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IBM Decision Optimization description
IBM Decision Optimization helps businesses make complex decisions with more confidence. Using advanced math and AI, it analyzes massive amounts of data to recommend the very best options, even with tons of variables and limitations. Think of it like a superpowered spreadsheet that calculates the optimal solution for things like planning, scheduling, and resource allocation. IBM Decision Optimization has a proven track record, is used by various industries, and integrates with IBM's data science platform, Watson Studio.
Who is IBM Decision Optimization best for
We find that IBM Decision Optimization is ideal for large enterprises tackling complex optimization challenges. Users appreciate its powerful capabilities and seamless integration with tools like Watson Studio. Keep in mind that some users find the pricing challenging, especially for smaller businesses, and the learning curve can be steep.
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Great for companies 1001+ employees seeking advanced analytics and seamless data science platform integration.
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Suited for Transportation, Logistics, Finance, Banking, Insurance and Manufacturing looking for optimization.
IBM Decision Optimization features
Supported Automated AI lifecycle management: Build and train models with AutoAI, and deploy and monitor models with Watson Machine Learning. Automate Al lifecycles with tools designed for data scientists, application developers, business analysts, and subject matter experts. Use open-source tools or visual drag-and-drop tools in a collaborative environment. |
Supported Connect to data anywhere: Access data from virtually any data source, including on-premises and across multiple clouds. Connect your data with a wide variety of data connectors. Connect to your favorite open-source tools for data preparation and transformation. |
Supported Operationalize Al: Empower your data science teams with best practice methodologies and integrated tools to quickly build and scale models, infuse trusted Al into production workflows, and monitor and manage models in production for continuous operationalization. |
Supported Open-source framework integration: Bring together open-source frameworks like PyTorch, TensorFlow and scikit-learn with IBM and its ecosystem tools for code-based and visual data science. Work with Jupyter notebooks, JupyterLab and CLIs — or in languages such as Python, R and Scala. |
Supported Data visualization and reporting: Visualize data relationships, create dashboards, and generate reports. Combine reports and dashboards into dynamic stories that make it easy to share your findings with business users. |
Supported Connect to various data sources: Access a wide range of data connectors to connect to various data sources, both on-premises and in the cloud. Use these connectors to bring data into Watson Studio for analysis and model building. |
Supported Collaborative environment: Empower your teams to work together seamlessly with integrated tools and a collaborative environment. Share code, data, and insights, enabling faster and more efficient model development. |
Supported SPSS Modeler integration: Utilize SPSS Modeler flows within Watson Studio to leverage statistical modeling and machine learning capabilities for building predictive models. |
Supported Decision optimization: Access and leverage a variety of decision optimization tools and techniques within Watson Studio, including CPLEX and DOcplex, to model and solve complex business problems. |
Supported Enterprise-grade security and compliance: Watson Studio enables enterprise-grade security and compliance by integrating with IBM Cloud Pak for Data, which provides a secure and governed environment for AI model development and deployment. |
IBM Decision Optimization reviews
We've summarised 41 IBM Decision Optimization reviews (IBM Decision Optimization G2 reviews) and summarised the main points below.
- User-friendly interface.
- Powerful optimization capabilities, handles large datasets.
- Helpful community of experts and users.
- Flexible, covers a wide variety of problems.
- Integrates well with other IBM tools like Watson Studio.
- Difficult to debug unexpected results.
- IBM personal site and support are difficult to deal with.
- High pricing, especially for smaller businesses.
- Limited customization options.
- Steep learning curve, requires training.
IBM Decision Optimization alternatives
IBM ILOG CPLEX Optimization StudioSolves complex business problems with powerful optimization.Read more
Ideagen DiscloseAutomated disclosure checklist software ensuring accurate financial reports.Read more
Ideagen PleaseReviewEffortless proposal collaboration with version control and audit trails.Read more
IBM Decision Optimization FAQ
We find that IBM Decision Optimization helps businesses make better decisions by analyzing data and recommending optimal solutions. It uses advanced math and AI to handle complex scenarios with many variables and constraints, useful for planning, scheduling, and resource allocation. It integrates with Watson Studio.
What is IBM Decision Optimization and what does IBM Decision Optimization do?
We find that IBM Decision Optimization helps businesses make better decisions by analyzing data and recommending optimal solutions. It uses advanced math and AI to handle complex scenarios with many variables and constraints, useful for planning, scheduling, and resource allocation. It integrates with Watson Studio.
We find IBM Decision Optimization integrates seamlessly with IBM's data science platform, Watson Studio, and other tools within its ecosystem. It also supports various open-source frameworks like PyTorch and TensorFlow.
How does IBM Decision Optimization integrate with other tools?
We find IBM Decision Optimization integrates seamlessly with IBM's data science platform, Watson Studio, and other tools within its ecosystem. It also supports various open-source frameworks like PyTorch and TensorFlow.
We find that top alternatives to IBM Decision Optimization include SAS Optimization and IBM ILOG CPLEX Optimization Studio. These also offer robust optimization solutions for complex business problems. Other options, like Ideagen's suite of products, focus on different aspects of business management, not directly on optimization.
What the main competitors of IBM Decision Optimization?
We find that top alternatives to IBM Decision Optimization include SAS Optimization and IBM ILOG CPLEX Optimization Studio. These also offer robust optimization solutions for complex business problems. Other options, like Ideagen's suite of products, focus on different aspects of business management, not directly on optimization.
Yes, IBM Decision Optimization is a legitimate product. It's a powerful tool used by many companies to tackle complex decisions. We find it particularly helpful for large enterprises with intricate planning needs.
Is IBM Decision Optimization legit?
Yes, IBM Decision Optimization is a legitimate product. It's a powerful tool used by many companies to tackle complex decisions. We find it particularly helpful for large enterprises with intricate planning needs.
I'm sorry, but pricing information for IBM Decision Optimization is not available at this time. Contact IBM directly to get a customized quote for your specific needs.
How much does IBM Decision Optimization cost?
I'm sorry, but pricing information for IBM Decision Optimization is not available at this time. Contact IBM directly to get a customized quote for your specific needs.
We find IBM Decision Optimization's customer service to be generally positive. Users appreciate the support and expertise provided by IBM throughout project implementation. However, some users desire more assistance with troubleshooting and fine-tuning the software.
Is IBM Decision Optimization customer service good?
We find IBM Decision Optimization's customer service to be generally positive. Users appreciate the support and expertise provided by IBM throughout project implementation. However, some users desire more assistance with troubleshooting and fine-tuning the software.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.