Introduction
Organizational investment into AI product licenses has grown tremendously, with some companies purchasing a license for nearly every single employee. Often costing millions of dollars per year, certain industries are struggling to uncover value from these large digital tools. Aside from data-science-heavy AI investments, the product realm has begun to see a large gap in adoption rates and usage, ranging from 8% to 26% on average per week.
Unfortunately, these tools like ChatGPT and Microsoft Copilot, can be frowned upon as poor investments, riddled with technological debt, high costs, and low functional utility. In a top down perspective, AI is still viewed as another “tech tool” by some, illustrating the opacity of a data-driven culture. On the other hand, AI could act as the largest operational optimization mechanism known in the modern age, forever altering the trajectory of success for every organization globally.
In this case study, we review how personalized AI literacy at a beginner and intermediate level helped one fortune 500 Organization achieve up to an 87% monthly usage across over 3,000 licenses, showing a 400% performance gain over a 3-month span. After tailored training specific to internal operations, datasets, and organizational processes, the gap of data science can be successfully closed & true GenAI acceleration can be harnessed.
AI Acceleration at Scale:
Despite vast investments into artificial technology, the widening gap in adoption presents a strong opportunity for literacy and development. 68% of business executives blame inadequate workforce capability as a primary barrier to successful AI implementation, *** one of the main detractors we too have observed to be deeply rooted in human behavior. By now, many have at least heard about GenAI training, prompt engineering, and large language models. Generic training and development resources are readily available but have clearly failed to deliver value for the general population of workers.
The technical aspects of data science are intimidating to many, & the transfer of those tools into every day enterprise operations is difficult to scale. Through a curated discovery process that included real-time data feasibility testing and coaching, accelerated usage of AI was seamless and agile immediately. While current processes may or may not seem applicable to AI, transformation opportunities exist to inject AI use cases through an absolute plethora of operational stages across deep embedded technical processes.
The importance of hands-on coaching, testing, and iteration across current datasets, internal processes, and functions, is absolutely imperative for evolving human behavior to be AI-first in the workplace. Condensing vastly time-consuming operations is important, and in some cases truncating an 8-hour data transfer process (assuming a large amount of manual labor) can be condensed to 1-2 hours of meaningful GenAI deployment. Over time, scale incurs when these successful strategies are applied specifically across internal data sets, or operations, preferably across a large number of employees.
The technical aspects of data science are intimidating to many, & the transfer of those tools into every day enterprise operations is difficult to scale.
By now, many have at least heard about GenAI training, prompt engineering, and large language models. Generic training and development resources are readily available, and demonstrate how some folks approach the usage of these tools for a number of executions. The gap between people, AI, technology, and data is clear. If your team hasn’t started using AI nearly every day, the risk of becoming competitively obsolete is knocking at the door.
AI Acceleration
Strong evidence clearly shows that the format of AI literacy and education has a massive impact on the organizational value derived from artificial intelligence. From the fundamentals of data and analytics to the complexities of LLMs and machine learning, organizations have a tremendous amount of growth potential with the right strategic partner. Having trained over 1000 enterprise professionals around driving internal value from artificial intelligence, AI Prophets is passionate about co-crafting AI solutions to enable human and business growth. Reach out to learn more.
Conclusion
Whether it be an AI agent for a CEO or a series of exceptional advisors to help detect modeling deviations, the most important thing for businesses and teams today is to understand the fundamentals needed to maximize AI value at an organizational level. As we seek to continue growing as humans and teams, we are presented with a tremendous opportunity to upskill and refine nearly everything we do. AI Prophets, we personalize AI literacy programs for organizations and teams of all sizes, enabling competitive data agility at scale. Contact us today to speak to an expert about how we can help.
