Are you one among the millions those who use Spotify every month? Or maybe one of the hundred million subscribers to Netflix? If so, you’re interacting with artificial intelligence.
Spotify’s individualized Discover Weekly collection, which suggests new music based on your tastes, uses three of the most powerful strategies of predictive analytics. This includes collaborative filtering (using data based on what similar users like and don’t like), natural language processing (correlations in language and sentiment on blogs and other written sources about music) and an audio model which analyses raw audio tracks and finds similarities in factors such as time signature, key, mode, tempo, and loudness. Together, these algorithms decide what your Spotify thinks you must hear.
Artificial Intelligence (AI) is not part of a distant future, separate from our current lives and our day-to-day issues. What many people don’t realize is that our lives are being changed and improved by Artificial Intelligence (AI) every day. Honestly speaking we completely rely on Artificial Intelligence (AI) to help us in our lives in more ways than we imagine. ‘In the past, we used to throw lots of labor or money at problems, these days we view it as throwing lots of data to try and find solutions.
From the automotive industry to aged care, Artificial Intelligence (AI) is one of the biggest areas for future job creation and economic growth.
Whether it’s analyzing our behavior patterns to solve problems or protecting people on the roads, here are the ways in which Artificial Intelligence (AI) is shaping our lives every day.
Artificial Intelligence (AI) is predicting your favorite Brand, film, food, Music and etc
Beyond Spotify and Netflix, which recommends films to you based on what you’ve already watched, advertisers are using predictive analytics every day in order to track your behavior and serve you ads in anticipation of your needs. For example, you see a travel insurance ad on a web page after you’ve looked up holiday plans and destinations.
Predictive analytics tries to map people’s behavior
and how that relates to other cohorts. While such analytics are already a huge part of our day to day lives, the area has a huge capacity for growth and value creation. Brands like Amazon are spending billions of dollars in Artificial Intelligence (AI) capabilities like predicting what consumers will need.
There’s a lot of power in that type of analytics, so as we get better there will be more capacity to deliver value, such as supermarket chains delivering products to you before you need to order them.
‘They’ll deliver things to you based on when you need them, not when you tell them you need them. That becomes terribly powerful, particularly when you link them with notification and delivery systems.
You already start using automatic vehicles
Many people don’t trust robots to drive us. What they may not realize is that autonomous mobility is already a huge part of our daily transport mix.
From the moment you step on a plane to when it lands on the runway, your plane is predominantly running on autopilot. Most people don’t question it because they trust the people handling the planes and their approval of the technology. Singapore Airport, for example, has driverless trains.
But when it comes to our cars, many people, especially older generations are a little less accepting. Do you know, people have already started giving up cars.
‘Uber is an autonomous vehicle, it’s just a human brain driving the vehicle,’ he says. ‘But in Australia cars represent personal freedom and there’s a belief that driverless cars will take away that sense.’
For the past 10 years, we’ve made great leaps in driverless technology such as autonomous vehicles being allowed to operate in natural environments.
Artificial Intelligence (AI) Personal Assistant
Whether you have Siri, Cortana or Alexa, your personal assistant is a further example of Artificial Intelligence (AI) already at work. From connecting your home to finding answers to your questions – personal assistants are constantly working their way into our everyday lives.
The next evolution in personal assistants will be the ability to use their own knowledge to come up with solutions to your problems and give you information that you didn’t explicitly raise however may want – psychological feature solutions.
The developing generation of personal assistants and technology will understand the context of what you are asking for. For example, Tell me what the weather is today.’ But maybe you’re really asking: ‘Is it going to rain because I’m having a picnic?’
‘Combine that with predictive analytics and behavior modeling, it starts to answer questions for you. It can recommend.’
Artificial Intelligence (AI) is improving your business
With raw machine learning, Artificial intelligence is also being used by individuals and businesses every day to optimize their products and business processes. Working in this way, machine learning can change the parameters of products and see the impact on production and costs, for example on chemical settings in drugs or paint products. ‘In the past humans would have done that and this can be costly and time-consuming,
In this scenario, machine learning uses data collected to inform the system of the next thing to change and how to get to the end result faster and with fewer experiments. And people are starting to use machine learning on problems we never thought about, such as collecting mass data – such as identifying people with weapons.
What’s next for Artificial Intelligence (AI)?
Beyond advancements in Artificial Intelligence (AI) technology like fully-autonomous vehicles, predictive and intuitive personal assistants – a big question posed for Artificial Intelligence (AI) is one of ethics. The number of devices produced each second is more than the babies born in a particular country.
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