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AI platforms match qualified employees to opportunities
AI in HR recruitment can source talent externally but can also be used to improve internal projects. AI platforms can match qualified existing employees to potential open projects.
News
Pfizer tries deep learning for the life sciences tool
To help automatically categorize drug particle shapes, a Pfizer research team is experimenting with Vyasa, a deep learning platform for the life sciences.
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Expert and author talks AI, data privacy
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology.
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Explore this timeline of AI winters
Past generations have had to deal with rounds of inflated expectations and crushing disappointment when it comes to AI. This timeline charts the history of AI's rises and falls.
Download: Free AI Buyer's Guide
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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AI careers Problem Solve
Inside the rise of data science employee training
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.
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Big data and machine learning Manage
AI platforms match qualified employees to opportunities
AI in HR recruitment can source talent externally but can also be used to improve internal projects. AI platforms can match qualified existing employees to potential open projects.
-
AI case studies News
Pfizer tries deep learning for the life sciences tool
To help automatically categorize drug particle shapes, a Pfizer research team is experimenting with Vyasa, a deep learning platform for the life sciences.
-
Neural networks and deep learning Manage
Explore this timeline of AI winters
Past generations have had to deal with rounds of inflated expectations and crushing disappointment when it comes to AI. This timeline charts the history of AI's rises and falls.
-
AI technologies Evaluate
Expert and author talks AI, data privacy
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology.
-
AI business strategies Manage
An augmented workforce begins with engaged employees
By reusing the data collected for AI algorithms and the insights they generate, enterprises can boost employee performance and improve business processes.
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AI business strategies (2) +
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AI infrastructure (3) +
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AI technologies (4) +
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Artificial intelligence platforms (3) +
Careers in artificial intelligence
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Machine learning platforms (3) +
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What concerns do you have about privacy as the use of facial recognition and other biometric technologies increase?
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Expert and author talks AI, data privacy
The author of a new book on the intersection of advertising and marketing with AI and data privacy talks about influencing the public with technology.
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Reaching the goal of intelligent autonomous systems
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Look at these features to find the right RPA technology
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Computer vision AI looks beyond the narrow into the mainstream
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Problem Solve
Inside the rise of data science employee training
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.
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Migrating to the era of glass box AI
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Fireflies.ai releases free automated transcription
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Berklee picked SnapLogic for intelligent integration
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Professional services firms are quick to adopt AI
Professional services and consulting firms are adopting AI at a rapid rate, even though these types of jobs, which mainly focus on interpersonal interaction, may not seem like strong targets for automation.
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AI platforms match qualified employees to opportunities
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Explore this timeline of AI winters
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An augmented workforce begins with engaged employees
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E-Handbook | May 2019
Computer vision AI looks beyond the narrow into the mainstream
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E-Handbook | March 2019
Data science and machine learning platforms advance analytics
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Buyer's Guide | March 2019
Best machine learning platforms comparison and buyer's guide
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E-Handbook | July 2018
Data science skills spawn success in AI, big data analytics
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360 Guide | July 2017
AI technologies affect all corners of business, IT
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Enterprise Artificial Intelligence Basics
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Today's AI thrives on pattern matching and machine learning
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.
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Get Started
Computer vision AI looks beyond the narrow into the mainstream
This handbook looks at computer vision in the enterprise, with examples of business applications and advice on deploying systems that incorporate the AI technology.
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Get Started
How to apply reinforcement learning AI in the enterprise
Goal-driven AI uses trial-and-error learning methods to find optimal solutions to enterprise problems, while distancing themselves from requiring human maintenance.
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How to start implementing AI in the enterprise
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7 popular AI use cases today
Vendor Resources
- ANZ Businesses Reap Early Success of RPA Adoption –White Paper
- Building Blocks of a Modern Analytics Platform –White Paper
- From The Trenches: A Survey Report –White Paper
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News
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Machine learning modeling
Nuxeo launches Insight Cloud for enterprises
Nuxeo Insight Cloud is an AI platform that enables an enterprise to use its own data with machine learning models to improve accuracy by being enterprise-specific.
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AI technologies
Abbyy intends to make process intelligence investment
With its acquisition of process intelligence software startup TimelinePI, document capture vendor Abbyy streamlines its content analysis and NLP capabilities.
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Data science platforms
Red Hat fashions containers to deliver AI work
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations.