Machine learning platforms
Enterprises need to make smart investments in machine learning platforms. With a range of features and price tags, making the right ML 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 ML projects.
Top Stories
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Tip
15 Apr 2024
Tips for planning a machine learning architecture
When planning a machine learning architecture, organizations must consider factors such as performance, cost and scalability. Review necessary components and best practices. Continue Reading
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News
09 Apr 2024
Google's updates in Vertex AI, Imagen 2 support GenAI apps
The cloud provider introduced updates to Vertex AI. It revealed its LLM family Gemini is now available in Vertex. Its image generating tool also has new capabilities. Continue Reading
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Feature
18 Jun 2019
AI in professional services revolutionizes white-collar jobs
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. Continue Reading
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Answer
17 Jun 2019
How to improve candidate matching with AI in HR recruitment
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. Continue Reading
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Feature
13 Jun 2019
AI in pharma: Pfizer team tries Vyasa deep learning platform
To help automatically categorize drug particle shapes, a Pfizer research team is experimenting with Vyasa, a deep learning platform for the life sciences. Continue Reading
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Feature
07 Jun 2019
How pattern matching in machine learning powers AI
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. Continue Reading
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News
04 Jun 2019
New Nuxeo AI platform gives enterprises custom models
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. Continue Reading
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Feature
16 May 2019
Reinforcement learning applications provide focused models
Goal-driven AI uses trial-and-error learning methods to find optimal solutions to enterprise problems, while distancing themselves from requiring human maintenance. Continue Reading
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Feature
10 May 2019
Use of AI in payments industry is set to explode
Payment processors are making wider use of AI technologies as part of an effort to make better use of their vast troves of data and connect more directly with customers. Continue Reading
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News
08 May 2019
Google adds Firebase AI tools to make ML mobile dev easier
A new Google Firebase update simplifies machine learning app development. The update is part of a trend of making machine learning more accessible for developers to create and deploy. Continue Reading
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News
07 May 2019
Google's Cloud TPU v2, v3 Pods accelerate ML training
For the first time, Google Cloud TPU Pods are available in public beta, enabling machine learning developers and engineers to more quickly deploy and train models. Continue Reading
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News
25 Apr 2019
Databricks and Microsoft collaboration boosts MLflow tool
Databricks' MLflow gets support from Microsoft and new features, including easier model tracking, as the open source tool prepares for its 1.0 release next month. Continue Reading
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News
17 Apr 2019
Real-time machine learning with Splice Machine's ML Manager
Splice Machine's AI management software ML Manager, shown at Spark + AI Summit 2019, enables users to update their machine learning models with up-to-date data from varied sources. Continue Reading
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Feature
01 Apr 2019
March Madness analytics, AI help data scientist fill bracket
To create his March Madness bracket predictions, the head of data science at DataRobot uses a host of machine learning algorithms and some predictive analytics. Continue Reading
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Feature
29 Mar 2019
Data preparation for machine learning still requires humans
Looking to AI to automate more of your processes? Don't overlook the labor that's still needed to prepare data for training machine learning and AI algorithms. Continue Reading
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News
27 Mar 2019
Azure Anomaly Detector service spots business data deviations
Microsoft's Anomaly Detector service for Azure applies AI to customers' time-series data sets to find deviations or patterns that suggest problems. But humans still have the final say. Continue Reading
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Feature
08 Mar 2019
Automated machine learning streamlines model building
Automated machine learning leads to faster model building while democratizing use and increasing implementation. Expert Mike Gualtieri answers major questions about the rising tech. Continue Reading
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News
22 Feb 2019
IBM adds Power to Watson Machine Learning
While they debuted few whiz-bang offerings, IBM did roll out a handful of products that allow users to run AI technologies across more platforms, including Power Systems servers and competitor clouds. Continue Reading
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Feature
19 Feb 2019
New uses for GAN technology focus on optimizing existing tech
GAN technology has emerged as the latest facet of AI that can be applied to existing technology to stack learning. What else can it do? Here are emerging use cases for GANs. Continue Reading
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Answer
11 Feb 2019
What are the pros and cons of machine learning in network security?
The predictive nature of machine learning can benefit network security strategies. But it can also benefit those looking to break through secure network barriers. Continue Reading
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Feature
05 Feb 2019
The new AI frontier: Hyperpersonalized automated advertising
AI-powered automated advertising is being utilized to connect consumer to products, leading to more sales. Simply put: Hyperpersonalized content is taking over the ad space. Continue Reading
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Feature
27 Dec 2018
AI in 2019 will be all about bots and pre-trained models
2019 promises to be a big year for AI, as we're likely to see some trends -- such as adoption of virtual assistants and strong venture capital funding -- continue and others emerge. Continue Reading
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Feature
12 Dec 2018
Knowledge graph applications in the enterprise gain steam
As the maturity of knowledge graphs improves, enterprises are finding new ways to incorporate them into business operations, though stumbling blocks remain. Continue Reading
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Answer
05 Nov 2018
How do machine learning and AI fit into UC monitoring and analytics?
With the use of machine learning and AI in the very early stages in the UC market, our expert looks at their value in UC monitoring and analytics. Continue Reading
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News
22 Oct 2018
Commvault web interface getting a major overhaul
At Commvault Go, the data protection vendor introduced a revamped user interface with machine learning-powered analytics and smarter storage usage reporting. Continue Reading
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Feature
01 Oct 2018
Convert unstructured data to structured data with machine learning
With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight. Continue Reading
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News
27 Sep 2018
Hitachi analytics sharpens heterogeneous storage management
Upgraded Hitachi Vantara analytics for storage improves visual mapping of application storage and integrates dynamic-cooling IoT technologies from Vigilent. Continue Reading
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News
20 Sep 2018
Credit card giants step up AI fraud detection
While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools. Continue Reading
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Feature
13 Sep 2018
How to make a wise machine learning platforms comparison
What data sources does it support? Is it easy to use? Does it have automation features? These are just a few questions to ask when making a machine learning platforms comparison. Continue Reading
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Feature
30 Aug 2018
What do businesses do with the top machine learning platforms?
Take a deep dive into machine learning, including decision trees, clustering, reinforced learning, neural networks, as well as supervised and unsupervised machine learning. Continue Reading
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News
13 Aug 2018
O'Reilly machine learning survey: Enterprises aim for maturity
A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model. Continue Reading
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Feature
23 Jul 2018
How to find the best machine learning frameworks for you
There's no shortage of open source deep learning tools today, and evaluating them can be a challenge. But there are some primary considerations to keep in mind. Continue Reading
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Feature
19 Jul 2018
At Intuit, machine learning enhances products, CTO says
Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit. Continue Reading
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Feature
03 Jul 2018
Labeled data brings machine learning applications to life
The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why. Continue Reading
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Feature
02 Jul 2018
GPU cloud tools take complexity out of machine learning infrastructure
While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading
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News
08 Jun 2018
Databricks platform additions unify machine learning frameworks
Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied. Continue Reading
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Feature
19 Apr 2018
Getting to machine learning in production takes focus
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. Continue Reading
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News
02 Mar 2018
AI experts advise developers on dev tools
New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years. Continue Reading
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Feature
15 Feb 2018
Big data throws bias in machine learning data sets
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. Continue Reading
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Feature
12 Feb 2018
Machine vision makes paper a thing of the past for insurers
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. Continue Reading
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Feature
31 Jan 2018
How to do a machine learning platform comparison
Experts share their top criteria for choosing the right machine learning vendor in a market that has become crowded and confusing in the last couple years. Continue Reading
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Tip
17 Jan 2018
How to use machine learning to build a predictive algorithm
Machine learning is an invaluable tool for solving business problems, but don't jump into it for predictive analytics without understanding these important factors. Continue Reading
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Tip
16 Jan 2018
Synthetic data could ease the burden of training data for AI models
Sometimes it's better to manufacture training data for machine learning models than it is to collect it. Continue Reading
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Feature
15 Jan 2018
Machine learning models require DevOps-style workflows
Big data is driving the use of AI and machine learning. But teams must be swift to embrace DevOps and re-evaluate models, according to Wikibon's James Kobielus. Continue Reading
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Tip
02 Jun 2016
Why machine learning models require a failover plan
Flawed machine learning models lead to failures and user interruptions. Expert Judith Myerson explains the causes for failures and how a failover plan can improve user experience. Continue Reading