GoDataFest is a wrap! This year, the fourth edition of this data technology festival took place. After last year’s edition that took place entirely online, it was great to open the doors again for a hybrid edition of GoDataFest. This year, the event was organized as part of another initiative, the Club Cloud Conference.
IT professionals and business executives around the globe immersed themselves in topics such as analytics engineering, data mesh, data democratization, ML Ops, data literacy, strategy, computer vision, and deep learning. Over 130 speakers from pioneering organizations discussed the many ways in which data and cloud technology provide industry leaders and disruptors a competitive edge when it comes to time to market, agility, and growth. The hybrid event was recorded and streamed from studios with a live audience, reaching thousands of professionals in Europe, Australia, and the US.
During the first week of November, companies like Danone, Heineken, Interfood, Ahold, Bol.com, Funda, Picnic, and Schiphol Group took to GoDataFest’s stage. They shared how they are leveraging the benefits of a data-driven way of working, accelerating their business with data applications, and changing how they are organized. Leading and emerging tech providers were also present. From AWS, GCP, Microsoft, and Databricks to NATS, Coiled, SODA, Fivetran, and dbt.
Instead of wondering what GoDataFest and the overarching Club Cloud Conference were all about, ask what we didn’t discuss! The extensive program that sometimes even took us into the evening covered the basics, like cloud adoption, target operating models, and data literacy. It included deep dives into data democratization, GPU-accelerated data science, data mesh, analytics engineering, and FinOps. Finally, we also talked at length about scaling your business with cloud-native software engineering practices, embedding shared responsibility for a secure cloud environment, and growing your business in new regions like China.
One of the sessions, by Luuk Figdor (Sr. Sports Technology Specialist, EMEA, AWS), showed attendees how AWS uses advanced data applications to enhance the professional sports viewing experience.
“Technology adoption is a challenge. You have to trust technology’s ability to take over tasks. Grow this confidence through education and examples of cost-effectiveness, easy scaling, and better sustainability. There is no single solution. However, the cloud does offer many options to automate and boost productivity. For us, this means we can personalize and offer end-users increasingly specific content,” Figdor said.
Cloud and data are hot topics, but how do you become truly successful? Joost Olieroock (Data & Analytics Lead, Guidion) shared his experiences setting up a data team in a scale-up environment without losing focus on human needs.
“Data capability is a huge challenge. It involves developing a data strategy, building infrastructure, and professionalizing the team. Imagine scaling up data that is spread across the entire company; it’s tough,” Joost explains. “We have set up a data warehouse, established a data team, and changed our way of working. Now we can focus on centralization, increasing data usage, and implement predictive modeling.”
Introducing cloud or data impacts every part of your business, and Club Cloud wouldn’t be complete without addressing this topic. Among others, we listened to Danone share how it established data literacy organization-wide and partook in a lively discussion with EV Box’s CIO Madelein Smit about Google Cloud, data analytics, security, and tech team diversity.
EV Box sees how partners with a specific focus can advance their business, such as Snowflake, whom the company works with for data analytics. But how does one organize this ecosystem smartly and efficiently?
Other challenges that were mentioned during the week include finding the right people (Sabine Scheffer, Data Scientist, Gall & Gall), redefining value, and using data to better serve their customers, consumers, employees, and suppliers, and overall change management (Ciaran Jetten, Sr. Manager Global Analytics Transformation, Heineken).
“To continue to deliver value, you have to change, and change comes with resistance. Evangelization, knowledge exchange and training are urgently needed to help people understand how to work with data. That’s why Heineken now has its own data academy, with more and more senior management training focusing on data.” – Ciaran Jetten, Sr. Manager Global Analytics Transformation, Heineken
“As a host, I feel that I can say that the sheer amount of talks during GoDataFest was truly amazing. Where else can you hear first-hand from end-users in many industries, some of them that are truly fast changing, how data empowers their organizations to accelerate their business. Think of organizations in industries like food (Danone), tech (Kongsberg), and travel and aviation (Schiphol). Other organizations that shared their practical experiences include Funda, Hema, Bol.com GetInData, Königsweg, and Fivetran and dbt.” – Renald Buter, COO at GoDataDriven and GoDataFest host
GoDataFest aims to meet the growing demand for data & AI knowledge, insight into the latest data technology, best practices, and a community of like-minded people so companies don’t have to reinvent the wheel. This conference would not have been possible without the help of our partners Microsoft, Amazon Web Services, Google Cloud, Databricks, Alibaba Cloud, Hashicorp, NATS, Cloud Health, Monday.com, Coiled, Fivetran, and SODA.
The five streams will be led by a group of energetic and enthusiastic hosts. To begin with the main host that will guide you through the program of all five days, we have data engineer Jasper Ginn. Jasper will be the general host of GoDataFest where he will be introducing topics, speakers and make sure that everything runs as it should.
Jasper Ginn, Host of GoDataFest
Jasper will then be joined by a different co-host for every stream. The role of the co-host is to go into detail of various topics with the guests.
The co-hosts are:
AWS: Renald Buter, Chief Operations at GoDataDriven
Google Cloud: Bart Verlaat, CEO of Binx.io
Databricks: Stephen Galsworthy, Chief Data and Product Officer at Quby
Microsoft: Yehuda Hofri, experienced CTO and CDO
Open-Source: Jurjen Helmus, researcher and head of minor data science at Amsterdam University of Applied Science
Join GoDataFest on Tuesday, November 3rd for the Google Cloud stream. A range of Googlers and experienced business professionals will share stories about data as a first-class citizen, humans versus autoML, but will also go into the common business challenge of getting data science models into production and the introduction of ML Ops on the work floor.
We’re pleased to announce two more workshops:
RAPIDS is an open-source software that accelerates the whole Data Science Pipeline from Data Preparation/Visualization to Machine Learning on GPU. In this workshop, you can get familiar to RAPIDS which runs on Python with pandas/scikit-learn-like API and experience the speed-up it provides.
To stay ahead in the Data & AI landscape, companies should be able to make informed decisions to leverage the power of artificial intelligence. How can you start the journey to become data driven in order to remain or grow into an industry leader? This exclusive virtual seminar is designed so you are able to start the transformation and elevate the capabilities of your organization. With client cases, breakout sessions, networking opportunities, the seminar – offered to you by Cumulus Park and GoDataDriven – is a must-go event for all executives.
Xpirit joins GoDataFest as a supporter. Thanks to Xpirit, we are able to expand the program of the Microsoft day. Participants of GoDataFest now get access to the skills of the company that employs the most Microsoft MVPs in one single company worldwide!
Check out the Microsoft program, in association with Xpirit!
During GoDataFest (nov. 2- 6), these wonderful ladies will be sharing their experiences with data science, data engineering, and cloud.
Naz Levent shares tricks deploying ML Models to Amazon Sagemaker.
Sara Gerion will be talking monitoring AWS Lambda and Serverless.
Elaine ☁ Versloot talks about ways to take control of your cloud spend.
From Bol.com, Melissa Perotti explains how Bol.com structures ML projects, Mieke Nan dives into the role of the Analytics Translator.
Simone Cammel answers the question why you are not getting your data science models in production.
Data engineer Charlotte van der Scheun demonstrates how Albert Heijn is using Data Build Tool (dbt)
Check out the full program at https://godatafest.com
During this 4-hour workshop on Friday, November 6th from 13:00 – 17:00 CET, you will build your own ‘mini google’.
During this session, host Mark Schep will guide you while building your search engine on COVID-19 related articles (https://aylien.com/blog/free-coronavirus-news-dataset). You will embed your search engine in a simple user interface and publish it as a website. At the end of the day you will have something like this:
You will learn to work with the following tools to get to your end goal:
* The search engine: [Azure Cognitive Search](https://azure.microsoft.com/en-us/services/cognitive-services/)
* Data storage: [Azure Blob Storage](https://azure.microsoft.com/en-us/services/storage/blobs/)
* The User interface: [Docker](https://www.docker.com/) and [Streamlit](https://www.streamlit.io/)
* Deployment: [Azure Container Registry](https://azure.microsoft.com/en-us/services/container-registry/) and [Azure App Services](https://azure.microsoft.com/en-us/services/app-service/).
We will close the day with an open discussion on the implications of our solution & possible use cases
Preparation:
Registration is free of charge. Simply fill in this form to register.
Mark Schep is an entrepreneurial industrial engineer with a passion for data science. His ambition is to build data driven products that add value to organisations. To get there, he leans on his background and experience as a data scientist which he uses to translate business problems into data solutions.
Mark will help you identify valuable data science applications, as well as how to make them work, make them better, and get them to scale.
The Google Cloud stream covers a broad range of topics. In 2,5 hrs different Googlers and experienced business professionals will share stories about data as a first-class citizen, humans versus autoML, but will also go into the common business challenge of getting data science models into production and the introduction of ML Ops on the work floor.
In 2,5 hrs different Googlers and experienced business professionals will share stories about data as a first-class citizen, humans versus autoML, but will also go into the common business challenge of getting data science models into production and the introduction of ML Ops on the work floor.
In 2,5 hrs different Googlers and experienced business professionals will share stories about data as a first-class citizen, humans versus autoML, but will also go into the common business challenge of getting data science models into production and the introduction of ML Ops on the work floor.
With Ahmet Erdem, Kaggle Grandmaster at NVIDIA.
RAPIDS is an open-source software that accelerates the whole Data Science Pipeline from Data Preparation/Visualization to Machine Learning on GPU. In this workshop, you can get familiar to RAPIDS which runs on Python with pandas/scikit-learn-like API and experience the speed-up it provides.