ElementAI Presented to: JF Gagne, CEO of ElementAI

Transcript:ElementAI Presented to: JF Gagne, CEO of ElementAI:
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 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 Agenda 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 Current Perception of AI Operational Landscape Operational Landscape: Competitors Analysis of Competitors Operational Landscape: Customers Customer Description Partners Operational Landscape: Company 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 Recommended Strategy 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 Implementation Overview Implementation: Product 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 Implementation: Product (2/5) To best sell ElementAI, we need Sales and Marketing teams Marketing (6 total) Brand Director Senior Brand Manager Brand Managers Implementation: Product (3/5) Training 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 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 Implementation: Promotion Implementation: Promotion Implementation: Promotional Campaigns Implementation: Product Implementation: Placement Implementation: Product Implementation: Pricing Budget Timeline Risks &