Extract

It’s that time of the year: about a month early, Shivon Zilis from Bloomberg Beta has just released her annual State of Machine Intelligence report (“Machine Intelligence” is Shivon’s preferred term to describe Machine Learning – we’ll go with it).  This time it is published in the Harvard Business Review….

Want to know how successful companies like Microsoft got to where they are today? By using data in smart, innovative ways. 

In this interview with Editor-in-Chief of ReadWrite, Owen Thomas, Steven Sinofsky draws on his experience at Microsoft and Andreessen Horowitz to tell you how to use data to drive product development. This fun and engaging interview will teach you how to use data, what pitfalls to be aware of and how to align customer support and product development. 

The Big Data revolution has raised a myriad of ethical issues related to privacy, confidentiality, transparency and identity. Who owns all that data that you’re analyzing? Are there limits to what kinds of inferences you can make, or what decisions can be made about people based on those inferences?

Navigating the fast-paced world of data isn’t easy. So it’s important that we put a good framework in place because the consequences of a slip-up can be severe.

Andrew Fryer, a Data Evangelist at Microsoft, talks you through some common ethical scenarios. He discusses good and bad usages of data, teaching you how to tell the difference. Finally, he gives you three things you should be doing to manage data ethically in your company.

Tapping into what consumers want next is a startup founder’s Holy Grail. Being on the cusp of a budding trend is what makes the Airbnbs and Uber’s of this world so successful.

But how can you find out what the next big thing is going to be? By studying trends of course!

Head of Trends and Insights at TrendWatching, David Mattin, walks you through the latest tech trends and shows you how to interpret them. Where will you find your lightbulb moment? Watch the video to find out!

In our quest to make every business decision data-driven, getting the data is only half the battle. Next you’ve got to get people to actually use it. 

In this short video, Daniel Frank from Stripe gives away his secret ingredient for getting the team at Stripe to love quality data reporting. 

s a relatively new – but already highly sought after – position, it can be hard to know where Data Analytics ends and Data Science begins. Is it science? Statistics? Programming? Analytics? Black magic? Or some strange and wonderful combination?

Luckily for us, Thomson Nguyen is here to help. In this quick 10 minute presentation, the CEO and Co-founder of Framed Data clearly outlines what makes a true Data Scientist and discusses how they differ from a traditional Analyst.

In just one year (2014 – 2015), popular ride sharing app Lyft grew five-fold. From it’s humble beginnings as a small peer-to-peer ride app called Zimride in 2012, Lyft’s popularity has literally exploded since their relaunch in 2013.

Now you can find their fuzzy pink mustache cars in more than 65 US cities where users can get picked up by one of their 100,000+ drivers. This astonishing growth has earned them a $2.5 billion valuation and more than $1 billion in funding.

How has Lyft pulled off this massive growth spurt? And what can you learn from their success?

That’s exactly the question we put to Lyft CTO Chris Lambert who will be speaking (on exactly this topic) at Extract in October.