Enterprise applications of AI

A large percentage of enterprises have already implemented some type of artificial intelligence software to improve their business, be it chatbots for customer service or machine learning for predictive analytics. On this page, you'll find information about those enterprise applications of AI and many more emerging uses of AI.

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Enterprise applications of AI News

August 21, 2019 21 Aug'19
With ThoughtSpot, GlobalTranz makes AI in logistics platform

GlobalTranz, a logistics company, uses AI and analytics in logistics to predict driver behaviors and plan shipping routes that will keep the shippers and the drivers happy.
August 16, 2019 16 Aug'19
Bibb County School District cybersecurity efforts use AI

Using AI-driven cybersecurity from ManagedMethods, a Georgia school district blocks external threats and identifies potentially harmful language in student documents.
August 09, 2019 09 Aug'19
Despite losses, DeepMind technologies are worth it to Alphabet

Alphabet's DeepMind company loses millions of dollars each year, but it appears the research firm’s AI advances are so valuable that Alphabet finds it worthwhile anyway.
August 08, 2019 08 Aug'19
Enterprises should start developing an AI ethics framework

As enterprises begin to deploy AI, they should focus on AI and ethics issues, as well as data privacy, and begin to create policies and guidelines around them.

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Enterprise applications of AI Get Started

Bring yourself up to speed with our introductory content

AI converts consumer analytics into potent sales weapons

Surveys, social media monitoring and loyalty cards are just some of the ways to collect customer data. Consumer analytics can help businesses analyze that data. Continue Reading
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
How pattern matching in machine learning powers AI

Pattern matching may sound like a simple idea, but it's being used to create some highly advanced AI tools, powering everything from image recognition to natural language applications. Continue Reading

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Evaluate Enterprise applications of AI Vendors & Products

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

3 GAN use cases that showcase their positive potential

GANs' ability to create realistic images and deepfakes have caused industry concern. But, if you dig beyond fear, GANs have practical applications that are overwhelmingly good. Continue Reading
Chatbots in customer service find success with focused goals

Chatbots can be a great adjunct to customer service, but a successful rollout requires careful planning, flexibility and clear objectives. Continue Reading
Wayfair takes a dip into NLP image processing technology

At Wayfair, using computer vision and NLP to understand the meaning behind images and searches is the key to customer recommendation, satisfaction and easy substitutability. Continue Reading

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Manage Enterprise applications of AI

Learn to apply best practices and optimize your operations.

How Oracle RPA systems can automate business tasks for users

Robotic process automation software can be integrated into Oracle environments to help strengthen business operations by augmenting workers with software robots. Continue Reading
GPU analytics speeds up deep learning, other data insights

GPU-based systems have become a popular platform for deep learning applications, and they're now also being used to accelerate analysis of IoT and geospatial data. Continue Reading
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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Problem Solve Enterprise applications of AI Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

The future scope of chatbots begins with addressing flaws

Chatbots are hot software in the enterprise, but to maintain longevity and relevance, developers need to take a look at the barriers to entry, interface options and NLP issues. Continue Reading
Mastercard CTO talks AI for fraud prevention, data and hiring

Kush Saxena, CTO of Mastercard, answers three questions about his company's use of AI fraud prevention technology, machine learning and driving commercial value from data at the MIT CIO Symposium. Continue Reading
How to overcome the data scientist shortage

The industrywide data scientist shortage is leading companies like Schneider Electric to look internally for employees with a technical background and invest in training them. Continue Reading

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