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How neural network training methods are modeled after the human brain
Training neural nets to mirror the human brain enables deep learning models to apply learning to data they've never seen before.
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DataRobot AI Cloud gives users multi-cloud capabilities
DataRobot unveiled its cloud, giving users access to technologies and applications the vendor obtained with a series of recent and older acquisitions.
News
Tableau and DotData partner on AI automation, visualization
Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building.
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Model optimization methods to cut latency, adapt to new data
This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning.
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AI careers Manage
4 AI career path trajectories for IT professionals
As the desire for AI and machine learning in-house skills skyrocket, those looking to break into the market have a variety of career path options, including AI architect and BI developer.
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Big data and machine learning Get Started
How do big data and AI work together?
Enterprises are leaning on big data to train AI algorithms and, in turn, are using AI to understand big data. The results are pushing operations forward.
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AI case studies News
L'Oréal to 'revolutionize' beauty services using Google Vertex
ModiFace says it will save many hours developing AI algorithms by exploiting the compute power and AI tools of Google Vertex to create digitized beauty services.
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Neural networks and deep learning Evaluate
How neural network training methods are modeled after the human brain
Training neural nets to mirror the human brain enables deep learning models to apply learning to data they've never seen before.
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AI technologies News
IBM Watson Assistant tools aim to speed contact center CX
IBM has released new AI capabilities to speed virtual agents and automate more contact center tasks. The vendor also formed a partnership with contact center vendor IntelePeer.
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AI business strategies Get Started
Why transparency in AI matters for businesses
To ensure model accuracy, businesses need to understand why their machine learning models make their decisions. Certain tools and techniques can help with that.
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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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Enterprise applications of AI (2) +
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How neural network training methods are modeled after the human brain
Training neural nets to mirror the human brain enables deep learning models to apply learning to data they've never seen before.
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ML model optimization with ensemble learning, retraining
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data science
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Migrating to the era of glass box AI
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Problem Solve
Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success.
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Discover 2 unsupervised techniques that help categorize data
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Combating racial bias in AI
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Addressing 3 infrastructure issues that challenge AI adoption
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The mixed impact of AI on the environment
AI can both help and hurt the environment. While companies use artificial intelligence to increase factory efficiency and lower energy costs, training AI demands a lot of energy.
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Energy consumption of AI poses environmental problems
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AI accountability: Who's responsible when AI goes wrong?
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Building trustworthy AI is key for enterprises
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E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
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E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
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E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
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E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
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Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
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Enterprise Artificial Intelligence Basics
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Model optimization methods to cut latency, adapt to new data
This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning.
-
Get Started
Why transparency in AI matters for businesses
To ensure model accuracy, businesses need to understand why their machine learning models make their decisions. Certain tools and techniques can help with that.
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Get Started
What is artificial intelligence?
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
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Artificial intelligence platforms
DataRobot AI Cloud gives users multi-cloud capabilities
DataRobot unveiled its cloud, giving users access to technologies and applications the vendor obtained with a series of recent and older acquisitions.
-
Machine learning platforms
Tableau and DotData partner on AI automation, visualization
Tableau and DotData partner to help data scientists and engineers accelerate machine learning automation while adding a visualization layer to model building.
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AI hardware
AI hardware and software: The key to eBay's marketplace
At the AI Hardware summit 2021, an eBay exec discusses how its similarity system enables it to build an AI-driven marketplace for better latency and throughput.