Don't fit a square peg into a round hole - Diving into ML Ops and AI/ML Tooling [L300]

April 18, 2021
Building machine learning solutions that can be reproduced and deployed to production can be a challenge. The AWS prototyping team has built MLOps solutions for various customers in under 8 weeks. In this session, discover top 10 best practices to avoid common pitfalls and successfully operationalise AI/ML solutions that work at scale. Learn about the tools and techniques you need to integrate faster with AI/ML, the role of ML Ops in modern development pipelines and how to use various ML Ops architectures. AWS Speaker: Mirash Gjolaj, Prototyping Architect, AWS
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Prototyping with confidence - Using modern tooling for frictionless, high velocity innovation [L300]
Prototyping with confidence - Using modern tooling for frictionless, high velocity innovation [L300]

Moving fast does not equate to low quality or risk - it is possiblie to strike a balance between rapid deve...

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Beautiful failures: Real-life stories from the trenches of high-velocity AI/ML prototyping [L200]
Beautiful failures: Real-life stories from the trenches of high-velocity AI/ML prototyping [L200]

In this session, see how and why AI/ML prototyping engagements have failed through real examples. Pick up s...