Data Science und Machine Learning Lösungen

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

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

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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

Big data, data science and machine learning in practice

Development

4.2.25

Creating a software concept: basic building block for project success

A software project without a concept is like building a house without a foundation.

Digitization

16.5.22

Standard software vs. custom software: What is which type of software suitable for?

Industry software or custom solution: Which standard software is more suitable and which custom software is more suitable - comparison with recommended actions