Computer vision
Computer vision is all about teaching robots or computers to see
We open the eyes of machines and teach them to see and understand so they will be able to recognize symbols, objects and faces.
Why Basefarm?
Depending on the use case and the data situation, we can provide our clients with powerful pre-trained neural networks, for example from Google or Facebook. With sufficient data we can also develop and train very specific networks for our clients. We can implement computer vision concepts for static problems such as photo analysis, as well as for dynamic problems such as video analysis. We are also able to help to establish suitable datasets.
Our Data Science Team possesses extensive sector-spanning experience in the field of artificial intelligence. With a mix of mathematicians, psychologists, physicists and computer scientists, the team is able to examine the various facets of a data challenge from a wide range of angles. We stay on the cutting edge of research and do not shy away from technical innovations.
From ide to cable
The initial phase is followed by specific development steps and cycles that pave the way to actual applications and solutions – the Data Solution itself.
This constructive phase is characterized by practicerelevance and usability. Using conventional consultancy approaches and methods, the result might be, for example, confirmation that a data case is feasible and an indication of how it could work.
However, the whole process grinds to a halt after the prototyping or proof of concept stage.
In contrast, Data Thinking goes much further. Rather than setting prototyping as the objective, it focuses on product maturity from the outset; use and application are considered as the next step in the process chain throughout.
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Customer Expectations
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Communities & Startups
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Trends & Disruptions
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Social & Technological Change
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Business Challenges
Big data Blog
kundcase:
DATA THINKING
AT C-LEVEL
- Project: Capability assessment and development of a data maturity roadmap for an international retail holding
- Approach: Workshops and individual interviews with business units and IT;
“ There are no best practices out there
– just practices to learn from and get inspired by.”
– Florian Dohmann, Senior Data Scientist
- Capability Assessment – unique model for the evaluation and analysis of operational and organizational skills and competencies within a company (data, algorithms, technology, mindset), fit gap analyses, determination of key insights and recommended actions
- Results: Identification and prioritiza-tion of recommended actions, data maturity roadmap (planned for 24 months)
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