man versus machine - a story about embracing innovation
TRANSCRIPT
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Toronto, June 6-7 2016
Man versus Machinea story about embracing innovation
Francie Tanner & Femke Goedhart
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About us….
Francie Tanner – Director• Over 18 years experience solving complex collaboration challenges for
enterprises with software and knowledge transfer
• From Switzerland, via the Caribbean, now living in the US
• Business development, consulting, empowering people
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About us….
Femke Goedhart – Business Consultant• Driven to drive social business & empowering people
• Focused on ECM, Social Business, Process Management & Business
development
• Vision -> Strategy -> feet in the mud kind of person
• Consulting & business development
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Toronto, June 6-7 2016
This Session is all about….
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https://en.wikipedia.org/wiki/You_(Time_Person_of_the_Year)
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How much can we handle?!?
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INFORMATION OVERLOAD
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Toronto, June 6-7 2016
…Which is why this session is all about - technology!
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• Technology is capable of dealing with massive amounts of data
humans cannot cope with, solving increasingly complex problems
• More and more devices are getting smarter and connected
We Live in Amazing Times
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Technology Makes Our Life Easier
• Our phones can get a restaurant recommendation and reservation in a city I’ve never been to
• Virtual meetings are saving thousands of dollars and hours on travel• Social sites have changed the way families stay in touch, how people date• Our doorbells ring on our phones, which in turn unlock our doors
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• The rate of technology change is not slowing down and change cycles are getting shorter and shorter
• With smart phones and BYOD policies, people no longer wait for IT to launch enterprise projects when they have access to “rogue” apps
• Integration of collaboration technology will continue to get more complex
• Companies who don’t manage to affect agile transformation and hence adoption will struggle or fail
The Future of Business IT
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Smart Solutions to Make Life easier
• Detect
• Suggest
• Enforce
• No need to teachwhen you can automate
Samsung Family hub
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Toronto, June 6-7 2016
Man vs Machine
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Age of Data
Age of Context
Age of Knowledge
Age of analytics(Big Data)
Internet of Things
Cognitive computing
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How we historically have tried to make sense of our brain through our
concepts and understanding of technology
• 0BC creation: infusion of a ‘divine spirit’
• 300’s discovery of hydraulics: ‘Humors’ (Greeks)
• 1500’s automata : complex machine – thoughts as results of mechanical
motions (Descartes/Hobbes)
• 1700’s Electricity & Chemistry : Electric & chemical impulses
• Mid 1800’s Brain as a telegraph (Hermann von Helmholtz)
“The Empty Brain, Robert Epstein - https://aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer
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But is that really valid?
Software?
Hardware? Thought
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It’s not just the information that is getting more complex….
• More tools
• More features
• More devices
• More channels (more interconnectedness
between tools, features and devices)
But also….
• More concepts
• More visions
• More strategies
• MORE THINGS TO COPE WITH
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OVERLOAD
From information overload to...
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Toronto, June 6-7 2016
What does this mean to me?
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Why Adaptation Matters
• Do you remember Kodak,
Blockbuster, Motorola, Yahoo, Yellow
Cab….?
• Pop Quiz: Do you know who invented the
digital camera?
• What happened to displace them as
leaders in their field?
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Adoption = The art of getting people to accept change…
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Rate of adoption of new technology is increasing
http://www.asymco.com/
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Adoption cycle
• Announce
• Show
Awareness
• Build use cases
• scenarios
Interest• Review
• Test
Consideration
• Instructions
• Training
• Support
Use• Tackle
bottlenecks
• Improve
• Expand
Retention
• Broadcast successes
• Foster advocacy
Champion
Value Discovery Value Delivery
Value Definition Value Realization
Value Validation
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Adoption
• Announce
• Show
Awareness
• Build use cases
• scenarios
Interest• Review
• Test
Consideration
• Instructions
• Training
• Support
Use• Tackle
bottlenecks
• Improve
• Expand
Retention
• Broadcast successes
• Foster advocacy
Champion
Value Discovery Value Delivery
Value Definition Value Realization
Value Validation
CREATING VALUE
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How Can Machines Help Us Evolve?
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To know how to get there, you have to know where you are at first….
• Who is using existing systems or apps? Where do they live?
• How and from where are they used? Mobile? Tablet? Workstation?
• How much traffic is generated?
Consumed? By whom?
• Who regularly shares content?
Who generates content?
• Which social clusters exist?
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Technology to the Rescue
• IBM ESS infrastructure
• IBM Connections, Domino servers, Traveler, Sametime etc.
• Application access logs and/or data within application
• Corporate data
• HR information to match “who” to IT user ID’s
• Geographical data to understand where people actually are
• Local workstation & server data if looking at file usage/duplication
• Collaboration patterns
• Visualization of any of the above
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Calculating the Return of an Adoption Project
• 30 % reduction in mail volume if you can identify the people emailing multiple
attachments to a group of
people AND provide an IBM
Connections Community
• Analytics tell you where to
focus for the biggest return
• Storage, mail volume, etc
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And then there is social….
Intention meet Reality
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People are all different and one size doesn’t fit all
• Different target groups
• Geography
• Age
• Education
• Culture
• Department
• Acceptance of change ??
Diffusion of innovation (rogers curve)
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Toronto, June 6-7 2016
Implementing the best of both worlds
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Example 1: Provide a starting point
• Change is scary, a blank canvas is intimidating
• Analytics can identify suitable content to migrate
• And also identify naming convention
guidelines for communities etc
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Example 1: Provide a starting point
• But don’t just take old stuff, be selective and critical
• Don’t over-structure either
• Constantly adept to the changing environment that you create with the
innovation
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Example 2: Finding Information Brokers or natural networks
• Based on current email/file sharing/application, who needs to be in an IBM
Connections Community? -> Auto create communities
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Example 2: Finding Information Brokers or natural networks
• Which information platforms do you look at?
• Are all digital?
Lead or Force?
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Example 3: How do we know we’ve succeeded
• Measure before, during and after a deployment project to quantify transformation
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Example 3: How do we know we’ve succeeded
• Don’t take things at face value – don’t simplify
• Interpret
• Cross verify
• Validate
TALK TO YOUR USERS
“Is the decrease in mail traffic due to people using the social platform more or
simply because you limited their max attachment size and they have started
using WeTransfer?”
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Summary:
• Successes from the past are no guarantee for future success…. But they do give a you a good starting point, so use them
• Automate/incorporate what you know was successful and has become mainstream so you can focus creative resources on new areas
• Don’t be afraid to use technology wherever it can help users make faster and better informed decisions
• One size does NOT fit all, adapt, be agile
• Don’t rest after you’ve done a successful adoption….adoption is a strategy, not a project
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Questions? How Can we Help?
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