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The state of AI in 2020 likely sees more adoption
AI adoption has appeared to grow this year, as organizations deploy automation to augment dwindling workforces and help deal with growing demand during the COVID-19 pandemic.
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How to choose between a rules-based vs. machine learning system
Debating rules-based systems over machine learning comes down to the complexity of the task at hand. Machine learning dominates complex tasks, but requires more long-term expertise.
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Nvidia, University of Florida building AI supercomputer
Nvidia and the University of Florida have teamed up to build what they claim will be the fastest AI supercomputer in academia, capable of hitting 700 petaflops of performance.
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In-depth guide to machine learning in the enterprise
Enterprises are adopting machine learning technologies at rapid rates. In this machine learning guide, we break down what you need to know about this transformative technology.
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 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 Evaluate
Deep learning's role in the evolution of machine learning
Machine learning has continued to evolve since its beginnings some seven decades ago. Learn how deep learning has catalyzed a new phase in the evolution of machine learning.
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AI case studies News
Using ModelOps, a financial services company scales out
Using model operations (ModelOps), a fintech startup was able to scale up its model deployment quickly, while also maintaining model governance at scale.
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Neural networks and deep learning Evaluate
How neural network training methods are modeled after the human brain
Neural networks are trained to loosely mirror the human brain, but this process is limited by complicated human learning processes, classifications and training approaches.
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AI technologies Evaluate
How to choose between a rules-based vs. machine learning system
Debating rules-based systems over machine learning comes down to the complexity of the task at hand. Machine learning dominates complex tasks, but requires more long-term expertise.
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AI business strategies News
The state of AI in 2020 likely sees more adoption
AI adoption has appeared to grow this year, as organizations deploy automation to augment dwindling workforces and help deal with growing demand during the COVID-19 pandemic.
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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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Machine learning platforms (3) +
Featured Authors
Find Solutions For Your Project
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How to choose between a rules-based vs. machine learning system
Debating rules-based systems over machine learning comes down to the complexity of the task at hand. Machine learning dominates complex tasks, but requires more long-term expertise.
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In-depth guide to machine learning in the enterprise
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How neural network training methods are modeled after the human brain
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Artificial intelligence content writing ramps up publishing
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Problem Solve
Dismantling the black box
Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology.
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6 ways to reduce different types of bias in machine learning
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Solving AI's last-mile delivery problem
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Here's how one lawyer advises removing bias from AI
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Manage
Inside the rise of AIOps and MLOps
AI, when combined with IT operations and DevOps teams, forms AIOps that can greatly improve how IT assets are developed, produced and managed.
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AI in tax preparation gets a boost from classification tech
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How to build a machine learning model in 7 steps
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Learn the business value of AI's various techniques
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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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E-Handbook | May 2019
Computer vision AI looks beyond the narrow into the mainstream
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Enterprise Artificial Intelligence Basics
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unsupervised learning
Unsupervised learning refers to the use of artificial intelligence (AI) algorithms to identify patterns in data sets containing data points that are neither classified nor labeled.
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supervised learning
Supervised learning is an approach to creating artificial intelligence, where the program is given labeled input data and the expected output results.
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Learn the business value of AI's various techniques
To drive business value from AI, business managers need to distinguish between the various AI techniques, starting with the many flavors of machine learning.
Multimedia
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AI evolution timeline: A decade perspective
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Vendor Resources
- Start Your Journey to AI with Robust Data Collection –White Paper
- Start Your Journey to AI with Robust Data Collection –White Paper
- Implementing AI Solutions for Every Industry –Case Study
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News
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AI infrastructure
Nvidia, University of Florida building AI supercomputer
Nvidia and the University of Florida have teamed up to build what they claim will be the fastest AI supercomputer in academia, capable of hitting 700 petaflops of performance.
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AI technologies
DotData Stream enables real-time predictions at the edge
DotData opens the doors to new markets with DotData Stream, a new product that enables customers to create low-memory, low-latency models at the edge.
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AI business strategies
IBM acquires RPA vendor to enhance automation suite
IBM bought a Brazilian RPA and chatbot vendor to expand its collection of automation products.
