Tech On Trial

Is retail as we know it dead?

This week on the All Things Data Podcast Jansen and Victor discuss the future of retail:

When do I get my raise / promotion / secondment?

Find out data is changing the way companies evaluate, compensate and measure their employees.  

This week Jansen and Victor discuss the shift in the way HR operates, the death of the annual review and how we measure workplace productivity.

This week we look at how data has changed the world of sports.  From team building, player evaluation and gaining that competitive edge, data is helping professional sports team look at the game differently.  

Victor and Jansen discuss the rise of the 3 pointer in the NBA, Moneyball in the MLB and F1 tuning to explore how a few numbers can change it all.

One of the big reason we're able to unlock AI is because of the amount of data we have in the world today.  The Machine Learning models we build use this reference data to predict outcomes, this is why it's called training data.  

This week Victor and Jansen unpack:

- How we use data to predict outcomes

Critics worry that AI will take jobs away, but like all technology, it's about how we implement it. Will it be a world where it's humans vs machines or will it be humans + machines?

This week Victor and Jansen unpack the lanes, the tasks and uses cases humans and AI excel at.  They'll also cover the implications on the job market and how AI will affect work as we know it (spoiler: we'll be OK).

As the saying goes, if it’s free, you are the product

This week Victor and Jansen discuss how your personal data is being used in the wild.

We'll be covering:

- What data is being gathered

- The tech behind data collection

- What your data is being used for

- Examples of the good, the bad and the downright scary uses of your personal data

The world is on lock down with the current COVID-19 crisis....

There is a lot of data floating around from different organization, governments and news which is hard to interpret, combine and answer questions.

This week Victor and Jansen discuss:

We've got available data teams at 1000ML to help, reach out and let us know how to.

In this week's episode we tackle the subject of What is required to land your first Data job. 

Victor interviews Jansen on the intricacies of what it is like to start off in the world of data and try to get work in an environment that is radically changing as a result of remote work and now Covid-19

Part of our business is largely built on getting people employed in the world of Data. Most of our candidates we have come from a world of knowing how to study, take tests and write exams; in a very discrete fashion which does not lend itself well to the world of work. So we  wanted to acknowledge and discuss what we are observing currently in the data hiring world and what employers like us are looking for in candidates.

Data Science is more than just Jupyter notebooks, it's:

This week Victor and Jansen discuss:

- What is a model?

This episode we'll be unpacking some the of the hype around AI.

We'll be covering:

- Terms (and the marketing take over) like machine learning, deep learning and artificial intelligence.

- Do you need a PhD to work in the data field

- Where do these projects start at a company

- The glue people and the foundation of a data team

- Data unicorns, should you do it?