“Values lead to Value”

Innovation 4.0 is building a Talent Marketplace of Leadership and Innovation – A world where Values lead to Value, a world of Future-Proof Creators, not Consumers, achieving long and successful careers and overcoming automation, outsourcing, and obsolescence.

Watch our Documentary: “#FUTUREPROOF” Our Strategy

A Two-Pillar Approach

The INNOVATION 4.0 Stratgey

INNOVATION 4.0 arms its participants with a curriculum that allows them to practice and strengthen their Leadership and Innovation Talent, their Values, and their Principles. INNOVATION 4.0 has also developed a strategy to provide data-driven tools for matching talent to careers, based on hiring processes that are free from bias.

Pillar #1 – Our Curriculum

Five years from now, over one-third of skills (35%) that are considered important in today’s workforce will have changed. By 2020, the Fourth Industrial Revolution will have brought us advanced robotics and autonomous transport, artificial intelligence and machine learning, advanced materials, biotechnology and genomics.

These developments will transform the way we live, and the way we work. Some jobs will disappear, others will grow and jobs that don’t even exist today will become commonplace. What is certain is that the future workforce will need to align its skillset to keep pace.

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Pillar #2 – Our Talent Graph Strategy

We continue to develop a Talent Graph Strategy for matching talent and resources to opportunity for long-term, high-income, potential and success. INNOVATION 4.0 has a powerful vision for harnessing social graph technology for the advancement of all people, that eliminates Bias from the hiring selection process, and provides an understanding of Return on Investment on learning specific skills.

We need better data on talent, a better way of leveraging that data through learning-based approaches, and data-driven applications that help our two constituent groups. Our approach allows for preservation and integrity of the data, completeness of the data and its narratives, while avoiding intrinsic and unconscious bias.

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