A strategic look at adding Copilot value

Let me start with a quick segue into investments to provide a framework for maximizing your Copilot value. 

Many people invest in stocks by looking for the hottest opportunity. Investment funds by their nature are trying to bring together the top investments into a fund offering. It can be a challenge to try to beat the market without a lot of time and access to information.

Enter index funds. Instead of trying to beat the market, the strategy is to invest in the index, lowering costs and capturing the market trends. Money has been flowing out of actively managed funds into index funds in droves the past few years.

What if your index were smarter? It’s the next step in index investing. Eliminate the underperformers in the index (companies without earnings, overpriced stocks, companies with higher risk exposure, etc.) 

This is, at the core, what records management should endeavor to do with information assets. When we can get rid of redundant, outdated, or trivial low performers, the overall value of our information portfolio increases. We tend to spend a lot of time trying to identify and protect only the crown jewels. Instead, removing low value content will increase the overall strategic value of your solution, and this concept is particularly appropriate for using large language models.

To build a business justification for records management principles and technologies in a world of AI innovation, think of your corporate information as a stack of paper with the least valuable at the bottom and most valuable at the top. Minimizing the stuff at the bottom will raise the value of the complete stack. And, along the way, you might reduce the risk from over-retained personal or sensitive data.

I asked a large language model what it thought the strategic value of AI is in a corporate environment. Here is what it said (with my comments highlighted):

“Large Language Models (LLMs) can be applied across various levels of decision-making and operations in organizations. Here’s how they can be used strategically:

Strategic Uses

Strategic uses of LLMs involve long-term planning and decision-making that affect the overall direction of an organization.

• Market Analysis and Forecasting: LLMs can analyze large datasets from various sources, including market reports, news, and social media, to predict trends and provide insights into future market conditions. 

Imagine the results of this analysis if your large language model included expired and outdated market reports, or social media, to try to predict trends. You would flinch if your live humans did the same thing.  

• Competitive Intelligence: By processing and summarizing information about competitors, LLMs help organizations understand their competitive landscape, identify threats, and spot opportunities.

Has your competition changed at all in the past 3 to 5 years? Are the threats and challenges the same as they were? How long is the retention period on this type of data? The classifications for knowing what is valuable, or not, is in your disposition program categories. 

• Innovation and R&D: LLMs can assist in generating ideas for new products, services, or business models by analyzing trends, customer feedback, and scientific literature.

Your LLM will be generating ideas for new products based on successful projects as well as failed projects from the past. How will it know the difference, and how will you know if the results you see are hallucinations or not? 

• Policy and Strategy Formulation: Organizations can use LLMs to model different strategic scenarios, evaluate potential outcomes, and make informed decisions on policy and strategy.”

Don’t let the informed decisions you make on your corporate strategy be based on redundant, outdated, obsolete, failed, divested, and abandoned sources.  

A strategy of removing this information from your corporate corpus of intelligence is critical in an AI world. When you identify the right use cases for leveraging Copilot you don’t want the raw data to be pointing you to expired and outdated intelligence. If you want to know how our solutions can help you achieve appropriate content curation and data hygiene, please reach out at contact@infotechtion.com