6 Machine Learning, AI, Analytics Trends To Watch - InformationWeek

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1/15/2016
09:05 AM
Lisa Morgan
Lisa Morgan
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6 Machine Learning, AI, Analytics Trends To Watch

Big data and analytics are set for a big 2016, as more devices and types of software are connected and exchange information. Here are some considerations for businesses as they look to maximize the value of all this data.
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AI And Machine Learning Gain Momentum 

Artificial intelligence (AI) and machine learning capabilities will be included in more types of platforms and software, allowing business and IT professionals to take advantage of them without understanding how they work. Of course, developers and data scientists will help enable this integration with the assistance of Watson APIs, Microsoft Azure machine learning APIs, Amazon Machine Learning service, and open source projects including the TensorFlow machine learning library contributed by Google. 
Also expect to see more amply funded startups in this area. As an example, H2o.ai, which offers an open source platform for data scientists and developers, just received $20 million in Series B funding. Venture Scanner, which helps companies understand startup ecosystems, is currently tracking more than 897 AI companies in 66 countries that represent a total of $3.98 billion in funding. 
Gartner advises organizations to consider how they can use advanced machine learning for competitive advantage in 2016. 
(Image: Geralt via Pixabay)

AI And Machine Learning Gain Momentum

Artificial intelligence (AI) and machine learning capabilities will be included in more types of platforms and software, allowing business and IT professionals to take advantage of them without understanding how they work. Of course, developers and data scientists will help enable this integration with the assistance of Watson APIs, Microsoft Azure machine learning APIs, Amazon Machine Learning service, and open source projects including the TensorFlow machine learning library contributed by Google.

Also expect to see more amply funded startups in this area. As an example, H2o.ai, which offers an open source platform for data scientists and developers, just received $20 million in Series B funding. Venture Scanner, which helps companies understand startup ecosystems, is currently tracking more than 897 AI companies in 66 countries that represent a total of $3.98 billion in funding.

Gartner advises organizations to consider how they can use advanced machine learning for competitive advantage in 2016.

(Image: Geralt via Pixabay)

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