DataTrails

As AI adoption is becoming an integral part of businesses, it's become more important than ever to ensure companies' AI systems are traceable, explainable, and responsible. With DataTrails, users can trace and authenticate the origin and lineage of training datasets, real-time inputs, and model outputs thereby ensuring high data quality and reducing biases. Why You Can't Miss It: 💡 Discover the pros and cons of multi-party data sharing with AI ✍ Learn how capturing and storing detailed lineage information of datasets, AI models and processes enables Responsible AI Ready to be at the forefront of responsible AI practices? #ResponsibleAI #ExplainableAI #Traceability #Auditability 🔗  Read the Responsible AI and DataTrails White Paper:  https://lnkd.in/gQBMGssv

DataTrail's partners Nintex and True North Software Solutions, LLC have come together to discuss how cities leverage technology such as sensors and data analysis to efficiently enhance public safety. Steve Witt Director of Public Sector of Nintex and Bill Pugh⚡️, Co-Founder of True North spoke on their expertise in technology adoption in everyday city operations. View the webinar here: https://lnkd.in/gDtA9WDj

Check out The Stimson Center’s latest project with DataTrails using DLT technology to monitor and track international trade of chemicals covered by the Chemical Weapons Convention (CWC) with our latest demo 🙌. Watch here: https://lnkd.in/g7j7zW5A

The Stimson Center’s Monitoring and Tracking Chemicals (MATCH 2.0) project has been developing and testing DataTrail's distributed ledger technology (DLT) as a tool for recording transfers of scheduled chemicals as they are exported and imported with entities around the world. The project has explored DLT’s ability to streamline reporting and assist in the reconciliation of transfer discrepancies through participants’ sharing of a single, authoritative, digital ledger, even as it ensures industry and NA data confidentiality. Read more on the project here: https://lnkd.in/dFa5C_qt

Jon Geater, CTO of DataTrails, shares his personal career journey leading up to the founding of DataTrails. In this video, Jon reflects on the key moments, challenges, and lessons learned throughout his path in the tech world. Want to learn more about DataTrails? Visit www.datatrails.ai to explore how DataTrails is transforming the way organizations verify and prove the authenticity of data. https://lnkd.in/g7ME4DDn

At the TADSummit, our own Steve Lasker  presented how DataTrails provides trust and transparency through the life of a #vCon consent workflow. Watch the video of the session here:  https://lnkd.in/epaYYGzP You can also read more about the Vcon and SCITT solution here: https://lnkd.in/e7bwwAXw

Catch DataTrails' Director of Ecosystems Steve Lasker and our partner Strolid, Inc. tomorrow at the TADSummit Event. Strolid's CTO Thomas McCarthy-Howe will present 'The Rise and Rise of Vcons' and Steve Lasker will present 'SCITT and vCon AI Governance for Conversations, At Scale' shortly afterward to discuss how DataTrails' immutable ledger delivers transparency, integrity, and trust to communications. Don't miss out! Read more on the discussions here: https://lnkd.in/gMigBkS3

Former Forbes Council Member Keith Goldstein discusses the importance of provenance in supply chain transparency as it allows for an extra layer of trust with customers and partners. Read more: https://lnkd.in/gwEj4P46 Datatrails provenance management platform allows for immutable traceability for who did what and when, verifying the integrity of events, without disclosing the details of the event and seamlessly bring trust to your operations.

We are thrilled to announce that Patrun (www.patrun.ai) has chosen DataTrails to build verifiable data provenance and transparency into their AI datasets.     Patrun is an AI dataset marketplace focusing on providing ethically sourced and sanitized datasets, giving content users confidence that the data they are buying can be used in safely training AI models. Patrun also ensures that content creators receive royalties when their data is used.     Patrun is using DataTrails to provide integrity, transparency, and accountability to ensure the provenance of appropriate data licensing, and data lineage for both consumers and providers.    “As an AI startup that cares deeply about responsible AI, Patrun adds long-term confidence in our curated fully licensed datasets through DataTrails’ tamper-proof audit trail technology. This ensures that content users always know the provenance of their training data and content owners always receive compensation for their work. DataTrails enables us to deliver the integrity, transparency, and accountability our customers expect.”    --Alison Cossette, Founder, Patrun    DataTrails CEO Rusty Cumpston added “We are excited to partner with Patrun to strengthen the integrity of AI datasets and provide the proofs needed to verify attribution, accountability and explainability." 

California and the European Union are collaborating to harmonize AI regulations, focusing on ethical considerations, data privacy, and transparency. Read more: https://lnkd.in/gAgUzKJD DataTrails' transparency technology enables compliance of  the upcoming legislation.   #regulation #trustworthyAI #EUAIAct #AI