Social networks are capturing a phenomenal amount of data on their users. But the vast majority of that information is unstructured and can’t easily be put to use.
Now, though, Facebook, Twitter, LinkedIn, and others are beginning to use artificial intelligence techniques to build out their “deep learning” capacities. They’re starting to process all the activity occurring over their networks, from conversations, to photo facial recognition, to gaming activity.
In a recent report from BI Intelligence, we show how advances in cutting-edge artificial intelligence research, which program machines to perform high-level thought and abstractions, are helping social networks and their advertisers glean insights from this vast ocean of unstructured consumer data. Thanks to deep learning, social media has the potential to become far more personalised. New marketing fields are quickly emerging, too: audience clustering, predictive marketing, and sophisticated brand sentiment analysis.
Here are some of the major acquisitions and hires from the AI field that occurred in recent months:
- Facebook launched a new research lab dedicated entirely to advancing the field of AI. Deep learning expert Yann LeCun is directing the efforts of the lab.
- Google acquired DeepMind, a company that built learning algorithms for e-commerce, simulations, and games, for $US400 million. DeepMind’s 50 employees were considered to be among the most talented experts in the field of AI. Google also hired deep learning pioneer Geoff Hinton to improve products such as Android voice search.
- LinkedIn acquired Bright, a company that focused on data- and algorithm-driven job matches, for $US120 million — its largest acquisition to date.
- Pinterest acquired VisualGraph, a company that specialised in image recognition and visual search. VisualGraph CEO Kevin Jang helped build Google’s first machine vision application to improve image search.
In full, the report:
- Provides an easy-to-understand explanation of artificial intelligence and the various subsets of the field that are applicable to social media data.
- Includes interviews with artificial intelligence experts that reveal how advanced machine learning systems are today, and how different social networks are leveraging this powerful technology.
- Unpacks which types of social media data will be filtered through machine learning and how difficult it will be to process the different kinds of data.
- Gives examples of how artificial intelligence will improve social media ROI and revolutionise digital marketing and advertising.
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