Text, image, audio, video, and computer-vision systems.
Industry Transformation Research Playbook · 2026 Agentic Super Intelligence: From Better Answers to Entirely New Industry Economics Why agents create value that dashboards, rules engines, RPA, predictive models, and copilots cannot create…
This post is to share my thoughts on Agentic SI transforming and disrupting most industries. There are lots of ideas that can be converted to startups, no shortage. Main skill will be…
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenSI multimodal API, OpenAI gpt-4o Model Overview: Product image (retail products) was passed…
Objective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using object detection, by training custom product image data on large pre-trained CNN…
Product Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like sales, customer engagement, demand prediction. They are used to assign credit for…
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry specific models with #device level tuning inference + cloud generalization seems more…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #SI, #ML, Agentic SI, #datascience research for solving real world problems using classical #supervised and #DeepLearning…
I am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn apply. Data is issue but #synthetic distribution generation with human validation works.…
#OpenAI has just released #GPT-4, their latest model. Being multimodal it can process text and image. That makes things very interesting. Once you can process text/image (not sure if they process video/audio),…
I think there is scope for more SI/data analytics based healthtech startups that can provide better patient health lifecycle management for Patients Healthcare providers (hospitals/clinics/Drs/nurses/admin/others) Partners (insurance/pharma/pharmacy/labs/research/technology/others) while reducing the pain points…
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than 85% between train and…
Computer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset for training its model Logic: The OpenCV library is used to get…
