The document provides a comparison of AI services offered by major cloud providers such as IBM, Microsoft, Amazon, and Google as of April 2017. It outlines the different approaches each vendor takes to natural language understanding, speech recognition, and visual recognition capabilities. Additionally, it mentions various APIs and services available for text analysis, language translation, speech processing, and image recognition.

1. 1
AI Services Compared:
IBM Watson
Microsoft Azure
Amazon AWS
Google Cloud
April 2017
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2. 2
Not all services are created equal
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Language Speech Visual
IBM Microsoft Google Amazon
Each vendor has used a different approach to support required Cloud Services

3. 3
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
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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Cloud Natural Language API
Derive insights from unstructured text using Google
machine learning
Cloud Translation API
Dynamically translate between thousands of available
language pairs
Amazon Lex
Provides advanced deep learning functionalities of
automatic speech recognition (ASR) and natural
language understanding (NLU)

4. 4
Speech to Text:
Convert human voice into written word
Text to Speech:
Enable computers to speak like humans
Speech
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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Cloud Speech BETA
Speech to text conversion powered by machine
learning
Amazon Polly
A service that turns text into lifelike speech that
enables a build of entirely new categories of
speech-enabled products.

5. 5
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
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Cloud Vision API
Derive insight from images with our
powerful Cloud Vision API
Cloud Video Intelligence Private BETA
Search and discover your media content
with powerful Cloud Video Intelligence API
Amazon Rekognition
Enables detection of objects, scenes, and faces
in images, as well as search and compare faces
between images.

6. 6
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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