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What is IBM Master Data Management on Cloud?

Organizations can enhance their governance and trust in both customer and product data by leveraging IBM Master Data Management (MDM) on Cloud, which offers multiple deployment models. This strategy not only accelerates workflows and simplifies scalability but also leads to significant cost savings. With a fully managed solution, companies can engage in rapid experimentation and innovation without the complexities of managing infrastructure or administrative tasks. The approach reduces the initial costs of new initiatives, providing affordable entry points and subscription options that help to minimize risks. As a result of faster provisioning and deployment of Master Data Management, businesses are able to focus more on creating innovative solutions. Moreover, IBM MDM on Cloud guarantees high availability and an improved user experience due to its well-optimized infrastructure. Built on the dependable IBM Spectrum® Protect technology, its customizable hardware and software framework allows seamless migration of all or parts of MDM workloads to the cloud. This adaptability not only supports businesses in remaining competitive but also enables them to leverage data effectively in an increasingly data-centric world. Therefore, investing in such advanced solutions positions organizations to succeed in the evolving landscape of data management.

What is Emly Labs?

Emly Labs is an innovative AI framework that aims to make artificial intelligence accessible to individuals with varying levels of technical expertise through its intuitive interface. The platform includes tools for AI project management that automate workflows, resulting in quicker execution of tasks. By fostering collaboration among team members, encouraging innovation, and streamlining data preparation processes without requiring any coding skills, it enhances overall productivity. Additionally, Emly Labs seamlessly integrates external data sources to develop powerful AI models. Emly AutoML further simplifies the process by automating model evaluation and data processing, thereby minimizing the necessity for manual intervention. Transparency is a key focus as the platform features easily understandable AI functionalities alongside thorough auditing processes to ensure compliance with regulations. Security is prioritized through measures such as data isolation, role-based access, and secure integrations. Furthermore, the cost-effective infrastructure of Emly Labs supports on-demand resource provisioning, enables effective policy management, and helps mitigate risks, making it a comprehensive solution for businesses looking to leverage AI technology. This dedication to accessibility and security positions Emly Labs as a leader in the democratization of artificial intelligence.

Media

Media

No images available

Integrations Supported

IBM Storage Protect

Integrations Supported

IBM Storage Protect

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$99/month
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/mdm

Company Facts

Organization Name

Emly Labs

Date Founded

2024

Company Location

India

Company Website

emlylabs.com

Categories and Features

Customer Data Platforms (CDP)

Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Product Data Management

Bill of Material Management
Document Management
Formula Management
Product Analytics
Product Lifecycle Management
Testing Management
Version Control

Categories and Features

Code Collaboration

Audio Conferencing
Chat / Messaging
Code Review
Discussion Threads
IDE Integration
Remote Control
Remote Pair Programming
Screen Sharing
Video Conferencing

Machine Learning

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

No-Code Development

AI-Assisted Development
Business Process Automation
Collaborative Development
Data Aggregation and Publishing
Deployment Management
Drag & Drop
Integrations Management
Iteration Management
Performance Monitoring
Requirements Management
Templates
Visual Modeling
Web / Mobile App Development
Workflow Management

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