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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September 27, 2018 27 Sep'18
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.
September 20, 2018 20 Sep'18
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.
August 13, 2018 13 Aug'18
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.
July 27, 2018 27 Jul'18
BigQuery ML moves machine learning into Google BigQuery

Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.

Bring yourself up to speed with our introductory content

3 ways to make machine learning in business more effective

Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
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
AI for education brings benefits to burdened school staff

Using AI in education can have a dramatic impact on the way teachers use their time and the manner in which students are served individually. Expect the trend to continue. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Augmented analytics, automated tools facilitate data analysis

From Tableau to Google, vendors increasingly incorporate augmented and automated analytics tools into their software to speed analytics work and open it up to more users. Continue Reading
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
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

Learn to apply best practices and optimize your operations.

What-if business planning simulation at its predictive best

Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives. Continue Reading
Machine learning in production challenges developers' skills

Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
Healthcare APIs weave into common lingo of federal officials

It's hard to imagine that a federal health policy announcement would have ever included the term 'API', but it's on the minds of health regulators. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

There's time and place for SMBs to adopt SaaS-based ERP

SMBs face many issues when implementing SaaS ERP operations versus on-premises, plus the fact that one size cloud-based ERP platform doesn't necessarily fit all companies. Continue Reading
The threats of AI must be taken seriously to prevent harm

The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches. Continue Reading
AI for the enterprise transmitted directly from Mars

For marketing intelligence to explore new frontiers and achieve its ultimate goal, chief marketing officers may find their CRM applications were once developed by NASA and tested in space. Continue Reading