Migrating to Amazon Bedrock and accelerating gen AI app development (AIM203)

Key Takeaways

Overview

  • Retes Kumar from the Bedrock go-to-market team introduces the agenda and key themes from customer feedback on Bedrock.
  • David Kerr, CTO of Forcura, and Diego Rio, Technology Director at Senet, share their experiences and use cases of leveraging Amazon Bedrock.

Bedrock Focus Areas

  1. Model Choice:

    • Enabling easy model evaluation and selection based on accuracy, latency, and cost.
    • Providing flexibility to use proprietary, open-source, or custom models.
  2. Leveraging Corporate Data:

    • Simplifying prompt engineering and fine-tuning to use corporate data effectively.
    • Enabling agentive workflows to execute tasks beyond just providing answers.
  3. Responsible AI:

    • Ensuring data privacy and security by not storing or sharing customer data.
    • Providing compliance certifications and guardrails to define corporate policies.
  4. Developer Experience:

    • Offering a serverless experience with easy model switching and custom model import.
    • Providing tools like Bedrock Flows, Bedrock Studio, and cost tagging to improve developer productivity.

Forcura's Journey

  • Forcura, a healthcare SaaS company, used Bedrock to solve the challenge of summarizing large, unstructured patient intake documents.
  • The Bedrock-powered solution resulted in a 30% reduction in intake time, improved clinician productivity, and increased client win rate.

Senet's Journey

  • Senet, a large retail conglomerate, leveraged Bedrock to address challenges around personalization, operational efficiency, insights, and content generation.
  • Key use cases include image-based product description generation, automated product reviews, conversational chatbots, and personalized recommendations.
  • Senet experienced significant improvements in KPIs like click-through rate, conversion rate, and average order value.

Next Steps for Senet

  1. Improve and standardize Bedrock-powered applications across the organization.
  2. Expand the use of generative AI beyond the tech teams to other business units.
  3. Strengthen data governance and security as the foundation for AI initiatives.
  4. Improve generative AI literacy and training for Senet associates.
  5. Drive innovation by collaborating with startups and investing in new AI capabilities.

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