Digitalization with data science
and artificial intelligence
Data science from AI strategy consulting to MLOpsData science from AI strategy consulting to MLOps
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AI
Portfolio
Data science from AI strategy consulting to MLOps: Our expertise ranges from implementing AI in business applications using data analytics, data science, data and ML engineering to state-of-the-art AI modeling and prototyping. We have also built our own AI cluster infrastructure consisting of 8 NVIDIARTX™A6000 GPUs with 384 GB RAM for training and testing AI models.
How does AI support your business processes?
At QualityMinds, we help you find out exactly that – hands-on with data science professionals or with AI testing, but also in comprehensive strategy consulting.
We are familiar with the challenges of AI modeling – from pre-processing to ML engineering and MLOps.
In addition, we have extensive project experience, particularly in working with NLP (Natural Language Processing), including generative AI applications with LLMs (Large Language Models).
We also offer expert knowledge from our project experience, especially in the field of autonomous driving and computer vision. But why are artificial intelligence and machine learning also important topics for your digitalisation strategy?
How is your
digitization
strategy?
Why are artificial intelligence and machine learning also important topics for your digitalisation strategy?
The technologies are developing rapidly, you won’t be able to avoid them.
Early adopters will experience an advantage with a structured AI strategy.
ML and AI generate added value from data and thus build on big data and data analysis, etc. along your business processes.
Artificial intelligence is already a central component of many efficient digitalisation strategies.
Artificial intelligence –
a must in your
digitalization strategy
The strategic use of AI not only opens up new horizons, but also enables sustainable value creation and positioning in the age of digital transformation. The integration of AI into business processes opens up new opportunities to increase efficiency, reduce costs and promote innovation.
podcast
What is Machine Learning and why should we have a closer look at it?
QualityHeroes Podcast Episode 28:
Dr. Namrata Gurung talks about machine learning and why it affects all of us.
Definition
AI topics
Artificial intelligence: Subset of AI techniques that use machine learning models that are trained to perform a specific task.
Machine Learning: Subset of AI techniques that use machine learning models that are trained to perform a specific task.
Deep Learning: Machine learning using neural architectures that utilise multiple hidden layers.
Expertise
Autonomous driving
QualityMinds offers more than 200 experts in Germany and Poland with in-depth expertise in software engineering and especially in the field of quality assurance and artificial intelligence.
Since 2018, we have been developing solutions to ensure the safety and quality of autonomous driving systems in cooperation with all German OEM manufacturers (original equipment manufacturers), strategic automotive suppliers and research institutes.
We combine our consulting experience with strong research and development activities.
“We were particularly impressed by the high level of commitment and expertise of the QualityMinds team.
Even under time pressure, they always found creative workarounds and innovative solutions for our AI workshop platform.
The solutions can even help us in other areas that go beyond the product.
The way the QualityMinds team works, which also carried out and interpreted comprehensive load tests, for example, has made a lasting impression on us.
After just five weeks, a platform has been created for DATEV customers that allows the integration and use of other DATEV prototypes and runs within the DATEV Cloud Native infrastructure.”
Find smart use cases for your organisation?
We are the right partner
