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David LavendaInformation Researcher
@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
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Source: ‘The False Promise of the App Economy’ Survey Report, July 2017, n=881
OVER9apps used per day by avg. information worker
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The Technology Behind Topic ComputingAI 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.”
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The Science Behind Topic Computing
The brain connects related topics through associative memory, which explains how people learn and remember relationships between unrelated items.”
Topic Computing and Productivity
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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
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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.”
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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.”
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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 AnalystConstellation Research
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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:
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’
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What is happening with the deal?
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 ComputingInformation The
Way Your Brain Works