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Beyond “Prompt and Pray”

O'Reilly on Data

When we talk about conversational AI, were referring to systems designed to have a conversation, orchestrate workflows, and make decisions in real time. Instead of having LLMs make runtime decisions about business logic, use them to help create robust, reusable workflows that can be tested, versioned, and maintained like traditional software.

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The Race For Data Quality in a Medallion Architecture

DataKitchen

It is a layered approach to managing and transforming data. For instance, records may be cleaned up to create unique, non-duplicated transaction logs, master customer records, and cross-reference tables. The need to copy data across layers, manage different schemas, and address data latency issues can complicate data pipelines.

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What is SCOR? A model to improve supply chain management

CIO Business Intelligence

Supply chain management (SCM) is a critical focus for companies that sell products, services, hardware, and software. Optimizing the supply chain with AI AI is quickly being implemented across industries with the goal to improve efficiency and productivity, and supply chain management is no exception. was released in 2017 by the ASCM.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management. This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Manage access controls in generative AI-powered search applications using Amazon OpenSearch Service and Amazon Cognito

AWS Big Data

The permission mechanism has to be secure, built on top of built-in security features, and scalable for manageability when the user base scales out. In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona.

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Digital twins at scale: Building the AI architecture that will reshape enterprise operations

CIO Business Intelligence

Data processing and management Once data is collected, it must be processed and managed efficiently. Advanced data management techniques, including big data technologies and distributed databases, are integral to handling vast amounts of data. Prototyping and testing. Ensure data quality. Collaborate with stakeholders.