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Cognitive Business
Where digital business
meets digital intelligence
August 3, 2016
Ravesh Lala
Vice President,
Watson Sol...
2 The Cognitive Business Narrative / 05.18.2016
The digital
explosion of
content is
impossible for
humans to make
sense ou...
Humans
excel at
DILEMMAS
COMPASSION
DREAMING
ABSTRACTION
IMAGINATION
MORALS
GENERALIZATION
Cognitive Systems
excel atCOMMO...
How are cognitive businesses different?
Are not programmed
but pose hypotheses based
on data patterns and
probability
Can ...
DATA
How to keep up with the
mountains of contextual
data available to you,
even when most of it is
unstructured in format...
A cognitive business has systems that can
enhance digital intelligence exponentially.
REASON
They can reason, grasp
underl...
Structured and active Unstructured and dark
Data that’s coming
• Customer records
• Transactional systems
• Predictive mod...
8/23/2016
Key elements to defining a cognitive strategy
1. Establish a vision
• How would work get done in partnership
bet...
9
Identify a
problem
to solve.
Cast a vision.
Champion a
new culture.
Assess progress
towards your
desired outcome.
Measur...
10
Thank you
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Cognitive Business: Where digital business meets digital intelligence

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Ravesh Lala, Vice President, IBM Watson Solutions provided a high level overview of IBM Watson on Monday August 22, 2016 at the Electronics event in NY. Ravesh shared insights into what Watson is, and how organizations have leveraged the power of Watson to advance their place in the market.

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Cognitive Business: Where digital business meets digital intelligence

  1. 1. Cognitive Business Where digital business meets digital intelligence August 3, 2016 Ravesh Lala Vice President, Watson Solutions
  2. 2. 2 The Cognitive Business Narrative / 05.18.2016 The digital explosion of content is impossible for humans to make sense out of it all The digital explosion of content makes it impossible for humans to make sense of it all
  3. 3. Humans excel at DILEMMAS COMPASSION DREAMING ABSTRACTION IMAGINATION MORALS GENERALIZATION Cognitive Systems excel atCOMMON SENSE (but with many biases) NATURAL LANGUAGE LOCATING KNOWLEDGE PATTERN IDENTIFICATION MACHINE LEARNING ELIMINATING BIASES PROVIDING ENDLESS CAPACITY Cognitive systems are creating a new partnership between humans and technology
  4. 4. How are cognitive businesses different? Are not programmed but pose hypotheses based on data patterns and probability Can see, use and operationalize virtually all data Can understand, reason, learn and interact with humans naturally 4
  5. 5. DATA How to keep up with the mountains of contextual data available to you, even when most of it is unstructured in format What are some problems that a cognitive business is ideally suited to solve? COMPLEXITY How to overcome and solve for great complexity by giving the skill and knowledge of the informed few to the empowered many VOLATILITY How to stay ahead of the ever-changing expectations customers have for what’s possible, leading your market segment in new ways 5
  6. 6. A cognitive business has systems that can enhance digital intelligence exponentially. REASON They can reason, grasp underlying concepts, form hypotheses, and infer and extract ideas. UNDERSTAND Cognitive systems understand imagery, language and other unstructured data like humans do. LEARN With each data point, interaction and outcome, they develop and sharpen expertise, so they never stop learning. INTERACT With abilities to see, talk and hear, cognitive systems interact with humans in a natural way. 6
  7. 7. Structured and active Unstructured and dark Data that’s coming • Customer records • Transactional systems • Predictive models • Institutional expertise • Operational systems • News • Events • Social media • Weather • Geospatial information • Internet of Things (IoT) • Sensory data • Images • Video Data outside your firewallData you possess ++ Cognitive businesses can access and use all types of data. 7
  8. 8. 8/23/2016 Key elements to defining a cognitive strategy 1. Establish a vision • How would work get done in partnership between humans and smart machines • Are you too focused on how work gets done today 2. Focus on value • What will it take to unlock key value drivers from unstructured data in your organization • How can you blend immediate value from solving comparatively easy problems with big payoffs from hardest challenges 2. Test your data • Do you have data that is clean and machine readable • What weak signals can smart machines detect with your data that you cannot8 Becoming a cognitive business requires a thoughtful strategy. 3. Frame your journey • What is your target portfolio of use cases and how do the use cases evolve as smart machines learn about your data 4. Execute cognitive pilot and scale • How to develop a 30/60/90 day plan for the first uses cases including data selection and system training • How to engage users and drive adoption • How to scale vertically (same use case) and horizontally (new adjacent use cases) • How to leverage cognitive technologies and drive process automation
  9. 9. 9 Identify a problem to solve. Cast a vision. Champion a new culture. Assess progress towards your desired outcome. Measure specific values. Ensure your process is working – iterate as needed.. Assess data requirements from internal and external sources. Collect, ingest, curate, annotate and build out taxonomies and ontologies. Execute a staged roll-out based on a simple starter- prototype Instrument for metrics and KPIs. Prepare people for new ways of collaborating with technology. Adapt processes, content and roles as needed. Periodically update functionality and training with new content based on learnings To summarize 1 Develop your cognitive strategy 6 Measure outcomes 3 Apply cognitive technology 4 Engage your organization 5 Enhance cognitive capabilities based on learning 2 Evaluate and curate data
  10. 10. 10 Thank you

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