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
-
Feature
14 Jul 2026
AI and robotics yield bumper crops down on the farm
Autonomous tractors roam the fields 24/7, while AI, computer vision and machine learning harvest fruits, increase milk production, limit pesticides and boost crop yields. Continue Reading
-
Feature
08 Jul 2026
AI in law offices: How it's being used and the risks
Document discovery, court motions, patent protection, focus groups and client calls are tasks where AI saves law firms significant time and costs, while keeping humans in the loop. Continue Reading
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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