Synthetic Data Expert | 20+ Yrs
@SyntheticDataS
Building high-integrity synthetic healthcare data for smarter, safer AI #HealthTech #SyntheticData
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With 20+ years in healthcare analytics, I’m dedicated to creating context rich SyntheticData for startups, educators & analytics orgs. #Healthcare #SyntheticData DM for Collabs, Ideas or Data
Check it. When fake data is a good thing – how synthetic data trains AI to solve real problems theconversation.com/when-fake-data… via @ConversationUS #tech #digital #privacy #crypto #ai
60% of all AI and analytics data will be synthetic in near future, enabling faster, privacy-compliant healthcare innovation like never before. #SyntheticData
ML models trained on synthetic datasets can boost predictive accuracy by 7–13 which means earlier disease detection and more impactful digital health solutions. #SyntheticData
#AI systems increasingly rely on synthetic data (computer-generated images and scenarios) to train safely and fill gaps real data can’t. A statistician shows how this “fake” data can boost accuracy without misleading people: buff.ly/LBoXRTH
Synthetic Data and the Future of AI | Cohere CEO Aidan Gomez youtu.be/SGQysDdJUHg?si… via @YouTube
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Synthetic Data and the Future of AI | Cohere CEO Aidan Gomez
Generate synthetic datasets that capture the complex relationships in your original data. Andrew Skabar demonstrates the process using nonparametric conditional distributions. towardsdatascience.com/why-nonparamet…
As artificial intelligence researchers exhaust the supply of real data on the web and in digitized archives, they are increasingly turning to synthetic data, artificially generated examples that mimic real ones. #ArtificialIntelligence #SyntheticData #DataScience #AIResearch…
November marks Lung Cancer Awareness Month, a reminder of the urgent need for better tools to detect disease earlier, guide treatment decisions, and improve outcomes for patients. In SYNTHIA, the Lung Cancer Use Case Team explores how synthetic data (SD) can advance early…
AI’s future is “fake.” And that’s exactly why it will work. We’ve burned through the internet’s real data. Synthetic data is infinite, private, and already training models like Nemotron. The next frontier: avoiding model collapse with better-quality “fake” data. #AI #ThaerMakdsi
With synthetic data, healthcare AI teams spend 30–40% less time on data cleaning and preparation, focusing more on building smarter, real-world analytic features #SyntheticData
The synthetic data space in healthcare is seeing several emerging startups in India and globally, indicating a vibrant ecosystem but also competition. Anybody with long experience can position well to offer premium, consulting level services that others may lack #SyntheticData
Meta just ran one of the largest synthetic-data studies (over 1000 LLMs, more than 100k GPU hours). Result: mixing synthetic and natural data only helps once you cross the right scale and ratio (~30%). Small models learn nothing; larger ones suddenly gain a sharp threshold…
Train AI models on data that does not even exist! SDV is an open-source framework that uses ML to learn patterns from your real data and generate tabular synthetic data at scale. Supports built-in anonymization, validation and more.
Organizations are starting to look for synthetic data specialists who can combine domain knowledge especially in healthcare with advanced generative modeling techniques to solve challenges like data scarcity, privacy issues, and collaboration barriers #SyntheticData
India’s synthetic data generation market for healthcare is growing rapidly, with projected valuations expanding from around USD 72 million in 2025 to over USD 6.3 billion by 2035 at a CAGR of about 56%. The healthcare segment is the largest and one of the fastest growing adopters
#SyntheticData: The New #Data Frontier-@wef #Bigdata #ArtificialIntelligence #Dataanalytics #GenerativeAI #GenAI #Fintech #Finserv #Regulation #Regtech #AIEthics #decisionmaking #governance #ethics @Damien_CABADI @bamitav @mikeflache @Nicochan33 reports.weforum.org/docs/WEF_Synth…
When building Products, Why settle for “random” sample data when you can have tailored, business-researched, integrity-checked synthetic datasets that unlock rapid prototyping and enable successful Demos. #SyntheticData #Healthcare #HealthcareAnalytics
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