Bridging timeless knowledge with future-ready leadership.

Bridging timeless knowledge with future-ready leadership.

I spoke about Jain System of Knowledge In context of professional world at Jain Acedemy of Scholars yesterday. 

I connected Jain Philisophy and scriptures to 10 layer architecture of perceiving, knowing and intelligence.

In section 2, I connected various layers of System of Knowledge Architecture with four cognitive sciences – Design Thinking, First Principle Thinking, Framework Thinking and System Thinking. 

In section 3, I connected 10 layer SOK with 5 pillars of leadership starting from knowing self, Capacity to think, capacity to act, Concious learning and decision making. 

Section 4 I try to connect in various roles like Mental wellness, entrepreneurship, AI ethics, Sustainability and Digital Behaviour. 

This is the first attempt to connect Ancient Wisdom with Modern Relevance and Future Resposibility. I would like your insights and comments to make it better.

You can view the presentation on The Jain System of Knowledge in this link –

 https://lnkd.in/ggj3Px64

August 5, 2026

The Mathematics of India’s Healthcare Workforce

Continuing on same topic of health care, when can India have 2 doctors per 1000 and 3 doctors per 1000 including Ayush Doctors. 

Two questions

A.Capacity

  1. Serving and reach in Rural india 
  2. Currently india has 1.4 million MBBS and 700,000 Ayush formal doctors. 
  3. ⁠This gives ratio to 1.45 per 1000 in 2026.
  4. ⁠There are 1,36,000 medical seats which has increased from 50,000 seats in 2010. 
  5. ⁠There are 60,000 Ayush Doctor seats in India. 
  6. ⁠Combine one can take 180,000 production capacity per year. 
  7. ⁠For ratio of 2 doctors per thousand we will need 2.8 million doctors. It means we need to add 800,000 new doctors. 
  8. ⁠This means we can achieve 2 Doctors by 2031 or 2032. 
  9. ⁠For 3 doctors ratio, it will take upto 2038 to 2040.

Now the second dimension needs to be considered.

  1. Movement of qualified medical professionals to Villages. 
  2. ⁠In last 30 years, the city data shows the movement is extremely slow. It’s crowding in cities.
  3. ⁠Let me take lead indicators 
  4. The Road access to village has substantially improved in just last 5 years. Thus it is possible to commute to nearest village from Town within 90 minutes to 2 hours. 

B. The construction quality in Village housing as well as infrastructure has substantially improved in last 5 years. Much better in South and West Indian states. 
C. Technology cost of diagnostics machines are coming down and becoming more affordable to setup practice and make them viable.

August 5, 2026

The Future of Healthcare: Learning from Global Benchmarks

India’s Top Healthcare Cities (Approximate Capacity per 1,000 Population)

  • Chennai: 4.2 doctors | 8.5 nurses | 4.2 hospital beds
  • Delhi NCR: 2.9 doctors | 6.0 nurses | 3.2 hospital beds
  • Mumbai: 2.8 doctors | 6.0 nurses | 3.1 hospital beds
  • Kochi: 2.8 doctors | 6.5 nurses | 3.2 hospital beds
  • Bengaluru: 2.4 doctors | 5.0 nurses | 2.4 hospital beds
  • Hyderabad: 2.2 doctors | 4.5 nurses | 2.2 hospital beds
  • Kolkata: 2.2 doctors | 4.5 nurses | 2.4 hospital beds
  • Pune: 2.0 doctors | 4.5 nurses | 2.2 hospital beds
  • Ahmedabad: 2.0 doctors | 4.0 nurses | 2.0 hospital beds
  • Lucknow: 2.0 doctors | 4.5 nurses | 2.2 hospital beds

National Average (India): 1.0 doctor | 2.6 nurses | 1.4 hospital beds per 1,000 population.

Top Global Healthcare Cities (Approximate Capacity per 1,000 Population)

  • Zurich: 5.5 doctors | 21 nurses | 5.0 hospital beds
  • Geneva: 5.5 doctors | 21 nurses | 5.0 hospital beds
  • Munich: 5.2 doctors | 20 nurses | 8.0 hospital beds
  • Boston: 5.0 doctors | 16 nurses | 4.0 hospital beds
  • Paris: 4.5 doctors | 13 nurses | 5.5 hospital beds
  • New York City: 4.0 doctors | 15 nurses | 3.2 hospital beds
  • London: 3.8 doctors | 11 nurses | 2.5 hospital beds
  • Tokyo: 3.5 doctors | 15 nurses | 13.0 hospital beds
  • Singapore: 2.8 doctors | 8.5 nurses | 2.4 hospital beds
  • Seoul: 2.8 doctors | 9.0 nurses | 12.0 hospital beds

August 5, 2026

A Snapshot of India’s Medical Education and Healthcare Capacity

Just doing some research after reading morning news on number of 9900 seats added in medical education system this year. Few startling data points 

Few data points 

  1. ⁠India produce 1.2 lacs doctors per year.
  2. Total registered doctors in India are 14 lacs which translates to 1 doctor per 1000.
  3. The medical seats in India has gone up from 50000 to 136000 per year in last 15 years. 
  4. As per data india has only 4 million nurses ie 3 per 1000.
  5. The world best number of doctors are Cuba with 8 doctors per 1000 and few European countries with 5 doctors per 1000.
  6. US still has 3 doctors per 1000.
  7. The best performing countries have 21 nurses per 1000 while US has 15 nurses and india with just

August 5, 2026

Institution vs. Company: Building for Generations

My Diary – reflections on what is institution vs company.

Institutional Power : The capability to institutionalize excellence by embedding purpose, governance, learning, and renewal into enduring systems that coordinate people effectively and remain relevant across generations.

Enduring Systems – Enduring systems are self-renewing architectures that preserve purpose while continuously regenerating people, knowledge, culture, governance, and resources. 

August 5, 2026

India’s AI Moment: From Adoption to Global Leadership

We have the talent, the entrepreneurial energy, and the digital foundation to move beyond consuming technology to building it for the world.

It was a privilege to join Andy Jassy and fellow business leaders in a thoughtful discussion on AI, innovation, and the role India can play in shaping the next generation of intelligent enterprises.

One idea resonated strongly: AI is no longer about experimentation. The real opportunity lies in translating intelligence into measurable business impact – creating outcomes that improve productivity, decision-making, customer experiences, and human potential.

As we navigate this transformation, First Principles Thinking becomes increasingly important. It challenges us to move beyond incremental improvements and reimagine how businesses are designed, operated, and scaled in an AI-powered world.

The next chapter of AI will not be defined by technology alone. It will be shaped by leaders and organisations that can combine intelligence, purpose, and innovation to create meaningful and lasting impact.

Thank you, Andy, for an engaging and insightful conversation.

August 5, 2026

Beyond Programs: 13 Years of Architecting a Culture of Design

As we mark 13 years of the 8012 FinTech Design Center, I find myself reflecting not just on 2013, but on a journey that began around 2009, when we were asking a fundamental question at Polaris: how do we transform from a services organisation into a Product and Technology Institution…to be agenda setters.

Between 2009 and 2011, we initiated the Unmukt program to understand the art & science of human thinking, engaging over 1100 associates. While it created energy, the impact was not as enduring as we had expected and that was a defining learning, as it made us realise that thinking cannot be transformed through programs alone, but requires a continuous environment.

This led to the creation of the Design Center as an Inspirational Space, where thinking could be experienced through persona maps, empathy maps, patterns and anti-patterns, and by connecting the dots. The Center took nearly 15 months to design, with multiple iterations, and another 9 months to build.

When it came alive in 2013, it marked a shift in how we approached problems and contributed to the evolution of Intellect Design Arena Ltd in 2014 as a Product and Technology Institution.

Organising the Thinking Space
We learnt that transformation begins with organising the thinking space, because most challenges arise not from lack of intelligence, but from lack of structure in thinking. By bringing structure across imagination, learning, performance, effectiveness, influence and contribution, we moved from reactive to designed thinking.

Expanding the Performance Space
As thinking became organised, it led to expanding the performance space, where we moved beyond incremental problem solving to applying First Principles Thinking and questioning the fundamentals of systems and complexity.

Impacting Business Outcomes through Design Thinking
When thinking is organised and performance is expanded, the outcome is measurable business impact. This is reflected in platforms like eMACH.ai and Purple Fabric, which are outcomes of applying Design Thinking as a discipline to solve complex enterprise problems.

Over the last 13 yrs, more than 1lakh people have experienced the Center, and the real impact has been in how it has helped individuals/ institutions rethink their own thinking.

Design with AI
The next phase is about extending Design Thinking into the era of AI, where the focus is on designing intelligence that is precise, contextual and capable of delivering real business outcomes. Through Purple Fabric, with participation from global institutions, we are moving towards Business Impact (Precision) AI

As we enter this next phase, I would leave you with a question, and I would be keen to hear your thoughts:

Are we still experimenting with AI, or are we truly using it to create measurable business impact? Where do you see your organisation today?

March 18, 2026

The Missing Dimensions of AI: Restoring Darshan and Charitra to Digital Intelligence

India AI Impact Summit #3

AI DOESN’T HAVE A COMPUTE PROBLEM.
IT HAS A JUDGMENT PROBLEM.

Yesterday I reflected that the world already has enough AI capability; what it lacks is AI that enterprises can truly trust. Let me extend that thought with a simple question.

If today’s AI is so intelligent, why do enterprises still hesitate to trust it with real decisions?

We have larger models, better benchmarks, and increasingly impressive demonstrations. Yet inside banks, governments, hospitals, and large enterprises, AI adoption quietly stalls when reliability approaches 80–85 percent. Beyond that point, hesitation begins.

This is not a limitation of processing power.
It is not a shortage of data.
It is the absence of dependable judgment.

Human intelligence was never defined only by skill. In Indian philosophical thought,
intelligence has always carried three dimensions:

Darshan – how we see the world
Charitra – how we behave under pressure
Expertise – what we are capable of doing.

Modern AI has advanced rapidly in the third dimension. But systems that must support
consequential decisions require the first two as well. Without perspective and behavioral
grounding, intelligence remains incomplete. It can optimise outcomes, but it cannot yet carry
accountability

What interests us is what happens when we begin restoring Darshan and Charitra into AI
architecture – when intelligence is designed not only for performance, but for judgment.

This is the journey the Purple Fabric research team undertook: connecting the power of
compute, models, and agents with philosophical perspectives on behavior and
decision-making. We drew inspiration from dialogic traditions, including Socratic inquiry, to
structure reasoning in a way that increases reliability rather than simply accelerating output.

Today in Delhi, we shared this work publicly at the launch press conference for Enterprise AI
on Tap – Purple Fabric, India’s judgment-centric open Business Impact AI platform. The intent
is simple but disruptive: deliver decision-grade AI infrastructure on a monthly subscription
model that makes dependable intelligence accessible at scale. At ₹99,500 per month, the
goal is to challenge the high-cost, probabilistic AI platforms that have limited adoption, and
instead democratise AI so enterprises can build trust into their core decision systems.

The strongest conversations in the room were not about model size or compute scale. They
were about architecture how we design AI that organisations can stand behind.

Because the defining challenge of this AI era is not capability. It is dependable intelligence.

I look forward to continuing this dialogue at the India AI Impact Summit, exploring
how trustworthy intelligence – not just powerful models – can shape global digital
infrastructure, and why India is uniquely positioned to lead that direction.

February 13, 2026

My Diary : Bonsai of Human Development

I was watching the beauty of Bonsai Tree and some of them are over 500 year to 800 year old. The size of branch and leaves have changed.

The size of leaves and Branches are defined by DNA. This means external factors can change DNA during its own life. Someone calls this phenomena under epigenetics.

I am relating Bonsai story to ‘Minds of Villagers’. Over the period of time when someone cuts the branches again, the tree start shrinking, the leaves start shrinking. At one point of time the DNA of human grown there also becomes Bonsai.

Just a thought strike – Are 500 year plus tribes in various countries in world are modern ‘Bonsai of Human Development.’

October 18, 2025
July 22, 2024