Partially Redacted: Data, AI, Security, and Privacy
Skyflow
76 episodes
8 months ago
Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
All content for Partially Redacted: Data, AI, Security, and Privacy is the property of Skyflow and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
Balancing Innovation and Responsibility in AI/ML Deployment with Jozu's Brad Micklea
Partially Redacted: Data, AI, Security, and Privacy
43 minutes 50 seconds
1 year ago
Balancing Innovation and Responsibility in AI/ML Deployment with Jozu's Brad Micklea
In this episode, we dive into the world of MLOps, the engine behind secure and reliable AI/ML deployments. MLOps focuses on the lifecycle of machine learning models, ensuring they are developed and deployed efficiently and responsibly.
With the explosion of ML applications, the demand for specialized tools has skyrocketed, highlighting the need for improved observability, auditing, and reproducibility. This shift necessitates an evolution in ML toolchains to address gaps in security, governance, and reliability.
Jozu is a platform founded to tackle these very challenges by enhancing the collaboration between AI/ML and application development teams. Jozu aims to provide a comprehensive suite of tools focusing on efficiency throughout the model development and deployment process.
This conversation discusses the importance of MLOps, the limitations of current tools, and how Jozu is paving the way for the future of secure and reliable ML deployments.
Resources:
Jozu
KitOps
Partially Redacted: Data, AI, Security, and Privacy
Partially Redacted brings together experts on engineering, architecture, privacy, data, and security to share knowledge, best practices, and real world experiences – all to help you better understand how to use, manage, and protect sensitive customer data.
Each episode provides an in-depth conversation with an industry expert who dives into their background and experience working in data privacy. They’ll share practical advice and insights about the techniques, tools, and technologies that every company – and every technology professional – should know about.
Learn from an amazing array of founders, engineers, architects, and leaders in the privacy space. Subscribe to the podcast and join the community at https://skyflow.com/community to stay up to date on the latest trends in data privacy, and to learn what lies ahead.
