Hi community,
I want to say hello to my fellow learners.
Just finishing up the ML Certification. The fun part usually starts when I move beyond the courses and start to apply learnings to solve real business problems.
I am currently building out basic infrastructure to support collaborative development (github, etc). I also run linux infrastructure for model building and services hosting. I have 25+ years of technology experience building and launching systems, and managing data. It’s the AI piece that’s a new addition to my toolbox. I’m deeply grateful for Andrew Ng’s gentle introduction to the AI space.
I am in product development mode on the projects below, validating product hypotheses with real customers.
If anyone is interested in discussing these projects or is looking to collaborate or just talk over a coffee, feel free to reach out.
— Greg
Project 1: ROI Navigator
For businesses that need to steer their technology investment strategy, but often struggle with financially analyzing various options, ROI Navigator provides robust analysis tools that help them understand their current IT costs, the potential future state total costs, and the price of getting there.
I’ve previously done a lot of work in this domain, but now I’m applying AI to reduce points of friction. Features include:
- Estimate current state TCO based on sparse inputs
- Estimate one time costs and schedules to implement a change
I am currently building with: PyTorch, Spark, and using React and Next.js for my font end. My working approach centers on effective neural network development, but I may start leveraging RAG / OLlama for web searches to compile an easy to maintain global cost database for things like hardware, labor, and power.
Project 2: Specialty Insurance Market Customer Services
There is an emerging area in insurance called “specialty markets”. It’s known by other names as well, but it essentially boils down to policy areas involving high risk due to wildfire and flooding. Insurers are increasingly being required to cover these risk areas and write policies, and states like California are capping what the insurers can charge. This drives a need to comply with market regulations while keeping costs down.
My feature set for this solution centers on enabling the insurance business processes required to service customers, from qualification, to policy writing, to claims processes.
My technology strategy at this moment is centered around Ollama and Langchain, along with several integrations up and down the value chain, supported by Langchain.