With Amazon releasing its machine learning (ML) service earlier this year (and with other companies rushing in to take advantage of the machine learning API landscape), ML technology is set to explode in 2016.
Why? Just as all of the major cloud companies (Amazon Web Services, Google, IBM, etc.) provide analytics as a service, so do these companies provide machine learning APIs in the cloud. These APIs allow everyday developers (read: developers without much background in machine-learning technologies) to "build smart, data-driven applications that can not only analyze what's happening in real time or what happened in the past, but also predict what's going to happen in the future."
The end result of the 'Rise of Machine Learning' will mean that companies will have access to better, faster and more comprehensive data that — when combined with IoT capabilities — will lead to everything from better security applications to more accurate systems for medical diagnoses.
With 2015 practically in the rearview mirror, it's time to gear up for 2016 and the different business verticals that you'll need to fulfill as the year progresses.
To that end, once you've had a celebratory glass of champagne to commemorate all the quality work you've completed within the past year, it'll be in your best interest to look toward some of the most pressing enterprise technology trends set to heat up in 2016. Here are four hot trends Himanshu Sareen, CEO at Icreon Tech, has identified for the coming year.
Watson continuously learns from previous interactions, gaining in value and knowledge over time. Learn how companies are harnessing that AI power to create and improve products and services. ... More >>
Here are the top 10 strategic technology trends that will impact most organizations in 2017. Strategic technology trends are defined as those with substantial disruptive potential or those reaching the tipping point over the next five years. ... More >>