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Are enterprises ready to adopt AI at scale?

CIO

This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models. They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics.

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FinOps SaaS: The missing piece of the puzzle

CIO

It’s critical to understand the ramifications of true-ups and true-downs as well as other cost measures like storage or API usage because these can unpredictably drive-up SaaS expenses. Following the audit, it is crucial to create and implement governance guidelines for the organisation’s use, management, and acquisition of SaaS.

Cloud 173
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AI’s data problem: How to build the right foundation

CIO

As AI solutions process more data and move it across environments, organizations must closely monitor data flows to safeguard sensitive information and meet both internal governance guidelines and external regulatory requirements.

Data 147
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Data Minimization as Design Guideline for New Data Architectures

Data Virtualization

The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a.

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Using responsible AI principles with Amazon Bedrock Batch Inference

AWS Machine Learning - AI

Ethical prompting techniques When setting up your batch inference job, it’s crucial to incorporate ethical guidelines into your prompts. The following is a more comprehensive list of ethical guidelines: Privacy protection – Avoid including any personally identifiable information in the summary. For instructions, see Create a guardrail.

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Generative AI is earning good grades in education

CIO

Educational guidelines and guardrails are needed to fully leverage the potential that AI and generative AI hold for advancing education and supporting teachers and students. Users must get the right kind of storage infrastructure to handle AI workloads and process unstructured data in real-time.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

The solution consists of the following steps: Relevant documents are uploaded and stored in an Amazon Simple Storage Service (Amazon S3) bucket. The Amazon Titan Text Express model will then generate the evaluation response based on the provided prompt instructions, adhering to the specified format and guidelines.