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
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July 19, 2019
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Jul'19
Agricultural equipment maker uses AI for customer experience
Using AWS services Redshift, S3 and SageMaker, as well as third-party tools, AGCO has created new AI marketing tools and a customer portal to better compete in a tight market.
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July 19, 2019
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Jul'19
AI for digital marketing heavily used in the gaming industry
AI in gaming has evolved beyond automating character and fictional world development. Gaming companies are now using AI to better market to existing and potential players.
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July 18, 2019
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Jul'19
AI in financial services helps speed consumer interaction
By using AI in finance, financial organizations are able to speed processes that otherwise would require more manual input from employees or consumers.
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July 12, 2019
12
Jul'19
Automated transcription services for adaptive applications
NLP technologies have advanced in recent years. Using them, startups have been able to create automatic transcription software for adaptive applications.
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Digital finance technologies at epicenter of CFO transformations
Technologies like AI, analytics, bots, big data and blockchain could transform the finance function into a valued strategic partner for companywide digital transformation. Continue Reading
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3 ways to create an AI ethics framework for responsible tech
AI can often reflect the biases and limits of its human developers. Experts say diversity, review boards and a strong AI ethics framework will lead the way toward ethical AI. Continue Reading
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Enterprise AI collaboration tools take tips from dating apps
Enterprise AI collaboration is turning to an unlikely source for inspiration: dating apps that have long used machine-learning based personalization and communication. Continue Reading
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AI in the legal industry focuses on augmenting research
From billable time invoice generation to patent attribute data mining, the implementation of AI in law firms has aided in reducing low-value, time-consuming paralegal work. Continue Reading
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Inventory optimization machine learning tool sharpens pricing
Retailers are chasing data-driven process automation in hopes of boosting sales and streamlining margins. But how do you decide which processes to automate or vendor to implement? Continue Reading
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DroneBase uses analytics-powered freelance payment system from Qwil
DroneBase uses Qwil, vendor of an analytics-based payroll and payments system, to automatically manage and pay the freelance drone pilots who use the DroneBase platform. Continue Reading
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How to wield the tools of AI in Agile project management
Building an Agile enterprise prioritizes transparency and teamwork in the quest for operational efficiency. AI and machine learning can augment and bolster Agile teams. Continue Reading
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AI network security tool autonomously does microsegmentation
To ensure network security, a U.S. law firm has turned to automated network microsegmentation vendor Edgewise. The startup uses machine learning to deploy microsegmentation. Continue Reading
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Wield AI to personalize consumer products and aid logistics
Companies using AI to sell consumer products seek brand loyalty by using personalization, online sales capabilities and optimized inventory management Continue Reading
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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
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Berklee uses SnapLogic for its AI in higher education needs
Berklee College of Music needed intelligent integration for its two student portals after a merger with the Boston Conservatory. The college chose SnapLogic to connect the systems. Continue Reading
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Clean data for machine learning is key to successful AI
Many enterprises think their AI projects should start with massive amounts of data. But clean data for machine learning should be their first step toward AI. Continue Reading