Two of my favourite pyramids are the Data Science Hierarchy of Needs and the Minimum Viable Product. Combining them helps us build effective artificial intelligence (AI) proof of concepts in businesses. It also supports building AI competency at the same time as demonstrating Return on Investment (ROI). Monica Rogati introduced the Data Science Hierarchy of Needs in the 2017 Hacker Noon article, The AI Hierarchy of Needs. Rogati uses the pyramid to explain that like in Maslow's Hierarchy of Needs, the essentials are required before you can move towards the ultimate goal.

Robonomics AI aims to democratise Artificial Intelligence (AI) to impact every aspect of the economy. The World Economic Forum predicts Artificial Intelligence will add US$ 16 Trillion to the global economy by 2030. We enable you get there. Robonomics AI enables enterprises enhance customer centricity, revenues, process efficiencies and cyber security by Artificial Intelligence solutions that are purpose-built on our platform. The platform enables gig-workers (AI researchers, IT consultants & University students) build innovative AI-based MVPs (Minimum Viable Products) to solve these problems, at scale.

Penn State students, faculty and staff are invited to compete for $100,000 in funding during the Nittany AI Challenge. The challenge, sponsored by the Penn State EdTech Network, will give participating teams the opportunity to explore artificial intelligence in higher education to improve the student experience at Penn State, solve real-world problems at the University, and generate startup ideas. Brad Zdenek, innovation strategist for the Penn State EdTech Network, said the Nittany AI Challenge gives participants a chance to drive digital innovation and transform education at Penn State. "For faculty and staff, this means addressing everyday challenges -- while trying to provide the best possible experience for our students," Zdenek said. "For both graduate and undergraduate students, the challenge provides opportunities to apply knowledge in practical ways -- while receiving mentorship from individuals in leading edtech and AI companies. The ultimate goals are to test ways to improve the student experience at Penn State, instigate new research, spawn new business ideas, and open doors to jobs and internships for students."