"Artificial intelligence (AI) looks likely to be one of the most influential technology trends for 2018. And machine learning is poised to be one of the most aspects of AI that enterprises will need to master" continues Datamation.
According to the latest forecast from IDC
 worldwide spending on cognitive and AI solutions, include machine 
learning solutions, is likely to achieve a compound annual growth rate 
(CAGR) of 50.1 percent from 2016 to 2021. In 2017, total revenue in the 
market was $12.0 billion, 59.1 percent higher than in 2016. By 2021, the
 analysts predict that revenues could hit $57.6 billion.
Large technology companies like IBM, Microsoft, Google, Apple, 
Facebook, Salesforce and Amazon have been investing heavily in AI and 
machine learning. They each have armies of researchers devoted to 
advancing machine learning capabilities, and they are also acquiring 
machine learning startups at a frantic pace.
For example, in 2017, Google bought machine learning competition 
platform Kaggle and India-based Halli Labs, which made machine learning 
to fix "old problems." Microsoft acquired Maluuba, which had impressive 
deep learning and reinforcement learning capabilities. Apple snapped up 
Lattice Data, which used machine learning to make unstructured data more
 structured, and Amazon reportedly purchased cybersecurity-focused 
machine learning startup Harvest.ai. And that's just a handful of the 
biggest machine learning acquisitions of the year.
With more software vendors and enterprises looking to add machine 
learning capabilities to their applications in 2018, the startup buying 
spree will almost certainly continue. And entrepreneurs continue to 
found new machine learning startups at a very rapid rate.
Which of these machine learning startups look the most promising? 
Here are ten that seem particularly noteworthy and worth watching in 
2018.
Source: Datamation 
 

 


 
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