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Computer Vision AI Accelerators Inference & Training Brain-Inspired Computing
Chip Design Compute 2.0 Data Centers Machine Learning



KEY CHALLENGES IN BUILDING PRODUCTION-READY AI MODELS FOR MANUFACTURING
[WEBINAR]

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REGISTER
By registering, you agree to the terms and privacy policy.
Build performant, safe, and trustworthy AI at scale.

It is no longer a question of whether to use AI but rather where, when, and how.

Join our live session, focused on AI in manufacturing, to discover how the right
tools can enable you to identify and mitigate critical errors in
production-grade AI models.

🗓 Date: Thursday, May 2nd

⏰ Time: 11am ET | 4pm GMT



Whether you buy AI models from external vendors or build them internally, the
key technical challenges remain the same – expensive to obtain datasets, huge
class imbalance, data shifts, data leakage or model degradation after
deployment.

So, how do you know what is causing your AI models to fail, and how do you stop
that from happening?

Discover all the answers and more in our live session with LatticeFlow.


3 KEY TAKEAWAYS:

 * Buy or build: Regardless if you buy or build, understanding your AI model
   failures and risks is critical.
 * The necessity of identifying hidden blind spots: Preemptively identifying
   hidden model blind spots before deployment is becoming essential.
 * Understand your data at scale: To help you make informed decisions.

--------------------------------------------------------------------------------


MEET YOUR EXPERT HOST...

Dr. Pavol Bielik Co-Founder & CTO at LatticeFlow Dr Pavol Bielik earned his PhD
at ETH Zurich, specializing in machine learning, symbolic AI, synthesis, and
programming languages. His groundbreaking research earned him the prestigious
Facebook Fellowship in 2017, representing the sole European recipient, along
with the Romberg Grant in 2016. Following his doctorate, Pavol's passion for
ensuring the safety and reliability of deep learning models led to the founding
of LatticeFlow AI. Building on more than a decade of research, Pavol and a
dynamic team of researchers at LatticeFlow AI developed a platform that equips
companies with the tools to deliver robust and high-performance AI models,
utilizing automatic diagnosis and improvement of data and models.
AI Accelerator Institute
—
Key challenges in building production-ready AI models for manufacturing
[webinar]


Our mission is to help develop the next generation of machine intelligence
specifically focusing on accelerating AI at the edge.

For new and groundbreaking start-ups, we want to inspire and inform your
journey, and for those giants in the space, we want to provide the tools you
need to innovate and continue to propel your growth.

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newBuild performant, safe, and trustworthy AI at scale.