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RAG Explained: What Is Retrieval-Augmented Generation?

How To Buy Saas

Because the model pulls from a live knowledge base or index, it can include the latest data (new support tickets, latest blog articles, yesterdays financial numbers, etc.) SaaS platforms can leverage this for features like analytics explanations ( Explain this dashboard pulling yesterdays data) or compliance checks with current regulations.

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How to Choose CDP Tools: A Guide + Alternatives

User Pilot

With Lytics you can; Leverage 100+ integrations (including data warehouses, customer services tools, communication platforms, and more). Host in your Google Cloud for top-class privacy, security, and GDPR compliance. Map, combine, and harvest insights from data to improve the customer experience fast. Microsoft Azure dashboard.

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Best Applicant Tracking Systems for 2025

How To Buy Saas

All the leading platforms reviewed below like Workable, Greenhouse, and Breezy HR are SaaS solutions that serve companies globally with multi-language support and compliance features (e.g., GDPR for data privacy in Europe). EEOC compliance forms, resume formats) cater to US hiring norms.

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IaaS PaaS SaaS: Mastering The 3 Different Cloud Service Models

How To Buy Saas

Ensure cloud security and compliance. Virtualization of computing resources Helps manage large physical data centers for physical servers. Manage Big Data Analysis: IaaS provides a suitable environment to manage large workloads and can process and analyze big data. Follow data security and compliance.

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What is PCI attestation of compliance (AoC)? Key answers for platforms | Episode 47

Payrix

For software platforms handling payments, achieving PCI compliance is a critical step toward ensuring security and building trust with customers. Navigating the complexities of a PCI, including an attestation of compliance (or AoC) can feel overwhelming to say the least. What is a PCI attestation of compliance (AoC)?

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The Problems with Modern Data Stack + How to Solve Them

User Pilot

Let's discuss these challenges in greater detail below to see just how they make handling a modern data stack difficult. Maintaining several tools is an operational burden Each tool in the modern data stack is picked to address a specific process, from data collection to data analysis.

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