Remove Data Engineering Remove Generative AI Remove Scalability
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Principal Financial Group uses QnABot on AWS and Amazon Q Business to enhance workforce productivity with generative AI

AWS Machine Learning - AI

Principal wanted to use existing internal FAQs, documentation, and unstructured data and build an intelligent chatbot that could provide quick access to the right information for different roles. The chatbot improved access to enterprise data and increased productivity across the organization.

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Why thinking like a tech company is essential for your business’s survival

CIO

We developed clear governance policies that outlined: How we define AI and generative AI in our business Principles for responsible AI use A structured governance process Compliance standards across different regions (because AI regulations vary significantly between Europe and U.S.

Company 186
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The key to operational AI: Modern data architecture

CIO

AI enhances organizational efficiency by automating repetitive tasks, allowing employees to focus on more strategic and creative responsibilities. Today, enterprises are leveraging various types of AI to achieve their goals. The team should be structured similarly to traditional IT or data engineering teams.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. Imagine that you’re a data engineer. These challenges are quite common for the data engineers and data scientists we speak to.

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Healthcare organizations must create a strong data foundation to fully benefit from generative AI

CIO

While the average person might be awed by how AI can create new images or re-imagine voices, healthcare is focused on how large language models can be used in their organizations. However, the effort to build, train, and evaluate this modeling is only a small fraction of what is needed to reap the vast benefits of generative AI technology.

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Revolutionizing customer service: MaestroQA’s integration with Amazon Bedrock for actionable insight

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies, such as AI21 Labs, Anthropic, Cohere, Meta, Mistral, Stability AI, and Amazon through a single API, along with a broad set of capabilities to build generative AI applications with security, privacy, and responsible AI.

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Improving air quality with generative AI

AWS Machine Learning - AI

This post presents a solution that uses a generative artificial intelligence (AI) to standardize air quality data from low-cost sensors in Africa, specifically addressing the air quality data integration problem of low-cost sensors. Having a human-in-the-loop to validate each data transformation step is optional.