The manner
of operationalizing AI calls for massive amounts of statistics to go with the
flow unhindered thru a five-degree pipeline, from ingest thru archive. As firms
of every kind include AI technology, they face data demanding situations from edge
to cloud.
AI
solutions have become an integral part of digital transformation across
geographies and across sectors. One of the most interesting things about AI
technology solutions is that a single algorithm or model can often be applied
across various industries or use cases. Complex problems require custom,
cutting-edge AI solutions.
Advances in
deep learning have revolutionised the field of computer vision and enabled
applications that were unthinkable less than a decade ago. From quality
assurance in industry to medical imaging in hospitals, the automatic detection,
understanding and measuring of image and video content has broad applications
and is already positively impacting many industries.
The current
challenges lie in developing fair and robust models that work reliably on
diverse forms of data. Thanks to our custom labelling and validation platform,
we can build interpretable and transparent models that are properly validated
on high-quality data.
Time series
methods allow to derive insights from data that unfolds over time, such as
climate and weather data, medical data, financial data, and industrial data.
This enables to understand and forecast trends in areas such as supply chains
and urban planning, detect and predict anomalies, and generally classify time
series, for instance to predict circulatory failure of ICU patients.