ibm watson boston meetup may 27 2015

Watson Developer CloudBoston MeetupMay 27, 2015Tejas Parikh ([email protected])@tejasparikh

© 2015 International Business Machines Corporation

mailto:[email protected]

IMPORTANT DISCLAIMER

2

IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. Information regarding potential future products is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information mentioned regarding potential future products is not a commitment, promise, or legal obligation to deliver any material, code or functionality. Information about potential future products may not be incorporated into any contract. The development, release, and timing of any future features or functionality described for our products remains at our sole discretion.

What is Watson?


Watson: a new partnership between human and computers

Scale expertise by elevating the

consistency and objectivity of decision making across an

organization.

Enhance the cognitive process of

professionals to strengthen decision making in the

moment

Accelerate development of expertise in

others by capturing the expertise of top performers


Reusable services form the basis for all Watson cognitive solutions

Services

The same services are used by business partners, customers, and IBM Developers.


IBM has radically expand access to Watson services

Access restricted to partners and IBM developers

Accessible by anyone with a Bluemix account

Wait until services are GA to release

Release in Beta and gather input from user community

North America Global

One service 12 services and more coming


Introducing a new way to access Watson services


Watson Developer Cloud Services Available Now


• Personality Insights• Tradeoff Analytics• Relationship Extraction• Concept Insights• Speech to Text• Text to Speech• Visual Recognition• Natural Language Classifier• Language Identification• Language Translation• Question and Answer• Concept Expansion• Message Resonance• AlchemyAPI Services

Personality Insights

What is it?

Improved understanding of people's preferences to help engage users on their own terms

How does it work?

The IBM Watson Personality Insights service uses linguistic analytics to extract cognitive and social characteristics, including Big Five, Values, and Needs, from communications that the user makes available, such as email, text messages, tweets, forum posts, and more. By deriving cognitive and social preferences, the service helps users to understand, connect to, and communicate with other people on a more personalized level.

Use Cases-The service can analyze text based on a customer’s twitter stream to help a travel agency decide between leading with a budget or luxury trip offerAnywhere improving a customer engagement can help create an organization differentiate itself.


http://en.wikipedia.org/wiki/Big_Five_personality_traits





© 2014 International Business Machines Corporation© 2015 International Business Machines Corporation 10

Personality Insights Demohttp://your-celebrity-match.mybluemix.net/

http://www.msnbc.com/msnbc/how-supercomputer-sees-the-state-the-union

http://your-celebrity-match.mybluemix.net/

http://your-celebrity-match.mybluemix.net/




Language Identification

What is it?

Identifies the language in which text is written

How does it work?

The Language Identification service detects the language in which text is written. This helps inform next steps such as translation, voice to text, or direct analysis. The service can be used in tandem with the Machine Translation service. Today, the service can identify 15 languages – Arabic; Chinese (Simplified); Chinese (Traditional); Cyrillic; Danish; Dutch; English; Farsi; Finnish; French; German; Greek; Hebrew; Hindi; Icelandic; Italian; Japanese; Korean; Norwegian (Bokmal); Norwegian (Nynorsk); Portuguese; Spanish; Swedish; Turkish; Urdu

Use Cases-A building block for Machine Translation and future tech



Language Identification Demo

http://ibmlaser.mybluemix.net/liddemo.html




What is it?

Globalize on the fly. Translate text from one language to another.

How does it work?

The Machine Translation service converts text input in one language into a destination language for the end user. Translation is available among English, Brazilian Portuguese, Spanish and French.

Use Cases-

A French speaking help desk representative is assisting a Portuguese speaking customer through a chat session and is able to interact through the translation service

Machine Translation



Machine Translation Demo

http://ibmlaser.mybluemix.net/mtdemo.html



Speech to TextWhat is it?

Automatic recognition of the words that are being spoken in a live audio stream, and presents the highest-scoring textual representation of that message.

How does it work?

In addition to converting a raw audio signal into a best-guess of the words that are being spoken, intelligence about the relevant grammar / how language is used within a specific context is incorporated to generate a more accurate transcription.

Example Use Cases• A new integration paradigm for mobile apps.• Voice-control of applications / embedded devices. • Transcription of meetings and conference calls. Dictation

of emails. • Critical building block for “Speech-to-Speech” translation.

© 2015 International Business Machines Corporation 15


Speech To Text Demo

https://speech-to-text-demo.mybluemix.net/




Text to SpeechWhat is it?

Generates an audio file that has a verbal representation of the input text – complete with appropriate cadence and intonation, and, in the future, the ability to customize the pronunciation of specific words.

How does it work?

Generates an audio file that has a verbal representation of the input text – complete with appropriate cadence and intonation.

Example Use Cases• Enable a new interaction paradigm for mobile apps.• Assistance tools for the vision-impaired. • Read texts / emails aloud. • Critical building block for enable “Speech-to-Speech

Translation”



Text to Speech Demo

http://text-to-speech-demo.mybluemix.net/



Concept InsightsWhat is it?Locate relevant documents that may not directly mention your query.

How does it work?The Concept Insights service links documents you provide with a pre-existing graph of concepts based on Wikipedia (e.g. 'The New York Times', 'Machine learning', etc.). Two types of links are identified: explicit links when a document directly mentions a concept, and implicit links which connect your documents to relevant concepts that are not directly mentioned in them.

Example Use Cases• A legal firm could utilize this service to identify cases which

may be related to the case in question• Improve engagement on any external website



Concept Insights Demo

http://concept-insights-demo.mybluemix.net/




Relationship Extraction

What is it?

Intelligently finds relationships between sentences components (nouns, verbs, subjects, objects, etc.)

How does it work?Parses sentences into their various components and detects relationships between the components. It can process new terms (like people's names in a news feed) it has never analyzed before through contextual analysis. Sentence components include parts of speech (noun, verb, adjective, conjunction, etc.) and functions (subjects, objects, predicates, etc.). The service maps the relationships between the components so that users or analytics engines can more easily understand the meaning of individual sentences and documents.

Use Cases-

The service can analyze a news article and pull out the relevant people, organization, event type, date/time, or location of actions taken. It then can relate the components such as what adjective describes what noun and what action a subject takes upon what object.



Relationship Extraction Demohttp://ibmlaser.mybluemix.net/siredemo.html

http://ibmlaser.mybluemix.net/siredemo.html

http://ibmlaser.mybluemix.net/siredemo.html

Natural Language Classifier

What is it?

Natural Language Classifier service uses machine learning algorithms which can help your application understand the language of short texts and make predictions about how to handle them.

How does it work?The Natural Language Classifier analyzes a string of text and assigns predefined categories to it by applying deep learning technology. Deep learning is a relatively recent set of approaches that use algorithms with similarities to the way the human brain works. Deep Learning algorithms offer state of the art approaches in image and speech recognition, and the Natural Language Classifier now applies them to text classification.

Use Cases- Classify tweets into a set of classes, such as events, news, or opinions. Analyze text messages into categories, such as Personal, Work, or Promotions. Sentiment analysis on text from social media or other sources and identify whether it relates positively or negatively to

an offering or service.


Natural Language Classifier



Natural Language Classifier Demohttp://natural-language-classifier-demo.mybluemix.net/

http://natural-language-classifier-demo.mybluemix.net/



Tradeoff Analytics

What is it?Helps make better choices under multiple conflicting goals. Combines smart visualizations and analytical recommendations for tradeoff exploration. How does it work?Tradeoff Analytics helps people make better choices when multiple conflicting goals come into play. Tradeoff Analytics uses Pareto filtering techniques in order to surface out only the optimal alternatives across multiple criteria. It then help the decision maker analyze the tradeoffs within the optimal set of alternatives helping them select the option that best meets their preferences and priorities.

Use Cases• Wealth management using the technology to help choose

mutual funds



Tradeoff Analytics Demo

http://tradeoff-analytics-demo.mybluemix.net/

http://hedge.mybluemix.net/






Message Resonance

Visionary mobile protoype

What is it?

Communicate with people with a style and words that suits them

How does it work?

The message resonance service analyzes draft content and scores how well it is likely to be received by a specific target audience. This analysis is based on content that’s been written by the target audience itself such as fans of a specific sports team or new parents. Today, analysis can be done against people active in cloud computing or discussions but future versions will let users provide their own community data.

Use Cases-

Among people active in cloud computing discussions, option A content is likely to resonate very well, option B poorly, and option C moderately well.



Message Resonance Demohttp://watson-mr-demo.mybluemix.net/

http://watson-mr-demo.mybluemix.net/

http://watson-mr-demo.mybluemix.net/

Concept Expansion

What is it?

Maps euphemisms or colloquial terms to more commonly understood phrases

How does it work?

The Concept Expansion service analyses text and interprets its meaning based on usage in other similar contexts. For example, it could interpret “The Big Apple” as meaning “New York City”. It can be used to create a dictionary of related words and concepts so that euphemisms, colloquialisms, or otherwise unclear phrases can be better understood and analyzed.

Use Cases-

“drugs” can be expanded to:

start seed terms motrin, aspirin, Keflex

post expansion allegra, lisinopril, metformin, aspirin, equagesic, cimetidine, fiorinal, vancomycin, avelox, protonix, glimepiride, protonix, verapamil, norco, inderal, hctz, advair


Question and Answer

Understands question

Produces possible answers and evidence

Analyzes evidence

Computes confidence

Delivers response, evidence and confidence

Asks a question

Considers response and evidence

What is it?

Direct responses to users inquiries fueled by primary document sources

How does it work?

Interprets and answers user questions directly based on primary data sources (brochures, web pages, manuals, records, etc.) that have been selected and gathered into a body of data or ‘corpus’. The service returns candidate responses with associated confidence levels and links to supporting evidence. The current data corpora on BlueMix focuses on the Travel and Healthcare industries.

Use Cases-

Healthcare: What is a stroke? What is the cause of Wilson Disease? Travel: Where is the best place to stay in Prague?


Visualization Rendering

Visionary mobile prototype

What is it?

Graphical representations of data analysis for easier understanding

How does it work?The service takes input data and graphically renders it as an interactive visualization which can range from a common business chart to more advanced layouts. The visualizations can be easily modified to match user needs, visual styling, and types of data being analyzed.

Use Cases-

The service could represent neighborhood demographic data as mini pie charts showing income levels centered on geographic locations on maps, or as tree maps that can switch from looking at income by age to house size or by education level.


AlchemyLanguage

Text Analysis Functions: Entity Extraction - AlchemyAPI's named entity extraction is capable of identifying people,

companies, organizations, cities, geographic features and other typed entities from your HTML, text or web-based content.

Sentiment Analysis - The sentiment analysis API is capable of computing document-level sentiment, sentiment for a user-specified target, entity-level sentiment, quotation-level sentiment, directional-sentiment and keyword-level sentiment. These multiple modes of sentiment analysis provide for a variety of use cases ranging from social media monitoring to trend analysis.

Keyword Extraction - AlchemyAPI's keyword extraction API is capable of finding keywords in text and ranking them.

Concept Tagging - The concept tagging API is capable of making high-level abstractions by understanding how concepts relate, and can identify concepts that aren't necessarily directly referenced in the text.

Relation Extraction - AlchemyAPI's relation extraction API is capable of parsing sentences into subject, action and object form and then adding additional semantic information such as entity extraction, keyword extraction, sentiment analysis and location identification.


AlchemyLanguage

Text Analysis Functions (contd.): Taxonomy Classification - Using complex statistics and natural language processing technology,

the taxonomy API can classify your content into its most likely topic category up to five levels deep.

Author Extraction - Automatically extract author information from news articles or blog posts. Language Detection - AlchemyAPI provides a robust language detection facility capable of

detecting the language of any text, HTML or web-based content. Text Extraction - AlchemyAPI can automatically extract the important information from a

webpage, removing navigation links, advertisements and other undesired content. Microformats Parsing - Use microformat parsing to enhance webpage categorization and

indexing and to perform content discovery tasks. Feed Detection - AlchemyAPI's feed detection API can find the feeds within webpages and return

the links. Linked Data Support - Linked Data is a method of exposing, sharing and connecting data on the

web via dereferenceable URIs. Linked Data aims to extend the Web with a data commons by publishing various open datasets as RDF on the Web and by setting RDF links between data items from different data sources.


AlchemyVision

Image Link Extraction - Given any URL, the Image Link Extraction API will scan the designated page to find the most prominent image and directly retrieve the URL for that image. It can then be appropriately classified and tagged.

Image Tagging - With AlchemyVision’s image tagging API, you can quickly categorize and organize image libraries at a massive scale.

Face Detection/Recognition - When provided an image file or URL, the AlchemyVision Face Detection and Recognition API returns the position, age, gender, and, in the case of celebrities, the identities of the people in the photo.


AlchemyData News

News + Blogs + NLPTARGETED SEARCHGive me news articles and blog posts about: Apple [the company] Watch [the product] Have a positive sentiment Include the verb "buy"

TREND ANALYSISGive me time series data for: Articles in the past 72 hours that mention "IBM" the company Return time series data in one hour increments

AND MANY MORE… Detect financial events (company acquisitions or product announcements) Enrich CRM data Identify Content Marketing opportunities Research on a particular topic or person


Who is using the services today?

We ran a five week closed beta with twelve participants. Examples:

“…we were able to quickly and easily embed Watson's capabilities into our eyeQinsights platform to provide an even more personalized shopping experience”

“we’re able to work with cognitive computing capabilities that we couldn’t dream of creating ourselves - it’s a fantastic opportunity and a real chance to transform our industry”

“[this] is like putting the Hubble telescope in the hands of a backyard astronomer… Watson’s cognitive possibilities alone will spawn a completely new service industry…”


IBM Watson Developer Cloud Resources

38

Website: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/ and http://www.alchemyapi.com/ Documentation: http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc and http://www.alchemyapi.com/api Sample Apps on Github: https://github.com/watson-developer-cloudTwitter: @IBMWatsonStackoverflow: http://stackoverflow.com/tags/ibm-watson/infoCommunity: https://developer.ibm.com/watson/Get your account on Bluemix - https://ibm.biz/cloudboston IBM Watson Hackathon @ World of Watson 2015 - http://ibmwatsonhackathon.challengepost.com

http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/



http://www.alchemyapi.com/

http://www.alchemyapi.com/

http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc

http://www.ibm.com/smarterplanet/us/en/ibmwatson/developercloud/doc

http://www.alchemyapi.com/api

http://www.alchemyapi.com/api

https://github.com/watson-developer-cloud

https://github.com/watson-developer-cloud

https://twitter.com/IBMWatson

https://twitter.com/IBMWatson

http://stackoverflow.com/tags/ibm-watson/info





https://developer.ibm.com/watson/

https://developer.ibm.com/watson/

https://ibm.biz/cloudboston

http://ibmwatsonhackathon.challengepost.com/

http://ibmwatsonhackathon.challengepost.com/


What will you do with Watson?

ibm watson boston meetup may 27 2015

Technology

watson services access

reusable services

business partners

text text

potential future products

text messages

development of expertise

future features