AI integration
Organizations need to update enterprise IT systems to deliver intelligent platforms. Get information about how to integrate AI technologies, such as speech recognition and natural language generation, into existing systems to deliver intelligence platforms across the enterprise.
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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.
AI integration News
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April 10, 2019
10
Apr'19
New Google Cloud AI Platform unifies AI development tools
Google's newly unveiled AI Platform offers AI developers a collaborative environment to test, train and deploy machine learning and deep learning models.
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April 02, 2019
02
Apr'19
$1 billion SAS AI investment recharges vendor's mission
SAS' new AI initiative includes a $1 billion investment and partnership with AI chip vendor Nvidia. The goal is to bring advanced AI tech to end users.
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March 14, 2019
14
Mar'19
AI-enabled network automation supports milliseconds response time
Enterprises need to respond to network and security events in milliseconds, not seconds. Network automation coupled with artificial intelligence tools can help.
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February 11, 2019
11
Feb'19
Web integration platform eases way to machine learning models
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.
AI integration Get Started
Bring yourself up to speed with our introductory content
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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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Data science and machine learning platforms advance analytics
Data science platforms include a variety of technologies for machine learning and other advanced analytics uses. This handbook examines them and how they can be used. Continue Reading
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RPA in banking gives fintech a competitive edge
RPA in banking is setting its sights on fintech and flexible banking to compete with traditional banking. Community banks still see hurdles despite potential to wield RPA. Continue Reading
Evaluate AI integration Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Federated deep learning offers new approach to model training
Training deep learning models puts a massive strain on enterprise infrastructure, but federated learning, which trains models on endpoint devices, could lessen some of the demand. Continue Reading
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Enterprises are crowdsourcing AI development
By crowdsourcing AI development, enterprises can broaden the knowledge base of their machine learning applications, and early adopters are showing promising results. Continue Reading
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Data preparation for machine learning still requires humans
Looking to AI to automate more of your processes? Don't overlook the labor that's still needed to prepare data for training machine learning and AI algorithms. Continue Reading
Manage AI integration
Learn to apply best practices and optimize your operations.
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Data scientists urged to take AI security threats more seriously
AI security hasn't been the top concern of most data scientists using machine learning. But as these systems move closer to the core of the business, security is becoming critical. Continue Reading
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Address anonymity and data privacy in chatbot security
A key to successful enterprise chatbot security is to program your chatbot to recognize personal or sensitive information and treat it accordingly. Continue Reading
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Researchers race for quantum AI as quantum computing advances
Machine learning is likely to be an early application of quantum computers, as researchers and developers look for the key to a more human-like artificial intelligence. Continue Reading
Problem Solve AI integration Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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Common sense AI approaches point to more general applications
The race to attain artificial general intelligence is on. Ranging from predictions of 10 to 200 years away, the one thing experts can agree on is that common sense AI is the next step in the journey. Continue Reading
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Debate over AI in the workforce requires a broad view
Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI. Continue Reading
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Algorithmic bias top problem enterprises must tackle
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading