Jan Mulkens

power bi Machine Learning SQL Server SQL Server Integration Services SQL Server Reporting Services SQL Server Machine Learning Services Azure Azure Data Platform Business Intelligence Data Science Artificial Intelligence SQL Server Data Tools SQL Server Report Server

Jan Mulkens

Microsoft Data Platform & BI Consultant

Jan Mulkens is a Microsoft MVP in AI, the Competence Lead for Microsoft Advanced Analytics at Ordina Belgium and a Microsoft BI Consultant .
In his spare time, he is a speaker at conferences and user groups in Europe and he organizes 2 user groups, a conference in Belgium and one online.
Power BI Days conference (www.powerbidays.com), Belgium Microsoft Advanced Analytics User Group (bit.ly/msaaug), Flemish Power BI User Group (bit.ly/FlemishPowerBI).

Current sessions

Enabling Citizen Data Science with Microsoft

In times past, Data Science was only for those elite few with a rare combination of skills including advanced knowledge of statistics.
Microsoft has been making sure that everyone can participate in the data revolution by giving people access to predictive API’s, in-database advanced analytics and drag-and-drop predictive experiments. All thanks to SQL Server 2016 and the Cortana Intelligence Suite in Azure.
These advances have given people with less knowledge of statistics and programming the ability to become what Gartner calls citizen data scientists.
Should we be worried about fools-with-tools or should we embrace the democratization of data science as the golden age of data?
Using a combination of theory and demo’s, we explore Microsoft’s solutions to ensure democratization of data science and the possible dangers that lurk below the surface.

Towards Personal Data Science with Power BI

Microsoft states that Power BI is "a suite of business analytics tools to analyze data and share insights." Does this mean Power BI can also be used for more than just building pretty dashboards?
In this session we’ll explore how BI and Data Science are related and how Power BI can not only be used to democratize BI across the enterprise, but also to democratize Data Science!
No previous knowledge is required because after a 5 minute data science jump start, we dive into a demo scenario using Azure Machine Learning and Power BI! Throughout the story accompanying the demo's, it will become clear how you too can get start practicing Personal Data Science. Or as Gartner calls it: Citizen Data Science

At the end of the session, not only will you know the differences, and resemblances, between the BI and data science processes, you'll also be able to follow the general data science process and know in what ways Personal Data Science is an extension of Personal BI (aka: Self Service BI)
Attendees will know where Power BI can fit into the data science process (hint: not only at the end)
Attendees will know how to apply above principles to generate re-usable output in a personal data science process

Driving Power BI automation through monitoring

You finally got the go ahead and now you have a nice and shiny Power BI service or perhaps a Power BI Report Server environment.
Maybe you went all out and even have set up a deployment pipeline to automate deployments.

The one thing you probably haven't don't yet, is setting up that feedback loop.
You're missing metrics. The important metrics that enable you to manage your environment beyond 10 users.

So many things to think about...
Who's using your reports, how often and at what times?
Who actually needs a pro license, who doesn't need it anymore?
You need to plan for maintenance, you need impact assessments for outages or deployment failures.
And you surely need these metrics to show the validity of Power BI within your department or even the enterprise.

In this session you'll learn everything you'd ever want to know about monitoring your Power BI environments and how you too can start monitoring Power BI Report Server or the Power BI service like a pro!

6 Months to 5 minutes, DB & BI Deployments at the Speed of Light

Do you like Scrum as a Cargo Cult, hours of Planning Poker, CAB meetings, unhappy people, processes that are meant to slow down innovation, elaborate change management, and thousands of pages of documentation?
Neither do we.

This is the story of how a team of 6 at one of the largest international banks did everything they could to fight the status quo. From going against management demands and being the ugly duckling team to providing 4 other teams with a platform, services, and training.

You will not learn the typical cool technical tricks in this session.
Instead, you'll learn how we overcame organisational barriers to actually work in an Agile mindset and how we slowly implemented Continuous Delivery in our Database, BI, and Document Management systems while under constant outside pressure.

You'll leave with the knowledge to help your team and yourself!
Prerequisites: Attendees should have worked in IT in any organisation in the past.
Having read the Agile Manifesto AND it's 12 principles is also very helpful.

Applying DevOps practices to Machine Learning

DevOps practices range from continuous integration to continuous delivery from ensuring production is always online or easy to rollback to measuring all the things, from ensuring code and knowledge get shared to having a loosely coupled architecture and of course much more.

How do we actually get that to work with Machine Learning? And why should you care?
First of all, it turns out that any (non-) data scientist can actually be of value in the lifecycle of a machine learning solution. But more importantly, it turns out that by using the knowledge and experience from the community, it's actually possible to transform the way you deliver your machine learning solutions to the end user. It turns out it's even possible to do this much faster than ever before.

In this session, you'll be guided through a solution that uses DevOps practices to help you overcome classic issues with delivering machine learning solutions. Come for the buzzwords, stay because this is what you've always wanted in your organisation!

MLOps, Automated Machine Learning Made Easy

In this session we'll go through what Automated Machine Learning is, how to automate it's deployment and how that in turn simplifies and thus democratizes AI for everyone.

From a short high level overview of all the tools to picking the right tool for the job. The largest part of the session will be a live example of how anyone can actually start using these tools to get a model in production. As we go along, we'll touch on how to avoid the pitfalls that naturally come with the automation of a complex process.

You'll walk away with the knowledge and code to start Automating Machine Learning on your own data and delivering solutions at the speed of light.
Prerequisites: A high level understanding of Machine Learning is certainly helpful but not required.

AutoML, the good, the bad and the why

Data Science has a lot of work that's actually very tedious and most data scientists prefer to avoid that work. Most data engineers and developers who are involved in the Machine Learning process prefer to avoid this as well.
From training the same model multiple times using different features or hyperparameters to preventing over-fitting.

What do you do with work you prefer not to do? You automate it!
Throughout the industry, the smartest people at Microsoft, Google, Facebook and others have been trying to tackle this issue for a while already.
With the results we see now, it's safe to say AutoML is here to stay.

So, people tend to have a lot of questions:
When and why should you use it?
What options does this open for your data analytics team?
When and why should you avoid it?
How do you ensure it has the largest impact possible?
Can you still be compliant certain requirements?

We'll explore these questions while keeping our mind open to all solutions that exist in the wild.

Power BI: All the tools you should be using

Stop using only Power BI Desktop, you're missing out. You really are.

Microsoft, other vendors and of course our community have been creating tools for Power BI since day 1.
In this session, we'll go over the tools that exist out there with demo's left and right. From creating better models, to crafting the world's most dazzling report to managing it all. You'll of course be learning when or why you should be using each tool.

In the end, you'll leave with an understanding of how you can improve the speed and quality of the work you do with Power BI and what tools are available for you at each stage.

Past and future events

Scottish Summit

29 Feb 2020
Glasgow, Scotland, United Kingdom

Global AI BootCamp Bulgaria 2019

14 Dec 2019
Sofia, Sofia-Capital, Bulgaria

Azure Saturday Cologne 2019

7 Dec 2019
Köln, North Rhine-Westphalia, Germany

DATA:Scotland 2019

13 Sep 2019
Glasgow, Scotland, United Kingdom

Power Saturday 2019

14 Jun 2019 - 15 Jun 2019
Paris, Île-de-France, France


6 Jun 2019

Intelligent Cloud Conference 2019

8 Apr 2019 - 10 Apr 2019
Copenhagen, Capital Region, Denmark

Power BI Gebruikersdag 2019

30 Mar 2019
Utrecht, Netherlands

Belgian Power BI User Group

"Automating Power BI Deployments"
17 Oct 2018
Mechelen, Flanders, Belgium

SQL Saturday #790 Holland

"Automating Power BI"
13 Oct 2018
Utrecht, Netherlands

SQL Relay 2018 - Reading

"Automating Power BI Deployments"
11 Oct 2018
Reading, England, United Kingdom

SQL Relay 2018 - Birmingham

"Automating Power BI Deployments"
10 Oct 2018
Birmingham, England, United Kingdom

SQL Relay 2018 - Leeds

"Towards Personal Data Science with Power BI"
9 Oct 2018
Leeds, England, United Kingdom

SQL Relay 2018 - Newcastle

"Towards Personal Data Science with Power BI"
8 Oct 2018
Newcastle, Northern Ireland, United Kingdom

SQL Saturday 753 Lviv

"Practical SQL Server Machine Learning Services"
29 Sep 2018
Lviv, Ukraine


14 Sep 2018
Glasgow, Scotland, United Kingdom


"Towards Personal Data Science with Power BI"
14 Sep 2018
Glasgow, Scotland, United Kingdom

SQL Saturday 748 Cambridge

"Enabling Citizen Data Science with Microsoft"
8 Sep 2018
Cambridge, England, United Kingdom

SQL Saturday 762 Paris

"Practical SQL Server Machine Learning Services"
7 Jul 2018
Paris, Île-de-France, France

Manchester Power BI User Group

"Automating Power BI Deployments"
28 Jun 2018
Manchester, England, United Kingdom

ML Conference 2018

"Data Science, easy until it’s not"
18 Jun 2018 - 20 Jun 2018
Munich, Bavaria, Germany

Power Saturday 2018

16 Jun 2018
Paris, Île-de-France, France

SQL Saturday 742 Cork

"Data Science, easy until it's not"
9 Jun 2018
Cork, Munster, Ireland

SQL Saturday 739 Kyiv

"Rub DevOps on all the things!"
19 May 2018
Kyiv, Kyiv City, Ukraine

SQL Saturday 735 Finland

"Enabling Citizen Data Science with Microsoft"
12 May 2018
Helsinki, Uusimaa, Finland

Data & BI Summit

"Enabling Citizen Data Science with Microsoft"
25 Apr 2018 - 27 Apr 2018
Dublin, Leinster, Ireland

Global Azure Bootcamp Lisboa 2018

21 Apr 2018

SQL Saturday 704 Iceland

"Rub DevOps on all the things!"
10 Mar 2018
Reykjavík, Capital Region, Iceland

SQL Saturday 707 Pordenone

"Practical SQL Server Machine Learning Services"
17 Feb 2018
Pordenone, Friuli Venezia Giulia, Italy

SQL Saturday 679 Vienna

"Data Science, easy until it's not"
Lightning talk
19 Jan 2018
Vienna, Austria

IT Pro Portugal - Meetup 15

"Rub DevOps on all the things!"
Remote presentation
21 Dec 2017
Lisbon, Portugal

dataMinds Usergroup

"Enabling Citizen Data Science with Microsoft"
14 Nov 2017
Mechelen, Flanders, Belgium

SQL Saturday 689 Prague

"Enabling Citizen Data Science with Microsoft"
21 Oct 2017
Prague, Hlavní město Praha, Czechia

SQL Saturday 642 Sofia

"Enabling Citizen Data Science with Microsoft"
14 Oct 2017
Sofia, Sofia-Capital, Bulgaria

SQL Saturday 660 Lviv

"Enabling Citizen Data Science with Microsoft"
19 Aug 2017
Lviv, Ukraine

SQL Saturday 620 Dublin

"Enabling Citizen Data Science with Microsoft"
Lightning Talk
17 Jun 2017
Dublin, Leinster, Ireland

SQL Saturday 605 Rheinland

"Enabling Citizen Data Science with Microsoft"
10 Jun 2017
Sankt Augustin, North Rhine-Westphalia, Germany

SQL Saturday 599 Plovdiv

"Enabling Citizen Data Science with Microsoft"
27 May 2017
Plovdiv, Bulgaria

Techorama BE

"Democratizing Data Science"
22 May 2017 - 24 May 2017
Antwerpen, Flanders, Belgium

SQL Saturday 616 Kyiv

"Enabling Citizen Data Science with Microsoft"
20 May 2017
Kyiv, Kyiv City, Ukraine

Belgian Information Worker User Group - BIWUG 20170509

"Citizen Data Science with Microsoft"
9 May 2017
Diegem, Flanders, Belgium

SQLSaturday 623 Israel

"Enabling Citizen Data Science with Microsoft"
27 Apr 2017
Petaẖ Tiqwa, Central District, Israel

Battle of the Beards

29 Mar 2017

Denver SQL Server User Group March 2017 Meeting

"Democratizing Data Science with Microsoft"
Remote presentation
16 Mar 2017
Denver, Colorado, United States

UK Power BI Summit

"Enabling Citizen Data Science with Microsoft"
16 Feb 2017 - 17 Feb 2017
Hemel Hempstead, England, United Kingdom

Belgian Information Worker User Group - BIWUG 20160407

"Office 365 and Power BI"
7 Apr 2016
Diegem, Flanders, Belgium

Global Power BI User Group

"Power BI - From Personal BI to Personal Data Science"
16 Jan 2016

SQL Server User Group Belgium

"Power BI - From Personal BI to Personal Data Science"
3 Dec 2015
Mechelen, Flanders, Belgium

Data Culture Day London 2015

"Power BI - From Personal BI to Personal Data Science"
28 Nov 2015
London, England, United Kingdom