3.5 years of AI / ML work and some key projects

Some key moments of the past 3.5 years of work 

• Setting up / Driving a Virtual NRF - Driving everything from India
• Strategy roadmaps based on the current state of multiple customers in  Retail, Logistics, Beauty, etc..
• Vision-based products / Roadmaps / Production Architecture - Virtual Tryon
• DAM / Stylitics / Try on Solutions 
• Vision Products / Projects - Skin Care / Leaf-based plant classification
• Forecasting projects - 300K products for Beauty product retailer
• Bundle recommendations - For a clothing retailer, Figuring out what sells well
• 2 months AI + Analysis + Troubleshooting a slow-performing Trading App (Air Crash Investigation type work :))
• Image Search Engine, Image Catalog creation
• A ton of tech reviews, architecture discussions
• Code up as and when needed, Code / Learn / Handle both tech + business audience
• Three batches of training AI / ML for 150+ product managers, Publishing POV
• Reporting feedback/improvements for AzureOpenAI, Google partners, etc.
• Currently in LLM, GenAI Mode
• External Talk in One of the Conferences for Virtual Try on
• Almost all good moments, except a few situations where I would be cautious if I spot such symptoms
• Lot of coding/teaching for Upgrad :) to get better at basics :)
  

In the next 5 years how we code, will it be mostly prompt-based or idea based looks like a lot of new approaches in development :)

• Tyco and Microsoft taught me a lot of domain
• Even after a master's in ML, Domain knowledge + Common sense helps me more than ML views
• Still could recollect key tables at least 100 tables in Reverse Logistics work - Product, Warranty, Msops, SST Tracking, Repair, Warranty etc..
• The warranty rewrite work is still memorable and applicable till today
• The 3PL touch point connectivity is still relevant in supply chain visibility
• Sensormatic gave the RFID + EAS + People counting + Instore retail operations
• The heart and soul of instore operations is based on store planning + planogram + store layout + real-time alerts + cycle counting + a lot of real-time opportunities with Vision
• Now if I look back a lot of ML is applicable and I will rework If I have to redo those problems yet again :), Classifying the type of customer issues in XBOX, using NLP to address customer issues with GenAI, Past had a lot of data
• Now all data can generate signals - Video, Audio, Text on top of RDBMS

Learned a few things (New start)

• Optimization opportunities
• Exploring pyomo / other relevant connected opportunities
• Azure data curate features/masking/removing/compliance
• A ton of training / long term - only to learn more 'persistence'
• A ton of mentoring internship projects 
• Reviewing/panelist in several events
• Tyco was a bit relaxed with work, This is a marathon

Wishlist

• Need a break!!!
• Write a book
• Take a break
• Try building some ideas/products
• Business + Tech is always essential to see the big picture / Explore options / Freelance

My perspective

Ref - Link

Why AI / ML ideas Fail in Large Enterprises?

Keep Thinking!!!