News Stay informed about the latest enterprise technology news and product updates.

#CIOChat: Machine learning services and the enterprise

Predictive analytics technology is entering the public realm. But what happens when machine learning is accessible to everyone? Join #CIOChat on April 29 at 3 p.m. EST to discuss machine learning services and their effect on the enterprise.

Machine learning services are set to shake up the enterprise.

With the recent announcement that it would be selling its machine learning technology to the public, Amazon Web Services joined Microsoft and Google in their race to bring cheap and easy-to-use machine learning to everyone.

Introduced as Amazon Machine Learning, the product will offer similar features to Microsoft's Azure Machine Learning, Google's Prediction API and other machine learning services. These features include analyzing user data to look for patterns and generate predictive models, providing expectations of likely customer churn or turnover, detecting customer support issues, and auto-classifying documents and product reviews.

Despite the complex capabilities, the goal of many of these services is fairly simple -- to make machine learning more accessible not only to every enterprise, but to everyone.

But what will happen when machine learning becomes accessible to everyone?

Gartner predicts that through 2017, the number of citizen data scientists will grow five times faster than the number of highly skilled data scientists. How will these citizen data scientists disrupt CIOs, chief data officers and the enterprise?

Join our #CIOChat on Wednesday, April 29, at 3 p.m. EST to discuss machine learning as a service and its effect on the enterprise. Discussion may include how CIOs should respond to predictive analytics and the future of machine learning within the enterprise.

SearchCIO editors will lead the event from the site's Twitter handle, @SearchCIO, joined by other TechTarget editors, writers and followers. Follow the discussion hashtag, #CIOChat, to chime in.

Details

Date: Wednesday, April 29, 2015
Time: 3 p.m. EST
Host: @SearchCIO
Hashtag: Use and follow #CIOChat

Tweet chat newbies (and #CIOChat vets, too!), please review this list of tips before participating in the chat:

  • To follow the conversation, type "#CIOChat" into Twitter's search bar. From this page, select "All" to view tweets in real time.
  • Your first #CIOChat tweet should be introductory, including your name, title and organization.
  • @SearchCIO will ask a series of questions related to machine learning and the enterprise starting at 3 p.m. EST (Q1, Q2, etc.). In your tweeted responses to each question, please preface with A1 (Answer 1), A2 and so on, then remember to include "#CIOChat." Include this hashtag in every tweet during the chat.
  • Please note that Twitter allows only 140 characters per tweet. You are welcome to tweet multiple responses to each question.
  • Throughout the discussion, retweet (RT) and favorite tweets you concur with and reply to those you disagree with.

Please direct questions, RSVPs or other concerns to our editors. Talk to you on Twitter!

Next Steps

For more on predictive analytics, read about IBM Watson Health and the era of personalization. Then, check out a physician-programmer's experiments with AI and machine learning and Gilt's experiment in data science with preemptive shipping.

Dig Deeper on Enterprise business intelligence software and big data

PRO+

Content

Find more PRO+ content and other member only offers, here.

Join the conversation

1 comment

Send me notifications when other members comment.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

Please create a username to comment.

How do you think machine learning services will affect the enterprise?
Cancel

-ADS BY GOOGLE

SearchCompliance

SearchHealthIT

SearchCloudComputing

SearchMobileComputing

SearchDataCenter

Close