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Join us for a Fireside Chat featuring Alessya Visnjic, CEO and Co-founder of WhyLabs and Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we delve into the world of AI Observability and Large Language Models.

In this conversation, we’ll explore the critical role of AI Observability in ensuring the safety and security of large language models (LLMs). Our speakers will share their expertise and unique insights into monitoring and understanding these advanced models, emphasizing the significance of specialized analytics tools and observability platforms.

This discussion aims to offer fresh insights and practical approaches for technical architects, engineers, and organizational leaders seeking to leverage LLMs and generative AI through AI Observability.

Join us for a Fireside Chat featuring Alessya Visnjic, CEO and Co-founder of WhyLabs and Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we delve into the world of AI Observability and Large Language Models.

In this conversation, we’ll explore the critical role of AI Observability in ensuring the safety and security of large language models (LLMs). Our speakers will share their expertise and unique insights into monitoring and understanding these advanced models, emphasizing the significance of specialized analytics tools and observability platforms.

This discussion aims to offer fresh insights and practical approaches for technical architects, engineers, and organizational leaders seeking to leverage LLMs and generative AI through AI Observability.

Join us for a Fireside Chat featuring Alessya Visnjic, CEO and Co-founder of WhyLabs and Raja Iqbal, CEO and Chief Data Scientist at Data Science Dojo, as we delve into the world of AI Observability and Large Language Models.

In this conversation, we’ll explore the critical role of AI Observability in ensuring the safety and security of large language models (LLMs). Our speakers will share their expertise and unique insights into monitoring and understanding these advanced models, emphasizing the significance of specialized analytics tools and observability platforms.

This discussion aims to offer fresh insights and practical approaches for technical architects, engineers, and organizational leaders seeking to leverage LLMs and generative AI through AI Observability.

In this episode of DataFramed, Adel speaks with Alessya Visnjic, CEO and co-founder of WhyLabs,  an AI Observability company on a mission to build the interface between AI and human operators. Throughout the episode, Alessya talks about the unique challenges data teams face when operationalizing machine learning that spurred the need for MLOps, how MLOps intersects and diverges with different terms such as DataOps, ModelOps, and AIOps, how and when organizations should get started on their MLOps journey, the most important components of a successful MLOps practice, and more. 

Relevant links from the interview:

Connect with Alessya on LinkedInAndrew Ng on the important of being data-centricJoe Reis on the data culture and all things datawhylogs: the standard for data logging — please send you feedback, contribute, help us build integrations into your favorite data tools and extend the concept of logging to new data types. Join the effort of building a new open standard for data logging!Try the WhyLabs platform