Help Desk

Web and Video Conferencing

Customer Support

Flowchart

Version Control

Virtual Reality

Development

Business Intelligence (BI)

Collaboration

Unified Communications as a Service (UCaaS)

Enterprise

Accounting

Crypto Tax

Spend Management

Tax Compliance

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

International Payroll

On-Demand Payment

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

.Net Development

API Management

Asset Tokenization

Cloud Storage

Component Content Management

Fraud Detection

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Load Testing

Managed Public Cloud Infrastructure

Migration

Network Performance Monitoring

Penetration Testing

Privileged Access Management

Relational Database Management Systems

Remote Monitoring and Management

Secure Email Gateway

Software Components

User Activity Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Conversion Rate Optimization

Data Cleansing

Data Management

Digital Experience Platforms (DXP)

Email Marketing

Location Intelligence

Marketing Automation

Online Reputation Management

Search Marketing Intelligence

Social Media Management

Social Media Publishing

Survey & Forms Building

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Point of Sale

Revenue Operations

Sales Forecasting

Sales Pipeline

Sales

Car Rental

Church Management

Commercial Drone

Construction Accounting

Geographic Information

Insurance Agency Management

Physical Therapy

Retail Execution

Vertical-Specific

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IBM Machine Learning for z/OS® brings AI to transactional applications on IBM zSystems. It can embed machine learning and deep learning models to deliver real-time insight, or inference every transaction with minimal impact to operational SLAs.

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

Qlik Sense Enterprise on Windows

Standard

Premium

Starter

Qlik Sense

Starter Tier

Business Tier

Enterprise Tier

Free Tier

Anaconda

IBM Machine Learning for z/OS

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Machine Learning

Likelihood to Recommend

Support Rating

IBM is a global technology and innovation company headquartered in Armonk, NY.  It is one of the largest technology and consulting employers in the world, with approximately 427,000 employees serving clients in 170 countries. IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and advanced servers and supercomputers. Utilizing its business consulting, technology and R&amp;D expertise, IBM says it helps clients become "smarter" as the planet becomes more digitally interconnected. This includes working with organizations and governments to build systems that improve traffic congestion, availability of clean water, and the health and safety of populations. IBM invests more than $6 billion a year in R&amp;D, just completing its 18th year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame. The company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

Ahrefs

CITO (Chief Information Technology Officer)

IBM Watson Machine Learning 2022-06-10 03:27:45

SAP Concur

Emburse Chrome River

Microsoft Teams

Business Strategy & Transformation Lead (Operations)

IBM Watson Assistant 2020-01-21 12:24:54

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Ibm watson

Rest api

Api documentation

Little costly

Easy to use

Easy integration

Business intelligence

Self learning

Data driven

Business data

Driven decisions

Data driven decisions

Learning tool

Home

Machine Learning Tools

I was looking for an easy-to-use AI-based model for my business and the first thing that caught my eye was the free trial. I used it to keep track of my customers' purchases. The best part is that it's free to try so you can see for yourself how it can help you. And the best part about IBM Watson Machine Learning is that this is a platform that can help you build your own self-learning model and scale it as you grow. And because it is based on deep learning, you will be able to get the most out of this technology as it learns from your data and your outcomes. You can use Watson Machine Learning to apply AI to your products, services, and business strategies in ways that are scalable and affordable.

Self learning scalable Models.
Easy to use.
Affordable
More accurate and efficient.
Prevent security breaches.
Helps to make data driven decisions.

Proper usage of REST API documentation is missing.
Not localization friendly, cannot support regional or local language documents.

Automate repetitive tasks.
Predict future trends.
Free to try.

Create secure business environment.
Save upto 90% of manual labor.
Improve my sales and marketing ROI.

We have done a pilot on IBM Watson Machine Learning to solve our Power Management Problem, Pipeline Optimization, and a few other use cases. This pilot has been running for the last 1 year. We have started to test it in phases whereby we develop a business case, test the solution, and eventually check expansion opportunities.

Good machine learning tool
Easy integration

IBM Watson Machine Learning delivery is challenging
IBM Watson's deployment business skill gap

Microsoft Teams, Chrome River EXPENSE, Concur Travel and Expense

IBM Machine Learning for z/OS

Overview

What is IBM Machine Learning for z/OS?