Phygitalytics
AI - Any device that does things that are associated with human intelligence
Natural Intelligence - Imagination, creativity, fantasy, intuition, problem-solving. AI and natural intelligence are two different things, each supplies a lack of other.
Why Choose Phygitalytics?
Prior Experience in Translating ambiguous business needs into clear ML use cases
Prior Experience in Decomposing intricate issues into smaller, quantifiable tasks across data handling, model training, deep learning / ML / GenAI, LLMOps / MLOps, and deployment
Proven Experience in Developing Proof of Concept (POC) based on core assumptions using the 80-20 rule
Proven Experience in Mentoring team members, fostering the learning of new technologies and methodologies, and supporting their professional growth
Patents / Papers and projects aligned to stay updated with recent tools, and trends and gaining practical experience
My Core AI ML GenAI Skillsets
AI Roadmap - Data Analysis, Availability, Staged use case Adoption, Roadmap for 3PL, Beauty, Fashion, Retail, Media
Products - Conceptualization, Solution Development, Implementation of Vision-based products in Agriculture, Fashion, FMCG
Training - SME for AI / ML Training for product managers. Completed 4 batches covering use cases in Retail, Fashion, FinTech, Energy
Domains - 3PL, Reverse Logistics, Retail - Planogram, Inventory Management, Loss Prevention, E-commerce
Production Implementation - Recommendations, Vision Solutions, Forecasting, GenAI Adoption
Key Offering's
Come with Data – Go with an AI product roadmap
AI product roadmap – Technical design / MVP to scalable components
Model Evaluation / Assessment and Review
Build vs Buy Decisions
Focused Offering's
Career Transition, 1-1 coaching/guidance interview preparation for Product / Program Managers
AI Strategy road map / Evaluation for business
MVP / POV / Production Architecture
Deep Learning / GenAI Workshop / Computer Vision Workshop
Startup AI Advisory / AI projects / AI monetization strategy
My working perspectives - My work style and Solutioning / Advisory Approach :)
Persist until you figure things out, digging deeper and deeper into unfamiliar systems until it finally clicks, and you understand how they work.
Have a broad understanding and creative use of Algos, SQL, LLMs, etc. Teach until you get first principles right
Have the intellectual curiosity to learn about the many new areas you’ll be taken into. Failures today are arsenal for tomorrow.
Have a willingness to lean into uncertainty. It's okay if a bad day happens.
Magnitude improvements and novel capabilities. Keep collecting perspectives.
You will face unique engineering and AI challenges that will make a meaningful impact. To be authentic, you have to have a lot of scars.
A focus on outcomes, not time-tracking. Yeah, sometimes easy looks complex, complex looks easy.
The database is always important. Are not afraid of legacy justice systems and would rather make them work than give up.
No great problems are solved by One Person. Happy to partner, Learn - Collaborate - Build - Ship
"Repetition is the mother of learning, the father of action, which makes it the architect of accomplishment." — Zig Ziglar.
“Earn with your mind, not your time.” - Naval
“Forty hour work weeks are a relic of the Industrial Age. Knowledge workers function like athletes — train and sprint, then rest and reassess.” - Naval
“I would rather be a failed entrepreneur than someone who never tried. Because even a failed entrepreneur has the skill set to make it on their own.” - Naval
#2024 will have many #GenAI apps in market. Many "Hello World" LLM apps masquerade as real-world solutions. Without data, without product clarity, and customer collaboration, it will end up a big success :) that is going to be the mantra of #GenAI adoption.
Ideas are easy, On ground challenges make the differences
Powerpoint is easy, Getting the first principles right is important
Always strong basics and persistence shine over presentations
Ideation is Easy, Evolving is Innovation and Differentiator