IBM Machine Learning comes to private cloud

Share this post:

z System machine learningBillions of transactions in banking, transportation, retail, insurance and other industries take place in the private cloud every day. For many enterprises, the z System mainframe is the home for all that data.

For data scientists, it can be hard to keep up with all that activity and those vast swaths of data. So IBM has taken its core Watson machine learning technology and applied it to the z System, enabling data scientists to automate the creation, training and deployment of analytic models to understand their data more completely.

IBM Machine Learning supports any language, any popular machine learning framework and any transactional data type without the cost, latency and risk that comes with moving data off premises. It also includes cognitive automation to help data scientists choose the right algorithms by which to analyze and process their organization’s specific data stores.

One company that is evaluating the IBM Machine Learning technology is Argus Health, which hopes to help healthcare providers and patients navigate the increasingly complex healthcare landscape.

“Helping our health plan clients achieve the best clinical and financial outcomes by getting the best care delivered at the best price in the most appropriate place is the mission of Argus while focused on the vision of becoming preeminent in providing pharmacy and healthcare solutions,” said Marc Palmer, president of Argus Health.

For more, check out CIO Today‘s full article.

More Cognitive stories

Bringing AI and esports together with Watson on cloud

Whether players are physically on the field or controlling virtual avatars in digital settings, IBM Watson is helping sports fans catch the most breathtaking moments. At the 2019 Game Developers Conference this week, IBM showcased how it’s using artificial intelligence (AI) on the IBM Cloud to make esports fan experiences better and improve player performance. […]

Continue reading

Providing around-the-clock call center support using a cognitive virtual assistant

According to Investopedia, financial technology has grown explosively since the mobile internet and smartphone revolution. Originally referring to computer technology applied to the back office of banks or trading firms, “fintech” now describes a variety of financial activities, from depositing a check with a smartphone to managing investments, generally without the assistance of a person. […]

Continue reading

How to remove the top 3 barriers to AI adoption in business automation

Many businesses are looking to automation to increase productivity, save costs and improve customer and employee experiences. For example, imagine a large insurance company that processes millions of claims a year. Around 60 percent of its claims are automatically processed, but it’d like to automate 85 percent of claims and reduce error rates, reduce costs […]

Continue reading