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Topic Computing - Information Presented The Way You Think

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Information workers use over 9 apps/day, and have more than half of them open at any one time. This work experience makes it difficult for them to focus on what's important and to see the big picture. New developments in artificial intelligence, specifically natural language processing and machine learning, offer a new way to interact with the apps we already have - by topics. Cognitive science teaches us that our brains think in terms of associated topics, so it just makes sense that our interaction with technology should be in terms of topics, such as customer, product, or service, rather than by apps such as Outlook, Word, Salesforce, and Zendesk. This presentation describes the promise of Topic Computing

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Topic Computing - Information Presented The Way You Think

  1. 1. David Lavenda Information Researcher
  2. 2. 2 David Lavenda Information Researcher davidl@harmon.ie @dlavenda http://www.linkedin.com/in/dlavenda www.slideshare.net/dlavenda http://www.cmswire.com/author/david-lavenda/ http://www.fastcompany.com/user/david-lavenda https://www.researchgate.net/profile/David_Lavenda
  3. 3. 3 Source: ‘The False Promise of the App Economy’ Survey Report, July 2017, n=881 OVER 9apps used per day by avg. information worker
  4. 4. 4 The Technology Behind Topic Computing AI can help solve the problem of information overload Smartphones, the cloud, cheap computer memory, and high-speed data networks... Coupled with natural language processing and machine learning, technology is no longer the bottleneck to presenting the ultimate user experience.”
  5. 5. 5 The Science Behind Topic Computing The brain connects related topics through associative memory, which explains how people learn and remember relationships between unrelated items.”
  6. 6. Topic Computing and Productivity 6 Annual cost to the economy due to information overload 25% of information workers waste their time dealing with huge and growing data streams. Source: Information Overload Research Group
  7. 7. 7 Information Overload Contributes to Poor Productivity Workers are too busy sifting through information to focus on the most important aspects of their jobs; those that require deep thought and concentration.”
  8. 8. 8 The secret of topic computing is in its use of AI, like natural language processing and machine learning, to aggregate information together in a meaningful way, the way the brain works. For the first time, people see the big picture. The result is improved employee productivity.”
  9. 9. 9 The Topic Computing Market Source: https://harmon.ie/blog/harmonie-debuts-collage The more tools in use, the more complex it becomes to focus on the actual work, because related information spans across multiple clouds… Tools that aggregate multiple sources into a single location make it easier for employees to create, discover and take action on the things people require to get their jobs done. Alan Lepofsky, VP and Principal Analyst Constellation Research
  10. 10. 10 A Day in the Life… What is happening with my key account? Ron Howard Account Manager
  11. 11. 11 A Day in the Life… Client questions, tasks, information exchange Account status, contacts, customer interactions Trouble tickets, status of service calls, contacts O365/SharePoint – Project plans, contracts, RFPs project status, tasks, contacts Ron’s sources of information:
  12. 12. Today’s App-Centric User Experience • One app for each service • Activities span multiple apps • Hard to ‘focus on what matters most’ • Workers ‘drop the ball’ 12 What is happening with the deal?
  13. 13. 2. Notifications from all information sources aggregated into a single unified information stream 1. Key topics identified in email messages 3. Information related to email topics displayed in order of importance Topic Computing Information The Way Your Brain Works
  14. 14. Thank you

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