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https://github.com/faktionai/awesome-ai-usecases
A list of awesome and proven Artificial Intelligence use cases and applications
https://github.com/faktionai/awesome-ai-usecases
data-science machine-learning
Last synced: 2 months ago
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A list of awesome and proven Artificial Intelligence use cases and applications
- Host: GitHub
- URL: https://github.com/faktionai/awesome-ai-usecases
- Owner: JosPolfliet
- Archived: true
- Created: 2016-10-20T19:41:37.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2024-01-04T11:45:43.000Z (11 months ago)
- Last Synced: 2024-06-04T19:10:06.408Z (6 months ago)
- Topics: data-science, machine-learning
- Homepage: https://www.faktion.com
- Size: 18.6 KB
- Stars: 645
- Watchers: 54
- Forks: 83
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
Awesome Lists containing this project
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README
# Awesome Artificial Intelligence use cases
A curated list of amazingly awesome AI ideas and use cases.
You can use this to get new ideas and share existing ones.What makes them so _awesome_? All these ideas should be proven to actually generate value, not just 'cool facts' or 'promising techniques'. They should be applicable to business now, with data and techniques that are available today. For example: an [AI that plays video games](http://www.wired.co.uk/article/google-deepmind-atari), or analyzing [heavy metal song lyrics](http://www.degeneratestate.org/posts/2016/Apr/20/heavy-metal-and-natural-language-processing-part-1/) is cool, but it doesn't translate into a meaningful and useful application, so it does not belong here.
## Contents
[Use cases by department](#use-cases-by-department)
- [Call center](#call-center)
- [Human Resources](#human-resources)
- [Finance](#finance)
- [IT](#it)
- [Marketing](#marketing)
- [Sales](#sales)
- [Supply chain](#supply-chain)[Use cases by industry](#use-cases-by-industry)
- [Banking](#banking)
- [Healthcare](#healthcare)
- [Insurance](#insurance)
- [Life sciences](#life-sciences)
- [Manufacturing](#manufacturing)
- [Public Safety](#public-safety)
- [Retail](#retail)
- [Telecommunications](#telecommunications)
- [Travel](#travel)
## Use cases by department
### Call center
- Automation
- Call volume forecasting
- Next best action
- Real time sentiment analysis
- Real time compliance risk
- Real time suggestions and optimization
- Script adherence
- Script optimization
- Skill based routing
- Voice authentication### Human Resources
- [Competency forecasting](http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2389.1993.tb00083.x/full)
- [Employee churn analytics](http://www.predictiveanalyticsworld.com/patimes/employee-churn-201-calculating-employee-value/3321/)
- [Employee performance analytics](http://www.halogensoftware.com/blog/employee-performance-data-the-most-underused-data-set-in-hr)
- [Network analytics on employee interactions](http://lcs.ios.ac.cn/~shil/paper/Smallblue_PIEEE.pdf)
- [Resume matching, preselection and tagging](https://www.quora.com/What-is-the-best-algorithm-to-match-resumes-with-jobs)
- [Workforce planning](https://www.slideshare.net/wayneraw/workforce-planning)### Finance
- Cost analytics
- [Fraud detection](https://en.wikipedia.org/wiki/Data_analysis_techniques_for_fraud_detection)
- Waste and abuse detection### IT
- [Component quality analytics](https://www.backblaze.com/blog/hard-drive-reliability-stats-q1-2016/)
- [Cybercrime detection](http://www.sas.com/en_be/software/fraud-security-intelligence/cybersecurity-solutions.html)
- [Server performance monitoring and alerting](http://www.coscale.com/)
- Incident management tickets [automatic routing and reply](https://www.channele2e.com/2016/12/23/automate-trouble-ticketing-management-with-natural-language-processing/) or [clustering](https://link.springer.com/chapter/10.1007/978-3-319-46295-0_58)### Marketing
- [Churn/Customer attrition](https://en.wikipedia.org/wiki/Customer_attrition#prediction)
- [Customer segmentation](https://ds4ci.files.wordpress.com/2013/09/user08_jimp_custseg_revnov08.pdf)
- [Life Time Value](https://dataorigami.net/blogs/napkin-folding/18868411-lifetimes-measuring-customer-lifetime-value-in-python)
- [Personalized advertising](http://ieeexplore.ieee.org/document/7273289/)
- [Product recommendation engines](http://www.kdnuggets.com/2015/10/big-data-recommendation-systems-change-lives.html) using recommendation engines
- [Marketing Optimization](http://www.marketingoptimizer.com/marketing-optimization/)
- [Social Media Analytics](https://cran.r-project.org/web/packages/SocialMediaLab/)
- [Text Analytics on customer complaints](https://dev.socrata.com/blog/2016/05/03/natural-language-with-sodapy-and-algorithmia.html)### Sales
- [Cross-sell opportunities](https://www.analyticsvidhya.com/blog/2015/08/learn-cross-selling-upselling/) using propensity models
- [Lead scoring](http://marketingland.com/maximizing-lead-scoring-analytics-use-big-data-b2b-101956)
- [Price elasticity](https://support.sas.com/rnd/app/ets/examples/simpelast/index.htm)
- [Revenue forecasting](http://analytics.ncsu.edu/sesug/2007/PO10.pdf) or [Kaggle](https://www.kaggle.com/c/rossmann-store-sales)### Supply chain
- [Demand forecasting](https://www.slideshare.net/vishnuvsvn/demand-forecasting-in-supply-chain)
- [Gas purchase optimization](http://pubsonline.informs.org/doi/pdf/10.1287/opre.40.3.446)
- [Inventory forecasting](https://hbr.org/1971/07/how-to-choose-the-right-forecasting-technique)
- [Optimal routes](http://www.sciencedirect.com/science/article/pii/S22125671163004780)
- [Warehouse location optimization](https://en.wikipedia.org/wiki/Weber_problem)
## Use cases by industry
### Banking- Basel II compliance
- Credit scoring
- Risk management
- Stress testing### Healthcare
- Efficiency of care delivery
- Overconsumption
- Readmissions
- Reducing outcome variation### Insurance
- Catastrophe modelling
- [Claims recovery prioritization](https://cdn2.hubspot.net/hubfs/2176909/Elder-Research-Case-Study-Prioritizing-Long-Term-Care-Claims.pdf)
- [Claims processing automation](http://www.lexmark.com/en_us/solutions/financial-process-automation/terminology/claims-processing/insurance-claims-processing.html)
- [Damage estimation automation](http://www.repairerdrivennews.com/2016/10/11/tractable-ceo-says-ai-will-assess-vehicle-damage-for-mitchell-company-specializes-in-ai-photo-analysis/)
- [Fraud detection](http://www.jstor.org/stable/3182781)
- [Litigation prediction](http://www.propertycasualty360.com/2014/08/22/using-predictive-analytics-in-litigation-managemen?slreturn=1483353120)
- [Pricing using telematics](https://lirias.kuleuven.be/handle/123456789/552745)
- Solvency II and ORSA compliance
- [Risk analytics](https://en.wikipedia.org/wiki/Analytics#Risk_analytics)### Life sciences
- Design of experiments
- [R&D portfolio optimization](http://www.athlycs.be/portfolio-insight)### Manufacturing
- [Predictive Asset Maintenance](http://www.genesissolutions.com/asset-management-to-be-a-key-in-internet-of-things-manufacturing-deployments/)
- [Quality control](http://necsi.edu/affiliates/braha/IEEE-Cleaning_02.pdf)### Public Sector
#### Public Safety
- Crime Wave Detection
- Patrolling Suggestions (Preventative Policing)
- Crime Case Resolution Prediction
- Crime Clustering
- Complex/Organised Crime network detection
- Terrorist Cell Identification
- Alerting & Officer Safety
- Criminal Evolution
- Domestic Violence
- Radicalisation prediction
- [Mass scale surveillance](https://en.wikipedia.org/wiki/PRISM_(surveillance_program))#### Finance and Tax
- [Budget planning and simulation](https://www.edx.org/course/macroeconometric-forecasting-imfx-mfx-0)
- [Customs fraud detection](http://ieeexplore.ieee.org/document/1167400/)
- [Tax audit triage](https://the-modeling-agency.com/triage-for-tax-auditstm/)### Retail
- Distribution centre optimization
- Employee fraud detection
- Market basket analysis
- Plannogram optimization
- SKU forecasting
- Waste### Telecommunications
- Asset performance analytics
- Cell phone tower location optimization
- Predictive maintenance
- Routing optimization### Travel
#### Hotels
- Dynamic pricing
- Room occupancy planning## License
[![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)](http://creativecommons.org/licenses/by/4.0/)
This work is licensed under a [Creative Commons Attribution 4.0 International License](http://creativecommons.org/licenses/by/4.0/).