhelming, leaving organisations struggling to extract actionable insights.
This article explores how Large Language Models (LLMs) could be used as internal data discovery tools, and outlines some of the opportunities and risks inherent to this innovative technology.
LLMs, which are at the heart of tools such as OpenAI’s ChatGPT and Google’s Bard, are artificial intelligence (AI) models that have been designed to understand, process and generate humanlike natural language. These models can perform a wide range of language-related tasks, from content generation to text summarisation, translation, question answering, and more. The ease of interaction with LLMs via chatbots has made this technology more accessible to a much wider audience, and we are seeing rapidly growing interest in LLMs across all industries and sectors.
LLMs are showing great promise in supporting employees with their day-to-day work, and in improving wider internal business processes. Some examples of potential LLM applications include:
These are just some of the potential applications offered by LLMs. The rate of innovation in this field is extraordinary, and it is critical that organisations begin investigating the numerous ways in which LLMs will impact how they operate.
Companies that succeed in using LLMs as productivity tools will need to successfully incorporate these tools alongside their employees, and mitigate the various challenges and risks associated with LLMs.
Some of the key challenges and risks to be aware of include:
Whilst these are some of the key challenges in a commercial context, there are various other challenges in training and using LLMs, including the availability and cost of computational resources, security and privacy concerns, and an evolving regulatory and compliance landscape which has yet to catch up with the current pace of innovation.
Despite these challenges, LLMs represent an exciting development in our use of computers. They will have far reaching consequences for the way in which we work, shop and play in the very near future, and organisations that implement valuable business applications whilst navigating the challenges and risks will thrive.
If you are interested in learning more about LLMs and their potential applications within your organisation, contact Mo Aboobakar.
Mo is a researcher with a focus on exploring innovative technologies. Sitting within Deloitte Ventures his research and experimentation extends across various disciplines, including data visualisation, artificial itelligence and virtual reality. His expertise lies in identifying novel technologies and evaluating solutions to address the present and future challenges facing Deloitte and its clients.