Sublime
An inspiration engine for ideas
existential risks > core product (including which countries to invest in further) > new products.
Claire Hughes Johnson • Scaling People: Tactics for Management and Company Building
machine learning and other forms of artificial intelligence.
Marty Cagan • INSPIRED: How to Create Tech Products Customers Love (Silicon Valley Product Group)
In cases where we don’t have good priors, our predictions aren’t good.
Brian Christian, Tom Griffiths • Algorithms to Live By: The Computer Science of Human Decisions
comfortable with data and analytics.
Marty Cagan • INSPIRED: How to Create Tech Products Customers Love (Silicon Valley Product Group)
But instead of creating reports or presentations that advise senior executives on internal decisions, data scientists commonly work on customer-facing products and services.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Your goals should be things like using data to facilitate better targeting, forecasting, pricing, decision-making, reporting, compliance, and so on. In other
John W. Foreman • Data Smart: Using Data Science to Transform Information into Insight
believe that innovation is the highest and best use of big data, so firms in other industries should emulate the Silicon
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Avoid Common Anti-Patterns