In enterprise AI, the model isn't the hard part. Revalidation is.
You validate a system once. Then the model version is deprecated and you validate the whole thing again.
Most teams need a stable model they can pin for years more than a smarter one.
#AIProduct#AIEngineering
The zero-marginal-cost era of software just ended. Software PM assumed for 20 years that the marginal cost of a feature is zero. AI ends that. Every call has a price, so usage growth can now destroy margin instead of creating it.
#AIProduct#UnitEconomics#productmanagement
India’s healthcare conversation is still dominated by insurance. But the real long-term pressure comes from everyday spending — OPD, medicines, chronic care — quietly paid out-of-pocket.
Globally, structured health accounts have helped smooth this burden. India might need a similar rethink — not just how much we spend, but how intelligently we channel that spend over time.
#HealthcareReimagined #FutureOfHealthcare
#HealthEconomics #HealthcareInnovation #DigitalHealthIndia #SustainableHealthcare
#HealthcareFinancing #FinancialWellbeing
Marc Benioff says AI now does “30 to 50%” of the work in engineering, coding, and support at Salesforce.
He also says there is a 7% error margin and admits hallucinations remain a factor.
The future of enterprise software isn't perfect, but it's “pretty good.”
Too many think “vision” is a corporate ceremony. It isn’t. Vision isn’t just about workshops or mission posters—it’s about relentless clarity, courage to act, and the grit to inspire when no one else will. Less theory, more doing. #Vision#Leadership#Strategy#Execution #LeadBoldly
In the age of AI, should we still rely on RICE scores and gut feel to set our roadmaps? When 54% of PMs admit priorities lack data, it’s time to evolve. Imagine AI models predicting feature impact, simulating adoption, and dynamically reprioritizing in real time. The future is predictive, not reactive.
Hashtags:
#ProductManagement #AI #RoadmapPrioritization #PredictiveAnalytics #FutureOfProduct
Siloed product decisions waste billions: 35% of resources go to low- or no-impact features, while 70% of product roadmaps misalign with strategic goals. $30B+ lost annually to misprioritized work. Wake up!
#ProductManagement#AI#RoadmapAlignment#ReduceWaste#FutureOfProduct
The Alignment Illusion: When Consensus Kills Progress. Imagine if every team can block a decision—but none can move it forward. The result? Endless reviews. No launches.
Don't confuse inclusion with paralysis.
#OrgDesign#ExecutionMatters#BuildFaster#Leadership
INSIDER INSIGHT:
"Models over time get more different rather than more similar."
Unlike most tech, AI models develop distinct personalities and specialties.
The smart play? Bet on models becoming MORE differentiated, not standardized commodities.
Krieger's 3-part formula for AI startup dominance:
1. Target complex industries (healthcare, legal, finance)
2. Develop unique distribution channels
3. Access proprietary data no one else has
The unsexy groundwork is what creates lasting value.
India SaaS is redefining the global stage—AI-led innovation, focus on efficiency, and scaling globally while staying capital-smart. The next frontier? Unlocking $25B+ cloud growth & building unicorns that lead with purpose. #SaaS#AI#TechLeadership#IndiaInnovation#SaaSIndia
AI is a paradigm shift disguised as a technology problem. Yet, many enterprises are stuck on the 'how' of implementation, missing the bigger 'what'—the chance to redefine value, transform business strategies, and create new ecosystems. #AI#Innovation#businessmodel
“Artificial Intelligence is reshaping the economy like steam engines and electricity once did. It’s potential lies beyond automation—it’s transforming industries and unlocking untapped opportunities. The key now? Management vision and imagination.”
Must read for all the healthcare experts in India, to know what’s the state of I Dian healthcare data - “How Screwed is Indian Healthcare Data?” by Sai Krishna Kothapalli
https://t.co/gwD3lRdZlq