Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • NetBrain Reviews & Ratings
    144 Ratings
  • New Relic Reviews & Ratings
    2,573 Ratings
  • Resolver Reviews & Ratings
    254 Ratings
  • EHS Hero Reviews & Ratings
    37 Ratings
  • Camms GRC Reviews & Ratings
    77 Ratings
  • Intelex Reviews & Ratings
    127 Ratings
  • HSI Donesafe Reviews & Ratings
    144 Ratings
  • Snowflake Reviews & Ratings
    1,417 Ratings
  • ManageEngine EventLog Analyzer Reviews & Ratings
    159 Ratings
  • Atera Reviews & Ratings
    2,901 Ratings

What is IBM Cloud Pak for Watson AIOps?

Begin your AIOps adventure and transform your IT operations with IBM Cloud Pak for Watson AIOps. This cutting-edge platform seamlessly incorporates advanced, explainable AI into the ITOps toolchain, empowering you to thoroughly assess, diagnose, and resolve incidents impacting vital workloads. For those accustomed to IBM Netcool Operations Insight or previous IBM IT management solutions, transitioning to IBM Cloud Pak for Watson AIOps marks an evolution in your current capabilities. It consolidates data from various critical sources to identify hidden anomalies, forecast potential problems, and accelerate resolutions. By addressing risks proactively and automating runbooks, workflows see a remarkable enhancement in efficiency. AIOps tools enable real-time correlation of both structured and unstructured data, allowing teams to maintain focus while obtaining valuable insights and recommendations that seamlessly integrate into current operations. Furthermore, the ability to establish policies at the microservice level facilitates effortless automation across diverse application components, significantly boosting overall operational efficiency. This holistic strategy guarantees that your IT operations are not merely reactive but also strategically anticipatory, paving the way for future advancements in your technological landscape. Embracing this innovative approach positions your organization to respond adeptly to the ever-evolving demands of the digital environment.

What is Google Deep Learning Containers?

Speed up the progress of your deep learning initiative on Google Cloud by leveraging Deep Learning Containers, which allow you to rapidly prototype within a consistent and dependable setting for your AI projects that includes development, testing, and deployment stages. These Docker images come pre-optimized for high performance, are rigorously validated for compatibility, and are ready for immediate use with widely-used frameworks. Utilizing Deep Learning Containers guarantees a unified environment across the diverse services provided by Google Cloud, making it easy to scale in the cloud or shift from local infrastructures. Moreover, you can deploy your applications on various platforms such as Google Kubernetes Engine (GKE), AI Platform, Cloud Run, Compute Engine, Kubernetes, and Docker Swarm, offering you a range of choices to align with your project's specific requirements. This level of adaptability not only boosts your operational efficiency but also allows for swift adjustments to evolving project demands, ensuring that you remain ahead in the dynamic landscape of deep learning. In summary, adopting Deep Learning Containers can significantly streamline your workflow and enhance your overall productivity.

Media

Media

Integrations Supported

Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Hazelcast
Humio
IBM Data Refinery
IBM Fusion
IBM ILOG CPLEX Optimization Studio
IBM Turbonomic
IBM Watson Studio
IBM WebSphere Commerce
Kubernetes
Microsoft Teams
Red Hat OpenShift
Slack
Sysdig Secure

Integrations Supported

Google Cloud Platform
Google Cloud Run
Google Compute Engine
Google Kubernetes Engine (GKE)
Hazelcast
Humio
IBM Data Refinery
IBM Fusion
IBM ILOG CPLEX Optimization Studio
IBM Turbonomic
IBM Watson Studio
IBM WebSphere Commerce
Kubernetes
Microsoft Teams
Red Hat OpenShift
Slack
Sysdig Secure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/cloud-pak-for-watson-aiops

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/ai-platform/deep-learning-containers

Categories and Features

Incident Management

Audit Trail
Corrective Actions (CAPA)
Disaster Recovery
IT Incident Management
Incident Reporting
OSHA Compliance
Root-Cause Diagnosis
Safety Management
Task Management
Ticket Management

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Categories and Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Popular Alternatives

Popular Alternatives

FortiAIOps Reviews & Ratings

FortiAIOps

Fortinet
Autointelli AIOps Platform Reviews & Ratings

Autointelli AIOps Platform

Autointelli Systems