Traditional anonymization techniques fall short in the AI era. Our new tutorial shows how to create safe synthetic patient data using SOTA privacy tech and a compound AI synthesizer. Gretel's approach: 🛡️ Goes beyond simple PII removal 🛡️ Addresses limitations of traditional anonymization techniques 🛡️ Generates new records not based on any single individual 🛡️ Provides robust protection against privacy attacks & re-identification risks This method ensures that your data is safe to share and train on, opening up new possibilities for data collaboration and AI model development while maintaining the highest standards of privacy. Want to see it in action? This tutorial includes a notebook for you to test the process yourself: https://lnkd.in/e3BDruRG #DataPrivacy #SyntheticData #AI #HealthTech
Gretel
Software Development
Palo Alto, California 18,387 followers
The synthetic data platform purpose-built for Generative AI
About us
Gretel is solving the data bottleneck problem for AI scientists, developers, and data scientists by providing them with safe, fast, and easy access to data without compromising on accuracy or privacy. Designed by developers for developers, Gretel’s APIs make it easy to generate anonymized and safe synthetic data so you can preserve privacy and innovate faster. You can learn more about synthetic data from Gretel's engineers, data scientists, and AI research team on our blog: https://gretel.ai/blog
- Website
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https://gretel.ai
External link for Gretel
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2020
- Specialties
- Generative AI, Synthetic Data, Privacy, AI, and Deep Learning
Products
The Developer Stack for Synthetic Data.
Data Privacy Management Software
Synthetic data that’s as good, or even better than the data you have. Or don’t have. Create and share data with the best-in-class accuracy and privacy guarantees – on demand.
Locations
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Primary
Palo Alto, California, US
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San Diego, California 92122, US
Employees at Gretel
Updates
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Gretel reposted this
Synthetic data is becoming an essential tool for AI and ML, offering a way to create high-quality datasets while preserving privacy. By generating data that mimics real-world scenarios without exposing sensitive information, synthetic data helps overcome challenges related to data scarcity, privacy regulations, and bias. Here’s what you’ll gain from Gretel University: - Hands-on Learning: Understand how synthetic data supports AI and learn how to create, evaluate, and integrate your own datasets. - Practical Insights: Whether you’re new to synthetic data or the Gretel platform, this course is designed to help you get started quickly and effectively. - Privacy by Design: Learn about Gretel’s commitment to data privacy and how the platform ensures security and compliance at every step. If you’re looking to deepen your knowledge of synthetic data, Gretel University offers valuable insights and tools to support your AI journey.
Gretel University
gretel.ai
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Gretel reposted this
THIS. Straight from one of the leading voices in AI: Andrej Karpathy (co-founder of OpenAI, former Director of AI at Tesla) speaking on the No Priors podcast yesterday: "I think [synthetic data] is the only way we can make progress... I think with synthetic data you just have to be careful... you actually really want that entropy, you want diversity and richness in your dataset. You have to inject entropy, maintain the distribution, and that's the hard part... I think synthetic data is absolutely the future. We are not going to run out of data is my impression." At Gretel, we’re not just building for that future — we’re living it. High-quality, diverse, and rich synthetic data is the foundation we’re creating today! Interested? Come work with us. We are hiring. Links below 👇
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Gretel reposted this
Excited to share Gretel's new Workflow Builder – a game-changer for data scientists and engineers working with sensitive data. Key benefits: - Visually chain multiple synthetic data models without coding - Streamline complex data anonymization and synthesis processes - Automate recurring data transformations and generation We just used it to create a privacy-preserving financial dataset, doubling its size while maintaining statistical properties. Perfect for analytics and AI model training in highly regulated industries.
Gretel's Workflow Builder Streamlines Multi-Step Synthetic Data Generation for Financial Services
gretel.ai
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Gretel reposted this
At Gretel we've been grappling with a difficult problem: How do we make financial chatbots smarter without compromising user privacy? It's been quite the puzzle, but we believe we have found a solution. We've combined Gretel's synthetic data tools with Databricks' data processing to create a new RAG approach. The key is using synthetic data that mimics real customer interactions without exposing any actual private information. This means we can: - Improve how chatbots understand context - Keep learning and improving without privacy risks - Offer more personalized help for complex financial questions If you're interested in the nitty-gritty details, we've put together a blog post explaining our approach. Happy to discuss further or answer any questions.
Privacy-First Chatbot Enhancement in Finance with Databricks and Gretel
gretel.ai
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We're thrilled to announce the launch of Gretel's Workflow Builder - a powerful new feature that streamlines the process of creating complex, multi-step synthetic data workflows. 🚀 With Workflow Builder, users can now visually chain together multiple synthetic data models in just a few clicks, without the need for manual code-based configurations. This new addition to the Gretel Console empowers our customers to automate and operationalize their synthetic data generation, making it easier than ever to create privacy-preserving datasets that maintain statistical properties and relationships. Check out our latest blog post to see Workflow Builder in action as we tackle a common challenge in the financial sector: https://lnkd.in/eJq3bcnD Ready to give it a try? Log in to the Gretel Console and start building your first workflow today! #syntheticdata #dataops #nocode #privacy #AImodeling
Gretel's Workflow Builder Streamlines Multi-Step Synthetic Data Generation for Financial Services
gretel.ai
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🇪🇺 Navigating EU data anonymization guidelines is essential. Here are some recommendations: - Case-by-case risk assessments - Transparent anonymization disclosures - Removal of rare attributes and quasi-identifiers 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: - Evaluating non-anonymized data - Factoring in contextual elements like sample size and public information - Assessing data's attractiveness to attackers - Using #PETs when training models 🐕 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐏𝐫𝐢𝐯𝐚𝐜𝐲 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 State of the art anonymization techniques, such as differential privacy can now automate best practices, too, including: 𝙿𝚛𝚎–𝚃𝚛𝚊𝚒𝚗𝚒𝚗𝚐: Advanced de-identification 𝙳𝚞𝚛𝚒𝚗𝚐 𝚃𝚛𝚊𝚒𝚗𝚒𝚗𝚐: Overfitting prevention and privacy enhancements 𝙿𝚘𝚜𝚝–𝚃𝚛𝚊𝚒𝚗𝚒𝚗𝚐: Continuous monitoring with similarity and outlier filters By adopting these methods, organizations can reduce data privacy risks and improve compliance. 🛡️ Learn more in our guide on EU privacy regulations and synthetic data generation: https://lnkd.in/duqf4gbj #GDPR #DataPrivacy #SyntheticData
Understanding Synthetic Data, Privacy Regulations, and Risk
gretel.ai
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Gretel reposted this
#2Gather Seattle Speaker Hightlight 🔊 Introducing Nigel Hartell, Chief Architect at Seattle Children's Hospital where he is responsible for technology strategy across the health system. Hear him speak during the panel discussion, The Future of Data-Driven Innovation and #Security! Meet the Lineup of Speakers: - Nigel Hartell, #SeattleChildrens - Sheila Woo, OpenText - Scott Barneson, #GoogleCloud - Stacy Roach, CDMP, #ZoomInfo - Kenneth (Max) Lundberg, Hover Inc. - Kirit Thadaka, #Gretel - Bonnie Donovan, #Google #Cloud - Bryan Daggett, #DoiT Sponsors: CoreLogic, DoiT, Gretel, ZoomInfo, and Google Cloud See you there, September 12th: https://lnkd.in/g5Jgrpi2
2Gather Seattle: Unleashing the Power of Data, AI, and Security | Google C2C Global
events.c2cglobal.com
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The latest edition of 𝙏𝙝𝙚 𝙂𝙧𝙚𝙩𝙚𝙡 𝙀𝙥𝙤𝙘𝙝 has shipped! 📦 Dive into the most recent synthetic data news, privacy science breakthroughs, and product developments. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲? - The role of synthetic data in preventing model collapse - New privacy risk scores for synthetic tabular data - Navigator's fine-tuning capabilities are now generally available - The release of our Synthetic Multilingual Prompts Dataset - Highlights from our recent Demo Day and LLMOps Micro Summit Whether you're an AI developer, researcher, or policymaker, we hope you find this newsletter valuable—and share it with your network. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗚𝗲𝗽𝗼𝗰𝗵👇🏼 #AI #SyntheticData #PrivacyByDesign
Measuring Privacy Risks and Preventing Model Collapse
Gretel on LinkedIn
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Gretel reposted this
Synthetic Data & AI | Channel Sales, Strategic Partnerships, & Business Development Leader | Enterprise SaaS, FinTech, Payments, & Digital Transformation | AWS Alum
Gretel is growing! We're looking for leaders who want to accelerate AI experimentation, development and adoption for enterprises. Industry leaders and enterprise innovators are using Gretel to generate and design #highquality #syntheticdata to improve AI models without compromising on privacy. https://lnkd.in/eU5yF9AH
Strategic Customer Engagement Manager
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