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Digital transformation encompasses two main aspects. The first involves digitizing operations; transitioning from traditional paper-based and manual, local, human-dependent processes. The second aspect involves optimizing your digital infrastructure to establish intelligent workflows greatly improving overall organizational performance and scalability. By incorporating AI into both the beginning and end of their workflow, businesses can experience a significant advantage, accelerating propelling growth tenfold. As a key part of this strategy, Large Language Models (LLM) can play a pivotal role in bridging the gap between human input and machine comprehension, paving the way for more meaningful integration of AI into business workflows than was previously available to most, just a year ago.
The impression that AI is a fad has steered businesses away from leveraging AI's capabilities to grow.
Turning real business data into LLM fuel to create a sophisticated user-facing tool.
A revolutionary user experience that efficiently accepts and processes inquiries.
The Problem
Before OpenAI's advanced Large Language Models (LLMs), AI research was fragmented into areas like image creation, OCR, spell checkers, and AlphaGo. Despite some enthusiasts' interest, the general public largely ignored AI, viewing it as unreliable and often associating it with doomsday scenarios like Terminator and Skynet. Now, discussions focus on AI's impact on jobs and its potential to revolutionize user experiences.
Consider a website as a basic web application. Users have become accustomed to navigation patterns developed over 40 years, making it easy to browse articles and switch pages. While we track metrics like bounce rates and conversions, we often overlook enhancing the user experience beyond just content searching.
Take a large school campus website as an example. It has a brochure section for prospective students, parents, and teachers, and a web application section with event calendars, class schedules, policy documents, and other essential information. Some information requires authentication, while other content is publicly accessible.
The Solution
By training a Large Language Model (LLM) with real-time data from your organization, the university can create a model that understands and responds to user intent through written or spoken input. This LLM acts as the user interface, making information more accessible than traditional website navigation.
In this solution, a standardized text and voice prompt enables an LLM-powered “chatbot” to interface with your organization’s data. User inquiries are matched with relevant data, and the LLM provides accurate, contextually aware responses. The LLM can simplify, summarize, and expand text, as well as translate and adjust tones and languages, offering more versatility than traditional chatbots.
In a typical web application, the LLM can reason to determine and execute the appropriate function or code based on user workflow. This process maps abstract concepts to specific actions, providing contextually relevant results throughout the user’s journey.
Services utilized
The Results
An AI-powered chatbot enhances user experience by efficiently addressing inquiries buried in your website. It provides tailored responses and engages users, handling questions like, “What time does Chemistry 101 meet next Spring?” or “How much will twelve credits cost?”
An integrated ETL system further simplifies data queries. For example, you can ask for a table of daily profits and item counts from the vehicles department, and the LLM will generate the SQL code and render the table. This allows your team to focus on insights and features, empowering everyone to explore and analyze data effortlessly.
Conclusion
ChatGPT and SaaS-based LLMs have mainstreamed AI in business, driving digital transformation and efficiency. To leverage this, businesses must prepare their data, streamline workflows, and centralize key information.
With AI now commoditized, differentiation depends on effective use of technology and data. Creativity in applying AI is crucial, making talent acquisition a priority. Plan and act now to stay competitive.
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