The document compares IBM Watson services and Microsoft Azure services for artificial intelligence capabilities. It lists various natural language processing, speech, visual, and artificial intelligence services offered by each including conversation tools, language translation, text and speech recognition, computer vision APIs, and more. The final section lists various relevant topics for artificial intelligence, big data, business, and technology.

1. 1
Compared:
IBM Watson Services/
Microsoft Azure Services
March 2017
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2. 2
Conversation: Build chatbots that understand
natural language, deploy, on messaging
platform, websites, and any device
Natural Language Understanding Natural
language processing for advanced text
analysis.
Natural Language Classifier: Interpret and
classify natural language
Document Conversion: Transform documents
into different formats
Tone Analyzer: Understand tone and style in
written text
Personality Insights: understand personality
characteristics, needs, and values in written
text
Language Translator: Translate content into
multiple languages
Retrieve and Rank: Enhance information
retrieval with machine learning
Personality Insights Understand personality
characteristics, needs, and values in written
text
Language
Azure Bot Service: Intelligent, server-less bot
service. Built-in templates support multiple
channels and scales on-demand
Bing Spell Check API: Detect and correct
spelling mistakes within your app
Language Understanding Intelligent Service:
Teach your apps to understand commands from
your users
Linguistic Analysis API: Easily parse complex text
with language analysis
Text Analytics API: Detect sentiment, key
phrases, topics, and language from your text
Translator API: Translate speech and text with a
simple REST API call
Web Language Model API: Leverage the power
of language models trained on web-scale data
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3. 3
Speech to Text: Convert human voice into
written word
Text to Speech: Enable computers to
speak like humans
Speech
Visual
Visual Recognition: Understand image
content
Computer Vision API: Distill actionable
information from images
Content Moderator: Automatically moderate
text, images, and videos, augmented with
human review Emotion API: Personalize
experiences with emotion recognition
Face API: Detect, identify, analyze, organize,
and tag faces in photos
Video API: Analyze, edit, and process videos
within your app
Bing Speech API: Convert speech to text and
back again, and understand its intent
Custom Speech Service: Fine-tune speech
recognition for anyone, anywhere
Speaker Recognition API: Give your app the
ability to know who's talking
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4. 4
Artificial Intelligence, Banking, Big Data,
Business Analytics, Business
Architecture, Business Capability,
Business Intelligence, Business
Leadership Business Process, Business
Transformation, Chat Bots, Chief Data
Architect, Cloud, Customer Centricity,
Customer Relationship Management ,
Data Architecture , Data Assessments,
Data Governance, Data Integration,
Data Process Modeling, Data Quality,
Data Science, Data Strategy,, Data
Visualization, Data Warehouse, Design,
Deep Learning, Financial Services,
Enterprise Architecture, FSLDM,
Hadoop, Information Lifecycle
Management, Investment, Machine
Learning, Master Data Management,
Metadata Management, Mobile, Next
Generation Data Platform, Open Data,
Open Source, Python, R, Reference
Data Management, Roadmap, Risk
Management, Spark, Startup,
Technology Stack, Thought Leadership
Craig C. Milroy
@craigmilroy
ca.linkedin.com/in/craigcmilroy
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