Technical Capabilities As part of Enterprise Productivity Initiatives

Platform Expertise Areas – Microsoft Stack Language Understanding Intelligent Service Speech Azure BOT or MS BOT Microsoft Cognitive Services Translator API Spell Check API Azure Machine Learning Vision * Search Face API Image Search API Custom Speech Service Emotion API Computer & Custom Vision Speech API 2 Cortana Knowledge Qn. A Maker API * In Progress

Platform Expertise Areas – Other Stacks Present Capability as in Roadmap 3

Business Usage of Cognitive Services in EPS Cognitive Tool Business Usage in Enterprise Productivity MS BOT / Azure BOT • Conversational Interface for proactive / reactive communications • Exposure to several channels over different devices MS Computer Vision • Matches images from in-built image DB reference • Limited image DB category covering only pre-designated ones MS Language Understanding Intelligent Service • Natural Language Processing Execution for BOT Conversations • Natural Language Query for Cognitive Search MS Custom Vision • Matches images from custom image DB reference • Unlimited image DB categories as created by the admin user MS Translator API • Auto detection of Language on conversation • On the fly service based Translation MS Image Search API • Matching images in large repository for faster search • Image comparison before and after an event to decide the change and its impact MS Spell Check API • Checking spelling before intent matching in conversation MS Qn. A Maker API MS Custom Speech Service • Enabling BOT channels with speech based conversation • Building quick FAQ • Natural Language aware question answer interface without any formal learning • Natural Language Processing Execution for BOT Conversations MS Speech API • Interoperability of Speech and Text • Speech Accent Management Facebook Wit AI MS Cortana MS Azure ML • Artificial Intelligence based on Data Lake • Predictive Models for Future Events • Proactive analysis of Audit data to raise concern flags for a future event • Used as channel in Conversational BOT • An IOT interface for Device Data Management for Machine Learning and Prediction • Intelligence interface for proactive decisions / suggestions MS CNTK • Deep Learning API for building custom Machine Learning interfaces • Python based interface for implementing Neural computing MS Face API • Authentication though Face Recognition • Facial Recognition based Attribute mapping with individual profiles Unity • API to build Augmented Reality Interfaces • UX Provider aligned to Augmented Reality MS Emotion API • Sentiment Analysis based decision making • Sentiment score dependent content filtering and routing 4

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