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8:00 AM Opening Keynote: Putting IBM Watson to Work Manoj Saxena   General Manager Watson Solutions IBM Software Group Mr. Saxena will discuss how IBM is scaling the Watson computer system for business solutions.  Find out how Watson ’s ability to quickly and accurately understand natural language will impact industries such as healthcare, finance, and many others.
Putting IBM Watson to Work Manoj Saxena General Manager, IBM Watson Solutions
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],On February 14, 2011, IBM Watson changed history introducing a system that rivaled a human ’s ability to answer questions posed in natural language with speed, accuracy and confidence. Click graph when in display mode to play 30 sec intro video
IBM Watson a look behind the scenes 2880 Processing Cores 16 Terabytes Memory (RAM) – 20TB Disk System Specifications 90 IBM P750 Servers 80 Teraflops Computing Power = 200m books in 3 sec Workload Optimized  Systems In the past 5 years IBM has spent  over $14B in acquisitions  and  $6B in R&D annually Big Data  Content  Analytics IBM Technology Depth Business Analytics Databases / Data Warehouses
Agenda What is IBM Watson and why is it important? How is IBM putting Watson to work? What can we expect in the future?
+ + An opportunity to  think and act in new ways— economically, socially and technically. The World is Getting Smarter Intelligent Instrumented Interconnected =
In 2005 there were 1.3 billion RFID tags in circulation… …  by 2010 there will be 33 billion. An estimated 2 billion people will be on the Web by 2011 ...  …  and a trillion connected objects – cars, appliances, cameras, roadways, pipelines  Unstructured data is proliferating. . .  …  249 B e-mails (2.8M/sec) and 200M Tweets daily …  220+ B pieces of user generated content on web
Businesses on a Smarter Planet are  “dying of thirst in an ocean of data” 1 in 2 Business leaders don ’t have access to data they need 83% of CIO ’s cited BI and analytics as part of their visionary plan 5.4X more likely that top per formers use Business analytics ,[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Today ’s business challenges are causing organizations to rethink what it will take to  get ahead  tomorrow
[object Object],[object Object],“ Medicine has become too complex (and only) about 20 percent of the knowledge clinicians use today is evidence-based.” Steven Shapiro, Chief Medical and Scientific Officer,  UPMC Healthcare Industry is beset with some of the most  complex information challenges  we collectively face
Why is it so  hard for computers  to understand humans Where was Einstein born? Source: Excel File, Database, etc. Source:  Jack Welch and the GE Way,  Robert Slater Source: Excel File, Database, etc. Source: http://www.schaeffenacker-ulm.de/en/otto.html Structured Data Unstructured Data Welch ran this? “ One day, from among his city views of Ulm, Otto chose a water color to send to Albert Einstein as a remembrance of Einstein´s birthplace” “ If leadership is an art then surely Jack Welch has proved himself a master painter during his tenure at GE” Source: IBM Research Physicist Birth Place A. Einstein Ulm N. Bohr Copenhagen M. Curie Warsaw Person Organization L. Gerstner IBM J. Welch GE W. Gates Microsoft
What if an enterprise had  all the answers  it needs to succeed? Can we design a computing system that rivals a human ’s ability  to retrieve, analyze and interpret vast amounts of information?
A Brief History of IBM Watson IBM Research Project (2006 --) Jeopardy! Grand Challenge (Feb 2011) Watson  for Healthcare (Aug 2011 --) Watson Industry Solutions (2012 --) R&D Demonstration Commercialization Cross-industry  Scale up New class of  industry specific business analytics
IBM Watson brings together a set of transformational technologies to drive  optimized outcomes … built on a massively parallel probabilistic evidence-based architecture Understands natural language  and human  speech Adapts and Learns  from user selections and responses Generates and evaluates hypothesis  for better outcomes Renal Failure UTI Diabetes
IBM Smarter Healthcare Capture accurate, real-time information from devices & systems  Enable seamless information sharing across groups Use advanced analytics to improve research, diagnosis and treatment  A smarter health system improves visibility and collaboration across all health system participants making best use of resources to prevent and treat diseases, reduce overall healthcare costs, and keep people healthy. Intelligent Instrumented Interconnected + + Click turquoise background when in display mode to play 30 sec TV Healthcare spot
Understands  natural language questions Analyzes large volumes  of unstructured data Generates and evaluates hypothesis Presents responses with confidence Supports iterative dialogue to refine results  Learns from results over time       What condition has red eye, pain, inflammation, blurred vision, floating spots and sensitivity to light? Physician Notes, Medical Journals, Clinical Trials, Pathology Results, Blogs, Wikipedia Possible Diagnosis  Confidence Uveitis    91% Iritis    48% Keratitis    29% Family History, Patient Interview, Physical Exam, Current Medications What actions were taken? What treatments were prescribed?  What was the outcome? Why is Watson Technology ideal for Healthcare? 
IBM and WellPoint are working together to  put Watson to work  in healthcare "Imagine having the ability within three seconds to look through all of that (medical) information….at the moment you're caring for that patient."  Dr. Sam Nussbaum, WellPoint's Chief Medical Officer, WellPoint WellPoint  Serving 1 in 9 insured Americans + IBM Watson IBM Watson = Leverage medical records TO diagnose and identify treatment options  TO enhance the quality of medical care delivered
Putting the pieces together at  point of impact  can be life changing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Most Confident Diagnosis :  Esophagitis Most Confident Diagnosis:  Diabetes Symptoms UTI Diabetes Influenza hypokalemia Renal failure (Thyroid Autoimmune) Esophagitis Diagnosis Models Symptoms Fam. History Pat. History Medications Findings Confidence Most Confident Diagnosis:  Influenza difficulty swallowing Most Confident Diagnosis:  UTI Family History Patient History Medications A  58-year-old woman presented to her primary care physician after several days of  dizziness ,  anorexia ,  dry mouth ,  increased thirst , and  frequent urination . She had also had a  fever  and reported that  food would “get stuck” when she was swallowing . She reported no  pain  in her abdomen, back, or flank and no  cough ,  shortness of breath ,  diarrhea , or  dysuria .  Her family history included  oral  and  bladder cancer  in her mother,  Graves' disease  in two sisters,  hemochromatosis  in one sister, and idiopathic thrombocytopenic  purpura  in one sister.  Her history was notable  for cutaneous lupus ,  hyperlipidemia ,  osteoporosis ,  frequent urinary tract infections , three uncomplicated cesarean sections, a left oophorectomy for a benign cyst, and primary  hypothyroidism , which had been diagnosed a year earlier. Her medications were  levothyroxine ,  hydroxychloroquine ,  pravastatin , and  alendronate .  A  urine dipstick was positive for leukocyte esterase and nitrites . The patient was given a prescription for ciprofloxacin for a urinary tract infection and was advised to drink plenty of fluids. On a follow-up visit with her physician 3 days later, her fever had resolved, but she reported continued weakness and dizziness despite drinking a lot of fluids. Her  supine blood pressure was 120/80 mm Hg , and  her pulse was 88 beats per minute ; on standing, her  systolic blood pressure was 84 mm Hg , and her  pulse was 92 beats per minute . A urine specimen obtained at her initial presentation had been cultured and  grew more than 100,000 colonies of  Escherichia  coli ,  which is sensitive to ciprofloxacin.  Findings Click large blue bar to play 3;21 sec Herb Chase video / demo no  abdominal pain no   back pain no  cough no   diarrhea pravastatin Alendronate levothyroxine hydroxychloroquine frequent UTI cutaneous lupus hyperlipidemia osteoporosis hypothyroidism dizziness anorexia fever  dry mouth thirst frequent urination Graves ’  Disease Oral cancer Bladder cancer Hemochromatosis Purpura supine 120/80 mm HG urine dipstick:  leukocyte esterase urine culture: E. Coli heart rate: 88 bpm
From battling humans at Jeopardy! to  transforming business Tech Support Financial Services Investment and retirement planning, institutional  trading and decision support.  Contact center support and services. Enterprise knowledge management. Consumer marketing. Public Safety, Improved Information Sharing, Security, Fraud and Abuse Prevention IBM Watson has the capabilities to address business and societal challenges IBM Watson Healthcare Diagnostic/Treatment Assistance, Evidenced-Based Insights, Collaborative Medicine Government
[object Object],[object Object],www.ibmwatson.com.  www.facebook.com/ibmwatson . www.twitter.com/ibmwatson   (Tweet #ibmwatson ) www.youtube.com/ibm Learn more at:
 

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Manoj Saxena, GM IBM Watson -- Keynote at Innotech 2011

  • 1. 8:00 AM Opening Keynote: Putting IBM Watson to Work Manoj Saxena General Manager Watson Solutions IBM Software Group Mr. Saxena will discuss how IBM is scaling the Watson computer system for business solutions. Find out how Watson ’s ability to quickly and accurately understand natural language will impact industries such as healthcare, finance, and many others.
  • 2. Putting IBM Watson to Work Manoj Saxena General Manager, IBM Watson Solutions
  • 3.
  • 4. IBM Watson a look behind the scenes 2880 Processing Cores 16 Terabytes Memory (RAM) – 20TB Disk System Specifications 90 IBM P750 Servers 80 Teraflops Computing Power = 200m books in 3 sec Workload Optimized Systems In the past 5 years IBM has spent over $14B in acquisitions and $6B in R&D annually Big Data Content Analytics IBM Technology Depth Business Analytics Databases / Data Warehouses
  • 5. Agenda What is IBM Watson and why is it important? How is IBM putting Watson to work? What can we expect in the future?
  • 6. + + An opportunity to think and act in new ways— economically, socially and technically. The World is Getting Smarter Intelligent Instrumented Interconnected =
  • 7. In 2005 there were 1.3 billion RFID tags in circulation… … by 2010 there will be 33 billion. An estimated 2 billion people will be on the Web by 2011 ... … and a trillion connected objects – cars, appliances, cameras, roadways, pipelines Unstructured data is proliferating. . . … 249 B e-mails (2.8M/sec) and 200M Tweets daily … 220+ B pieces of user generated content on web
  • 8.
  • 9.
  • 10.
  • 11. Why is it so hard for computers to understand humans Where was Einstein born? Source: Excel File, Database, etc. Source: Jack Welch and the GE Way, Robert Slater Source: Excel File, Database, etc. Source: http://www.schaeffenacker-ulm.de/en/otto.html Structured Data Unstructured Data Welch ran this? “ One day, from among his city views of Ulm, Otto chose a water color to send to Albert Einstein as a remembrance of Einstein´s birthplace” “ If leadership is an art then surely Jack Welch has proved himself a master painter during his tenure at GE” Source: IBM Research Physicist Birth Place A. Einstein Ulm N. Bohr Copenhagen M. Curie Warsaw Person Organization L. Gerstner IBM J. Welch GE W. Gates Microsoft
  • 12. What if an enterprise had all the answers it needs to succeed? Can we design a computing system that rivals a human ’s ability to retrieve, analyze and interpret vast amounts of information?
  • 13. A Brief History of IBM Watson IBM Research Project (2006 --) Jeopardy! Grand Challenge (Feb 2011) Watson for Healthcare (Aug 2011 --) Watson Industry Solutions (2012 --) R&D Demonstration Commercialization Cross-industry Scale up New class of industry specific business analytics
  • 14. IBM Watson brings together a set of transformational technologies to drive optimized outcomes … built on a massively parallel probabilistic evidence-based architecture Understands natural language and human speech Adapts and Learns from user selections and responses Generates and evaluates hypothesis for better outcomes Renal Failure UTI Diabetes
  • 15. IBM Smarter Healthcare Capture accurate, real-time information from devices & systems Enable seamless information sharing across groups Use advanced analytics to improve research, diagnosis and treatment A smarter health system improves visibility and collaboration across all health system participants making best use of resources to prevent and treat diseases, reduce overall healthcare costs, and keep people healthy. Intelligent Instrumented Interconnected + + Click turquoise background when in display mode to play 30 sec TV Healthcare spot
  • 16. Understands natural language questions Analyzes large volumes of unstructured data Generates and evaluates hypothesis Presents responses with confidence Supports iterative dialogue to refine results Learns from results over time      What condition has red eye, pain, inflammation, blurred vision, floating spots and sensitivity to light? Physician Notes, Medical Journals, Clinical Trials, Pathology Results, Blogs, Wikipedia Possible Diagnosis Confidence Uveitis 91% Iritis 48% Keratitis 29% Family History, Patient Interview, Physical Exam, Current Medications What actions were taken? What treatments were prescribed? What was the outcome? Why is Watson Technology ideal for Healthcare? 
  • 17. IBM and WellPoint are working together to put Watson to work in healthcare "Imagine having the ability within three seconds to look through all of that (medical) information….at the moment you're caring for that patient." Dr. Sam Nussbaum, WellPoint's Chief Medical Officer, WellPoint WellPoint Serving 1 in 9 insured Americans + IBM Watson IBM Watson = Leverage medical records TO diagnose and identify treatment options TO enhance the quality of medical care delivered
  • 18.
  • 19. From battling humans at Jeopardy! to transforming business Tech Support Financial Services Investment and retirement planning, institutional trading and decision support. Contact center support and services. Enterprise knowledge management. Consumer marketing. Public Safety, Improved Information Sharing, Security, Fraud and Abuse Prevention IBM Watson has the capabilities to address business and societal challenges IBM Watson Healthcare Diagnostic/Treatment Assistance, Evidenced-Based Insights, Collaborative Medicine Government
  • 20.
  • 21.  

Notes de l'éditeur

  1. Key Message: Speaking Points: Additional Background Information:
  2. As the world becomes instrumented, interconnected and intelligent, we have the opportunity to think and act in new ways—economically, socially and technically.
  3. Computer programs are natively explicit and exacting in their calculations over numbers and symbols. But Natural Language - -the words and phrases we humans use to communicate with one another -- is implicit -- the exact meaning is not completely and exactly indicated -- but instead is highly dependent on the context -- what has been said before, the topic, how it is being discussed -- factually, figuratively, fictionally etc. Moreover, natural language is often imprecise – it does not have to treat a subject with numerical precision…humans naturally interact and operate all the time with different degrees of uncertainty and fuzzy associations between words and concepts. We use huge amounts of background knowledge to reconcile and interpret what we read. Consider these examples….it is one thing to build a database table to exactly answer the question “ Where is someone born?”. The computer looks up the name in one column and is programmed to know that the other column contains the birth place. STRUCUTRED information, like this database table, is designed for computers to make simple comparisons and to be exactly as accurate as the data entered into the database. Natural language is created and used by humans for humans. A reason we call natural language “ Unstructured ” is because it lacks the exact structure and meaning that computer programs typically use to answer questions. Understanding what is being represented is a whole other challenge for computer programs . Consider this sentence <read> It implies that Albert Einstein was born in Ulm – but there is a whole lot the computer has to do to figure that out any degree of certainty - it has to understand sentence structure, parts of speech, the possible meaning of words and phrases and how they related to the words and phrases in the question. What does a remembrance , a water color and an Otto have to do with where someone was born. Consider another question in the Jeopardy Style … X ran this? And this potentially answer-bearing sentence. Read the Sentence… Does this sentence answer the question for Jack Welch - -what does “ ran ” have to do with leadership or painting . How would a computer confidently infer from this sentence that Jack Welch ran GE – might be easer to deduce that he was at least a painter there.
  4. Fred
  5. Improve Operational Effectiveness – Payer Sales Customer Service Provider Service & Payments Service Model Transformation