You've probably heard about network effects, but they aren't the only thing you need. Learning effects build the ultimate moat against your competition.

Learning notes from this episode:

• You get better at speaking a language the more you practice and correct your mistakes. It is the same with ...

It’s easy to put the tech sector on a pedestal, as we’re constantly bombarded with its power and profits. But “technology is just a tool to affect business outcomes,” says prop tech entrepreneur Sebastian Rivas.

Sebastian runs Andes STR, a which uses machine learning...

You’ve probably heard the term cloud computing, but like most non-techies, you’re not sure what it means. In this episode, you’ll learn what it is and how businesses use it to solve problems.

You’ll learn from DJ Johnson, who works at Microsoft Azure. DJ started his...

Big data and predictive analytics can help you make profits, sell clothes and strike oil. But, unless you know how to ask data scientists the right questions and then use their answers, data are just a collection of meaningless facts.

Listen to this episode to learn what data scientists do and...

“The biggest lie told in tech is that you that you need to be a coder. I think that being able to understand the user experience behind tech, being able to articulate technology, and being able to get other people excited about it, is what you really need to run a good company,” says...

Sophia Matveeva spoke to Jung Seok Kung (JS) founder of Aizen, a fintech company which uses AI to support decision making and manage risk for banks. JS is a non-technical founder, who now leads a company that processes 10,000+ algorithms in real time.

If you want to learn what AI is in practice...

Harvard Business School professor of AI and digital innovation Marco Iansiti talks about what AI is, how it gets made and how it impacts organisations. Listen to get a case study on Ant Financial and learn how AI adoption has accelerated during COVID.

Key learning points:

• AI is already...

In this episode tech entrepreneur and Chicago Booth MBA Sophia Matveeva covers what algorithms are, how they are made and when rubbish data creates rubbish algorithms. Hear how Amazon’s recruiting algorithm experiment went horribly wrong.

Don't let the term algorithm scare you. It's...