JERSEY CITY, NJ, November 27, 2025 /24-7PressRelease/ -- As artificial intelligence rapidly reshapes the global economy, a critical challenge has emerged: preparing the American workforce—from students to veterans and mid-career professionals—with the skills needed to thrive. The urgency for a national strategy on AI education and retraining is paramount to maintaining U.S. competitiveness and economic security. This pressing need has highlighted the importance of research and accessible training that provides actionable frameworks for educators, policymakers, and professionals.

Addressing this gap, independent researcher Satyadhar Joshi has been awarded a Silver Globee® Award for Impact, honoring his innovation and leadership in developing practical frameworks for AI integration in education and workforce policy. This international accolade coincides with the formal recognition of his work by the U.S. Department of Education, where two of his comprehensive research papers have been indexed in the official ERIC database (Education Resources Information Center).

His research provides structured educational pathways for the AI era, including a framework for integrating AI concepts into K-12 education and a cross-disciplinary curriculum for critical fields like rare earth elements, designed to create high-value career pathways for a diverse workforce, including transitioning military veterans.

Demonstrating a strong commitment to open science, Joshi has published several articles in open-access journals in 2025 alone, ensuring his research on AI governance, financial risk modeling, and workforce policy is freely available to the global public. This body of work provides critical insights into AI's impact on financial systems, national security, and economic stability.

To make this knowledge directly accessible to practitioners, Joshi has also developed a free public course on Udemy, "Generative AI for Financial Risk Management," which has already attracted thousands of enrollees. The course provides practical, hands-on training for professionals seeking to understand and apply generative AI in high-stakes financial contexts, effectively serving as an open-access reskilling tool.

"These frameworks, publications, and courses are designed to be practical tools," said Joshi. "The goal is to move from abstract policy discussions to concrete syllabi, training modules, and skills that can be implemented in classrooms and boardrooms, from kindergarten to vocational training centers and corporate offices. Preparing our workforce isn't just about learning to use AI tools; it's about integrating AI knowledge into core subjects and strategic industries to build a resilient, future-proof economy."

The research emphasizes that a successful national reskilling strategy must be multi-faceted, involving:
Curriculum Modernization: Updating K-12 and post-secondary curricula to include AI literacy and its application in critical fields.
Veteran and Mid-Career Transition: Creating accelerated, targeted training programs that leverage the experience of professionals for high-demand sectors.
Public-Private Collaboration: Aligning educational outcomes with the evolving needs of industry and national security.

The formal indexing of his work by a key U.S. government agency, his extensive open-access publications, global industry recognition, and public course offerings highlight the critical importance of bridging technological advancement with tangible workforce and educational policy.

About Satyadhar Joshi
Satyadhar Joshi is a quantitative analyst with experience in financial risk, data science, machine learning, and artificial intelligence. He has contributed to the field through a combination of applied research, educational content, and peer review work. His areas of focus include financial modeling, AI-driven risk assessment, and big data analytics.

He currently serves as an Assistant Vice President at Bank of America and conducts independent research in generative AI and financial systems. His work explores how modern AI methods, such as transformer models and generative algorithms, can be integrated into traditional risk modeling frameworks. His interest lies in improving the tools used to model uncertainty, particularly in the context of increasingly nonlinear and data-driven financial markets.

With a foundation in statistical modeling and machine learning, Joshi's research often applies generative AI techniques to practical problems in finance. He shares much of his work publicly through code repositories, technical documentation, and online tutorials. These resources include examples of AI deployment in cloud environments, market prediction models, and applications of vector databases.

In addition to technical contributions, Joshi engages in ongoing discussions about the impact of generative AI on the financial workforce. His writing addresses the evolving role of analysts in AI-augmented environments and considers how agentic systems may shift the nature of financial decision-making and compliance tasks. He also explores the policy and regulatory considerations that arise from the use of AI in finance.

Joshi's work spans multiple disciplines, drawing from behavioral finance, cognitive science, and systems engineering to inform the development of adaptive AI systems. Some of his recent research includes investigations into prompt engineering techniques for improving language model performance in structured financial tasks such as credit risk evaluation and stress testing.

For additional information or to request an interview:
Email: satyadhar.joshi@gmail.com

References:
https://eric.ed.gov/?q=satyadhar+joshi
https://credential.globeeawards.com/95297114-36d4-4440-a0bb-793e0210c302#acc.TJBFCzqc
https://www.udemy.com/user/satyadhar-joshi/
https://www.semanticscholar.org/author/Satyadhar-Joshi/2095547

Media Contact:
Satyadhar Joshi
+1 929 356 5046
satyadhar.joshi@gmail.com

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