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K2VIEW BLOG

AI Data Fusion – New from K2view

AI Data Fusion injects enterprise data into Large Language Models – on demand and in real time – to ground GenAI apps and deliver responses users trust.

Oren Ezra

CMO, K2view

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December 4, 2024

K2view climbs higher in Gartner Magic Quadrant for Data Integration Tools 2024

Gartner names K2view a Visionary in its Magic Quadrant for Data Integration Tools for the 2nd year in a row, and rates it higher in its ability to execute.

Data Products

August 22, 2024

Enterprise LLM: The Challenges and Benefits of Generative AI via RAG

Enterprise Large Language Models (LLMs) using Retrieval-Augmented Generation (RAG) enhance the accuracy and context of their responses with generative AI.

RAG

July 31, 2024

Data Quality for AI: Through the Looking Glass

The concentration on generative AI puts data quality into sharp focus. Grounding LLMs with trusted private data and knowledge is more essential than ever.

RAG

March 21, 2024

Human in the Loop: Must There Always be One? Another AI Horror Story

With firms being held liable for their chatbot interactions, it's up to AI to ensure accurate answers. Having to rely a human in the loop is a non-starter.

RAG

March 19, 2024

RAG Conversational AI – Making Your GenAI Apps More Effective

Imagine users receiving fresh accurate info all the time. Retrieval-augmented generation optimizes conversational AI by injecting LLMs with enterprise data.

RAG

March 4, 2024

LLM Grounding Leads to More Accurate Contextual Responses

LLM grounding is the process of linking linguistic turns of phrase to the real world, allowing LLMs to respond more accurately than ever before.

RAG

February 28, 2024

Retrieval-Augmented Generation vs Fine-Tuning: What’s Right for You?

When your LLM doesn’t meet your expectations, you can optimize it using retrieval-augmented generation or by fine-tuning it. Find out what's best, when.

RAG

February 20, 2024

Active Retrieval-Augmented Generation – For Quicker, Better Responses

Active retrieval-augmented generation improves passive RAG by fine-tuning the retriever based on feedback from the generator during multiple interactions.

RAG

February 18, 2024

RAG GenAI: Why Retrieval-Augmented Generation is Key to Generative AI

RAG transforms generative AI by allowing LLMs to integrate private enterprise data with publicly available information, taking user interactions to the next...

RAG

February 14, 2024

LLM AI Learning via RAG Leads to Happier Users

By injecting private data into large language models, RAG enhances LLM AI learning for more personalized, precise, and pertinent answers to user queries.

RAG

March 21, 2023

The New K2view Logo

Our new logo reflects our disruptive data product technology, empowering enterprises to leverage their data as never before.

K2View

May 18, 2022

Accenture’s Teresa Tung on Operational Data Products in a Data Mesh

We had the pleasure of interviewing Teresa Tung, Accenture Cloud First Chief Technologist, about operational data products in a data mesh. Read on to learn how...

Data Mesh

December 15, 2021

Data as a Product: The Approach that Democratizes Data Access

Data as a product, a core principle of the data mesh model, realizes its full potential in a generative data product platform. Learn what, why, and how.

Data Mesh

March 16, 2021

The K2View on "What is data fabric?"

What do the analysts say? Forrester defines data fabric as a platform for “orchestrating disparate data sources intelligently and securely in a self-service...

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