"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