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Ratings and Reviews 0 Ratings
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SkillfullyRevolutionizing the recruitment landscape, our AI-driven platform employs simulations to showcase candidates' abilities in realistic scenarios prior to their hiring. By eliminating the reliance on artificial intelligence-generated resumes and rehearsed answers, our solution enables businesses to accurately assess genuine skills in action. Prominent organizations such as Bloomberg and McKinsey leverage our targeted job simulations and skill evaluations, achieving a remarkable 50% reduction in screening time while enhancing the quality of their hires. Key Features: - Realistic job simulations that reflect actual job scenarios - AI-enabled verification of both technical and interpersonal skills - Automated processes for early identification of top talent - Effortless integration with applicant tracking systems - Interview guides tailored to performance metrics - Comprehensive insights and analytics on candidates - An impartial evaluation method that minimizes bias The outcomes are impressive, with a 74% decrease in hiring expenses, a 50% acceleration in the recruitment timeline, and a tenfold increase in the rate of candidate conversions, demonstrating the effectiveness of our approach.
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What is IBM Operational Decision Manager?
A comprehensive decision automation platform facilitates the identification, capture, analysis, automation, and governance of rules-based business decisions, whether utilized on-premises or in the cloud. This innovative solution lays out a straightforward path toward effective digital decision-making and intelligent automation. Users can conveniently manage a variety of tasks including discovery, updates, testing, simulations, and deployment without any coding knowledge. The option for on-premises or cloud deployment significantly enhances its versatility. By implementing no-code decision modeling, business users are empowered to express their decision-making processes, craft prototypes, and conduct tests prior to launch. The integrated testing and simulation capabilities allow for validation of business logic against specific use cases and key performance indicators. Furthermore, the platform includes a Cloud Express version designed specifically for organizations needing simpler applications with lower transaction volumes, thus broadening its accessibility for businesses aiming to optimize their decision-making frameworks. This solution ultimately bridges the divide between technical and non-technical users, promoting collaboration and driving innovation across various teams, resulting in improved efficiency and productivity in the long run.
What is IBM Cloud Pak for Data?
A significant challenge in enhancing AI-fueled decision-making is the insufficient use of available data. IBM Cloud Pak® for Data offers an integrated platform featuring a data fabric that facilitates easy connection and access to disparate data, regardless of whether it is stored on-premises or in multiple cloud settings, all without the need to move the data. It optimizes data accessibility by automatically detecting and categorizing data to deliver useful knowledge assets to users, while also enforcing automated policies to ensure secure data utilization. To accelerate insight generation, this platform includes a state-of-the-art cloud data warehouse that integrates seamlessly with current systems. Additionally, it enforces universal data privacy and usage policies across all data sets, ensuring ongoing compliance. By utilizing a high-performance cloud data warehouse, businesses can achieve insights more swiftly. The platform also provides data scientists, developers, and analysts with an all-encompassing interface to build, deploy, and manage dependable AI models across various cloud infrastructures. Furthermore, you can enhance your analytical capabilities with Netezza, which is a powerful data warehouse optimized for performance and efficiency. This holistic strategy not only expedites decision-making processes but also encourages innovation across diverse industries, ultimately leading to more effective solutions and improved outcomes.
Integrations Supported
Datamatics Trade Finance
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM Storage Software Suite
IBM WebSphere Commerce
Integrations Supported
Datamatics Trade Finance
IBM Control Desk
IBM Db2 Big SQL
IBM Db2 Event Store
IBM InfoSphere Information Governance Catalog
IBM Netezza Performance Server
IBM Storage Software Suite
IBM WebSphere Commerce
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$699 per 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/products/operational-decision-manager
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/products/cloud-pak-for-data
Categories and Features
Business Rules Management Systems (BRMS)
Access Control / Permissions
Code Development Environment
Deploy Across Platforms
Flexible Hosting Options
Lifecycle Management
No Code Development
Simulation
Validation Tools
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis