Data is not the new oil - Alexandr Wang

Great Talk, Lot of good insights

• Oil is a commodity and everyone has same access to oil
• Not all data has same level of value
• Every type of data fintech / insurance / healthcare has different 
• Data has multititude 
• Multiple frameworks / thoughful strategy to stitch data
• Building block for next move is quality code / automated code
• Earliest is Autonomous cars
• Raw data to labelled data is First step towards quality data
• Data = New Oil, Scale = Refinery
• Most capabilities are taught by large scale data
• Data Engine = Refinery for data
• Teach a model how to access one answer better than other with a bunch of examples

Opportunity for Enterprises

• Total data available - 99% - Private
• Messages / Emails will never end up on internet
• Enterprises have a lot of unused data
• Tune General purpose model for Enterprises
• Customer care / Legal Apps
• Focus on big problems that matter to your business

Questions

• Unique Data Assets
• Better than Anyone else 
• Unique capabilities / Differentiators
• Cost Reduction / Customer Care / Optimization
• AI = Productivity enhancer
• Meaningful chunks of work
• Health care / Financial Services
• Data & Compute Limiting Factors
• AI <> Replacement for humans
• Economically viable human systems
• There is no future here 2 years back vs This is a threat
• Model improvement is going to get better
• Need broader cooperation
• Inequality with jobs / upskilling with new jobs
• AI misuse is punished / handled severly
• Testing and Evaluation for Systems and use case
• Fit for purpose vs primetime
• FDA for drugs similar regulation options, Apps approved after scruitiny
• Public evaluation of models
• Testers in public / private / regulators
• Ideas + Accountability decentralized

Ref - Alexandr Wang: 26-Year-Old Billionaire Powering the AI Industry

The Truth About Building AI Startups Today

• GPT Wrappers
• AI Agents 
• High Beta Opportunities
• Idea Maze
• Once in a Life time opportunity
• AGI / Multimodal / Videos
• Workflow Automation
• RPA - Search/ Form Filling
• Sweet Spot - Pivot LLMs Automate Government Contract
• Dev tool companies
• Fine Tuning LLM Models
• Something more than Finetuning
• Customize to private datasets (Healthcare / FinTech)
• Cybersecurity to Cloud -> Cybersecurity for LLM
• LLM to data access Mapping
• Purpose trained models / Run Locally models
• Prototype with close source LLM Models
• Collect data in parallel for domain context
• Partner and build private models
• Closed source AGI = Monopoly / Dangerous
• AI Ethics + Regulation + Measuring it

My Take

• Prototype with close source LLM Models
• Collect data in parallel for domain context
• Partner and build private models

Product #1 - Syncly

• With AI feedback analysis, Syncly instantly categorizes feedback and reveals hidden negative signals. 
• Centralize all your feedback and take proactive actions based on real time insights to elevate your five-star customer experience.

Product #2 - Cradle

• Protein engineering without the guesswork

Keep Exploring!!!