Advancing open healthcare AI performance

wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.

Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.

Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.

Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.

CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.

Deutsche Bank developed DB Lumina, an AI-powered research agent built on Gemini and Vertex AI through a partnership with Google Cloud. The solution automates the creation of financial research reports by rapidly condensing extensive market data—such as converting a 400-page report into a three-page summary—thereby streamlining analysis workflows while maintaining rigorous data privacy standards.

Capgemini partnered with Google Cloud to develop industry-specific agentic AI solutions that automate customer request handling across multiple channels such as web, social, and phone. The implementation integrates Google Agentspace, Customer Engagement Suite, and Agent2Agent interoperability protocol into existing customer service infrastructures to enhance personalized support, call routing, and workflow automation. This advanced solution transforms customer experience by streamlining communications and enabling proactive engagement.

wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.