ACT, the service delivery process Wissenstil offers is structured with 5 distinct phases Analyse -> Architect -> Customise -> Create -> Transit. ACT ensures best possible use of expertise of Wissentstil engineering team and WAIS framework to deliver custom solutions to the clients.
- Image Analysis
- Anomaly Detection
- Decision Support
- Natural Language Processing and Speech Recognition
WAIS framework is created keeping in mind challenging tasks Interpreting videos and images of any nature. Our expertise image processing technologies help us analyse and decipher images to deliver:
Both supervised and unsupervised techniques are used for detecting anomalies in a data set from any domain. Examples of techniques used for this are:
- Object Recognition
The skill-set of our team of data scientist will come in handy to deliver AI-assisted business decision management solutions. To create the solutions we make use of Pattern recognition, Predictive analysis etc
We build the intelligent NLP applications which turn data into text that is in human-readable form. Speech to Text, Text to Speech, utilities to chat bots are examples of applications our NLP offering.
Data collection and labelling is an important, yet time consuming phase when it comes to developing Deep Learning based AI solutions. Data labelling for image analysis solutions is about getting several thousand samples of accurately annotated images. Wissenstil offer this as a service to AI solution providers – we make use of both skilled resources and WAIS framework’s auto-labelling capability to provide this service.