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.
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In this episode, Kirk Marple, CEO and Co-founder of Graphlit, joins the show. Sean and Kirk dive into the world of unstructured data management, discussing the evolution and current challenges in the field.
In this episode, Jake Moshenko, CEO and co-founder of AuthZed, joins the show to explore the world of user permissions at scale. Inspired by Google's Zanzibar, AuthZed aims to tackle the challenges of authorization - a less common focus compared to authentication in the tech industry.
Aaron Painter, CEO of Nametag, joins the show to explore the evolving threat of AI deepfakes. They discuss the increasing sophistication of deepfake technology, highlighted by the significant rise in incidents such as the Retool hack, and how these technologies can manipulate public perception and security.