Artificial Intelligence: No longer a Vision for the Future
Artificial intelligence is being used by companies the world over for loads of smart applications, and as it grows in sophistication, so too is it adopted at an increasing pace. Here we outline just a couple of the most exciting developments in the AI world.
Microsoft Garage launches new app to identify dog breeds
Yesterday, Microsoft Garage launched an app that uses artificial intelligence to name and classify dog breeds based on a photo. Fetch!, as it’s called, can also tell you what kind of personality is best suited to certain breeds. For a bit of extra fun, it can make a guesstimate as to what kind of dog you best resemble.
The app is packed with useful features, including a detailed list of breeds that contains dog size, coat, temperament and suitability for families.
This isn’t Microsoft’s first foray into artificial intelligence – they’ve released apps that can determine how old you are (some results were questionable), how long your moustache is, or whether two people are twins. And just like these apps, Fetch! is powered by Microsoft’s Project Oxford, which shares with developers the power of machine learning technologies. To read about more of Microsoft Garage’s apps, read our earlier blog post here.
Artificial Intelligence: the future of Google Search
As Wired recently reported, if artificial intelligence is the future of Google Search, then it is the future of so much more.
Late last year, Google introduced RankBrain, a machine-learning artificial intelligence that’s used to better understand search queries. Before RankBrain, Google relied pretty heavily on algorithms that were created by their engineers, i.e. Hummingbird, but now it seems the two are being used in cohesion.
Upon the rollout, Google told Bloomberg that a “very large fraction” of their search queries were being processed via RankBrain to sort through unfamiliar queries. So what does this all mean for marketers?
Well, apparently, we should be seeing more accurate results. RankBrain was introduced to better connect searchers to information based on their intentions, as opposed to bringing up results that are an exact match to search phrases. And, according to one industry expert, this presents a good opportunity for marketers to continue delivering valuable content that solves problems.
While machine learning only forms part of Google Search, it’s likely that it will come to play a much bigger role in the near future. According to Google’s newest search chief, John Giannandrea, the benefit of machine learning is that it replaces the need to code as much, which allows for greater scaling and more opportunities.