1. Technical Capabilities
As part of Enterprise Productivity Initiatives

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

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

4. 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 Language Understanding Intelligent Service
Natural Language Processing Execution for BOT Conversations
Natural Language Query for Cognitive Search
MS Translator API
Auto detection of Language on conversation
On the fly service based Translation
MS Spell Check API
Checking spelling before intent matching in conversation
MS Custom Speech Service
Enabling BOT channels with speech based conversation
MS Speech API
Interoperability of Speech and Text
Speech Accent Management
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
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
Cognitive Tool
Business Usage in Enterprise Productivity
MS Computer Vision
Matches images from in-built image DB reference
Limited image DB category covering only pre-designated ones
MS Custom Vision
Matches images from custom image DB reference
Unlimited image DB categories as created by the admin user
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 QnA Maker API
Building quick FAQ
Natural Language aware question answer interface without any formal learning
Facebook Wit AI
Natural Language Processing Execution for BOT Conversations
MS Cortana
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

5. Thank You