Headerbild zu Data Science

AI & Data Science

Using data and AI effectively to make better decisions, improve products and services and open up new business opportunities.
Contact us now

The amount of data that companies produce and process every day is constantly growing. This data contains valuable information about customers, markets, business processes and much more. But how can companies use this data effectively to make better decisions, improve their products and services and tap into new business opportunities?

Glühbirne als Symbol für Business Intelligence

Our services

  • include data science, machine learning, deep learning and generative AI solutions tailored to your specific challenges and goals.
  • help you to understand, analyse, visualize and model your data in order to gain insights and derive recommendations for action.
  • support you in selecting suitable tools and methods, such as machine learning, artificial intelligence or statistics.
  • ensure efficient implementation and seamless integration of data science solutions into your existing systems and processes.
  • offer you the right development and operating environment. Both on-prem, in the cloud and responsibly.
  • include the selection of the appropriate architecture
Request a non-binding meeting

Our general approach

We follow a proven approach in our data science projects, which is based on the following steps:

Understanding

We take the time to understand your business objectives, requirements and data sources and formulate a clear problem definition.

Explore

We explore your data using various techniques to understand its quality, structure, patterns and relationships and identify potential questions and hypotheses.

Modeling

We develop and test various data models to answer the most relevant questions and hypotheses and achieve the best results.

Communicating

We present the results of our data analysis to you in an understandable and appealing form, e.g. with dashboards, graphs or reports. We explain the underlying methods and assumptions and give you concrete recommendations for your next steps.

Implement

We support you in implementing data science solutions in your existing systems and processes. We ensure that the solutions are robust, scalable and maintainable and meet your requirements.

Operate

We are also happy to take over the complete operation of your solution and draw your attention to any changes (e.g. model drift, data drift) and suggest optimizations.

Our experts

Matthias Bauer
CTO & Teamlead Data Science X-INTEGRATE Software & Consulting GmbH
Contact
Stephan Pfeiffer
Geschäftsführer X-INTEGRATE Software & Consulting GmbH
Contact
Isabel Kick
Head of Analytics synaigy GmbH
Contact
Potraitbild von Alexander Elkin
Alexander Elkin
Senior IT-Architect, Bereichsleiter Applications & Data novaCapta GmbH
Contact

Our service platforms and technology partners

Additional information

Get in touch with us now!

We would be happy to advise you in a non-binding consultation and show you the potential and possibilities of your AI and data science projects. Simply leave your contact details and we will get back to you as soon as possible.

Service

Decision Automation

We offer a comprehensive service in the field of decision automation, ranging from consulting and design to implementation and operation
Articifial Intelligence & Data Science
Service

Artificial Intelligence & Data Science

Data Science is all about extracting valuable information from structured and unstructured data.

Data Science & Advanced Analytics
Kompetenz 9/3/20

Data Science, AI & Advanced Analytics

Data Science & Advanced Analytics includes a wide range of tools that can examine business processes, help drive change and improvement.
Blog 8/10/23

Machine Learning Pipelines

In this first part, we explain the basics of machine learning pipelines and showcase what they could look like in simple form. Learn about the differences between software development and machine learning as well as which common problems you can tackle with them.
Headerbild Data Insights
Service

Data Insights

With Data Insights, we help you step by step with the appropriate architecture to use new technologies and develop a data-driven corporate culture
Headerbild zur AI Factory for Insurance
Service 7/5/21

AI Factory for Insurance

The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. It is an innovation and implementation factory to systematically develop, train and deploy AI models in digital business processes.
Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Kompetenz

Artificial Intelligence & Data Strategy

Every company collects and manages vast amounts of data, e.g. from production processes or business transactions.
Headerbild für IBM SPSS
Technologie

IBM SPSS Modeler

IBM SPSS Modeler is a tool that can be used to model and execute tasks, for example in the field of Data Science and Data Mining, via a graphical user interface.
Headerbild zur Logistik- und Transportbranche
Branche

AI & Digitization for the Transportation and Logistics Indus

Digitalisierung und Transparenz der Prozesse sowie automatisierte Unterstützung bei der Optimierung können Logistikunternehmen helfen, den Spagat zwischen Kosten und Leistung besser zu bewältigen, um langfristig als wertvoller Partner der Wirtschaft zu agieren.

Produkt

Cloud Machine Learning

Instead of writing code that describes the action to be performed by the computer, your code provides an algorithm that adapts itself. Learn faster and better with Machine Learning!
Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

Blog 12/7/22

State of Fast Feedback in Data Science Projects

DSML projects can be quite different from the software projects: a lot of R&D in a rapidly evolving landscape, working with data, distributions and probabilities instead of code. However, there is one thing in common: iterative development process matters a lot.
Wissen 5/2/24

Unlock the Potential of Data Culture in Your Organization

Are you ready to revolutionize your organization's potential by unleashing the power of data culture? Imagine a workplace where every decision is backed by insights, every strategy informed by data, and every employee equipped to navigate the digital landscape with confidence. This is the transformative impact of cultivating a robust data culture within your enterprise.
Technologie

Pimcore als Open Source Software Platform

Pimcore is a free-to-use open source software platform and is already used effectively in many corporate fields. With Pimcore, your classic day-to-day business problems with portals and websites are easily solved as we tailor the platform to your specific business requirements.
Blog 12/19/22

Creating a Cross-Domain Capable ML Pipeline

As classifying images into categories is a ubiquitous task occurring in various domains, a need for a machine learning pipeline which can accommodate for new categories is easy to justify. In particular, common general requirements are to filter out low-quality (blurred, low contrast etc.) images, and to speed up the learning of new categories if image quality is sufficient. In this blog post we compare several image classification models from the transfer learning perspective.
Produkt

Google AI

Google Cloud Platform saves you costly investments and relies on high scalability to help you drive innovation in your company!
Headerbild zu Big Data, Data Lake und Data Warehouse
Service

Big Data, Data Lake & Data Warehousing

For the optimal solution – with special consideration of the business requirements – we combine different functionalities.
Blog

Responsible AI: A Guide to Ethical AI Development

Responsible AI is a key requirement in the development and use of AI technologies. You can find everything you need to know here!
Headerbild zu Data Governance Consulting
Service

Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.