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Favorite It takes biopharma companies over 10 years, at a cost of over $2 billion and with a failure rate of over 90%, to deliver a new drug to patients. The Market to Molecule (M2M) value stream process, which biopharma companies must apply to bring new drugs to patients, is
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Shared by AWS Machine Learning May 29, 2025
Favorite In the financial services industry, analysts need to switch between structured data (such as time-series pricing information), unstructured text (such as SEC filings and analyst reports), and audio/visual content (earnings calls and presentations). Each format requires different analytical approaches and specialized tools, creating workflow inefficiencies. Add on top of
Read More Shared by AWS Machine Learning May 29, 2025
Favorite This blog post is co-written with Heidi Vogel Brockmann and Ronald Brockmann from GuardianGamer. Millions of families face a common challenge: how to keep children safe in online gaming without sacrificing the joy and social connection these games provide. In this post, we share how GuardianGamer—a member of the
Read More Shared by AWS Machine Learning May 28, 2025
Favorite Organizations across a wide range of industries are struggling to process massive amounts of unstructured video and audio content to support their core business applications and organizational priorities. Amazon Bedrock Data Automation helps them meet this challenge by streamlining application development and automating workflows that use content from documents,
Read More Shared by AWS Machine Learning May 28, 2025
Favorite This post was cowritten by Mulay Ahmed, Assistant Director of Engineering, and Ruby Donald, Assistant Director of Engineering at Principal Financial Group. The content and opinions in this post are those of the third-party author and AWS is not responsible for the content or accuracy of this post. Principal
Read More Shared by AWS Machine Learning May 24, 2025
Favorite Amazon Q Business, with its enterprise grade security, seamless integration with multiple diverse data sources, and sophisticated natural language understanding, represents the next generation of AI business assistants. What sets Amazon Q Business apart is its support of enterprise requirements from its ability to integrate with company documentation to
Read More Shared by AWS Machine Learning May 23, 2025
Favorite Improving response quality for user queries is essential for AI-driven applications, especially those focusing on user satisfaction. For example, an HR chat-based assistant should strictly follow company policies and respond using a certain tone. A deviation from that can be corrected by feedback from users. This post demonstrates how
Read More Shared by AWS Machine Learning May 23, 2025
Favorite Data privacy is a critical issue for software companies that provide services in the data management space. If they want customers to trust them with their data, software companies need to show and prove that their customers’ data will remain confidential and within controlled environments. Some companies go to
Read More Shared by AWS Machine Learning May 22, 2025
Favorite As companies increasingly adopt generative AI applications, AI agents capable of delivering tangible business value have emerged as a crucial component. In this context, integrating custom-built AI agents within chat services such as Slack can be transformative, providing businesses with seamless access to AI assistants powered by sophisticated foundation
Read More Shared by AWS Machine Learning May 22, 2025
Favorite In the mortgage servicing industry, efficient document processing can mean the difference between business growth and missed opportunities. This post explores how Onity Group, a financial services company specializing in mortgage servicing and origination, used Amazon Bedrock and other AWS services to transform their document processing capabilities. Onity Group,
Read More Shared by AWS Machine Learning May 21, 2025