Generative AI refers to artificial intelligence models that can generate new, original content such as text, images, audio, video, and more. It involves using machine learning models trained on large datasets to learn patterns and relationships in the data, which the models then use to create new content. Leading applications include generating creative works, summarizing text, automating content creation, and synthetic data generation.
Regardless of your stage of adopoption, we can help. See how here.
Some Ways We Have Used Generative AI
| Category | Case |
|---|---|
| Customer Service and Engagement | Analysis of grocery customer feedback survey data, uncovering a variety of issues for management to address, and generating automated responses to the customer. |
| Customer Service and Engagement | A monitoring system using call center representative phone conversations, listening for tone, and coaching the representative, suggesting steps to take, while making sure policies are followed and regulatory compliance assured. |
| Customer Service and Engagement | A bot to answer questions from commercial real estate developers about a market analysis for potential properties to develop. |
| Sales, Marketing, and Supply Chain | For the sales force, a smart, interactive seach engine based on internal product documentation and competitive intelligence reports |
| Sales, Marketing, and Supply Chain | Content generators to assist in developing marketing content, writing blog posts and case studies. |
| Sales, Marketing, and Supply Chain | A Forecast Value Add coach to direct demand planners to where their best efforts should be spent to improve customer service levels and tighyer inventory. |
| Operations and Corporate Knowledge | Summarizing anonymous employee surveys to classify themes, measure satisfaction and engagement, and explore their recommendations for business improvements. |
| Operations and Corporate Knowledge | A rail yard car movement optimizer, recommending movements from the bowl to build trains, using genetic algorithms, simulated annealing and dynamic programming |
| Operations and Corporate Knowledge | An app, accessible on mobile devices, for retail district managers to ask corporate databases about the stores under their responsibility and their managers. |
| Operations and Corporate Knowledge | An advisor to propose ways two companies can engage in strategic partnering. |
| Operations and Corporate Knowledge | Chatbots for books and publications to provide interactive conversations |
| IT development | Translation of thousands of Tableau calculations and formulas from dozens of dashboards to Power BI DAX expressions. |
| IT development | Translating code from one programming language to another to help in an IT migration project. |
| IT development | SQL generators to report, in BI-like fashion, based on unique queries not available in the standard BI system |
| IT development | "Coaches" for application developers of various languages and database technologies based on a corpus of technical documentation. |
| Technical and Engineering | A publicly available ChatGPT plugin to answer questions about how railroads can reduce greenhouse gas emissions. |
| Technical and Engineering | An agent to respond to questions about in-field tests of fuel conservation technologies |
| Technical and Engineering | An expert to answer questions about RAIN RFID technology |
| Technical and Engineering | A search agent to ask a corpus of documents about railcar hot bearing detector technology. The highly technical papers contained tables, images, figures, and equations which needed to be incorporated. |
| Data Science and Analytics | Python code generators to create machine learning models based on specific data and business objectives. |
| Data Science and Analytics | An optimization software code generator, which interviews a business user for a description of the problem to be solved, determining the objective function, the decision variables, and constraints. |
| Data Science and Analytics | A Monte Carlo simulation tool to produce a range of outcomes and probabilities, based on input data and assumptions |
| Safety | Summarizing and looking for trends in safety incident report textual narratives. |
| Safety | BI-like queries through natural conversation to provide summary statistics and facts that are not available in Safety Management System standard reports. |
| Safety | A "rules coach" for field managers to ask about safety policies and procedures. It can quiz and coach the user. |
| Safety | An interactive system for attorneys to inquire about safety incident legal claims |
| Safety | An app to "chat with the book" for our book, Preditive Safety Analytics |
Ways We Can Help
- Assess where Generative AI may fit in to your business through discovery workshops which produce use cases.
- Provide executive education to orient leaders as to what the technologies are and how they may help your business.
- Assist in building business cases.
- Qualify your data’s suitability to task.
- Develop roadmaps for implementations.
- Conduct proofs-of-concepts and pilot tests.
- Build in-house skill sets.
- Sustain and expand in the long run, as needed.
Check out our related offerings:
Selected Resources
Related Offerings
Other Resources
- Blog posts
- Harvard Business Review article: GenAI Can Help Companies Do More with Customer Feedback.
- Guide: Vetting Vendor AI Claims.
- First Analytics Chairman, Tom Davenport’s book, All in on AI
- Tom Davenport’s book, All Hands on Tech: The AI-Powered Citizen Revolution
- Various publications and resources in our library.