AI case studies

If you're considering artificial intelligence technologies and need some inspiration from companies that have already put it to work, you've come to the right place. Here you'll find AI case studies explaining how machine learning, natural language processing, facial recognition and artificial intelligence software changes the game for enterprises.

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AI case studies News

March 26, 2020 26 Mar'20
AI in procurement creates searchable, sorted data

Canadian startup Tealbook uses NLP and machine learning to automatically create sorted and searchable supplier data, enabling its customers to spend less time looking for data and more time using it.
March 19, 2020 19 Mar'20
Using automated machine learning for AI in insurance

Using dotData, an automated machine learning vendor, one of the largest insurance firms in Japan built out an AI platform that provides a personalized experience to customers.
February 27, 2020 27 Feb'20
Customer experience chatbot provides answers

Upwork has slowly been rolling out a customer experience chatbot service from vendor Ada, which it uses in conjunction with Zendesk to help provide customers with support.
February 25, 2020 25 Feb'20
Forest fire sensors and AI help detect fires in Chile

Entel Ocean uses DataRobot's automated machine learning platform, as well as IoT sensors, to automatically detect forest fires in Chile. The platform can detect fires faster than manual counterparts.

AI case studies Get Started

Bring yourself up to speed with our introductory content

Role of AI in healthcare applications is more aggressive, invasive

AI has proved successful in radiology for disease detection, but most early applications are in nonclinical areas like back-office automation and medication development. Continue Reading
Data visualization process yields 360 AI-driven analytics view

Data visualization tools find increasing uses as part of AI processes to explore data in the initial stages of model development and make outputs easier to digest. Continue Reading
8 factors that make AI storage more efficient

AI workloads need storage optimized for performance, capacity and availability. Discover everything you'll want to consider when planning storage for AI applications. Continue Reading

Evaluate AI case studies Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

How stock market prediction using AI impacts the trading floor

Robo-advisors and stock monitoring bots are changing the way traders and investors take on the stock market. Continue Reading
Autonomous retail cuts operational costs, personalizes shopping

Companies are starting to deploy popular AI technologies like RFID, facial recognition and sensor tracking to provide consumers with autonomous shopping experiences. Continue Reading
Evaluate your machine learning and AI data storage requirements

Learn how your business can use high-performance and long-term data storage to address data storage requirements for its AI and machine learning workloads. Continue Reading

Manage AI case studies

Learn to apply best practices and optimize your operations.

How to identify projects that create AI business value

When AI projects lead with technology, they rarely have a business impact. Instead, business leaders should target projects to make a meaningful improvement in processes. Continue Reading
Engage employees for successful enterprise AI strategy creation

Existing employees are in the best position to suggest process improvements through automation, and executives need to utilize the employee experience to drive AI strategy. Continue Reading
AI usage in healthcare upgrades imaging, analytics, automation

Computer vision, deep learning and automation are making greater inroads into radiology, robot-assisted surgeries, virtual nursing assistants and fraud detection. Continue Reading

Problem Solve AI case studies Issues

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Supervise data and open the black box to avoid AI failures

As AI blooms, marketers and vendors are quick to highlight easy positive use cases. But implementation can -- and has -- gone wrong in cases that serve as warnings for developers. Continue Reading
Building a better conversational AI assistant requires emotion

Industry after industry is seeing benefits from chatbot implementation, but customers and developers are looking toward a future of more connected, intelligent conversational agents. Continue Reading
Automatic meeting transcription records business sessions

By using an automated transcription platform from Fireflies.ai, employees at Zenatta Consulting can more easily find and read transcripts from important client calls. Continue Reading