cognitive point of view from world of watson 2016

©2016 IBM Corporation

Frank Stein, IBM Analytics Solution Center [email protected]

Perspective on Cognitive from IBM's WoWNovember 2016

©2016 IBM Corporation2

1. Our Goal: Augmenting Intelligence (the new AI) – Man + Machine, extending human expertise

2. AI Ecosystem – Businesses, Technology Providers, Data Providers – all linked

3. It’s not about AI (either one) – It is about solving problems, your industry, your geography, society

4. Ownership Matters – Whose data? Whose Algorithms? Whose Insights?

5. The value isn’t in doing what we do today just faster/cheaper, but in doing what can’t be done today

Key Messages


§ Where do you need a deeper bond with your organization, client, constituent? – E.g. Staples, Hilton (Pepper the Robot)

§ Where do you need to have everyone perform as an expert? – Watson Oncology Advisor, Watson Teacher Advisor

§ Embedded Cognition– Whirlpool (kitchen appliances), Medtronics (insulin

pump), GM (cars) § Cognitive Business Processes

– Airbus Smarter Fleet Management§ Discovery, Research

– Watson for Drug Discovery with Ontario Brain Institute

What will you do with Cognitive?


§ Better Data = Better Outcomes, need to curate the ingested corpus, be careful about the ontology

§ Significant Upfront work training the system – but it will pay off as the system improves over time

§ Cognitive and Cloud Services go together § Domain adaptation requires domain expertise § Address user anxiety over AI

– Partnership on AI – established with Microsoft, Amazon, Google and Facebook § Will conduct and publish research in such areas as Ethics,

Fairness/inclusiveness, transparency, privacy; trustworthiness, reliability, and robustness

What we’ve learned so far


§ Will deliver personalized content through the dashboard and other digital channels supported by the OnStar Go ecosystem to make the most of time spent in the car.

§ iHeartRadio will use Watson Personality Insights to curate personalized experiences that leverage on-air personalities and local content from radio stations across the U.S.

§ The platform employs Watson Tradeoff Analytics to give a traveling foodie dining recommendations from celebrity chefs when driving in a new city.

Cognitive Mobility (GM OnStar Go)


§ Teva: Data-Driven, Proactive Chronic Disease Management– Using Watson’s cognitive processing capabilities and newly

developed algorithms to calculate the prospective risk of health events, such as an asthma attack, delivering that information directly to caregivers and their patients

– First project to integrate data from The Weather Company (an IBM Business) into health analysis

§ Teva: A Systematic Approach to Discovering New Uses for Existing Drugs– Create a systematic process for drug repurposing.

Combine human insight with unique machine-learning algorithms and real-world evidence accessed through the IBM Watson Health Cloud.

§ John Kelly: “In 3-5 years, every single medical professional is going to want to consult Watson”

Cognitive Healthcare


§ Pearson Partnership– Watson embedded in Pearson’s immersive learning system – Students can ask questions in natural language and Watson

which has ingested the material in the Pearson system will provide suggestions and answers. Watson will then be able to ask questions of the student to check their understanding of the topic.

– Instructors get insights on how well students are learning § Watson Teacher Advisor

– Personalized coach for the teachers helps teacher individualize the teaching for each student, and has pointers to millions of resources.

– Machine learning will allow it to get better over time, providing better recommendations based on teacher feedback

Cognitive Learning Experiences


§ Watson Data Platform allows employees to work together to gain insight from data.– Enables collaboration of Data Scientists, Data Engineers, Business

Analysts and Developers– Provides data cleansing, visualization and sharing capabilities – Support for analytic notebooks – Supports R, python, Scala, Rstudio, Shiny, and sparklyr (R interface to

Spark), Java§ Watson Machine Learning built on Apache Spark automatically can build

models on structured and unstructured information– Apache SparkML (also available from Bluemix.net ) – Cognitive Assistance for Data Science technology scores machine

learning algorithms against the data to recommend best match

New Data Platform with Machine Learning


§ Grammy-winning music producer Alex Da Kid used Watson’s technology to inspire his new song about heartbreak, “Not Easy.”

§ Watson analyzed the last five years of culture and music data

§ To identify the most pervasive themes, Watson Alchemy Language API used to read and understand Nobel Peace Prize speeches, New York Times articles, etc.

§ The Watson Tone Analyzer API then ingested more than 2 million lines of related social content to understand the emotional sentiment

§ Used Watson Beat - a cognitive technology that understands music and lets artists change the sound of a song based on the mood they want to express

Cognitive Creativity


§ Role Dependent– Future Developers of Cognitive Computing Technology– Practitioners – applying the Cognitive Computing Technology– Professionals – most beneficial ways to integrate Cognitive Technologies into their work/field

§ Core Technology (math/compsci, engineering students)– Learning/Reasoning/Perception/Interaction/Knowledge (traditional AI fields of study)

§ Interdisciplinary – Science – evolution and development of intelligence in brains and organizations, learning– Design – Designing digital cognitive systems, HMI, Collaboration, systems engineering– Business – Case studies in application of Cognitive and AI, economics, Competitive Advantage

Cognitive Skills


Thank You

MerciGrazie

GraciasObrigado

Danke

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§ World of Watson Replays https://ibmgo.com/wow16§ Beats by AI https://www.ibm.com/blogs/research/2016/07/beats-by-ai/

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