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How to Start a Knowledge Base: Simple Yet Surefire Approach

Ivanti

The challenge with this method was that this vast empirical knowledge was locked in each analyst’s brain. Eventually, a knowledge base initiative was started. Even though there are many great knowledge base vendors out there, they may not be able to integrate with your service management environment.

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UPS delivers customer wins with generative AI

CIO

The AI tool dips into the knowledge base used by customer agents to gain access to corporate procedures, as well as data to respond to myriad customer questions. Gownder, in a blog post last November as UPS was putting its solution into limited production.

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Standing on the Shoulders of a Giant

Dataiku

The Retrieval-Augmented Generation (RAG) approach enables Large Language Models (LLMs) to generate answers grounded in a knowledge base. Such a knowledge base is usually a relatively small and stable collection of corporate documents (e.g., technical documents, reports, procedures, contracts, etc.)

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CVE-2023-35078: Ivanti Endpoint Manager Mobile (EPMM) / MobileIron Core Unauthenticated API Access Vulnerability

Tenable

Critical Ivanti has published a blog post and a public advisory for this vulnerability that contains additional information, however further details are available in a knowledge base (KB) article only accessible to Ivanti customers. Analysis CVE-2023-35078 is an authentication bypass vulnerability in Ivanti’s EPMM.

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Enhanced External Integrity Checking Tool to Provide Additional Visibility and Protection for Customers Against Evolving Threat Actor Techniques in Relation to Previously Disclosed Vulnerabilities

Ivanti

The guidance for this new enhancement can be found in this Knowledge Base article (login required). Ivanti has also updated its recommendations for virtual appliances in the Knowledge Base article. It is always intended to be used in conjunction with continuous monitoring tools.

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Blog Recap: 3 Reasons to be HIPAA Compliant Across Digital Experiences

Perficient

Coveo indexes and organizes data from various sources, such as electronic health records, clinical systems, and knowledge bases, allowing authorized users to access relevant information securely and quickly.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

This AMP is built on the foundation of one of our previous AMP s, with the additional enhancement of enabling customers to create a knowledge base from data on their own website using Cloudera DataFlow (CDF) and then augment questions to the chatbot from that same knowledge base in Pinecone.