Compelling Pipeline - theboardiQ 2025 Hall of Fame

Top 100 - All Races | All Gender | All Ages | People of Color | Under-represented minorities | LGBTQ+ | Differently abled | Veterans, for Board and Executive Roles in Corporate America. 

theboardiQ, an early stage startup, headquartered in the Bay Area, California, today released the 2025 theboardiQ Hall of Fame - exceptional, board-ready and next-generation leaders, making an impact in four future focus areas

“theboardiQ identified 100 stellar individuals that are at three stages of maturity for board roles," says Smitashree Menon, Founder & CEO at theboardiQ. "CXOs, CTOs, VPs, EVPs, CIOs, CISOs, CFOs, startup CEOs who are seasoned and Board Ready. Then there are Subject Matter Experts, exemplars in their own fields, domain experts, doctors, academicians, inventors as well as Next Generation leaders who need to get some more exposure with shadow board roles and immersive experiences before assuming board responsibilities.”

The genesis of theboardiQ Hall of Fame began with the clear intent to move the needle in recognizing and shining the spotlight on the best executive talent, helping to raise awareness and increase opportunities for - All Races | All Gender | All Ages | People of Color | Under-represented minorities | LGBTQ+ | Differently abled | Veterans, for Board and Executive Roles in Corporate America.

Today, more than ever, there is a need for a platform that promotes hiring based on the foundational pillars of "equal opportunity" (everyone has access to opportunities), "égalité" (state of being equal - everyone has the same rights and opportunities) and "equity" (fairness in outcomes - providing resources to ensure everyone has a chance to succeed). The thought process of enabling a world where finding the perfect mix of experience and future-focused talent is swift, efficient, and aligns with your values.

The Hall of Famers are envisioned to provide a steady pipeline of top talent mapped and recommended for the right Board and Executive role based on their contextual Skills, Knowledge and Wisdom.

There are 8 -12 skills that every candidate is evaluated on for board roles. theboardiQ Ace Contextual Skill Assessment is the first step to contextualize the Hall of Famers’ skills and experience to set them up for the relevant Ace Board Readiness Path. This is based on research findings of the Glass Lewis Method of Board Selection Process of Public Companies.

To access ACE, sign up for theboardiQ Edge Strategic Coaching module - this includes a self assessment followed by a customized self paced board readiness path. Your place, your pace, your time. 95% recommendations are free. Content is curated by theboardiQ from top MOOCs, theboardiQ, Universities and Institutions (UN, World Bank and WEF). The modules have assessments / quizzes leading upto certification by theboardiQ Academy.

ACE Board Readiness Paths - Your Place | Your Pace | Your Time

For the first time, based on Generative AI using NLP (Natural Language Processing) and ML (Machine Learning), Hall of Famers are recommended an ACE Board Readiness Path, based on the patterns it has learnt on their suitability for a role, ensuring the process is driven by objective criteria.

theboardiQ leverages a combination of AI techniques to streamline the skill profile of a Hall of Famer, to reduce bias and help identify the best talent for Board and Executive Roles, faster, accurately and economically.

Please note that Generative AI is an experiment and under training - and could potentially lead to incorrect interpretations at times.

Techniques used (not limited to):

Natural Language Processing (NLP): NLP is the core of the AI's ability to analyze unstructured textual data, such as executive profiles, resumes, and other documents.

Machine Learning (ML): ML algorithms are used to learn from data and improve the AI's effectiveness over time: analyze historical data to predict which candidates are most likely to succeed in a particular role based on their qualifications and experience. Pattern recognition: The AI can detect patterns and insights in large datasets that a human might miss, providing a more comprehensive view of the talent landscape. Candidate scoring: Based on the patterns it learns, the AI uses ML to rank candidates on their suitability for a role, ensuring the process is driven by objective criteria.

Past editions of the Hall of Fame - harnessed 65+ official corporate communication releases | 200,000+ LinkedIn likes | 2M+ views | 250+ Tweets and Retweets.

Media Queries 

Smitashree Menon, Founder and CEO

smitashree@theboardiQ.com