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Governing the ML lifecycle at scale, Part 3: Setting up data governance at scale

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For example, in the bank marketing use case, the management account would be responsible for setting up the organizational structure for the bank’s data and analytics teams, provisioning separate accounts for data governance, data lakes, and data science teams, and maintaining compliance with relevant financial regulations.

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How AWS sales uses Amazon Q Business for customer engagement

AWS Machine Learning Blog

Earlier this year, we published the first in a series of posts about how AWS is transforming our seller and customer journeys using generative AI. Field Advisor serves four primary use cases: AWS-specific knowledge search With Amazon Q Business, weve made internal data sources as well as public AWS content available in Field Advisors index.

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Precise Software Solutions implements ML as a service on AWS to save time and money for federal agency

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Precise), an Amazon Web Services (AWS) Partner , participated in the AWS Think Big for Small Business Program (TBSB) to expand their AWS capabilities and to grow their business in the public sector. Precise Software Solutions, Inc. The platform helped the agency digitize and process forms, pictures, and other documents.

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Unstructured data management and governance using AWS AI/ML and analytics services

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Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent. Text, images, audio, and videos are common examples of unstructured data.

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How Rocket Companies modernized their data science solution on AWS

AWS Machine Learning Blog

Thats why we use advanced technology and data analytics to streamline every step of the homeownership experience, from application to closing. Communication between the two systems was established through Kerberized Apache Livy (HTTPS) connections over AWS PrivateLink. This also led to a backlog of data that needed to be ingested.

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10 Things AWS Can Do for Your SaaS Company

Smart Data Collective

AWS (Amazon Web Services), the comprehensive and evolving cloud computing platform provided by Amazon, is comprised of infrastructure as a service (IaaS), platform as a service (PaaS) and packaged software as a service (SaaS). With its wide array of tools and convenience, AWS has already become a popular choice for many SaaS companies.

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Reducing hallucinations in LLM agents with a verified semantic cache using Amazon Bedrock Knowledge Bases

AWS Machine Learning Blog

While these models are trained on vast amounts of generic data, they often lack the organization-specific context and up-to-date information needed for accurate responses in business settings. Lets assume that the question What date will AWS re:invent 2024 occur? If the question was Whats the schedule for AWS events in December?,

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