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Users grapple with machine learning development hurdles
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process.
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NLP tools power more than just chatbots
Chatbots and virtual assistants are built on sophisticated component pieces, like NLP tools and automated bot technology, which can be implemented on their own in some use cases.
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AI chatbots aim to make stodgy insurance exciting
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations.
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CTO Simon Crosby talks edge intelligence and AI
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more.
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AI careers Manage
New AT&T CDO role to focus on AI and automation
At most companies, the chief data officer role tends to focus on data governance and management issues, but at AT&T, AI is set to be a big part of the executive's remit.
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Data bias runs amok in machine learning
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets.
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Human input on algorithms helps overcome AI uncertainty
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Developing AI for general uses takes built-in curiosity
Today, engineers are developing AI tools primarily for individual applications, but programming a facsimile of curiosity into algorithms could help make them more general purpose.
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What you'll find on SearchEnterpriseAI
SearchEnterpriseAI delivers news, tips and strategic advice on applying artificial intelligence technologies in the enterprise to improve products, services and operations.
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George Lawton asks:
How are you bridging the gap between machine learning development and production?
Find Solutions For Your Project
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Evaluate
Users grapple with machine learning development hurdles
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process.
-
CTO Simon Crosby talks edge intelligence and AI
-
Implementing AI infrastructure
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A look at AI infrastructure and enterprise AI uses
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Problem Solve
Startup breathes new life into life insurance with AI
The insurance industry is buried in paper-based processes. Former MetLife CIO Gary Hoberman aims to change that with a platform that runs on AI and machine vision.
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Manage
AI chatbots aim to make stodgy insurance exciting
Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations.
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An AI voice assistant in every car? Harman says yes
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Developing AI for general uses takes built-in curiosity
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AI virtual assistant software gains edge among bots
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Enterprise Artificial Intelligence Basics
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Get Started
NLP tools power more than just chatbots
Chatbots and virtual assistants are built on sophisticated component pieces, like NLP tools and automated bot technology, which can be implemented on their own in some use cases.
-
Get Started
Intuit takes a limited approach to AI chatbot uses
A data scientist at Intuit details the finance software vendor's approach to building chatbots -- and explains why it's limiting them to some basic customer service activities.
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Get Started
Watch out for bias when implementing AI
When implementing AI, it's important to focus on the quality of training data and model transparency in order to avoid potentially damaging bias in models.
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AI ethics issues
Developers must watch out for bias in AI systems
Despite new development tools to build AI applications, developers must be wary of bias creeping into their systems.
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Machine learning modeling
AI experts: New dev tools broaden AI appeal
New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.
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AI business strategies
AI tools and techniques benefit from business alignment
For enterprises to benefit from AI tools and techniques, experts at AI World stressed that technology needs to be grounded by a tight focus on how it can improve business goals.