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Author: Dhivya Nagasubramanian

Dhivya Nagasubramanian is an accomplished AI/ML leader and Vice President of AI Transformation at a Fortune 500 company, serving as Lead AI Solutions Architect within Operations. With over 15 years of experience in the financial sector, she has a track record of driving impactful, transformative initiatives that bridge business strategy and technological innovation. Dhivya’s expertise spans information technology, engineering, architecture, data science, and machine learning, enabling her to design and deploy advanced AI solutions that deliver measurable results. A graduate of the Carlson School of Management with a postgraduate degree in Business Analytics, and with further credentials in Business Communications from Harvard, Dhivya blends technical mastery with strategic insight to address complex business challenges effectively.

From Coworkers to Code: How Agentic AI Will Redefine White-Collar Work

Agentic AI is redefining the very nature of work by enabling autonomous agents to collaborate and perform critical functions independently.

Turning Vision into Reality: Mastering the Leap from POC to Production

Transitioning from proof-of-concept to full-scale production in AI requires a comprehensive operational framework to overcome challenges in data, performance, integration, compliance, and organizational readiness.

Reimagining Apps from the Lens of ChatGPT: A New Era of Personalized Intelligence

Rather than being mere tools, apps are evolving into smart companions—engaged, responsive, and capable of growing alongside the user.

The Data-First Leadership: Why Data Strategy is Key to Business Success

By embedding data at the core of their operations, organizations can unlock new growth opportunities, navigate challenges with agility, and drive innovation, positioning themselves as leaders in an increasingly data-driven world.

Our Community Content

Enterprise-Ready Agentic AI: What’s Hype, What’s Real, What’s Risk?

Leaders weigh the promise, limits, and governance of next-gen AI in enterprise settings

AI-Powered Sustainability: How Generative AI Drives Down Energy Costs and Carbon Footprints

Generative AI models, integrating building data with external factors like weather patterns, have an impact

The Evolving Generations of GCCs and the Leaders Behind Them

The leader is no longer a service provider; they are a co-owner of enterprise-level outcomes.

Agentic AI in Financial Services – Enhancing Customer Experience

Major banks are collaborating with technology leaders including OpenAI, Anthropic, Google Cloud, and Microsoft to

The $440 Million AI Lesson: Why 87% of Enterprise AI Projects Fail, And How Global Leaders Beat the Odds

AI governance failures stem from treating AI adoption as technical implementation rather than organizational transformation.

The Future of LLMs and AGI

More high-quality data + More compute + Better algorithms = More capability. But how long

The Role of Large Language Models in Data Privacy

Privacy-by-design is no longer optional; it’s a competitive edge when powered by LLMs.

Behind the Shelves: How AI Powers the Modern Retail Supply Chain

AI-powered logistics are making supply chains faster, smarter, and more resilient.

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