Machine learning platforms
Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right choice can seem like a daunting task. Discover machine learning platform comparison content, information on getting started with machine learning algorithms and best practices to gain the most from projects.
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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.
Machine learning platforms News
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October 10, 2019
10
Oct'19
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work.
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October 02, 2019
02
Oct'19
Pride and nerves delay AI adoption in the enterprise
A new study shows that AI adoption in the enterprise is slower than it ought to be. Experts point to a lack of education, the need for explainable AI, and even executive pride.
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September 27, 2019
27
Sep'19
Modular AI can help enterprises apply and understand AI
Modular AI enables customers to deploy AI as it applies to individual use cases, creating a more focused, open, and cheaper overall AI system and strategy.
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September 25, 2019
25
Sep'19
Cambridge Consultants demos show uses of AI
At a demo event, Cambridge Consultants highlighted some of the applications of AI with a system that can count TB cells in a sputum sample and a system that can fix image distortion.
Machine learning platforms Get Started
Bring yourself up to speed with our introductory content
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Neural network applications in business run wide, fast and deep
Neural network uses are starting to emerge in the enterprise. This handbook examines the growing number of businesses reporting gains from implementing this technology. Continue Reading
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big data
Big data is an evolving term that describes a large volume of structured, semi-structured and unstructured data that has the potential to be mined for information and used in machine learning projects and other advanced analytics applications. Continue Reading
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artificial neural network (ANN)
In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain. Continue Reading
Evaluate Machine learning platforms Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Deep learning and neural networks gain commercial footing
Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection. Continue Reading
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5 types of machine learning algorithms you should know
Machine learning can assist enterprises by quickly modeling large data sets. Choosing the right algorithm depends on the desired outcome and the makeup of your data science team. Continue Reading
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Review latest investments to AWS' machine learning platform
Improved deep learning capabilities lead this machine learning roundup. Learn how AWS is targeting both machine-learning-savvy developers and data scientists. Continue Reading
Manage Machine learning platforms
Learn to apply best practices and optimize your operations.
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AI helps supply chain analytics make better predictions
IoT sensors carry more data than ever into SCM platforms, making analytics simultaneously more complicated and effective. Machine learning is the indispensable helper. Continue Reading
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Machine learning for data analytics can solve big data storage issues
Discover how AI and machine learning -- with support from major vendors and technologies like Lambda architecture, FPGAs and containers -- address big data analytics challenges. Continue Reading
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Machine learning for data storage optimizes data analysis
Problem Solve Machine learning platforms 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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Serverless machine learning reduces development burdens
Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers. Continue Reading
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Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
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How to solve deep learning challenges through interoperability
The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology. Continue Reading