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Practical AI: Machine Learning, Data Science, LLM
Practical workflow orchestration
Oct 15, 2024
58:26
Snipd AI
Adam Azzam, a principal product manager at Prefect, and Michael Greenwich, CEO of WorkOS, dive into the complexities of workflow orchestration in AI applications. They discuss how Prefect’s open-source library tackles the pains of managing workflows and introduces tools like Marvin for real-time support. The conversation highlights the importance of error management, visibility in pipelines, and the seamless integration of enterprise features for faster product development, showcasing innovative solutions for modern engineers.
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Quick takeaways
- Workflow orchestration remains a significant challenge for data scientists, particularly with the complexities introduced by large language models and agentic workflows.
- WorkOS provides scalable enterprise solutions that cater to businesses at various growth stages, facilitating a smooth transition from startups to larger organizations.
Deep dives
Understanding Enterprise Readiness
Determining when a business is ready for enterprise features, such as single sign-on (SSO) solutions, is not restricted to a specific moment but is an ongoing process. For many startups, the need for enterprise features may arise sooner than anticipated, especially when engaging with tech-forward small to mid-size businesses that prioritize security. WorkOS aims to bridge this gap by providing robust solutions that can cater to companies at various stages of their lifecycle. By offering free tools like AuthKit for up to one million users, they empower developers to build and scale applications without immediate financial burdens.
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