We probably haven’t fully realized the extent to which AI has already been incorporated into our everyday lives. The Internet of Things (IOT), commonly thought of as smart devices, have now come to include household appliances, as well as handheld phones and speakers; all of which are voice activated and designed to follow through with commands. This much is clear: how we are currently interacting with technology is vastly reshaping the tech industry, and it has everything to do with artificial intelligence.
Both companies and governments are racing to develop the latest artificial intelligence platforms, with potential even in the medical and political arenas on the horizon. As automation continues to grow, so do cloud based solutions; providing the need for on demand storage. While people are quick to jump to the conclusion that AI is going to create a mass job exodus, it could very well fuel job creation as well. For example, there is a shortage of AI researches and engineers, and demand for those who can compile data efficiently. What follows are 4 AI trends to watch, and how they might affect the industry as we know it.
4 Important AI Trends
When it comes to coordinating facilities and supplies on a large scale, the robotic workforce is already taking over. Warehousing and distribution companies like Amazon are putting AI to work sorting and finding packages; a job that was once labor intense.
The auto industry has grown leaps and bounds from OnStar vehicle and safety features. Artificial intelligence has allowed Tesla to bring the very first self driving cars to the street. Additionally, assisted driving features like automatic braking, parallel parking, and traffic alerts are now standard. The future holds more innovation, as Uber looks to implement driver-less cars. AI also continues to improve everything from automobile testing to software updates, problems and repairs.
Many platforms are already running off of AI because it is simply better at analyzing data. AI algorithms are determined by machine learning from large amounts of data. Intelligent apps are able to make decisions based on patterns of behavior from said data. This is how music apps like Pandora and Spotify are able to recommend songs. Facebook for example already predetermines what users will or will not see, based off of their user data.
As a result, AI platforms tend to be better at detecting security threats, fraudulent transactions or behavior. Additionally, when it comes to customer service, chat-bots are becoming popular with financial institutions in that they enable them to have virtual assistants 24/7. These chat bots are able to answer a customer’s questions based off of prior frequently asked and answered questions. Even e-commerce is utilizing AI in terms of price fluctuations and targeted ads. For example, an item’s price can change on it’s own based on how many times it is being viewed, or sits in a cart. Specific buyer habits and personas are also being gathered via membership or reward cards.
Surprisingly, AI will affect both white and blue collar jobs as many marketing strategies now include some form of AI wether it be via custom videos, social media posts, or emails. In fact, articles are already being published from many reputable news outlets using not journalists, but artificial intelligence. AI is specifically useful when it comes to writing many variations of the same message, or financial summaries and earnings reports where numbers are merely being translated.
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