Teck Chia Partner, Exponent.vc The Future of AI is Here Teck Chia Partner, Exponent.vc

Why talk about AI Foundational shift in computing Transcends markets, culture, geography Early but impactful Shift from encoding human knowledge and instructions to learning how to solve problems by inferring and inducing from information. AI is applicable everywhere regardless of who and where it is invented Very early in AI development but very effective in solving certain problems, like medical diagnosis, web security like malware/spam detection, recommendation systems etc.

Structure Quick overview of AI technology Survey of AI activities Opportunities in AI Q&A

What is AI? Humans Natural Intelligence is using the brain to solve problems by learning and reasoning from information.

What is AI? Machines Artificial Intelligence is using algorithms to solve problems by learning and reasoning from information.

Types of AI Narrow Artificial Intelligence (Weak AI) Artificial General Intelligence (Strong AI)

Narrow Artificial Intelligence (Weak AI) Single Domain Not easily transferrable Examples: Self-driving cars, Apple Siri, Spam filters

Artificial General Intelligence (Strong AI) Can learn anything Learn how to learn Examples: Only in science fiction & movies (for now)

Most of today’s AI is using ML techniques Machine Learning Class of algorithms that can learn from data or information to solve problems Most of today’s AI is using ML techniques

Machine Learning Paradigms Supervised Learning Unsupervised Learning Reinforcement Learning

Supervised Learning Supervised Learning Algorithm Apple

Supervised Learning Trained Supervised Learning Model ??? Apple Not Apple

Predictive Analytics for businesses Supervised Learning Image recognition Speech recognition Predictive Analytics for businesses

Unsupervised Learning Algorithm

Unsupervised Learning News or content clustering Recommendation systems Anomaly detection

Reinforcement Learning

Reinforcement Learning Robotics/Self-driving Game playing (AlphaGo) Quant trading

What about Deep Learning? AKA Neural Networks Used in all ML paradigms ≈

Why AI is exciting today

Increase in power, lower in cost: GPUs, ASICs Compute Power Increase in power, lower in cost: GPUs, ASICs

Abundance of Data Sensors are everywhere Consumer behaviors shifting online Big data infra available and cheap IoTs & Wearables Lots of consumer behavior shifting online, like ecommerce, entertainment, news, communications, social Big data infra, storage costs going down

Access to ML Tools

What’s Happening in AI Today

Big Company AI Vision, Speech, Natural Language, Video, Social Robotics, Infrastructure, Tools, Hardware, Data Mainly horizontal technologies - Conversational UI, Personal Assistants, Recommendation systems since big cos know a lot about their users.

Startups Mostly focused on narrow AI in vertical markets (Small number of them attacking big AI problems) Have to attack vertical markets due to lack of data to train AI Need to partner and sell to bigger enterprise customers or orgs with data

Self-driving

Healthcare Drug discovery Medical imaging and diagnostics Analytics & risk management Medical research Health monitoring/Wearables medical diagnostics more accurate than human doctors

Site reliability and monitoring Software & DevOps Site reliability and monitoring Software engineering Testing Automation Kite Functionize

Fintech Quant trading bots Personal finance management Credit & risk assessment numer.ai wealthfront insurance and loan risk assessment

Enterprise Ops Sales Optimization Marketing automation & ads targeting Supply chain and logistics Rank sales prospects Write sales emails Helps buy ads and marketing campaigns Predicting demand for supply chain optimization

Security Fraud prevention Malware & spam detection Malicious attack detection

Security patrol robots Robotics Food-making robots Security patrol robots Autonomous drones Industrial robots (Self-driving cars) Amazon warehouse Nuclear power plant inspections Climate monitoring, autonomous boats

Creativity & Fun Face recognition & filters AI-generated music & art AI computer player Prisma Snapchat filters prowler.io & alphago

Artificial General Intelligence Turing test Learn anything (including how to learn)

Moravec’s Paradox Prisma Snapchat filters prowler.io & alphago

Opportunities Verticals where you can acquire lots of training data Tools & utilities to make ML easier to use Hardware & infrastructure for ML Prisma Snapchat filters prowler.io & alphago

Q&A