Tag: faang

This post is co-written with Steven Craig from Hearst.  To maintain their competitive edge, organizations are constantly seeking ways to accelerate cloud adoption, streamline processes, and drive innovation. However, Cloud Center of Excellence (CCoE) teams often can be perceived as bottlenecks to organizational transformation due to limited resources and overwhelming demand for their support. In …

Read more “Unleash the power of generative AI with Amazon Q Business: How CCoEs can scale cloud governance best practices and drive innovation”

Traditionally, insurance claims processing has been a labor-intensive and time-consuming process, often involving manual verification of documents and data entry. This can lead to delays in claim settlements and a frustrating experience for policyholders.  Loadsure, a global Insurtech firm based in London, recognized the need to address these challenges and sought a solution that would …

Read more “Can AI eliminate manual processing for insurance claims? Loadsure built a solution to find”

Fine-tuning is a powerful approach in natural language processing (NLP) and generative AI, allowing businesses to tailor pre-trained large language models (LLMs) for specific tasks. This process involves updating the model’s weights to improve its performance on targeted applications. By fine-tuning, the LLM can adapt its knowledge base to specific data and tasks, resulting in …

Read more “Best practices and lessons for fine-tuning Anthropic’s Claude 3 Haiku on Amazon Bedrock”

In the rapidly evolving landscape of artificial intelligence, enterprise AI engineering teams must constantly seek cutting-edge solutions to drive innovation, enhance productivity, and maintain a competitive edge. In leveraging an AI observability and evaluation platform like Arize AI with the advanced capabilities of Google’s suite of AI tools, enterprises looking to push the boundaries of …

Read more “Arize, Vertex AI API: Evaluation workflows to accelerate generative app development and AI ROI”

Preserving and taking advantage of institutional knowledge is critical for organizational success and adaptability. This collective wisdom, comprising insights and experiences accumulated by employees over time, often exists as tacit knowledge passed down informally. Formalizing and documenting this invaluable resource can help organizations maintain institutional memory, drive innovation, enhance decision-making processes, and accelerate onboarding for …

Read more “Unlock organizational wisdom using voice-driven knowledge capture with Amazon Transcribe and Amazon Bedrock”