Back to all Blog Posts

statworx 2019 – A Year in Review

  • Recaps
  • statworx
20. Dezember 2019
·

Sebastian Heinz
CEO

Once again, an amazing year at statworx is coming to an end. The frequency and magnitude of positive things happening to our company are continuously increasing with every new client, employee, or partner coming to our company. That is why the very first paragraph of this post ends with a massive THANK YOU to my whole team, our customers and partners. We would not be where we are now without you. Let’s keep up the awesome work!

STATWORX is constantly growing each year, both in revenue and profit, as well as in services and products – likewise in 2019. Our growth deeply embodies a high pace of change into our company’s DNA and all the things that surround us. That is why sometimes you can lose track of all the different things happening throughout the year. To keep track of our evolving company, I’ve decided to write down some of the most important things that moved our company this year, ranging from exciting projects, new partners to great festivities and special events. Let’s begin the time travel!

Projects & Academy

The various kinds of data science, machine learning, and AI projects, which we deliver for our cross-industry customers, are the cornerstone of our company. And by cross-industry, I really mean it: automotive, finance, pharma, retail, insurance, aviation – you name it. I would assume that there isn’t a single industry we have not worked in so far. That greatly enlarges our perspective on the field of data science and AI and helps us to translate solutions from different industries or functions into our project environments across our customers. This year, there have been so many fascinating projects, both end-2-end as well as prototypes / MVPs, that it’s tough to pick the gems. My personal favorites would most likely be the ground operations optimization project for one of our airline customers, as well as our various ML and NLP projects we’ve conducted for the purchasing department of one of our automotive customers. Besides that, we’ve delivered several forecasting products, customer analytics solutions, as well as different dashboards and ML fueled applications. Furthermore, in our strategy department, we’ve supported several new customers from the financial and insurance industry, who are just getting started with data science and AI by setting up their data and analytics platform strategies. Whew!

Besides our consulting projects, the “statworx Academy” brings a multitude of different data science, ML and AI trainings and workshops to our customers. One of the most exciting training projects this year was, for sure, a company-wide AI leadership training for one of our biggest customers. With a team from their professional development department, IT, and data science in finance, we’ve forged a manifold and interactive workshop, specifically targeted at middle to top management leaders. Besides multiple training sessions in Germany, this also led to cross-continental trainings in the USA as well as China. It was fascinating to discuss with leaders from various cultural backgrounds about AI and its implications on business, society and life in general. I am really looking forward to continue this training initiative in 2020.

Another great workshop event this year was our brand-new “Deep Learning Bootcamp”. Besides our battle-proven “Data Science Bootcamp”, we’ve created a 5-day workshop all around neural networks and deep learning. Thereby, we are digging into the basic concepts, such as MLPs, CNNs, and LSTMs, but also into more advanced topics such as GANs, autoencoders, and deep reinforcement learning.

The first Bootcamp was a great success, for which we received loads of positive feedback from our participants. I can’t wait for the next session in the first quarter of 2020, with many new topics and programming exercises in Python and TensorFlow.

Investments

In 2019 we’ve also conducted our first financial investments into companies and products we believe in: first to mention is bamboolib, a product two former STATWORKERS created in their newly founded company. bamboolib is a low-code data preparation and visualization GUI for pandas in Jupyter (yes, a GUI for Jupyter). It allows data science professionals to carry out time-consuming data prep and manipulation steps 10x faster. Furthermore, it enables Python and pandas starters to learn the concepts of data prep more easily. bamboolib is currently making huge waves on LinkedIn, so I definitely recommend that you check it out!

Besides bamboolib, we’ve engaged in a joint-venture called ONEZERO-X that is bringing data science, machine learning, and AI to sports business. We’ve already had our first project for a German soccer club and created a great MVP for forecasting soccer stadium utilization by using historical sales data and many external effects. I will be presenting the new joint venture at IN-BETA AUDITIONS in Frankfurt in January 2020.

Partners

STATWORX is continually engaging with new partners to leverage synergies and to bring our services to a broader audience of customers. One of our longest and most fruitful partnerships is with Dataiku. The French software startup just reached unicorn-level company valuation and never ceases to surprise us with new powerful features on their innovative data science platform as well as with their excellent team spirit and collaborative work approach. Additionally, to support our clients on all major cloud platforms, we have further extended our cloud service provider network by entering partnerships with Microsoft and AWS, on top of our existing partnership with Google (GCP).

Depending on high-quality data in everything we do, we understand how important it is for all companies to build up a clean and structured data foundation. Therefore, on multiple occasions, we joined forces with the data management and data governance focused University of St. Gallen spin-off CDQ. Last but not least, we added renowned semiconductor manufacturer STMicroelectronics to the list of our partners. We are thrilled to leverage their STM32 microcontrollers’ capabilities, to run AI directly on edge controllers, which allows the integration of state-of-the-art neural networks in highly specialized industrial applications.

Events

When it comes to events and conferences, statworx is always ready to jump in. Not only to gather new knowledge but also to network, make new connections, and get new leads. One of our favorite events throughout the year is the Data Festival in Munich. This year, our Head of Data Science, Fabian Müller, gave an exciting talk about XAI (explainable AI), its current applications, and limitations. The Data Festival is getting bigger and bigger each year, which triggers the creativity of our marketing to come up with great new ideas for our STATWORX booth. This year, we launched our “Beat the AI” campaign, where visitors of our booth could compete against a reinforcement learning agent that learned how to play Super Mario on NES.

“Beat the AI” was also our campaign at EGG Germany 2019 in Stuttgart, the 1-day AI conference organized by our friends at Dataiku. Here, we gave a talk on how to bring data science and AI to organizations using Dataiku together with our friends from Mercedes Benz.

Another exceptional event this year was the “KEX Forecasting Challenge”. Here, a selection of AI vendors was given a dataset of daily sales data that they were asked to forecast. The actual sales data was held back to ensure a fair competition. In an intense weekend session, the “statworx Black Ops” team managed to build a machine learning model for 10 different products that was able to forecast 365 days ahead. During the presentation of the results, we’ve received great feedback from the data supplying company and currently engage in a joint project.

Another highlight of 2019 was our participation in the Swiss AI Hackathon, where we competed against 10 other teams in the development of a machine learning model for turnaround delay prediction. This 2-day event in Zurich certainly was one of the most challenging events this year, since we had a great variety of data sources to deal with to make the model work. After 2-days of coffee, red bull, beer, and pizza, the statworx team made it on to the winners’ podium and presented our modeling approach in front of several members of the Swiss BOM.

Data University

As you could read up until here, the last year was filled with new opportunities and challenges for us. One of those challenges for us as a team was the Data University, our first-ever open event. We created the event with the help of our partner BARC in early 2019. Together, we developed a marketing plan, designed the curriculum, built a website, and created the workshops. In October, we held the interactive 2-day workshop-event at the Goethe University in Frankfurt, with 40 participants, 8 trainers, and a whole lot of pizzas. Furthermore, our friends from Frankfurt Data Science organized an event in the evening about “How to become a Data Scientist” with over 100 participants that perfectly matched our topics at Data University. I want to thank everyone at BARC again for the great partnership. If you’re interested in our newest events and plans, then follow us on our various social media accounts and stay tuned.

Work events

With all the hard work we do here at statworx, we also like to relax and have some after-work fun. There have been multiple occasions during the past twelve months, where my team prepared parties, fun get-togethers and excursions to take our collective minds off of work. One of these occasions was the famous statworx summer barbecue, which took place on a very hot Friday evening in June. Everyone prepared something to eat, like a salad or tasty finger food, and we enjoyed the great weather with some fresh cocktails on our terrace.

But the barbecue wasn’t the only time we had great luck with the weather. In October, part of our crew went on a day trip to the picturesque Rheingau, the famous wine region known for its world-famous Riesling wines. With sunglasses on and a glass of delicious white wine in hand, the group went hiking for about four hours in the vineyards.

Last but not least, the Christmas spirit found its way into the statworx office. For our Christmas party in late November, the team prepared a large pot of hot wine, wrapped gifts for everyone, and showcased some very creative Ugly Sweaters. To finalize this amazing year, we also took a weekend trip to Belgium, where we time to unwind, talk, play games, laugh, and party.

As you can see, we had a lot of fun days and nights together. A big shout out to everyone who helped organize these events. Cheers!

Outlook on 2020

What a year! By writing all of this down, I started to realize how diverse and inspiring all of the different things were that happened at our company in the last year. And there is always more to come: in the first half of 2020, we will move into the brand-new statworx HQ in Frankfurt on 1’400 sqm on 2 floors. This will be our biggest and boldest move so far, which will enable our company and employees to grow, prosper, and develop even further. In terms of services, we will continue to strengthen our team and offerings in data and software engineering to accord with the skyrocketing demand for ML ops and industrialization of machine learning and AI applications. In addition to that, we will be launching our first own AI software product in 2020, which will be another massive step for our company on our collective journey along the road of statworx.

I can’t wait to see what 2020 holds for us! The only thing that remains constant in life is change. I am wishing you a happy holiday and a joyful new year.

Best wishes from your friends at statworx. This text was written by GPT-2 (just kidding).

Linkedin Logo
Marcel Plaschke
Head of Strategy, Sales & Marketing
schedule a consultation
Zugehörige Leistungen
No items found.

More Blog Posts

  • Artificial Intelligence
AI Trends Report 2025: All 16 Trends at a Glance
Tarik Ashry
05. February 2025
Read more
  • Artificial Intelligence
  • Data Science
  • Human-centered AI
Explainable AI in practice: Finding the right method to open the Black Box
Jonas Wacker
15. November 2024
Read more
  • Artificial Intelligence
  • Data Science
  • GenAI
How a CustomGPT Enhances Efficiency and Creativity at hagebau
Tarik Ashry
06. November 2024
Read more
  • Artificial Intelligence
  • Data Culture
  • Data Science
  • Deep Learning
  • GenAI
  • Machine Learning
AI Trends Report 2024: statworx COO Fabian Müller Takes Stock
Tarik Ashry
05. September 2024
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Strategy
The AI Act is here – These are the risk classes you should know
Fabian Müller
05. August 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Back to the Future: The Story of Generative AI (Episode 4)
Tarik Ashry
31. July 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Back to the Future: The Story of Generative AI (Episode 3)
Tarik Ashry
24. July 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Back to the Future: The Story of Generative AI (Episode 2)
Tarik Ashry
04. July 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Back to the Future: The Story of Generative AI (Episode 1)
Tarik Ashry
10. July 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Generative AI as a Thinking Machine? A Media Theory Perspective
Tarik Ashry
13. June 2024
Read more
  • Artificial Intelligence
  • GenAI
  • statworx
Custom AI Chatbots: Combining Strong Performance and Rapid Integration
Tarik Ashry
10. April 2024
Read more
  • Artificial Intelligence
  • Data Culture
  • Human-centered AI
How managers can strengthen the data culture in the company
Tarik Ashry
21. February 2024
Read more
  • Artificial Intelligence
  • Data Culture
  • Human-centered AI
AI in the Workplace: How We Turn Skepticism into Confidence
Tarik Ashry
08. February 2024
Read more
  • Artificial Intelligence
  • Data Science
  • GenAI
The Future of Customer Service: Generative AI as a Success Factor
Tarik Ashry
25. October 2023
Read more
  • Artificial Intelligence
  • Data Science
How we developed a chatbot with real knowledge for Microsoft
Isabel Hermes
27. September 2023
Read more
  • Data Science
  • Data Visualization
  • Frontend Solution
Why Frontend Development is Useful in Data Science Applications
Jakob Gepp
30. August 2023
Read more
  • Artificial Intelligence
  • Human-centered AI
  • statworx
the byte - How We Built an AI-Powered Pop-Up Restaurant
Sebastian Heinz
14. June 2023
Read more
  • Artificial Intelligence
  • Recap
  • statworx
Big Data & AI World 2023 Recap
Team statworx
24. May 2023
Read more
  • Data Science
  • Human-centered AI
  • Statistics & Methods
Unlocking the Black Box – 3 Explainable AI Methods to Prepare for the AI Act
Team statworx
17. May 2023
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Strategy
How the AI Act will change the AI industry: Everything you need to know about it now
Team statworx
11. May 2023
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Machine Learning
Gender Representation in AI – Part 2: Automating the Generation of Gender-Neutral Versions of Face Images
Team statworx
03. May 2023
Read more
  • Artificial Intelligence
  • Data Science
  • Statistics & Methods
A first look into our Forecasting Recommender Tool
Team statworx
26. April 2023
Read more
  • Artificial Intelligence
  • Data Science
On Can, Do, and Want – Why Data Culture and Death Metal have a lot in common
David Schlepps
19. April 2023
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Machine Learning
GPT-4 - A categorisation of the most important innovations
Mareike Flögel
17. March 2023
Read more
  • Artificial Intelligence
  • Data Science
  • Strategy
Decoding the secret of Data Culture: These factors truly influence the culture and success of businesses
Team statworx
16. March 2023
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
How to create AI-generated avatars using Stable Diffusion and Textual Inversion
Team statworx
08. March 2023
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Strategy
Knowledge Management with NLP: How to easily process emails with AI
Team statworx
02. March 2023
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
3 specific use cases of how ChatGPT will revolutionize communication in companies
Ingo Marquart
16. February 2023
Read more
  • Recap
  • statworx
Ho ho ho – Christmas Kitchen Party
Julius Heinz
22. December 2022
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
Real-Time Computer Vision: Face Recognition with a Robot
Sarah Sester
30. November 2022
Read more
  • Data Engineering
  • Tutorial
Data Engineering – From Zero to Hero
Thomas Alcock
23. November 2022
Read more
  • Recap
  • statworx
statworx @ UXDX Conf 2022
Markus Berroth
18. November 2022
Read more
  • Artificial Intelligence
  • Machine Learning
  • Tutorial
Paradigm Shift in NLP: 5 Approaches to Write Better Prompts
Team statworx
26. October 2022
Read more
  • Recap
  • statworx
statworx @ vuejs.de Conf 2022
Jakob Gepp
14. October 2022
Read more
  • Data Engineering
  • Data Science
Application and Infrastructure Monitoring and Logging: metrics and (event) logs
Team statworx
29. September 2022
Read more
  • Coding
  • Data Science
  • Machine Learning
Zero-Shot Text Classification
Fabian Müller
29. September 2022
Read more
  • Cloud Technology
  • Data Engineering
  • Data Science
How to Get Your Data Science Project Ready for the Cloud
Alexander Broska
14. September 2022
Read more
  • Artificial Intelligence
  • Human-centered AI
  • Machine Learning
Gender Repre­sentation in AI – Part 1: Utilizing StyleGAN to Explore Gender Directions in Face Image Editing
Isabel Hermes
18. August 2022
Read more
  • Artificial Intelligence
  • Human-centered AI
statworx AI Principles: Why We Started Developing Our Own AI Guidelines
Team statworx
04. August 2022
Read more
  • Data Engineering
  • Data Science
  • Python
How to Scan Your Code and Dependencies in Python
Thomas Alcock
21. July 2022
Read more
  • Data Engineering
  • Data Science
  • Machine Learning
Data-Centric AI: From Model-First to Data-First AI Processes
Team statworx
13. July 2022
Read more
  • Artificial Intelligence
  • Deep Learning
  • Human-centered AI
  • Machine Learning
DALL-E 2: Why Discrimination in AI Development Cannot Be Ignored
Team statworx
28. June 2022
Read more
  • R
The helfRlein package – A collection of useful functions
Jakob Gepp
23. June 2022
Read more
  • Recap
  • statworx
Unfold 2022 in Bern – by Cleverclip
Team statworx
11. May 2022
Read more
  • Artificial Intelligence
  • Data Science
  • Human-centered AI
  • Machine Learning
Break the Bias in AI
Team statworx
08. March 2022
Read more
  • Artificial Intelligence
  • Cloud Technology
  • Data Science
  • Sustainable AI
How to Reduce the AI Carbon Footprint as a Data Scientist
Team statworx
02. February 2022
Read more
  • Recap
  • statworx
2022 and the rise of statworx next
Sebastian Heinz
06. January 2022
Read more
  • Recap
  • statworx
5 highlights from the Zurich Digital Festival 2021
Team statworx
25. November 2021
Read more
  • Data Science
  • Human-centered AI
  • Machine Learning
  • Strategy
Why Data Science and AI Initiatives Fail – A Reflection on Non-Technical Factors
Team statworx
22. September 2021
Read more
  • Artificial Intelligence
  • Data Science
  • Human-centered AI
  • Machine Learning
  • statworx
Column: Human and machine side by side
Sebastian Heinz
03. September 2021
Read more
  • Coding
  • Data Science
  • Python
How to Automatically Create Project Graphs With Call Graph
Team statworx
25. August 2021
Read more
  • Coding
  • Python
  • Tutorial
statworx Cheatsheets – Python Basics Cheatsheet for Data Science
Team statworx
13. August 2021
Read more
  • Data Science
  • statworx
  • Strategy
STATWORX meets DHBW – Data Science Real-World Use Cases
Team statworx
04. August 2021
Read more
  • Data Engineering
  • Data Science
  • Machine Learning
Deploy and Scale Machine Learning Models with Kubernetes
Team statworx
29. July 2021
Read more
  • Cloud Technology
  • Data Engineering
  • Machine Learning
3 Scenarios for Deploying Machine Learning Workflows Using MLflow
Team statworx
30. June 2021
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
Car Model Classification III: Explainability of Deep Learning Models With Grad-CAM
Team statworx
19. May 2021
Read more
  • Artificial Intelligence
  • Coding
  • Deep Learning
Car Model Classification II: Deploying TensorFlow Models in Docker Using TensorFlow Serving
No items found.
12. May 2021
Read more
  • Coding
  • Deep Learning
Car Model Classification I: Transfer Learning with ResNet
Team statworx
05. May 2021
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
Car Model Classification IV: Integrating Deep Learning Models With Dash
Dominique Lade
05. May 2021
Read more
  • AI Act
Potential Not Yet Fully Tapped – A Commentary on the EU’s Proposed AI Regulation
Team statworx
28. April 2021
Read more
  • Artificial Intelligence
  • Deep Learning
  • statworx
Creaition – revolutionizing the design process with machine learning
Team statworx
31. March 2021
Read more
  • Artificial Intelligence
  • Data Science
  • Machine Learning
5 Types of Machine Learning Algorithms With Use Cases
Team statworx
24. March 2021
Read more
  • Recaps
  • statworx
2020 – A Year in Review for Me and GPT-3
Sebastian Heinz
23. Dezember 2020
Read more
  • Artificial Intelligence
  • Deep Learning
  • Machine Learning
5 Practical Examples of NLP Use Cases
Team statworx
12. November 2020
Read more
  • Data Science
  • Deep Learning
The 5 Most Important Use Cases for Computer Vision
Team statworx
11. November 2020
Read more
  • Data Science
  • Deep Learning
New Trends in Natural Language Processing – How NLP Becomes Suitable for the Mass-Market
Dominique Lade
29. October 2020
Read more
  • Data Engineering
5 Technologies That Every Data Engineer Should Know
Team statworx
22. October 2020
Read more
  • Artificial Intelligence
  • Data Science
  • Machine Learning

Generative Adversarial Networks: How Data Can Be Generated With Neural Networks
Team statworx
10. October 2020
Read more
  • Coding
  • Data Science
  • Deep Learning
Fine-tuning Tesseract OCR for German Invoices
Team statworx
08. October 2020
Read more
  • Artificial Intelligence
  • Machine Learning
Whitepaper: A Maturity Model for Artificial Intelligence
Team statworx
06. October 2020
Read more
  • Data Engineering
  • Data Science
  • Machine Learning
How to Provide Machine Learning Models With the Help Of Docker Containers
Thomas Alcock
01. October 2020
Read more
  • Recap
  • statworx
STATWORX 2.0 – Opening of the New Headquarters in Frankfurt
Julius Heinz
24. September 2020
Read more
  • Machine Learning
  • Python
  • Tutorial
How to Build a Machine Learning API with Python and Flask
Team statworx
29. July 2020
Read more
  • Data Science
  • Statistics & Methods
Model Regularization – The Bayesian Way
Thomas Alcock
15. July 2020
Read more
  • Recap
  • statworx
Off To New Adventures: STATWORX Office Soft Opening
Team statworx
14. July 2020
Read more
  • Data Engineering
  • R
  • Tutorial
How To Dockerize ShinyApps
Team statworx
15. May 2020
Read more
  • Coding
  • Python
Making Of: A Free API For COVID-19 Data
Sebastian Heinz
01. April 2020
Read more
  • Frontend
  • Python
  • Tutorial
How To Build A Dashboard In Python – Plotly Dash Step-by-Step Tutorial
Alexander Blaufuss
26. March 2020
Read more
  • Coding
  • R
Why Is It Called That Way?! – Origin and Meaning of R Package Names
Team statworx
19. March 2020
Read more
  • Data Visualization
  • R
Community Detection with Louvain and Infomap
Team statworx
04. March 2020
Read more
  • Coding
  • Data Engineering
  • Data Science
Testing REST APIs With Newman
Team statworx
26. February 2020
Read more
  • Coding
  • Frontend
  • R
Dynamic UI Elements in Shiny – Part 2
Team statworx
19. Febuary 2020
Read more
  • Coding
  • Data Visualization
  • R
Animated Plots using ggplot and gganimate
Team statworx
14. Febuary 2020
Read more
  • Machine Learning
Machine Learning Goes Causal II: Meet the Random Forest’s Causal Brother
Team statworx
05. February 2020
Read more
  • Artificial Intelligence
  • Machine Learning
  • Statistics & Methods
Machine Learning Goes Causal I: Why Causality Matters
Team statworx
29.01.2020
Read more
  • Data Engineering
  • R
  • Tutorial
How To Create REST APIs With R Plumber
Stephan Emmer
23. January 2020
Read more
  • Artificial Intelligence
  • Deep Learning
Deep Learning Overview and Getting Started
Team statworx
04. December 2019
Read more
  • Coding
  • Machine Learning
  • R
Tuning Random Forest on Time Series Data
Team statworx
21. November 2019
Read more
  • Data Science
  • R
Combining Price Elasticities and Sales Forecastings for Sales Improvement
Team statworx
06. November 2019
Read more
  • Data Engineering
  • Python
Access your Spark Cluster from Everywhere with Apache Livy
Team statworx
30. October 2019
Read more
  • Recap
  • statworx
STATWORX on Tour: Wine, Castles & Hiking!
Team statworx
18. October 2019
Read more
  • Data Science
  • R
  • Statistics & Methods
Evaluating Model Performance by Building Cross-Validation from Scratch
Team statworx
02. October 2019
Read more
  • Data Science
  • Machine Learning
  • R
Time Series Forecasting With Random Forest
Team statworx
25. September 2019
Read more
  • Coding
  • Frontend
  • R
Dynamic UI Elements in Shiny – Part 1
Team statworx
11. September 2019
Read more
  • Machine Learning
  • R
  • Statistics & Methods
What the Mape Is FALSELY Blamed For, Its TRUE Weaknesses and BETTER Alternatives!
Team statworx
16. August 2019
Read more
  • Coding
  • Python
Web Scraping 101 in Python with Requests & BeautifulSoup
Team statworx
31. July 2019
Read more
  • Coding
  • Frontend
  • R
Getting Started With Flexdashboards in R
Thomas Alcock
19. July 2019
Read more
  • Recap
  • statworx
statworx summer barbecue 2019
Team statworx
21. June 2019
Read more
  • Data Visualization
  • R
Interactive Network Visualization with R
Team statworx
12. June 2019
Read more
  • Deep Learning
  • Python
  • Tutorial
Using Reinforcement Learning to play Super Mario Bros on NES using TensorFlow
Sebastian Heinz
29. May 2019
Read more
This is some text inside of a div block.
This is some text inside of a div block.