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Cognitive Automation - Your AI Coworker

  1. Cognitive Automation Build your Artificial Intelligence CoWorker Tamilselvan Subramanian Program Lead AI @ Wipro Samson Saju Lead AI Expert @ Wipro Date : 15-Dec-2015 Venue : Christ University, Bangalore
  2. Human development & Tools
  3. What is Cognition ? The mental action or process of acquiring knowledge and understanding through • thought • experience • senses What is Automation ? BMW Spartanburg robotic welding line The use or introduction of automatic equipment in a manufacturing or other process or facility.
  4. History of Automation In 1913, Ford Motor Company, which introduced electric motors to the then-well-known technique of chain or sequential production The first NC (Numerical Control) machines were built in the 1940s and 1950s, based on existing tools that were modified with motors that moved the controls to follow points fed into the system on punched tape. These early servomechanisms were rapidly augmented with analog and digital computers, creating the modern CNC machine tools that have revolutionized the machining processes. Amazon’s Kiva is a mobile material handling robot . The larger model can carry pallets and loads as heavy as 1360 Kgs. The mobile bots are battery-powered and need to be recharged every hour for five minutes
  5. Cognitive Automation Automate the entire processes or Workflows using sense and synthesize vast amounts of information also learning and adapting as they go ! Artificial Narrow Intelligence Artificial General Intelligence Artificial Super Intelligence Cognition Specializes in one narrow task like coming up with driving routes or playing chess At least as intellectually capable as a human, across the board way smarter than any human, across the board
  6. Bloom's Taxonomy Cognition Map What are the health benefits of eating apples? Remember Compare the health benefits of eating apples vs. oranges Understand Would apples prevent scurvy, a disease caused by a deficiency in vitamin C? Apply List four ways of serving foods made with apples and explain which ones have the highest health benefits. Provide references to support your statements Analyze Convert an "unhealthy" recipe for apple pie to a "healthy" recipe by replacing your choice of ingredients. Explain the health benefits of using the ingredients you chose vs. the original ones Create Which kinds of apples are best for baking a pie, and why? Evaluate
  7. Why Cognitive Computing Now? Google Brain Google Auto HDFS / GFS Infra Scalability Curated Free Knowledge Geff Hinton - Deep Learning GPU Computing Neuromorphic Engineering
  8. Inspiration FLY THINK Goal Technology Cognitive Automation - Inspiration
  9. Road to Human Brain by Computation Power Source: Ray Kurzweil
  10. Neuromorphic Chip -New Processor Design Source: Ray Kurzweil Microprocessors configured more like brains than traditional chips could soon make computers far more astute about what’s going on around them It is a complement to the conventional Chip design not the replacement ! Intel Six Core i7 contains ~ 1.3 Billion Transistors ( 130 Crores) IBM TrueNorth contains 5.4 Billion Transistors (540 Crores)
  11. Levels of Cognitive Automation the computer offers no assistance: humans must take all decisions and actions. the computer offers a complete set of decision/action alternatives narrows the selection down to a few suggests one alternative executes that suggestion if the human approves allows the human a restricted time to veto before automatic execution executes automatically, then necessarily informs the human informs the human only if asked informs the human only if it, the computer, decides The computer decides everything, acts autonomously, ignoring the human Parasuraman et al Text Box Vs Combo Box vs Auto Suggestion Pick from Cache
  12. What are some of the problems to be solved ? Natural Language Processing Automatic Speech Recognition Visual Recognition Automatic summarization Co-reference resolution Sentiment analysis Semantic Understanding Named Entity Recognition Natural Language Generation Relationship Extraction Part of Speech Tagging Question answering Optical character recognition Image Tagging Image Detection Image Segmentation Image Recognition
  13. All the problems discussed requires Learning. A computer to should able learn from data not by IF-ELSE code. Machine Learning !
  14. No Programming after the installation!
  15. Machine Learning Machine Learning boils down to learning a mapping from an input space to an output space in an automated manner, using available data.
  16. Machine Learning types Supervised learning: The computer is presented with example inputs and their desired outputs, given by a "teacher", and the goal is to learn a general rule that maps inputs to outputs. Unsupervised learning: No labels are given to the learning algorithm, leaving it on its own to find structure in its input. Unsupervised learning can be a goal in itself (discovering hidden patterns in data) or a means towards an end. Reinforcement learning: A computer program interacts with a dynamic environment in which it must perform a certain goal (such as driving a vehicle), without a teacher explicitly telling it whether it has come close to its goal. Another example is learning to play a game by playing against an opponent.
  17. Machine Learning Example Spam filtering Supervised Learning * Handcrafted Feature Training Customer Segmentation Unsupervised Learning * Feature Learning
  18. Deep Learning Deep Learning is about learning multiple levels of representation and abstraction that help to make sense of data such as images, sound, and text. One of the promises of deep learning is replacing handcrafted features with efficient algorithms for unsupervised or semi-supervised feature learning and hierarchical feature extraction Types of Architecture Recurrent neural networks (Mostly used in language modeling ) Convolutional deep neural networks (Mostly used in Vision/ Speech recognition )
  19. Thanks to Deep Learning Gurus..
  20. Cognitive Automation - Types Human Automate Everything Automate As much as Possible Automate Boring and dangerous job Automate Human cannot to that job
  21. Cognitive Automation in IT Companies. • India to remain fastest growing IT market in 2016 and to reach 85.3$ Billion in 2019, says Gartner. • India has around 30 lakhs direct IT employees and 60 lakhs indirect employees today. EmployeeOrganization Job + Unique & No dull Job - Job Threat for less skilled + Less Cost, High productivity - Difficult to lock in multi vendor model, Risk of too much Cruise Control + Quick resolution, Avoid repeating Mistakes - Unintended consequences of Automation
  22. What are we doing? We are developing an Artificial Intelligent Platform, that is the feature of Wipro and feature of any Organization who is looking to Automate the job.
  23. Evolution of our AI Journey Knowledge virtualization, Machine Learning, Neural nets, bots Semantic, Ontology Framework for understanding and giving meaning to data. Natural Language Processing Text mining for topic modelling intelligent clustering and classification. Data Science Algorithm based Predictive Analytics Blended reality Frameworks for experience designs in immersive environments Context and event based architecturesSingle View of Customer Failure Prediction and Service optimization Continuous Integration Conversational interface for enterprise application Cognitive Process Automation Futuristic Customer Onboarding Experience 2010 2014 2012
  24. Categories of AI Application Data Science & Predictive Analytics Extracting information from existing multi-structured data using algorithms in order to discover patterns and predict future outcomes and trends. Intelligent Virtual Agents Consumer oriented to improve usability and experience for performing tasks on mobile devices , capabilities of speech recognition , NL understanding Robotic Process Automation Robotic automation is driven by a set of instructions or logic describing how to process work. These instructions may be user-defined, or machine-learnt Visual Computing & Human Computer Interface Systems or applications that simplify HCI based on Sense & Response, Multi-modal interactions and experience management Knowledge Processing Systems System with curated knowledge using artificial intelligence techniques like Text processing, semantic and knowledge engineering techniques. Autonomous Robots & Drones Robotics includes electro mechanics , computer vision and cognitive capabilities. Industrial robotics and service robotics are 2 broad spaces. Low HighComplexity
  25. In Media PAC Group – Wipro’s key offerings to solve these problems include:  Hyper-automation – with its HOLMES platform Wipro indicates it aims to embed a higher level of automation in traditional business processes – and especially within its BPO transactions – where machine learning algorithms would be a key component of the platform…” by Klaus Holzhauser Everest Group – “Outsourcing advisory firm Everest Group’s CEO Peter Bendor-Samuel believes the effort made by Wipro through Holmes is a recognition of the profound changes sweeping the IT services industry. They have recognised not only the customer impact of implementing automation in their workflow, but also the impact on the service provider, Samuel said in his blog Sherpas in Blue Shirts.” TBRI “While honing its integrated sales and delivery model, Wipro continues to work toward building credibility as a higher- value services provider, earning three expansive digital transformation contracts in the United States and U.K. that suggest favorable client reception toward Wipro’s portfolio (including Holmes cognitive computing) and the company’s ability to deliver on promises of measurable results” – Amy McLaughlin HfS research – “Wipro’s new cognitive platform, built with open source tools, also has features of New York-based IPsoft’s humanoid programme Amelia. All these platforms claim to improve productivity by allowing IT vendors to deploy fewer engineers for repetitive manual tasks.” – Tom Reuner Gartner- Wipro HOLMES was featured in the slides of prominent Gartner Analyst Gilbert Van Der Heiden His key note session topic was – “The Journey to Digital Door” Initiated IDC Tech Spot Light for HOLMES The Outsource Blog Wipro Infosys turn to AI, design thinking in subdued IT Market – Rahul Jain
  26. Recursive Cortical Network (RCN) Watch these space for more Samsung, Wipro Follow Jeff Bezos in Funding AI Startup Vicarious Vicarious aims to replicate the human brain artificially
  27. Demo
  28. Challenges / Risk in Cognitive Automation • General Incremental Learning • Automatic Goal Setting , braking into multiple Goals • Semantic Understanding world Knowledge (Google word vector) • Collaborative decision Making from Unexpected situation (Prof.Vijaykumar from Pittsburgh university) • Absolutely fault tolerance. • Retaining the Human skill for basic Operations • Time to handoff to Human
  29. Failed handoff – Automation Disaster?? …After talking to the Investigation team, The MIT Professor Mindell said that the crash illustrated a "failed handoff," with insufficient warning, from the plane's autopilot to the human pilots. Air France Flight 447 (AF447/AFR447) was a scheduled passenger flight from Rio de Janeiro, Brazil to Paris, France, which crashed on 1 June 2009. The Airbus A330, operated by Air France, entered an aerodynamic stall from which it did not recover and crashed into the Atlantic Ocean at 02:14 UTC, killing all 228 passengers, aircrew and cabin crew aboard the aircraft. Wreckage from Atlantic Ocean
  30. Knock.. Knock! Technological Singularity The technological singularity is a hypothetical event related to the advent of genuine artificial general intelligence. Such a computer, computer network, or robot would theoretically be capable of recursive self-improvement (redesigning itself), or of designing and building computers or robots better than itself on its own. • A robot may not harm a human being, or, through inaction, allow a human being to come to harm. • A robot must obey the orders given to it by human beings except where such orders would conflict with the First Law. • A robot must protect its own existence, as long as such protection does not conflict with the First or Second Laws. Isaac Asimov’s Law of Robotics
  31. Leaders view on AI AI could spell the end of the human race -Stephan Hawking, I am in the camp that is concerned about super intelligence -Bill Gates .. our biggest existential threat is AI - Elon Musk artificial intelligence will doom mankind - Clive Sinclair All these Great visionaries are not against AI, but they warn we should cautious while designing an AI system. They are warning none other than you ! The Goal is Friendly AI !
  32. So What Changed Two days ago? .. our biggest existential threat is AI - Elon Musk Geoff Hinton Research Director OpenAI Founded: December 11, 2015
  33. What does Cognitive Automation mean to you? As a Computer Science students.. • You will be mostly offered to solve the challenging problems, Not a repetitive boring job. • You will be part of Training the Machines and validating results • AI Machine will offer the collective results and ask you to take decision in the workflow. • You will still be able to solve the simple problems in case of machine failure. • You will be keep upgrading your skills that machine cannot do at the moment. • Your role will be very critical than before. • You will still be coding for a while to make a machine that writes a code for you 
  34. Take Rest from 24/7 jobs ! Image Credit
  35. Where would you begin? Read Books / Blogs / Articles / Talk to your Professor Take a Courses on AI / Machine learning / Cognition Science / Deep learning Get your hand dirt with all modern Machine / Deep learning libraries Share the code with other Contributors You trust. Demonstrate to the world ! Work Prepare Inspire
  36. This is the place to build your future ! Most innovative / Cognitive solutions that are helping the human kind today are from the academic institutions like yours ! Every tomorrow has two handles. We can take hold of it with the handle of anxiety or the handle of confidence. What are you holding it now ? Think of a Project that will drive your /our Future. Bring it to us !
  37. Every animal on earth is constrained by its energy budget; the calories obtained from food will stretch only so far. And for most human beings, most of the time, these calories are burned not at the gym, but invisibly, in powering the heart, the digestive system and especially the brain, in the silent work of moving molecules around within and among its 100 billion cells. A human body at rest devotes roughly one-fifth of its energy to the brain, regardless of whether it is thinking anything useful, or even thinking at all. Thus, the unprecedented increase in brain size that hominids embarked on around 1.8 million years ago had to be paid for with added calories either taken in or diverted from some other function in the body Read more: 72989884/#O6gkWrlVl2SISfkk.99 Give the gift of Smithsonian magazine for only $12! Follow us: @SmithsonianMag on Twitter Fire for your thought ! Neuromorphic Computing – Analog Process – Low power utilization
  38. Questions ? Feel free to get in touch Cognitive Automation Discussion Group Email : tamilselvan.subramanian@wi***.com : LinkedIn : Tamilselvan Subramanian