Main point: Data is growing at an astounding rate. It is growing so fast that we often lack the ability to use it to its full potential. The highly unstructured nature of this data makes the challenge that much more difficult. This is a real problem for business. It makes informed decisions more difficult to make. Business leaders need a way to find hidden patterns and isolate the valuable nuggets that they need to make business decisions. Further speaking points: Yet, the rewards for finding a way to harness the data into useful information are great; 54% of companies in this year ’s study with MIT/Sloan are using analytics for competitive advantage… and that number has surged 57% in just the past 12 months. “Dying of thirst in an ocean of data”… It’s an apt analogy. Data is everywhere. 90% of it didn't exist just two years ago. The vast majority of it is totally useless for any given goal and therefore amounts to noise and a hindrance to finding the key useful information needed in a specific time and place. Additional information : See information and stats
Human performance is one of the things that makes the Jeopardy! Challenge so compelling. The best humans are very, very good at this task. In this chart, each dot corresponds to actual historical Jeopardy! games and represents the performance of the winner of those games. We refer to this cluster of dots as the “ Winners Cloud ” . For each dot, the X-axis, along the bottom of the graph, represents the percentage of questions in a game that the winning player got a chance to ANSWER. These were the questions he or she was confident enough and fast enough to ring-in or buzz in for FIRST . The Y-axis, going up along the left of the graph, represents the winning player ’ s PRECISION – that is, the percentage of those questions answered the player got RIGHT. CO Remember, if a player gets a question wrong then they lose the $ value of the clue and their competitors still get a chance to answer or rebound . But what we humans, tend to do really, really well is – confidently know what we know – computing an accurate confidence turns out to be key ability for winning at Jeopardy! Looking at the center of the green cloud, what you see is that, on average, WINNERS are confident enough and fast enough to answer nearly 50% of the questions in a game and do somewhere between 85% and 95% precision on those questions. That is, they get 85-95% of the ones they answer RIGHT. The red dots represents Ken Jennings's performance. Ken won 74 consecutive games against qualified players. He was confident and fast enough to acquire 60% and even up to 80% of a game ’ s questions from his competitors and still do 85% and 95% precision on average. Good Jeopardy! players are remarkable in their breadth , precision , confidence and speed .
Massive – all possible peaces of evidence Algorithms that analysis evidence Compute confidence scores an rank answers and confidence scores Learn models – machine learning
What is bringing about the need for a new era of computing. In large part it is because of the explosion of data. And not just the typical structured data we find in computer databases, but through voice, social media, and sensors throughout the world. Up to 80 percent of this data is projected to be unstructured data by 2015. As you can see, data is just beginning its rapid growth. We’re sill on the blade part of the hockey stick.
Healthcare is a great example of how these challenges come to life. Physicians can not keep up with the explosive growth of medical information which is doubling every five years. Reading journals is the primary way new medical information is delivered yet the vast majority of physicians don ’t spend anywhere near enough time to keep up with it.. Meanwhile, diagnosis, treatments, and preventable deaths leave huge room for improvement. Imagine you ’re in a hospital waiting room with 9 others waiting to seen. Chances are, two of you are going to be misdiagnosed. Now sometimes that is not misdiagnosis but delayed diagnosis because the right questions were not asked and the wrong pathway is chosen. Preventable medical errors kill 44K-98K Americans every year. Imagine what the total would be world wide. There is a gap between today’s IT needs and traditional IT methods. Watson is a new approach to IT which can help address some of the healthcare difficulties described here. We are entering a new era of computing
• A great way to understand how Watson works is through a simulation. In this hypothetical example, we can see how an incoming patient is diagnosed with increasing precision as more information is made available. <click> • A woman describes her symptoms to her healthcare professional. Based on the symptoms alone, Watson considers a number of possible diagnosis and scores probabilities for each based on the evidence <click> • It then considers explicitly absent symptoms and adjusts diagnosis probabilities accordingly <click> • The iterative process continues, taking into account family history, <click> • … the patient's own medical history, <click> • … medications she is currently taking <click> • … and finally, the results of a simple, inexpensive test to decide between two possible diagnosis
Together Memorial Sloan-Kettering Cancer Center and IBM will develop solutions for oncology diagnosis and treatment built on IBM Watson that incorporate the clinical expertise of MSKCC’s cancer experts, patient data, as well as an extensive library of published literature and research on cancer care. This will enable cancer-treating physicians to access relevant cancer care information more quickly in order to personalize diagnosis and treatment plans for their patients. The intent is to make this resource widely available to cancer caregivers so that regardless of where patients live or physicians practice, they can have access to a comprehensive source of information to help them improve patient care. The work that IBM and Memorial Sloan-Kettering Kettering Cancer Center are doing together is related to existing cancer treatment information. This project is not focused on cancer research or finding a cure for cancer.
Main point: Join the conversation and take the next step. Further speaking points: . Get involved and learn more about ways that Watson can help your business today. Learn more on the web. Join the conversation on twitter and facebook. See how Watson was created and is having a real impact on youtube. And above all, contact your IBM representative to your priorities and goals and how Watson can help play a part in meeting them.