Microsoft Focussed AI Developer Conference

Monday 17th June 2019, Microsoft, Akalla

About AIBurst

About AI Burst

The aim of AI Burst is to host a full days of AI related sessions in one single session room. Presenting are Microsoft community and industry leaders and provides real-world content for Microsoft developers wanting to explore artificial intelligence and machine learning. The focus will be on developing AI and ML applications and real-world solutions. All sessions are presented in English.

Tanks to our generous sponsors, Azure Stockholm Meetup community events are always free to attend!

Event organizers are Alan Smith and Peter Örneholm.


Microsoft Office, Akalla


Monday 17th June 2019
08:30 - 17:00

Speaker Details

Our speakers are leaders in industry and the international development community.

Speaker 1

Henk Boelman

Heroes - Think Digital

Henk is a Cloud Solutions Architect and Microsoft AI MVP from the Netherlands. He started out as a software developer in the late ’90s and later moved on to the role of architect. He now guides organisations in their cloud adventure, with a strong focus on creating intelligent cloud solutions.

He loves to share his knowledge about topics such as DevOps, Azure and Artificial Intelligence by providing training courses, he is a regular speaker at user groups and international conferences and founder of the worldwide Global AI Bootcamp.

AI in the Battle Against Fakes

Counterfeit products have been a longstanding and growing pain for companies. In addition to impacting company revenue, they damage brand reputation and customer confidence. Our company was asked to build a solution for a global electronics brand that can identify counterfeit products by just taking one picture on a smartphone.

In this session we zoom into the building blocks that make this AI solution work. We’ll find out that there is much more to it than just training a convolutional neural network. We look at challenges like how to manage and monitor the AI model and how to build and improve the model in a way that fits your DevOps production chain.

Learn how we used Azure Functions, Cosmos DB and Docker to build a solid foundation. See how we used Azure Machine Learning service to train the models. And find out how we used Azure DevOps to control, build and deploy this state-of-the-art solution.

AI used to only be in the hands of data science PhDs. Now any developer can integrate this exciting technology into their next project. Join us to find out how.

Speaker 1

Willem Meints

Willem is a Technology Advocate and AI architect for Info Support. He's worked on various projects in the past such as industrial 3D printers and large messaging applications for the Dutch healthcare system.

He's the author of the book Deep Learning with Microsoft Cognitive Toolkit quickstart guide. Besides writing he likes to work on deep learning algorithms and machine learning projects.

Willem lives in the Netherlands, with his wife and two sons.

Learn how to use Reinforcement Learning for Personalisation

Reinforcement learning is a great machine learning technique that is very underused. People often think it's only for complex scenarios like playing a game of Go or Starcraft 2. That's not true at all.

In this session, we'll explore an application I wrote for collecting news feeds from various blogs and news sites. I'll show you how to use reinforcement learning to create a personalized news feed based on click behavior. You'll learn about useful tools and concepts that help you get started with this technique.

At the end of the session, you'll know how to apply reinforcement learning for personalization tasks and know how to start your first reinforcement project.

Speaker 1

Robert Luciani

Lake Tide

I have 35+ years of experience in buzzwords that look good on LinkedIn. I started out with just a hex editor and now have several profitable music-bands, products, and companies to my credit. Current passions are high-performace-computing, algorithmic trading, and heavy metal.

Deep Learning and Geometry

What all great scientists have in common is the ability to make leaps of insight by way of analogy. In this session I will demonstrate how geometric intuitions can help us work more creatively and intelligently when it comes to deep learning. With a smoldering GPU and some nifty code, I will walk you through exactly how symmetry, locality, compositionality, and nonlinearity look like from inside a neural network.

Speaker 1

Tess Ferrandez

Microsoft Sweden

Tess is a developer/data scientist working at Microsoft. Over the past 20 years she has changed the way we do .net debugging, developed a large number of mobile apps. A couple of years ago she moved into the world of data science and machine learning working with a lot of the largest companies in Europe and beyond on really tough ML problems.

She has has spoken at lots and lots of conferences around the world on a wide variety of topics including deep .net debugging, UX, web development and Machine Learning.

A Practical Guide to Deep Learning

Machine Learning is one of the fastest growing areas of computer science, and Deep Learning (neural networks) is growing even faster, with lots of data and computing power at our fingertips. This talk is a practical (very little math) guide to computer vision and deep learning.

We will look at a deep learning project from start to finish, look at how to program and train a neural network and gradually refine it using some tips and tricks that you can steal for your future deep learning projects.

Speaker 1

Alan Smith

Active Solution

Alan Smith is a Microsoft Azure developer, trainer, mentor and evangelist at Active Solution in Stockholm. He has a strong hands-on philosophy and focusses on embracing the power and flexibility of cloud computing to deliver engaging and exciting demos and training courses.

Alan has held the MVP title for 13 years, and is currently an MVP for Microsoft Azure. He is in the organization team for the CloudBurst and AIBurst conferences and the Global Azure Bootcamp.

Evolving Self-Driving Game AI and Self-Destructing Rockets using Genetic Algorithms and Neural Networks

Genetic algorithms can be used in machine learning to evolve optimal solutions to challenges through learning and experimentation. Neural networks are used to perform complex tasks such as image recognition and autonomous robots. Combining these two technologies can create a machine learning system that can learn to drive a car in a driving game or land a rocket booster in a simulation with no prior knowledge.

In this demo intensive session Alan will demonstrate how a basic genetic algorithm can be implemented in C# to evolve and optimize the simulated landing of rocket boosters. He will then introduce a simple C# based neural network that can control more complex systems, such as a self-learning AI in a driving game. He will share his thoughts on how to get to grips with the basics of machine learning, and discus the futures of ML technology on the Azure platform.

Speaker 1

Peter Örneholm

Active Solution

Peter Örneholm is a father, husband and Microsoft Azure MVP who loves to explore life. Using the power of Azure is his passion. Peter has over 10 years of experience in Microsoft related technologies and currently works as an IT consultant at Active Solution in Stockholm helping companies achieve more using modern web and cloud technologies.

Event Schedule

A full day packed with great sessions!

Doors open!

Introduction to the conference. (Please be on time!)

Tess Ferraz - A Practical Guide to Deep Learning

Robert Luciani - Deep Learning and Geometry

Henk Boelman - AI in the Battle Against Fakes


Willem Meints - Learn how to use Reinforcement Learning for Personalisation

Peter Örneholm - TBD

Alan Smith - Evolving Self-Driving Game AI and Self-Destructing Rockets using Genetic Algorithms and Neural Networks

Wrap-up, Retro, Final Q & A

Event Venue

Event venue location and logistics

Microsoft Office Akalla

The Microsoft Offices are located 10 minutes’ walk form Akalla subway station on the blue line. At Akalla, take the south exit, closest to the back of the train. Turn left as you exit the station, and follow Nystadsgatan, taking the tunnel under Finlandsgatan. After the tunnel turn right, the Microsoft office is 50m on your left.


Hosting a conference with leading international presenters and keeping attendance free would not be possible without the dedication and hard work of the presenters, organizers, and financial contributions from organizations. The conference would not be possible without the following invaluable organizations for helping with financial support and logistics.

We would be keen to hear from other companies and organizations that would be willing to sponsor Stockholm Azure Meetups.


  • Registration for the event will open soon. Stockholm Azure Meetup members will be notified when registration opens, sign up as a member to receive notification when registration opens.

  • Please cancel your registration if you cannot attend. Someone else may be keen to attend, and this will save having empty seats and wasted food.

  • AIBurst is a community event, and we encourage the speakers to attend the sessions and mingle with the attendees. There will be plenty of time during the breaks and lunch to chat with the presenters. Speakers have also made their contact details available on the site.

  • AIBurst is funded by the Stockholm Azure Meetups group, sponsoring this group enables us to deliver various community events throughout the year, including AIBurst, CloudBurst and evening events at locations in the city center. Please contact Peter Örneholm or Alan Smith if think your company could help fund these events.

Contact Us

Feel free to sign up for Stockholm Azure Meetup or contact Alan or Peter.