Helping enterprise leaders use AI to improve operations
25 yrs | Led 10,000+ teams | Healthcare
Dallas ๐บ๐ธ | Chennai ๐ฎ๐ณ
Dad ๐ | CSK ๐ | Thalaivar ๐ฌ
The healthcare AI question nobody asks in the boardroom:
'What happens to our patients if this is wrong?'
Every AI deployment in healthcare has a human on the other end.
Not a user. A patient.
Design like it matters. Because it does.
#Healthcare#AI#Leadership
The organizations creating the most durable advantage with AI arenโt the ones deploying the most models; theyโre the ones redesigning operations so AI, people, and processes work together to deliver measurable outcomes.
#HealthcareAI#AI
159 real AI deployments. 21 industries. 6 reversed or halted.
AI Weekly just published the most honest AI use case library.
Those 6 failures? More valuable than the 153 wins.
Failure is where the real learning lives.
#Healthcare#AI
Interesting! Weโre entering an era where intelligence itself becomes programmable. real differentiator wonโt be who builds the smartest AI, but who applies it responsibly to solve meaningful human problems. The future belongs to organizations that balance speed with stewardship.
University of Michigan just trained an AI on 5.24 million clinical MRIs and CT scans.
NeuroVFM. A generalist neuroimaging model.
AI that has seen more scans than any radiologist alive.
The question isn't 'can AI read scans? It already can. Better.
#Healthcare#AI
The next competitive advantage isnโt access to AI models.
itโs the ability to redesign operations so people, AI agents, and business processes work together as one integrated system.
#Healthcare#DigitalHealth#AI
AI will not fix a broken culture.
AI will not fix unclear ownership.
AI will not fix leadership that can't make decisions.
It will however make all three problems faster, louder, and more expensive.
Fix the org first. Then add AI.
#Healthcare#AI#Leadership
Every healthcare AI conversation I have ends the same way.
'We know we need to move. We just don't know where to start.'
Start with the workflow that frustrates your best people most.
Fix that one first.
Everything else follows.
#Healthcare#AI
3 humanoid robot companies filed for IPO in one week.
AI isn't just software anymore.
It's walking into hospitals and operating rooms.
The healthcare workforce conversation just got a physical dimension.
#Healthcare#AI#Robotics
The most underused AI capability in healthcare right now?
Not model memory โ organizational memory.
Capturing why your best clinicians make the calls they make.
Before they retire.
Before they leave.
Before that knowledge walks out.
That's the real AI urgency.
#Healthcare#AI
An AI tutor just beat the classroom in a peer-reviewed study.
Not supplemented the classroom. Beat it.
If AI can outperform a human teacher, the question for healthcare isn't 'can AI match a clinician?'
It's 'what do we do when it already has in some domains?'
#Healthcare#AI
The hardest conversation I have with leaders isn't about AI strategy. It's readiness.
Strategy is easy. Everyone has a deck.
Readiness is hard. It requires honest answers about data quality, workflow clarity!
Start with readiness. Not strategy.
#Healthcare#AI#Leadership
Anthropic just entered drug discovery.
Not a partnership. Not a pilot. An internal program targeting neglected diseases.
The company building the most capable AI on earth is now pointing it at the diseases.
That's what AI for good looks like.
#Healthcare#AI
Celebrating July 4th as one who chose America. Happy Independence Day!
250 years of bold bets on human potential. AI is the next one.
The country that put a man on the moon, built the internet, and sequenced the human genome is now leading the AI era.
#July4th#AI#USA
Something I keep telling healthcare leaders:Donโt ask โwhat can AI do for us?โ
Ask โwhat are we doing today that shouldnโt exist at all?โ
The best AI deployments Iโve seen started with subtraction, not addition.
Remove the waste first. Then automate what remains.
#Healthcare#AI
The #1 thing Iโve learned watching AI arrive:
The organizations that will win arenโt the ones with the best AI.
Theyโre the ones who knew their workflows well enough to know where AI belongs.
Self-knowledge before technology. Always.
#Healthcare#AI#Leadership
Everyone is asking, โWhich AI model should we use?โ
Very few , โWhich business problem should we solve first?โ
My rule:
Standardize the process.
Measure todayโs baseline.
Add AI.
Measure the outcome.
Technology is rarely the hardest part.
Execution is.
#EnterpriseAI#Ops
Why OpenAIโs new chip matters to enterprise operations
When inference becomes cheaper:
โข Every supervisor can have an AI assistant
โข Real-time quality monitoring becomes practical
โข Contact centers can automate more interactions
#Healthcare#AI