Unlocking Big Data: The Power of Cognitive Computing. James Kobielus, IBM

Transcription

1 Unlocking Big Data: The Power of Cognitive Computing James Kobielus, IBM

2 James Kobielus IBM's big data evangelist IBM senior program director for product marketing in big data analytics Editor-in-chief of IBM Data magazine Spearheads IBM's thought leadership activities in Big Data, Hadoop, cognitive computing, enterprise data warehousing, and advanced analytics Advises IBM's product management and marketing teams in all things big data. Popular speaker, author, blogger, and ubiquitous social-media eminence

3 Speaker Social Media Here are my blogs: /james-kobielus; ; Kobielus/; search/kobielus/ jgkobiel@us.ibm.com 3

4 The Analyst s Journey Gain critical business and data analytics skills Uncover insights and provide value to your organization Put your knowledge to use immediately REGISTER TODAY passbaconference.com

5 Unlocking Big Data: The Power of Cognitive Computing James Kobielus, IBM

6 THINK. How Can We Do It Better?

7 Thinking aka Cognition--in Discovery, Learning, and Decision Support What is happening? Discovery and exploration Business Applications What action should I take? Decision management Cognitive processes Why did it happen? Reporting, analysis, content analytics What could happen? Predictive analytics and modeling

8 Thinking Better: The Cognitive Systems Era is Here! Learning unparalleled insights algorithmically from fresh streams of big data The cognitive revolution: dynamically optimized app logic without hardwired or explicit programming Hardwired processing logic Software-explicit processing logic Data-derived processing logic

9 Cognitive computing the ability of automated systems to: handle the conscious, critical, logical, attentive, reasoning, evaluative modes of thought learn from data and from interactions with people adapt their behavior to these inputs without explicit programming

10 IBM Pioneered and Advances Cognitive Computing Statistical analysis for indexing and searching natural-language text Natural language processing, statistical analysis, machine learning, big data, multistructured sources, semantic search, conversational optimization, etc.

11 Watson s Evolution IBM Research Project (2006 ) Jeopardy! Grand Challenge (Feb 2011) Watson for Healthcare (Aug 2011 ) Watson for Financial Services (Mar 2012 ) Watson Industry Solutions (2012 )

12 Cognitive Coming-Out: IBM Watson on Jeopardy! Decision support in a quiz-show context Conscious, critical, logical, attentive, reasoning, & evaluative modes of thought: Natural language processing Question answering Learned from data and interactions with people: Unstructured text Complex domain space requiring broad general knowledge and linguistic sophistication Interacted naturally with host, board, and other contestants Adapted behavior to these inputs without explicit programming: Identified, buzzed, and voiced correct answers with speed and precision These same Watson-enabling technologies have been applied more broadly in diverse industries and solution domains.

13 Watson Cognitive Computing in Action: the Jeopardy! Challenge Broad/Open Domain Complex Language High Precision High Confidence High Speed $200 If you're standing, it's the direction you should look to check out the wainscoting. $600 In cell division, mitosis splits the nucleus & cytokinesis splits this liquid cushioning the nucleus $1000 The first person mentioned by name in The Man in the Iron Mask is this hero of a previous book by the same author. $2000 Of the 4 countries in the world that the U.S. does not have diplomatic relations with, the one that s farthest north These same requirements characterize many real-world applications!

14 Watson s Cognitive Fabric Learns Adaptively 1 Understands natural language and human style communication 2 3 Generates and evaluates evidencebased hypotheses Adaptively learns from training data, interaction data, and outcome data Watson s cognitive fabric leverages the power of natural language processing as the cornerstone to translate interactions between computers and human (natural) languages.

15 DeepQA: Soul of the Watson Cognitive Fabric NLP-based cognitive computing technology, leveraging a massively parallel, probabilistic, evidence-based architecture

16 Machine Learning & Big Data: Watson s Cognitive Foundation Watson s cognitive fabric uses machine learning to find deep patterns within big data Statistical algorithms for learning from data Abstracts quantitative models from data and prior knowledge Enables data-driven analysis, inference, pattern recognition, and prediction Volume Variety Velocity Data at Scale Data in Many Forms Data in Motion Machine learning Big data

17 Thank You 17

18 PASS Virtual Chapters for Business Analytics FREE ONLINE LEARNING 18

19 Like What You Heard? James will be presenting at BAC 2015! Breakout Session (60 mins) Unlocking Big Data: The Power of Cognitive Computing

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21 Coming up next What s Next for Business Analytics in the 21 st Century? Hyoun Park, Jen Stirrup, and Miguel Martinez