Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Facilitate collaboration between data scientists and application developers on machine learning initiatives. Create, load, enhance, and evaluate models and their integrations prior to making them accessible to end-users for incorporation into active applications. Alleviate the workload of data science teams and enhance decision-making processes by enabling the storage and sharing of machine learning models throughout the organization. Automatically disseminate updates to ensure that modifications to models in production are promptly reflected. Boost operational efficiency by delivering machine learning-driven insights directly within any web-based business application. Our user-friendly, drag-and-drop browser extension allows analysts and business users to seamlessly incorporate models into any web application without the need for coding, thereby democratizing access to advanced analytics. This approach not only streamlines workflows but also empowers users to make data-driven decisions with confidence.
Description
IBM Decision Optimization Center offers a customizable platform designed to assist business decision-makers, including scientists, developers, analysts, planners, and schedulers. By leveraging advanced analytics, it effectively addresses complex planning and scheduling issues, minimizing the effort, time, and risk involved in creating tailored solutions for business enhancement. Implement this platform to facilitate more informed decision-making and boost ROI by integrating data and analytics with state-of-the-art optimization technologies. Translate data insights into actionable business strategies through its prescriptive analytics features. Experience rapid, dependable solutions with IBM's enterprise-grade optimization tools, and quickly improve the application with pre-built components and integrated visualization options. Benefit from a flexible, standards-compliant architecture that allows for effortless mapping of databases into application data tables. Additionally, control access to the application’s functionalities based on user-specific profiles, ensuring a secure and tailored experience for all users. This comprehensive approach enables organizations to optimize their operations and drive significant improvements in performance.
API Access
Has API
No
API Access
Has API
No
Integrations
Apache Spark
Yes
AveeCare
Yes
Microsoft 365
Yes
Oracle Artificial Intelligence
Yes
PyTorch
Yes
QuickBooks Online
Yes
SAP Integration Suite
Yes
Salesforce
Yes
Steams Online
Yes
Tableau
Yes
Integrations
Apache Spark
No
AveeCare
No
Microsoft 365
No
Oracle Artificial Intelligence
No
PyTorch
No
QuickBooks Online
No
SAP Integration Suite
No
Salesforce
No
Steams Online
No
Tableau
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
AI Squared
Founded
2021
Country
United States
Website
squared.ai/
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/cloud/decision-optimization-center
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
Integration
Dashboard
No
ETL - Extract / Transform / Load
No
Metadata Management
No
Multiple Data Sources
No
Web Services
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No