Data science and machine learning solutions

How we can support you with big data, data science and machine learning

  • Big data: data concepts and architectures for large amounts of data
  • Data exploration: initial analysis of your data sets with recommendations for action
  • Data cleansing and analysis in iterative cycles
  • Evaluation and development of machine learning models
  • Interface development and integration into BI and ERP applications
  • DevOps for Machine Learning: Infrastructure Management, Monitoring, and Automated Training
  • Practical machine learning training and workshops, including on Azure services
Step 1

Define a project now: What can we do for you?

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Step 2

Which industry does your company operate in?

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Step 3

What specifically is it about?

I need support in the following disciplines:

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Step 4

What are you up to?

Please describe your project to us:

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Step 6

Do you already have an idea of how to implement it?

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Possible applications

You would like to gain a wealth of experience and deep insights from your data, for example in BI applications

You want to evaluate the quality of your historical data sets and their usability for various machine learning use cases

Predictive maintenance: You want an intelligent solution for maintaining and inspecting your machines or other assets

You want an intelligent solution for your quality control

You want an intelligent solution for your energy management

Crawling: You want to collect data from public sources, check it for plausibility and process it further

Intelligent material recognition through machine learning and data science

Development of a smartphone app for mobile coating systems with an intelligent material recognition function

Why generic.de?

  • Investment security through sustainable software solutions
  • long-term flexibility through clean code
  • abbreviated “time to market”
  • All manufacturing steps are “Made in Germany”
  • over 20 years of experience

Microsoft Azure Cognitive Services

With Cognitive Services, Microsoft Azure offers an out-of-the-box solution for AI applications. The services can also be implemented in the corresponding applications without basic knowledge in the field of machine learning and enable a wide range of AI functions:

lingua

Speech input and output, speech recognition, translations, text-to-speech, text analysis, etc.

tableau

Machine vision, facial recognition, form recognition, video analysis, etc.

Monitoring

Anomaly detection, content assessment, data monitoring, problem diagnostics, etc.

Your benefits of Azure Cognitive Services

cost-effective option to implement AI features
rapid deployment and implementation of services
comprehensive portfolio of services
AI features with human-like benefits
Added value through continuous new developments and improvements as well as through extensive databases and expertise from Microsoft
Individually adapted solutions can be created even with very small data sets (in the range of 10 to 100) or out of the box without your own data
Individual adjustments to the solution are in many cases possible via no/low code
low integration costs as infrastructure is provided and managed by Microsoft

Our technology stack

backend technologies

Microsoft.NET
.NET Core
Node JS

Front-end technologies

Angular
Xamarin
Ionic

programming languages

C-Sharp
F-Sharp
python
TypeScript

cloud computing platforms

Azure

container platforms

Docker
Kubernetes

How can we help you?