Production, logistics, sales or HR: Valuable amounts of data are generated every day in almost every area of your company. The question is: How can you use this information to your advantage? What business cases are conceivable and how can they be implemented technically? These are precisely the questions we answer.
Your organization is constantly generating data. You ask yourself: What can I use it for? What benefits can I derive from it? Let us guide you and show you how to create value from your data:
Using data analytics and artificial intelligence (e.g., machine learning), we delve into the depths of your data treasure trove to identify correlations and gain insights.
Data engineering is the engine room of your data-driven digitization. Only with a scalable and stable data supply can you successfully generate added value from your data in the long term.
You want to know about data engineering? Read about it in our blog post.
To ensure that your data project does not become a castle in the air, we build the excellent software that your data deserve. This is how data models, mathematical modeling and AI solutions come into practice and can be used beneficially by you.
AI & Data applications are not a matter of course. We ensure that your models deliver added value and grow with your requirements, not only on the day they go live, but also years later.
Our Data Science, Machine Learning and Data Engineering specialists have more than 25 years of experience in software development. We build your end-to-end data solution.
Whether extensive business requirements, uncollected data treasures and historically grown system landscapes - we know (and love) complex projects.
We combine data science with AI expertise and software development and accompany you throughout the entire data journey: from the initial brainstorming to the successful software go-live.
As part of the redevelopment of Deutsche Bahn's sales platform, we are creating a central storage location for all business-relevant sales data. This data lake comprises several petabytes of data from a wide variety of sources. This enables our customer to perform fast, short-term data analyses on almost any sales-relevant topic.
For Stadtwerke München, we are developing an intelligent forecasting model for the occupancy of parking spaces throughout the city. The prediction model, based on machine learning algorithms, takes into account current weather and event data and was integrated by us into the consumer app of the Stadtwerke.
KI-iLOG supports the planning process of intra-logistics at Daimler AG. Specifically, this involves the delivery planning of components required for assembly. We are developing an AI that automatically makes suggestions to logistics planners about the components they need. This reduces the manual workload enormously and minimizes clerical errors.
Do you have a specific request or questions about possible AI and data analytics projects for your company? Send a request and we will get back to you.
