Cognitive Computing: Can Computers Learn from Experience? - Deloitte Dbrief, Nov 7, 2013

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With recent advances in cognitive computing, computers may soon be able to help experts make better decisions by making sense of unstructured data. Systems are being trained today to sense, predict, infer and, in some ways, think. Learn about recent advances in cognitive computing and ways it can help you improve business decision making.

Transcript of Cognitive Computing: Can Computers Learn from Experience? - Deloitte Dbrief, Nov 7, 2013

The Dbriefs Technology Executives series presents:

Cognitive Computing: Can Computers Learn from Experience?Rajeev Ronanki, Principal, Deloitte Consulting LLPDavid Steier, Director, Deloitte Consulting LLP

November 7, 2013

Copyright 2013 Deloitte Development LLC. All rights reserved.

Cognitive computing introduction

How is it different from traditional computing?

Structured vs. unstructured data

Cognitive analytics

Case studies

Convergent solutions


Follow @MarkAtDeloitte or #cognitivecomputing during the webcast

Copyright 2013 Deloitte Development LLC. All rights reserved.

Are you familiar with any of these new cognitive computing approaches like IBMs Watson, Numenta and Google Now?

Had not heard of them prior to this webcast Have heard of some of these in the news Have followed them but have not thought of them as

representing a new class of computing Have used some of these tools and look forward to more Dont know/Not applicable

Poll question #1

Copyright 2013 Deloitte Development LLC. All rights reserved.

Historical timelineThe evolution of Cognitive Computing

Turing Test published: a computer that exhibits intelligent behavior equivalent to, or indistinguishable from, that of a human.

Scientific community focuses on machine translation

Scientific community focuses on AI First successful NLP systems MYCIN diagnosed infectious blood


Semantic classification & probabilistic parsing are combined in machine systems. Can derive rules and their probabilities

First commercial database management system tracks huge amount of structured data for Apollo Moon Mission

Machine learning algorithms for language processing introduced

Judea Pearl brings probability and decision theory into AI

Watson. Question answering system capable of answering questions posed in natural language

TAKMI (Text Analysis & Knowledge Mining) developed to capture and utilize knowledge embedded in text files applied to call centers

TAKMI provides insights on patient groups to help doctors treat groups of patients at a time

Watson: IBM, WellPoint, Memorial Sloan Kettering use Watson to give doctors treatment options in seconds

Worlds first single molecule computer circuit

The High Performance Computing Act of 2004 was enacted

IBM Content, Predictive and Streaming analytics

Streaming analytics process 5 million messages of market data per second to speed up financial trading decisions














Over the decadesThe last 10 years

Copyright 2013 Deloitte Development LLC. All rights reserved.

Cognitive computing

Emulates strengths of the human brain, including parallel processing & associative memory

Enables natural language processing of structuredand unstructured data.

Understand/leverage big data in real time Use machine learning to develop context-based


Basics Current Investments

Cognitive Computing can push past the limitations of human cognition, and connect the dots between big data, enabling more informed decisions. A couple of industry examples include:

Academic Commercial Consumer

The development of computer systems inspired by the human brain

Financial Services Implications:Advise in trading, and help identify financial fraud cases

Healthcare Implications:Incorporate all new medical evidence, individual patient histories, and eliminate geographic constraints.

Potential applications of cognitive computing

Boltzmann Machine

Never-Ending Language Learning (NELL)

Saffron Natural

Intelligence Platform

Facebook AI Group


IBM Watson


Google Now

Apple Siri

Copyright 2013 Deloitte Development LLC. All rights reserved.

How is it different?

Sequential processing

Driven by programming language

Not real-time

Predefined logic

Static business rules


Defined input parameter

Event driven

Machine learning and natural language based

Parallel processing different sources at the same time

Context driven

Dynamic learning algorithm

Sensory & mobile based

Continuous collection and feedback

Traditional Computing Cognitive Computing

User Interface

Application Layer

Processing Platform

Copyright 2013 Deloitte Development LLC. All rights reserved.

Cognitive computing architecture

Analytic Solutions

Data & Analytics Platform

Content Lifecycle Services

Data Corpus Core Engine





Extract Ingest Discover

Curation Services

Ingestion Services

Enrichment Services

Search Indices

Semantic Models

Derived Knowledge

Question Analysis

Hypothesis Generation

Evidence Scoring

Final Merge and Rank

Cognitive Analytics Applications

Natural Language Processing (NLP) Stack

Machine Learning Modules

Computing Resources (Cloud/On-Premise)

Modeling & Processing Engine

Copyright 2013 Deloitte Development LLC. All rights reserved.

Do you see a role for adopting cognitive computing technologies into your business?

Still unclear as to how these fit into our strategy We are tracking these developments but no plans yet Beginning to develop a roadmap in some areas Have active plans or projects beginning now Dont know/Not applicable

Poll question #2

Copyright 2013 Deloitte Development LLC. All rights reserved.

Not all data is created equal

Structured data is being rapidly augmented by unstructured data

Structured Data

Email & blog contentVideo & social contentPatient records10-Ks & public filingsIndustry reports & research journals

Unstructured Data

Transaction & CRM dataResearch & market dataMainframe dataPoint-of-sale data


Generation & Scoring

Hypothesis Generation &


Final Evidence & Scoring

Final Evidence & Scoring

Initial Question

Initial Question

Final Insights

Final Insights

Advanced processing capabilities such as Natural Language Processing analyze disparate data to yield valuable insights

40-50% annual growth

in digital data volume1

~8xof unstructured data vs. structured data by 20203

1, page 52HP Autonomy Whitepaper: Transitioning to a New Era of Human Information, page 33, page 2

62%annual growth

in unstructured data2

Copyright 2013 Deloitte Development LLC. All rights reserved.

Cognitive analytics

Cognitive Computing

Industry Application

Healthcare: A global cognitive analytics provider and major cancer medical center creating a cognitive system that uses cancer patient treatment data to assist oncologists to diagnose and treat patients based on the most current available data.

Retail: Cognitive computers serving as customer service lines, in-store kiosks, or digital store clerks providing answers to customers questions around products, trends, recommendations, etc. pulled from millions of data points and structured / unstructured data.

Financial Services: Narrative Science arming investment managers and financial advisors with customized portfolio intelligence, and clients with regular, mobile-friendly account performance summaries, updates, imbalance alerts, changes in risk, etc.

Basic Application

Drive insights with rich context/unstructured data Form hypotheses and predictions based on

machine learning to aid real time decision making

Self-correcting and evolving algorithm that emulates human cognition

Big data processing

Platform for machine based learning

Processing of unstructured data

Natural language processing

Processing power and flexibility

Real time decision making Context rich insights/data

Multiple Industries

Cognitive Analytics

Copyright 2013 Deloitte Development LLC. All rights reserved.

Case study: Health Plan improves patient care

Combine claims and provider data to gain insight into the true health of the patient

Use Cognitive Analytics to identify patients most at risk for hospital re-admissions and high-cost events

Refine and enrich the solution as the dataset evolves

Augments scarce skillset, and leverages subject matter experts to review/refine instead of performing the primary analysis

Proactively identify at-risk patients and prevent disease before it occurs or gets worse

Over 100 terabytes of claims data, with 200+ points of correlation

Petabytes of medical notes, physical exams, test results, etc. from providers

Ability to process a billion new claims each year is constrained by clinical subject matter expert

High-Level Process

Combine with related

population data

Combine with related

population data