Data Privacy and the Data Driven Professional - The New World of Data Privacy
Explore challenges in data privacy, tools for mitigating risks, and strategies for responsible data use to avoid misuse and financial penalties in the modern data-driven world.
Masking Sensitive Data - The New World of Data Privacy
Practical demonstration on automatically masking and refreshing sensitive data in database copies for developers, enhancing data privacy and security in SQL environments.
Power BI Data Privacy Settings Deep Dive
Explore Power BI data privacy settings: configuration, impact on performance, and error prevention. Learn to optimize query speed while ensuring sensitive data protection across sources.
Data Privacy, Security, Ethics and Compliance in a Data-Driven World
Explore ethical challenges in data-driven technologies, focusing on privacy, security, and compliance. Learn tools and strategies to mitigate risks and maintain integrity in the evolving landscape of AI and big data.
Give Power BI to the People - Securely Share Your Insights
Discover secure Power BI data sharing strategies, governance planning, and collaboration techniques to empower your organization while avoiding potential data breaches and privacy risks.
Confidential Computing MC
Explore confidential computing concepts, technologies, and applications in this comprehensive session from Linux experts.
Taming Data - State Challenges for ML Applications and Kubeflow
Explore challenges and solutions for managing data and state in ML applications using Kubeflow, covering storage APIs, data security, and scalability for large-scale AI/ML environments.
Brings Federated Learning to Kubeflow With FATE-Operator
Explore Federated Machine Learning implementation in Kubernetes using Kubeflow and FATE-Operator. Learn about data privacy, secure collaboration, and running FML jobs in cloud-native environments.
Compliance Beyond Security - A Cloud Native GDPR Implementation Experience
Explore GDPR implementation challenges in cloud-native environments, focusing on user data rights, data removal across the stack, and compliance strategies for modern regulatory landscapes.
Real-Time Data Anonymization the Serverless Way
Explore serverless real-time data anonymization using KEDA and Rook, focusing on privacy protection in Edge infrastructures through Cloud Native architecture and object detection AI models.
What, Why and How of Federated Machine Learning – Implementation Using FATE, KubeFATE, and FATE-Operator for Kubeflow
Explore federated machine learning's principles, use-cases, and implementation using FATE and KubeFATE. Learn about challenges, opportunities, and integration with Kubeflow for real-world applications.
How Prime Numbers Keep the Internet Secure
Explore the role of prime numbers in internet security, covering encryption methods and implementing RSA encryption using Ruby. Gain insights into HTTPS and data privacy.
Consequences of an Insightful Algorithm
Exploring ethical implications of data-driven algorithms, unintended consequences, and the need for empathy in software design to protect user privacy and well-being.
TensorFlow.js - Bringing Machine Learning to the Web and Beyond
Explore TensorFlow.js: train and deploy ML models in browsers and Node.js. Learn to integrate existing models, retrain with your data, and discover applications beyond web platforms.
In Conversation with a Silicon Valley Veteran
Explore fintech's balance of data privacy and growth with Affirm's Max Levchin, and gain insights on Silicon Valley's evolution from a tech industry pioneer.
Sensitive Data in the Cloud? You Can't Do That!
Explore secure handling of sensitive medical data in the cloud, challenging traditional views and discussing practical solutions using Microsoft Azure principles applicable across platforms.
Keynote - Are There Any Questions?
Exploring the evolution of human inquiry and its intersection with technology, from mechanical calculators to AI, and the implications for our future relationship with machines.
Where's My Free Lunch?
Explore the hidden costs of "free" digital services and open-source software, examining their impact on privacy, data, and societal implications in the modern tech landscape.
Welcome to the Machine - Hadi Hariri
Explore the impact of big data, AI, and social media on information flow and personal privacy, examining potential risks and societal implications.
Protecting Sensitive Data in Huge Datasets - Cloud Tools You Can Use
Explore tools and techniques for protecting sensitive data in large datasets, including PII detection, k-anonymity, and data transformation methods for responsible public data release.
Using Intel AMX CPUs for AI and LLMs on VMware vSphere
Discover how to deploy private AI models using Intel AMX CPUs and VMware vSphere, enabling secure, cost-effective LLM implementations without dedicated GPUs in your existing data center infrastructure.