AI/ML and Cognitive

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AI/ML and Cognitive

At Vodo, we couple augmented intelligence with NLP, image and video analytics, and emerging technologies like AR and VR to help businesses deliver immersive customer experiences. We help clients create product can with AI enabled chip, think, decide, act and or perform action without aid of human interference.

Our Artificial Intelligence/ML offering enable organizations to:

Machine Learning: Use of ML in business applications enables faster decision making, increased productivity, business process automation and faster anomaly detection. Our Machine learning help businesses with deep ML algorithm with various AL/ML capabilities like:

Deep Learning
Predictive Analysis
Statistical Modeling
Data Mining

Image Processing and Video Analysis: Use of AI/ML coupled with other technologies help clients with analysis of video and image to enable different applications. Among the application of this technology are:

Face Detection
Person Detection and Tracking
OCR
Identification of Objects
Image Tagging

Natural Language Exploration: Use of NLP helps companies to utilize it in applications that uses metadata, emotions, etc. Applications includes:

Conversational Interfaces/ Chatbots
Speech / Voice Recognition
Text Mining
Information Extraction

Augmented and Virtual Reality (AR/VR): Applying the AR/VR in business to help customer and clients have immersive view of the products and exploring its utilizations on daily usage.

Cognitive Learning: Companies adopting cognitive technology and AI are set to achieve tremendous growth. Voto is excited to leverage the massive potential of AI for your products, solutions, and services that will transform the way your business works. Here’s a list of some of our key offerings in the realm of cognitive engineering:

Predictive Modelling and Anomaly Detection: Use ML based techniques to predict trends and detect anomalies in data
Streaming Analysis: Ingest vast amounts of data from disparate sources and monitor it to make underlying predictions and correlations
Personalization and User Experience: Use ML techniques for targeting recommendations and personalizing user experiences
Chatbots: Use advanced AI for human-like interactions with a virtual assistant
Natural Language Processing: Apply ML to process text and speech for business use
Deep Learning: Use different neural networks to detect and analyze rich image, audio, and video data
Big Data Architecture: Ingest, process, and analyze vast quantities of data