METHODOLOGY

A six-pillar methodology that allows us to operate in multiple regions of the world at the intersection of multidisciplinary approaches, artificial intelligence, and innovation.

Identify opportunities and challenges for AI innovation

1 Research & Discover

  • Industry-specific AI Innovation Ecosystem Reports
  • Organization-specific AI Innovation Drivers Reports
  • AI Algorithms Mapping Reports: Evaluations, Integration, and Governance
  • AI Challenges for Business Solutions Scouting with Technology Firms and Academia
Case in point

Learn how to augment AI opportunities,
mitigate challenges and mobilize/upskill AI talent

2 Learn & Evolve

  • Industry and Organization-specific AI Skills and Competencies Audit
  • Organization-specific AI Innovation Drivers Reports
  • AI Innovation Trade-offs Report
  • Customized AI Curricula and Programs
  • AI Talent Mobility Programs
Case in point

Craft and decide on an AI innovation agenda and make strategic decisions (ex. implement vs. scale-up)

3 Decide & Innovate

  • Participatory and Advisory Roundtables
  • AI Innovation Roadmap (Recommendations research, education, and business deployment)
  • Data Supply/Demand Map: input data, training data, feedback data
  • Organizational Redesign and AI/ML Modeling Report
Case in point

Train, Test, Validate and Deploy AI algorithms, build public and private partnerships and mobilize other resources

4 Deploy & Add Value

  • Advisory Groups and Strategic Partnerships Report
  • Stakeholders, Data, AI/ML techniques, Talent and Computational Power Report
  • Research and development Collaborative AI Labs: from modeling to deployment
Case in point

Evaluate the AI model, create participatory feedback mechanisms, hold developers accountable and advance stakeholders participation

5 Evaluate & Improve

  • AI Monitoring & Evaluation Framework
  • Responsible AI Report: explainability, reliability, value, law, ethics, risks, safety and security
Case in point

Disseminate best practices, recommendations and lessons learned as well as assess system’s and community impact

6 Disseminate & Impact All

  • Industry-wide Report
  • Organization-specific case studies
  • Papers series and Academic Journal
  • AI Webinars
  • Standards and benchmarks: transparency, fairness and trust
  • Podcasts
Case in point