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What is IBM Network Intelligence?

IBM Network Intelligence is designed to facilitate a smooth transition to an autonomous network lifecycle by delivering real-time insights and automating operations across diverse vendors and sectors. Utilizing network-native AI specifically developed on comprehensive telemetry data, it combines analytical capabilities with reasoning to function as a collaborative partner rather than a passive observer. Its AI decisions are transparent and explainable, providing users with the confidence to grasp the reasoning behind every action taken. Built on an open and interoperable framework, it integrates effortlessly with existing tools and operates in on-premises, cloud, or hybrid environments without enforcing vendor lock-in or requiring extensive system changes. From the beginning, its pretrained models and rapid ecosystem integration enable teams to minimize distractions by focusing on actionable, high-confidence insights. This functionality not only reduces the number of recurring incidents but also speeds up repair times and improves overall mean time performance, leading to more efficient network management. Thus, organizations can adopt this innovative technology with confidence, effectively addressing the challenges presented by today's complex network landscapes. Ultimately, this advancement empowers businesses to stay ahead in an ever-evolving digital world.

What is Arize Phoenix?

Phoenix is an open-source library designed to improve observability for experimentation, evaluation, and troubleshooting. It enables AI engineers and data scientists to quickly visualize information, evaluate performance, pinpoint problems, and export data for further development. Created by Arize AI, the team behind a prominent AI observability platform, along with a committed group of core contributors, Phoenix integrates effortlessly with OpenTelemetry and OpenInference instrumentation. The main package for Phoenix is called arize-phoenix, which includes a variety of helper packages customized for different requirements. Our semantic layer is crafted to incorporate LLM telemetry within OpenTelemetry, enabling the automatic instrumentation of commonly used packages. This versatile library facilitates tracing for AI applications, providing options for both manual instrumentation and seamless integration with platforms like LlamaIndex, Langchain, and OpenAI. LLM tracing offers a detailed overview of the pathways traversed by requests as they move through the various stages or components of an LLM application, ensuring thorough observability. This functionality is vital for refining AI workflows, boosting efficiency, and ultimately elevating overall system performance while empowering teams to make data-driven decisions.

Media

Media

Integrations Supported

Integrations Supported

Amazon Bedrock
Arize AI
CoLab
Codestral Mamba
GitHub
GrowthBook
Guardrails AI
Haystack
JupyterLab
LlamaIndex
Mathstral
Ministral 3B
Mistral 7B
Mistral Large
Mistral NeMo
Mistral Small
OpenAI
OpenTelemetry
Python

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/network-intelligence

Company Facts

Organization Name

Arize AI

Company Location

United States

Company Website

docs.arize.com/phoenix

Categories and Features

Network Management

Not specified

Categories and Features

AI Observability

Not specified

LLM Evaluation

Not specified

Semantic Layer

Not specified

Telemetry

Not specified

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