ElementAI Presented to: JF Gagne, CEO of ElementAI
Description: ElementAI Presented to: JF Gagne, CEO of ElementAI Presented by: Jason Cline, Will Richardson, Carly Seneca, Caroline Wright C Carolina Consulting January 7, 2020 Key Question How to bring AI away from the stigma of fear and into the
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slide1. ElementAI Presented to: JF Gagne, CEO of ElementAI
Presented by: Jason Cline, Will Richardson, Carly Seneca, & Caroline Wright C Carolina
Consulting January 7, 2020<br>
slide2. Key Question How to bring AI away from the stigma of fear and into the future as a transformative technology for both consumers and businesses? Reality Check:
There are legitimate reasons people are afraid of technology, such as data privacy (Cambridge Analytica scandal)
Media reports continue drive a negative perception<br>
slide3. Agenda<br>
slide4. Goals & Objectives Definition of Success: Reduced stigma and awareness of AI with increasing partnerships for ElementAI and the industry. KPIs:
Awareness
AI perception
Number of customers and partners<br>
slide5. Current Perception of AI<br>
slide6. Operational Landscape<br>
slide7. Operational Landscape: Competitors<br>
slide8. Analysis of Competitors<br>
slide9. Operational Landscape: Customers<br>
slide10. Customer Description<br>
slide11. Partners<br>
slide12. Operational Landscape: Company<br>
slide13. Internal Perspective How We Lose How We Win Heightened consumer fear of AI
Low adoption of acceptance of AI
Limited internal tools to counteract negative perception
Only playing the long-game Address fears around AI
Develop partnerships with direct and indirect businesses
Create an avenue for sales an marketing development
PhD talent<br>
slide14. Recommended Strategy<br>
slide15. Why might the strategy not work AI winter becomes an ice age (no sales)
Long game goes way too long
Forget our own competitive advantage Extensive and comprehensive marketing
Sales team hiring
Utilize our AI to continually improve sales cycle<br>
slide16. Implementation Overview<br>
slide17. Implementation: Product<br>
slide18. Implementation: Product (1/5) To best sell ElementAI, we need Sales and Marketing Teams Sales (40 total)
(4) Key National Account Managers (KNAM)
(36) Sales professionals<br>
slide19. Implementation: Product (2/5) To best sell ElementAI, we need Sales and Marketing teams Marketing (6 total)
Brand Director
Senior Brand Manager
Brand Managers<br>
slide20. Implementation: Product (3/5) Training<br>
slide21. Implementation: Product (4/5): Mass Customization Strategy Create mass customizable solutions to become the “Dell” of AI
Customers will be able to mix and match parts of a AI solution to tailor to their needs
Different AI capabilities could be incorporated to similar software packages
Algorithm updates based on type of customer and end-use<br>
slide22. Implementation: Product (5/5): Best Practices Establishing a knowledge bank of best practices about AI and sharing this the community will help establish consumer trust and reduce industry stigma and fear.
Partnerships to establish now:
Government
Universities
Schools
Interest groups (through trade shows)
Ethics
Safety
Data protection
Security layers
Rapid expansion without validating fears<br>
slide23. Implementation: Promotion<br>
slide24. Implementation: Promotion<br>
slide25. Implementation: Promotional Campaigns<br>
slide26. Implementation: Product<br>
slide27. Implementation: Placement<br>
slide28. Implementation: Product<br>
slide29. Implementation: Pricing<br>
slide30. Budget<br>
slide31. Timeline<br>
slide32. Risks & Mitigations<br>
slide33. Slide Index Title
Agenda
Key Question
Goals & Objective
Operational Landscape
Operational Landscape: Competitors
Competitive Landscape
Operational Landscape: Customers
Customer Description
Operational Landscape: Company
Internal Perspective
Recommended Strategy
Recommended Strategy
Why It Won’t Work
Implementation Overview
Implementation: Product
Implementation: Place
Implementation: Promotion
Implementation: Price
Financial Assumptions
Budget
Timeline
Risks & Mitigations
Metrics
Alternative #1
Alternative #2
Evaluation of Alternatives
SWOT
Marketing Expansion
Executive Summary<br>
slide34. Alternative #1: AI Academy Limited financial scope
Lacks global focus
Still the long game Smaller scope
Starting local
Access to local talent pool for future hires and educates the influencers of tomorrow on AI PROs CONs Establish an AI training program and work with local schools and universities to get young students exposed to AI and its benefits and educate them about what it is and what it is not.<br>
slide35. Alternative #2: Open Source Loss of intellectual property
Could get in the hands of the wrong type of person (feed the fear) Engage with the community
Get more people involved
Introduce different perspectives to each other PROs CONs Transition Element AI capabilities to be open source to be available to the community to use and improve on as needed.<br>
slide36. Evaluation of Alternatives<br>
Presented by: Jason Cline, Will Richardson, Carly Seneca, & Caroline Wright C Carolina
Consulting January 7, 2020<br>
slide2. Key Question How to bring AI away from the stigma of fear and into the future as a transformative technology for both consumers and businesses? Reality Check:
There are legitimate reasons people are afraid of technology, such as data privacy (Cambridge Analytica scandal)
Media reports continue drive a negative perception<br>
slide3. Agenda<br>
slide4. Goals & Objectives Definition of Success: Reduced stigma and awareness of AI with increasing partnerships for ElementAI and the industry. KPIs:
Awareness
AI perception
Number of customers and partners<br>
slide5. Current Perception of AI<br>
slide6. Operational Landscape<br>
slide7. Operational Landscape: Competitors<br>
slide8. Analysis of Competitors<br>
slide9. Operational Landscape: Customers<br>
slide10. Customer Description<br>
slide11. Partners<br>
slide12. Operational Landscape: Company<br>
slide13. Internal Perspective How We Lose How We Win Heightened consumer fear of AI
Low adoption of acceptance of AI
Limited internal tools to counteract negative perception
Only playing the long-game Address fears around AI
Develop partnerships with direct and indirect businesses
Create an avenue for sales an marketing development
PhD talent<br>
slide14. Recommended Strategy<br>
slide15. Why might the strategy not work AI winter becomes an ice age (no sales)
Long game goes way too long
Forget our own competitive advantage Extensive and comprehensive marketing
Sales team hiring
Utilize our AI to continually improve sales cycle<br>
slide16. Implementation Overview<br>
slide17. Implementation: Product<br>
slide18. Implementation: Product (1/5) To best sell ElementAI, we need Sales and Marketing Teams Sales (40 total)
(4) Key National Account Managers (KNAM)
(36) Sales professionals<br>
slide19. Implementation: Product (2/5) To best sell ElementAI, we need Sales and Marketing teams Marketing (6 total)
Brand Director
Senior Brand Manager
Brand Managers<br>
slide20. Implementation: Product (3/5) Training<br>
slide21. Implementation: Product (4/5): Mass Customization Strategy Create mass customizable solutions to become the “Dell” of AI
Customers will be able to mix and match parts of a AI solution to tailor to their needs
Different AI capabilities could be incorporated to similar software packages
Algorithm updates based on type of customer and end-use<br>
slide22. Implementation: Product (5/5): Best Practices Establishing a knowledge bank of best practices about AI and sharing this the community will help establish consumer trust and reduce industry stigma and fear.
Partnerships to establish now:
Government
Universities
Schools
Interest groups (through trade shows)
Ethics
Safety
Data protection
Security layers
Rapid expansion without validating fears<br>
slide23. Implementation: Promotion<br>
slide24. Implementation: Promotion<br>
slide25. Implementation: Promotional Campaigns<br>
slide26. Implementation: Product<br>
slide27. Implementation: Placement<br>
slide28. Implementation: Product<br>
slide29. Implementation: Pricing<br>
slide30. Budget<br>
slide31. Timeline<br>
slide32. Risks & Mitigations<br>
slide33. Slide Index Title
Agenda
Key Question
Goals & Objective
Operational Landscape
Operational Landscape: Competitors
Competitive Landscape
Operational Landscape: Customers
Customer Description
Operational Landscape: Company
Internal Perspective
Recommended Strategy
Recommended Strategy
Why It Won’t Work
Implementation Overview
Implementation: Product
Implementation: Place
Implementation: Promotion
Implementation: Price
Financial Assumptions
Budget
Timeline
Risks & Mitigations
Metrics
Alternative #1
Alternative #2
Evaluation of Alternatives
SWOT
Marketing Expansion
Executive Summary<br>
slide34. Alternative #1: AI Academy Limited financial scope
Lacks global focus
Still the long game Smaller scope
Starting local
Access to local talent pool for future hires and educates the influencers of tomorrow on AI PROs CONs Establish an AI training program and work with local schools and universities to get young students exposed to AI and its benefits and educate them about what it is and what it is not.<br>
slide35. Alternative #2: Open Source Loss of intellectual property
Could get in the hands of the wrong type of person (feed the fear) Engage with the community
Get more people involved
Introduce different perspectives to each other PROs CONs Transition Element AI capabilities to be open source to be available to the community to use and improve on as needed.<br>
slide36. Evaluation of Alternatives<br>