Speaker

Sanjay Ashok

Sanjay Ashok

Senior Consultant - AI/ML

London, United Kingdom

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Sanjay is a senior consultant at AWS. He specializes in building large scale AI/Ml solutions for enterprises on AWS cloud. He has enabled many Fortune 500 organizations innovate on latest trends and technologies to maximize their business outcome.

Area of Expertise

  • Manufacturing & Industrial Materials
  • Finance & Banking
  • Information & Communications Technology

Topics

  • AI/ML
  • Data Strategy
  • generative ai
  • Innovation
  • Data Analytics

FMOps/LLMOps: Operationalise Generative AI using MLOps principles

Learn how to operationalize Generative AI effectively with FMOps/LLMOps, employing MLOps principles. This session guides you through the integration of MLOps practices to streamline the deployment and management of foundation models (FMs) in generative AI applications. Discover best practices for maintaining operational efficiency, ensuring model reliability, and implementing continuous monitoring. Gain insights into the seamless orchestration of Generative AI workflows, empowering your organization to scale and optimize the operational lifecycle of your foundation models.

Build responsible generative AI application on AWS

In this session, we demonstrate the process of constructing a generative application utilizing Amazon Bedrock tailored to your organization. Utilizing Guardrails, we guide you in overseeing end-user experiences in alignment with application-specific requirements and responsible AI policies. This empowers you to consistently deliver secure user interactions in generative AI applications, regardless of the underlying foundation model (FM). Explore the newfound capability to define customized policies, manage user interactions with foundation models (FMs), and filter out disallowed topics and harmful content. Lastly, witness practical demonstrations illustrating the creation and application of tailored guardrails with FMs and Agents for Amazon Bedrock, facilitating the implementation of responsible AI policies in your generative AI applications.

AI Integration with .NET on AWS

Using AWS AI services there is lot of use cases like image and video analysis, natural language processing, personalized recommendations and translation, virtual assistants, and speech recognition. In this session we will discuss about integration of AWS servers with AI improvement in .Net on AWS

Sanjay Ashok

Senior Consultant - AI/ML

London, United Kingdom

Actions

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