Strong authentication for the emerging markets. jouni h. leinonen, tectia corporation.
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Seminar on Information and Network Security for Emerging Markets. Presentation material 20-21.9.2011.
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![Strong Authentication for the Emerging Markets Challenges of and solutions for strong authentication ,[object Object],[object Object]](https://image.slidesharecdn.com/strongauthenticationfortheemergingmarkets-jounih-leinonentectiacorporation-111010013133-phpapp02/85/Strong-authentication-for-the-emerging-markets-jouni-h-leinonen-tectia-corporation-1-320.jpg)
![How to authenticate remote users? ,[object Object],[object Object],[object Object],[object Object],Key challenges in authentication Remote workers Business partners Ad-hoc remote accounts End users, consumers Trading partners Outsourced employees Suppliers, vendors External services Common drivers for authentication](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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