My Lessons @ TechX @ Kalaari

Today was an motivational day listening to different talks and understanding the AI / ML Space.

Welcome note by Vani Kola
She spoke briefly on challenges in Indian Eco-System (Cost, Infrastructure, Unorganized). Also, touched upton AI startups coming up in Agriculture, healthcare, consumer space. During the tech talks and panel discussions the panelists echoes Deep tech startups are missing. Conversion from Academic to startup is also minimal.

Stanford is analogous to silicon valley. We don't have similar established route in Indian startup ecosystem

Building Something from Nothing by Dhiraj Rajaram (Mu Sigma)
This was spiritual plus physics plus a bit of realistic advice. He is a very humble person with his ideas, thoughts. No wonder a decade back he had setup startup on Data Sciences. Seeing what others don't see is the vision. He had the vision.

• Focus on mental health + Physical health matters
• Embrace uncertainty
• Comfortable with feeling of nothing
• Deal with high volatility and high ambiguity
• Innovation is accepting uncertainty
• Learning is the rate of change of knowledge

This talk also touched upon my recent days towards self-aware-self

• Detailing our efforts
• Journal-ling our thoughts
• Capture in details
• Deal with complexity
• Identify the interactions
• Scrutinize and find the details to fix / improve / grow to next level

AI is moving from Automation to Autonomy

Data inside company + Data outside company + Social detail = Everything is connected to find value out of it

There was panel discussion followed by blockchain future by Vivekdeep Gupta

• Pre-Internet (Paper based ledger)
• Internet Era (Distrbuted - Automated - Seperate DB's)
• Future - Shared Ledgers

Advantages

• Silo transactions results in inefficiences. Combining businesses in network with common technology platform so that they share the same version of truth
• Smart contracts, capital efficient
• Deeper Supply Chain Tracking 
• Platforms Etherium, Fabric, Corda, R3, C.RDA

Block Chain use cases

• Digital Assets, Trade finance, Enterprise tokens, Digital Cash, Digital Identity, Insurance

AI Thinking by Shailesh

• Mapreduce - Distributed computing
• Infrastructure -> Automation -> Data Collection -> AI
• Evolution of knowledge
• Reality - Sample - Data - Discover / Refine - Knowledge - Generalize - Modify / Reality

Data Evolution Cycle

• Reporting Data (BI)
• Predicting future (Machine Learning)
• Create new future (Data Science)
• Explore all future possibilities (Artificial Intelligence)

Evolution of Decisions

• Education System is broadcasting
• Medication is broadcasting
• No Personalization
• Pro activeness is AI

An idea came like consolidated app which would integrate 

Global Planner = Consolidated app which integrates - Google Flights + Trivalgo + Uber (Dynamically placed and adjusted according to delays in Flights / Dates / Travel Pickup time notifications) - Cascaded Planning

Evolution of AI Ecosystem
Product V1.0

• TV / Car programmed Intelligence

Product V2.0 - Crowd Intelligence (People + Product)

• Google
• Youtube
• Amazon
• Linkedin
• Facebook

Product 3.0

• Connected Cars
• Connected Homes 
• Smart Cities

Everything is separate although it is interconnected - gmail model, search model, ads model.
Knowledge graph for conversations. Sense - Analyze - State - Knowledge
Labelled data - problem dependent and unique to every organization

Finally was drone talk, It was pretty deep dive and awesome talk
Two interesting startups UncannyVision Solutions and https://eye-d.in/ had great products.

A day to get inspired and keep going forward.

Keep Learning!!!