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Improvement for faster response times and increased efficiencies
The Pure Technologies project illustrates how open source machine learning drastically reduces processing costs by automating the analysis of large amounts of dense technical data. The award-winning solution poised the company to save millions in processing times.
See how we helped Pure Technologies achieve 99.3% reduction in average processing time.
Microsoft’s Azure Cognitive Services for fast and accurate identification
Consolidating legacy business process tools and databases to Microsoft has had an estimated annual ROI of $2 million. For client identification, a non-intrusive facial recognition Proof-of-Concept was established. The Microsoft stack was leveraged for its power, scalability, and affordability.
See how we helped The Calgary Drop-In Centre achieve improved client identification management through Microsoft Dynamics 365, facial recognition and machine learning.
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