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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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.

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Enterprise applications of AI News

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.
February 13, 2020 13 Feb'20
Customer experience vendor benefits from AI in forecasting

Using Anodot, customer experience software vendor Gainsight can automatically surface anomalies in its data and fix them, often before they become major problems.
February 06, 2020 06 Feb'20
Social media marketing vendor uses sentiment analysis

Falcon.io, a social media marketing vendor, turned to AI vendor Lexalytics to add automatic social media sentiment analysis capabilities to its platform.
January 31, 2020 31 Jan'20
Microsoft launches AI for Health initiative

Microsoft's new health AI initiative may do some good for partner nonprofit and academic healthcare groups, but it may raise some data privacy concerns as well.

Enterprise applications of AI Get Started

Bring yourself up to speed with our introductory content

Ignoring infrastructure leads to major challenges for AI adoption

While companies are stuck in the research phase of AI, a few simple infrastructure analyzations can jumpstart the process -- and ensure successful deployment. Continue Reading
What Is RPA? Everything You Need to Know

Robotic process automation technology is software that can be trained to mimic routine, labor-intensive tasks performed by humans. Continue Reading
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

Evaluate Enterprise applications of AI 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
Standards for data sharing should guide AI government regulation

The White House has taken a deregulatory approach to AI and aims to inspire innovation. An expert weighs in on the role of government in AI and where the industry stands. Continue Reading
Weigh these RPA benefits and challenges against APIs

APIs are a safe, reliable way for applications to execute a workflow. But they're not always available. Here's how to craft an integration strategy around APIs, RPA and even people. Continue Reading

Manage Enterprise applications of AI

Learn to apply best practices and optimize your operations.

AI-driven cybersecurity teams are all about human augmentation

AI is often associated with technology replacing humans. In the case of AI-based cybersecurity teams, however, AI will augment its human counterparts, not supplant them. Continue Reading
7 hurdles to using AI in accounting and finance

Setting realistic expectations and using the same quality control measures that employees must follow can ensure success when you apply AI to financial data and processes. Continue Reading
The future state of machine learning needs improved frameworks

Utilizing machine learning in the collection and processing of data would most likely lead to more widespread adoption of AI based on the technology. Continue Reading

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.

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
Predictive storage analytics and AI make storage smarter

Intelligent storage is all the rage. Discover how predictive analytics for storage, AI and machine learning makes storage infrastructure more flexible and cost effective. Continue Reading
Compliance analytics helps data storage meet PII standards

Organizations are using predictive analytics and AI to sift through large data sets to ensure that any data stored is compliant with all personally identifiable information rules. Continue Reading