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Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
A Roadmap for Deploying Modern AI in Business

Adrian Bowle...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
A Roadmap for Deploying Modern AI in Business

Context - Ho...
Context - How Did We Get Here? 

(and where are we anyway?)
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Context - How Did We Get Here? (and where are we anyway?)
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
A...
A Quick Guide to AI Progress/Maturity
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
AI Roots
AGI - Artific...
A Quick Guide to AI Progress/Maturity - Key Disruptors
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Auto...
Machine Learning
Human
Sensors/

Systems
Infrastructure
Input Output
Visualization
Narrative Generation
Voice/NLP
Video/Im...
0. Foundation
Experience-
Based
Learning
1. Learn
2. Interact
3. Expand
Integrate
Augmented/Virtual
Reality
Confidence-
wei...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Open Source and 

Modern AI…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Apache Spark
Spark MLlib (distributed ML framework)
GraphX ...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
In the news…
Are You Ready for Modern AI?
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
The goal is to assess the fit b...
Evaluating Application Requirements
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
As with all new technol...
Evaluating Application Requirements
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Look at the data, NLP r...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
Is a specific modern AI capability required, or can conventi...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
How important is it for your customers/users to be able to ...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
How important (and feasible) is the ability to provide the ...
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
How important is it for this application to improve its per...
Evaluating Organizational Attributes
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
The goal is to assess ...
Evaluating Organizational Attributes
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
For each of the modern...
For more information:
Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
adrian@storminsights.com
Twitter @ajb...
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Smart Data Webinar: A Roadmap for Deploying Modern AI in Business

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Veröffentlicht am

Adopting elements of modern AI and cognitive computing - including advanced natural language processing, natural interface technologies such as gesture and emotion-recognition, and machine learning - is rapidly becoming a necessity for new applications. As people in all industries are exposed to better, more personalized and responsive experiences with software, they will begin to demand more from every system they use. For product strategists and developers, the issue is not whether to consider modern AI, the issue is how to do so most effectively.

Webinar participants will learn:
•How to classify and map application attributes to AI technologies and tools; including data attributes, end-user attributes, and context attributes such as weather and location
•How to prioritize applications in an existing portfolio for AI-enhancements, and
•How to assess organizational readiness for leveraging AI

Veröffentlicht in: Technologie

Smart Data Webinar: A Roadmap for Deploying Modern AI in Business

  1. 1. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. A Roadmap for Deploying Modern AI in Business
 Adrian Bowles, PhD Founder, STORM Insights, Inc. info@storminsights.com
  2. 2. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. A Roadmap for Deploying Modern AI in Business Context - How Did We Get Here? 
 (and where are we anyway?) Elements of Modern AI Are You Ready? Evaluating Application Requirements Evaluating Organizational Attributes
  3. 3. Context - How Did We Get Here? 
 (and where are we anyway?) Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  4. 4. Context - How Did We Get Here? (and where are we anyway?) Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. AI Roots AGI - Artificial General Intelligence Focus on replicating intelligence by copying
 brain functions Natural Language Processing (NLP) Learning and discovery Heuristics, expert rules… Logic - symbolic logic and 
 mechanical theorem proving Strategy: Replace Execution: Open concepts Constraint: Processing Modern AI Focus on augmenting intelligence by 
 evidence-based interaction Natural Language Processing (NLP) Learning and discovery Distributed ML driven by big data Deep QA techniques Strategy: Reinforce Execution: Open code and data Constraint: Data
  5. 5. A Quick Guide to AI Progress/Maturity Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. AI Roots AGI - Artificial General Intelligence Sloooooow…still crawling Focus on replicating intelligence by copying
 brain functions Still trying to understand nature Natural Language Processing (NLP) Great results, practical apps Learning and discovery Solid results using supervised Heuristics, expert rules… and unsupervised ML algorithms Logic - symbolic logic and Well understood
 mechanical theorem proving Strategy: Replace Execution: Open concepts Constraint: Processing
  6. 6. A Quick Guide to AI Progress/Maturity - Key Disruptors Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Autonomous systems (based on ML) Self-driving cars Drones Augmented Intelligence systems Medical diagnostics Complex systems maintenance and materials planning Agents for personal productivity Apple Siri Microsoft Cortana Google Now Time Maturity
  7. 7. Machine Learning Human Sensors/ Systems Infrastructure Input Output Visualization Narrative Generation Voice/NLP Video/Images Reports Gestures Emotions Text/NLP Surface Structured Data Surface Structured Data Reports Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Data Management Alt/Neuromorphic Hardware Professional Services Perception Elements of Modern AI
  8. 8. 0. Foundation Experience- Based Learning 1. Learn 2. Interact 3. Expand Integrate Augmented/Virtual Reality Confidence- weighted Reporting Motivation reflection inference Natural Cognitive Processes deduction Hypothesis Generation &Testing reasoning Natural Language Processing Cloud … Analytics Data Management Neuromorphic Architectures Learning Perception A Framework for Cognitive Computing Copyright (c) 2015-2016 by STORM Insights Inc. All Rights reserved.
  9. 9. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  10. 10. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  11. 11. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  12. 12. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  13. 13. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Open Source and Modern AI…
  14. 14. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Apache Spark Spark MLlib (distributed ML framework) GraphX (distributed graph processing framework) Commercialized by Databricks, … Open Source and Modern AI…
  15. 15. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved.
  16. 16. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  17. 17. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  18. 18. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  19. 19. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  20. 20. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. In the news…
  21. 21. Are You Ready for Modern AI? Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. The goal is to assess the fit between application requirements and available modern AI tools/technology. Evaluating Application Requirements Evaluating Organizational Attributes The goal is to assess organizational-readiness to effectively leverage available modern AI tools/technology. Tools Technology Talent
  22. 22. Evaluating Application Requirements Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. As with all new technology, adding an AI-based application to your portfolio requires at least a preliminary a risk-assessment exercise. Is the application: Critical to the enterprise? Time sensitive? All or nothing? (can we define incremental releases to mitigate risk?) Visible? (success AND failure)
  23. 23. Evaluating Application Requirements Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Look at the data, NLP requirements, learning requirements and user-comfort with ND* responses. For each of the key questions in this section, answer Critical (not worth building the app without this feature/function) Nice to have (this would be a differentiator, but we can do without…for now) Won’t be missed or noticed by our users Unsure *ND -non-deterministic - responses, used to contrast probability-based answers with those based on certainty.
  24. 24. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. Is a specific modern AI capability required, or can conventional tools and techniques adequately address your data acquisition, management and analysis requirements? Evaluating Application Requirements Look at the data, NLP requirements, learning requirements and user-comfort with ND* responses. What percentage of the data required for this application comes from Highly structured data (records from tables, formatted directories, databases...) Internal (data that is owned or licensed, such as customer data or mailing lists) Third-party data that needs to be procured Unsure Text (books, magazines, newspapers, social media feeds...) Your internal data (data that is owned or licensed) Third party data that needs to be procured Unsure Audio, video Your internal data (data that is owned or licensed) Third party data that needs to be procured Unsure Critical Nice to have Won’t be missed Unsure
  25. 25. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. How important is it for your customers/users to be able to interact with this application in NL? Will multi-language support be required now or in the future? What level of language sophistication is expected from the users, and what level is required from the application? Are the NL requirements critical for Input only? Output only? Conversation to refine an interactive session? Evaluating Application Requirements Look at the data, NLP requirements, learning requirements and user-comfort with ND* responses. Critical Nice to have Won’t be missed Unsure
  26. 26. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. How important (and feasible) is the ability to provide the “right answer” rather than several alternatives, ranked by confidence or probability? How important is it for the application to be able to explain how it arrived at its answer(s)? (will the user trust or question the results, how much interaction will be required vs how much will they want). Is the risk of a “bad” answer quantifiable? (from customer satisfaction to medical malpractice to financial loss in a stock recommendation engine) Evaluating Application Requirements Look at the data, NLP requirements, learning requirements and user-comfort with ND* responses. Critical Nice to have Won’t be missed Unsure
  27. 27. Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. How important is it for this application to improve its performance by learning from its own experience rather than being updated by your own team? Evaluating Application Requirements Look at the data, NLP requirements, learning requirements and user-comfort with ND* responses. Can you update it fast enough to be useful (consider the rate of new data and changed data that must be analyzed to be effective)? Is this application in a regulated domain? Do you have data that can be used to train the system? Critical Nice to have Won’t be missed Unsure
  28. 28. Evaluating Organizational Attributes Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. The goal is to assess organizational-readiness to effectively leverage available modern AI tools/technology.
  29. 29. Evaluating Organizational Attributes Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. For each of the modern AI tools/technologies identified as critical in the previous assessment step - e.g. NLP, machine-vision/video analysis, data management including knowledge of ontologies, taxonomies, etc, machine learning techniques (supervised, unsupervised, reinforcement..), determine… Actual skill set requirements (including level with technologies vs tools) Available skills Internally Partners Contractors Market pool Tools Technology Talent Anyone can buy tools, talent is the hard part.
  30. 30. For more information: Copyright (c) 2016 by STORM Insights Inc. All Rights reserved. adrian@storminsights.com Twitter @ajbowles Skype ajbowles Upcoming Webinar Dates & Topics March 10 Machine Learning Adoption Strategies Theme: Cognitive Computing April 14 Getting Started with Streaming Analytics and the IoT
 Theme: Smart Data and the Internet of Things May 12 Emerging Data Management Options: Graph Databases 
 Theme: Smart Data Management

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