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aiml

1

Glance-Speakers-Details

2024-06-05

10:00

14:00

2

Webinar - Live

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At a glance

Overview

Experimentation with generative AI tools is accelerating and understanding the top challenges on this journey can help ensure rapid market impact. Join this webinar to find solutions that can help teams quickly and efficiently move experiments to production-grade applications.  

Date & time

Date
Time
  •  

Overview

North America
  •  
Europe & Africa
  •  
Asia-Pacific
  •  

Overview

Who should attend

Overview

Speakers

Aramide Kehinde

Sr. Partner Solution Architect, AIML, AWS

Emily Kruger

VP of Product, Loka

Priya Arora

Global Head of Generative AI Center of Excellence, AWS

Telmo Felgueira

Senior Machine Learning Engineer, Loka

Peccy

Peculiar Ways, Amazon

Peccy

Peculiar Ways, Amazon

Peccy

Peculiar Ways, Amazon

Peccy

Peculiar Ways, Amazon

Details

Details

As leaders operationalize their generative AI proof-of-concepts, they seek solutions to launch products, accelerate innovation, and impact markets sooner. 

Delivering generative AI capabilities rapidly and at scale can present challenges to organizations whether they are building solutions, buying solutions, or pursuing a combination of both. Leading companies are finding innovative ways to balance their use of proprietary data for generative AI, while responsibly meeting legal, regulatory, and security needs.  

Join leaders from Loka and Amazon Web Services (AWS) to hear about the latest innovations in generative AI strategy and deployment to help accelerate your organizational transformation.

Also, learn about our spotlight series featuring generative AI solutions from IBM Software, MongoDB, OctoAI, Provectus, and Stability AI or check them out in AWS Marketplace

You will learn

  • How to unlock proprietary data securely and compliantly 

  • How to ensure scalability and ROI of generative AI solutions 

  • What to consider when comparing your options to build from scratch, buy and consume models as-is, or fine-tune them 

  • How to evaluate accuracy and performance of generative AI systems 

  • What legal and security considerations to keep in mind for running models on an ongoing basis 

Watch now

Watch now