AWS Partner Network (APN) Blog
Category: Amazon Machine Learning
Unlocking the Future of Field Service Optimization with Gen AI powered Yantr.ai
The global field service management market, valued at $4 billion in 2020, is expected to reach $24.29 billion by 2030, growing at a CAGR of 19.7%. However, challenges like inefficient workflow, overhead costs, and scheduling can hinder effective field services. Tech Mahindra Business Process Services, Yantr.ai, offers a platform using AWS Generative AI services to streamline operations.
AI Governance with Domino Data Lab on AWS: From Policies to Practices
As AI governance becomes a pressing necessity, Domino Data Lab, in partnership with AWS, is bridging the gap between abstract policies and actionable practices. Domino’s Enterprise AI Platform on AWS empowers organizations to innovate confidently and responsibly by seamlessly integrating effective governance throughout the AI lifecycle, mitigating risks while driving business value.
Badou Unlocks Business Productivity by Building Enterprise Intelligent Chatbot Capabilities
Badou Intelligent Technology Co., Ltd. is a high-tech enterprise driven by AI technologies such as large language models, natural language processing, and knowledge graphs. With its comprehensive enterprise-level intelligent interaction products and applicable solutions, the company creates customized intelligent knowledge interaction platforms for enterprises. In this blog, we will discover how Badou unleashing the business productivity with its innovative intelligent chatbot capabilities built on AWS.
Achieve Hyperautomation for Insurance Document Processing with Hyperscience and AWS
In this post, we will explore how the newly unveiled Hyperscience Hypercell, the all-in-one enterprise AI infrastructure software platform, allows insurance companies to leverage Hyperscience’s deep integration with the AWS’s Generative AI services such as Amazon Bedrock. This integration will allow insurance customers to get more value from their existing investments by developing turnkey automation solutions.
Healthcare Integration and Interoperability with Mirth Connect and AWS
Learn how NextGen Healthcare’s Mirth Connect can be seamlessly integrated with AWS services to securely transmit, transform, and store healthcare data in a FHIR-compliant format. This enables advanced analytics, AI, and machine learning to drive improved patient outcomes.
AllCloud Transforms QuesTek’s ICMD Platform Using Generative AI on AWS
QuesTek, a leader in Integrated Computational Materials Engineering (ICME), and AllCloud, an AWS Partner, collaborated to integrate generative AI into QuesTek’s ICMD (Integrated Computational Materials Design) platform. In this post, we will provide a high-level overview of the generative AI use cases that transformed the ICMD platform.
Redefine Crisis Management with Infosys’ Solution powered by AWS Generative AI
By Saibal Samaddar — Infosys Consulting By Tanushree Halder — Infosys Consulting By Supriya Pandey — Infosys Consulting By Sanchit Jain — Infosys Consulting By Dhiraj Thakur — AWS Infosys Critical infrastructure like consistent and predictable electricity supply serves as a foundation for a country’s development and advancement. India’s development pace relies heavily on a […]
DXC’s FirstPoint RIM.AI Medical document writing solution powered by Amazon Bedrock
By Hiranya Bharadwaj — DXC Technology ByLucy Bailey — DXC Technology By Akash Subramani — DXC Technology By Dhiraj Thakur — AWS DXC Technology Global Pharma companies need to prepare extensive documentation to seek regulatory approvals to market their drugs in the country. For each new drug application, thousands of documents must be drafted and […]
Your Safety Net – How ThinkCol built a LLM Guardrails solution on AWS
Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.
Building a privacy preserving chatbot with Amazon Bedrock
This post discusses an approach to creating a privacy-preserving chatbot using Amazon Bedrock and Skyflow Data Privacy Vault. We explore an architecture pattern for protecting sensitive information, such as personally identifiable information (PII) and intellectual property. The integration of Skyflow into a multi-tenant RAG model allows for an effective data privacy, compliance, and security framework to protect sensitive data throughout a generative AI application’s lifecycle.