Use the Business Value Assessment to uncover the relative magnitude of value you can extract from investing in data science and AI.
By assessing the value of AI for your business, you build a business case for investing in machine learning and optimization techniques to drive business goals. The interactive tool helps determine financial benefits and ways to achieve your objectives by analyzing your best practices and details about your business, industry and IT environment.
Use the results to
Learn how IBM data science and artificial intelligence solutions can help your business modernize operations.
IBM provides data science and AI solutions for a wide variety of verticals. The following summaries explain value drivers (e.g. revenues, costs and risk management) that these solutions can drive for specific industries.
Solving customer experience challenges provides a clear entry point for seeing the value of AI. Provide the following details see what AI can do for you in this area.
Baseline number of transactions per day (current operational limit)
Average net value (profit) per transaction
Potential value with reduced transaction time using IBM AI solutions (%)
Current churn rate (%)
Potential improvement in retention using IBM AI solutions (%)
# of full-time equivalents (FTEs)
Hours saved annually (per FTE)
Differentiating Capabilities | Low |
Med |
High |
Data preparation | |||
Data visualization | |||
Model development | |||
Model management | |||
Model deployment | |||
Retraining | |||
Model Visibility and explainability | |||
Productivity and automation | |||
Decision optimization | |||
Visual Recognition and Natural Language Classifier |
Have a machine learning use case? Would you like to estimate the value of your use case with this business value assessment tool? IBM can help you quantify the value of deploying AI into your business. Get one on one time with IBM’s AI and machine learning expert to discuss your ideas and needs.
Schedule consultation nowVisit Watson Studio and Watson Machine Learning sites.
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