Tech On Trial

As an All Things Data Special Episode  we combined forces with Dave Mathias from the Data Able Podcast to chat about Data Education. We cover: - Where to start and where not to start your data journey - Where you should be focusing your learning - The spectrum of learning opportunities and how they fit into your data journey - How does your domain experience fit into the equation - Honing you...

Sr Machine Learning Engineering at Snap Travel, Joey Sham joins the All Things Data podcast to tell us what he's up to in his day to day as a machine learning engineer, how he made the transition from Physics to developer to data science, how Snap Travel uses NLP & BERT to help people find hotels and flights and how to hustle to get your first data science job.

Lead Data Scientist at Sunlife Financial, Jennifer Nguyen joins that all things data podcast to talk about how she uses data science in the insurance industry, how a web development project got her career started, what she's learning to become a better practitioner and advice for anyone looking to get in the field.

Apparently there are tens of thousands of Data/ML/AI jobs out there, but why isn't everyone you know getting hired and working in the field? This week Jansen and Victor discuss: - How technology markets evolve - New talent vs mature talent (and the talent rush) - How exits and large companies drive innovation and talent pathways - What a transition looks like from school to the work force now and...

What are the things you need to consider from a data perspective when you build a product? This week Victor and Jansen discuss some common pitfalls and risks they've seen over the years when building out products. They'll cover: - Data first thinking - Data as your product - Building MVP's - Codeless development - When to bring data people to the table

We've been keeping all your DM's from LinkedIn, email and our meetup slack and complied it into our AMA. This week we cover questions like: - What value does AI/ML bring to an organization? - I'm a CEO of a company, we need an AI strategy, our competitors are purporting to be AI driven. Where should I start? - What's the surrounding Hype of AI and what's the reality? - Why is there a race to AI no...

A data scientist is more than just scikit-learn and SQL. This episode Jansen and Victor discuss the knowledge and tools that a data scientist should posses to be the real deal. Why: - CI/CD - GIT - Containerization - Testing and more Are important tools and concepts to have in order to be a successful practitioner.

How do you transform an organization that isn't digitally native? This week Victor and Jansen discuss what it takes to enable legacy organizations to adopt AI. They'll be unpacking: - Boardroom discussions - Executive sponsorship - Team structures - Project ideation 

With COVID-19 still growing globally, physical distancing and contact tracing is our best bet to reducing the spread until a vaccine or treatment is available. This week Victor and Jansen dive in to contact tracing tech, how it works and the adoption curve to make it impactful. We'll be covering: - The Apple / Google tech - Bluetooth and wifi options - Other methods that may or may not be socially...

What does it take to become a global AI Super Power? In this episode explore what countries are doing to win the AI race.  Jansen and Victor unpack: Education Government policy How the private sector plays in the equation Which countries are investing and which aren't What skills are needed and who needs them

Co-Operative education aka Co-Op. What is it, why is it important and who are the players? After speaking with leaders in education, industry and government for the last 3 months we thought we would share our experiences with helping people find their first job. Our journey led us to really deep into co-operative education.

What if you got measured on all the good and bad things you did in your day to day life? How would we do it? Do we have the data? This week Victor and Jansen delve into creating a social credit system.  We answer:  - What data would we need? - Is it a violation of privacy? - Who owns the data and who gets access to it? - How is China currently doing it? We also reference The Information...

Smart cities... What makes them smart? What's all the hype surrounding them? Why are governments pushing hard for these initiatives. This week Victor and Jansen unpack the city of the future. We'll cover: - Surveillance - Transportation - Smart Grids - Stories of smart city initiatives Bonus points if you know what episode art is!

We've been keeping all your DM's from LinkedIn, email and our meetup slack and complied it into our first ever AMA. This week we answers questions like: - What's next in technology? - How do you measure impact of a data science project? - What are our favourite thing about our jobs? - What should you do to make the next step in your career? - Our opinion AI making AI

Can data cure all?  Probably not.... but it definitely can boost outcomes. From cancer detection, chronic illness management and patient experience, data is the key to unlocking breakthroughs and service improvements across the sector. This week Victor and Jansen discuss: - The social determinants of health - Wait times - Electronic health records - Connected hospitals - Drug discovery

Is retail as we know it dead? COVID-19, Data, AI and Technology is accelerating change in the retail experience. This week on the All Things Data Podcast Jansen and Victor discuss the future of retail: - Amazon Go - The rise of Phygital retail - Malls - Flu tracking? - New ways retailers are using your data for a better experience

When do I get my raise / promotion / secondment? Find out data is changing the way companies evaluate, compensate and measure their employees.   (Hint: it's not the dreaded annual review) 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 - Caveats and watch outs about the data we choose - The cost of training and resource...

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 is your chance to make a difference as a data practitioner! This week Victor and Jansen discuss: - The Data For Good not for profit organization - The inner workings of a data-thon and...

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. M...

Data Science is more than just Jupyter notebooks, it's: Machine Learning... It's the ML in 1000ML . Data Engeineering Model Tuning Infrastructure And a whole lot more This week Victor and Jansen discuss: - What is a model? - Data *'s aka Data People - Life beyond Notebooks - Data infrastructure - What it takes to productionize a model. - The business value of data science

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?