Data Platforms and AI Applications
We build solutions with data and AI: from concept to prototype and to production-ready application. We can be the partner that gets your organization ready to run solutions at enterprise scale with ease!
A SOLID INFRASTRUCTURE FOR DATA AND AI APPLICATIONS
Design and Build Data Platforms
We build secure data platforms to process your data and use as a central data hub for your organisation. This platform can be used by your data scientists to develop AI-driven applications, or for your data analysts to create business insights and visualisations. Also, this data platform is the ideal starting point for your specialized, cloud-based data warehouses.
A good data governance is a strong requirement for all modern, data-driven organizations. And although this is not an easy task, we want to help you implement this on top of your data platform in a way that comes almost natural and does not put unnecessary constraints and requirements on your development.
Our experienced data engineers are certified on all three major cloud providers: AWS, Azure, and GCP.
THE RIGHT THING, THE RIGHT WAY
Develop and Run AI Applications
We build reliable AI applications that are engineered for scale. We embrace DevOps as the way to build with robustness and security in mind from the start, and not as an afterthought. Performance and cost monitoring, centralized logging, continuous integration, feedback and delivery are all part of our standard practice.
Our experience in building AI applications covers many applications of machine learning and AI: from recommenders to pricing optimization and from demand forecasting to predictive maintenance.
Data Science in Production Magazine
Download this magazine chockful content on how to take AI into production and realize value.
Technologies we use
Technology at the core
Since 2009 we’ve been closely monitoring AI’s renaissance and applied many of its tools and methods to challenges in enterprise-level organizations: from basic machine learning to deep learning and reinforcement learning
Our insight and experience allow us to select the most effective technology stack for your business problem. And we strongly believe in a cloud-first approach to delivering those solutions.
We also love open-source technology to avoid vendor lock-in for our clients and to stay on top of the latest developments.
SOME OF OUR TECHNOLOGY CONTRIBUTIONS
OUR TECHNOLOGY STACK
“GoDataDriven helped us move from analysis and models to data products worthy of production. Now we can really derive value from our machine learning initiatives”
“By working with GoDataDriven to build the platform and data-driven applications from the ground up, we have been able to experience the entire learning curve and learn to understand how everything works.”
“GoDataDriven’s team is very experienced in developing scalable, robust, and tested data products in the cloud that can be taken into production easily”
“The immediate and outstanding results of GoDataDriven’s sales planning model showcased the tremendous value that exists within our data. This has led to an increased awareness of the value of data within our management and the rest of our organization.”
The objective of developing machine learning algorithms is mainly to improve the customer relation, so that customer retention improves. That by itself will lead to more revenues, which is a great bonus, but not the primary target.
“ING wants to become a data-driven organization with Analytics as a business model. GoDataDriven is our partner in accomplishing this ambition. They have the expertise to deliver a wide range of trainings, for our business people, our executive and the experienced Data Scientists.”
“By developing solutions based on the data in the Data Lake, we can inform our customers proactively and help them to optimize their energy consumption.”
“GoDataDriven helped us to accelerate our learning curve in the field of Big Data. By working closely together with GoDataDriven we also created a recommendation and search suggestion engine”
Meet our people
We sat down with a few of our team members to talk about their work. Topics discussed include work-life balance, writing intellectually challenging code, and giving back to the community.