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Algorithms are an essential part of computing. But what are they, and how can they benefit people who don’t know a byte from a Boolean?

 

Machine learning tools have the potential to change our lives. Many people might argue they already have. When a computer can learn from past experience and adapt its behavior accordingly, it ceases to be a passive processor of instructions. Machine learning involves a degree of judgment that helps computers to make decisions, process data or predict patterns of behavior.

The singularity is a fairly old idea that first gained traction in 1993 with science fiction author, Vernor Vinge, in his essay “The Coming Technological Singularity”. It basically supposes that at some point in the unknown future computers and artificial intelligence will become so advanced they will surpass the understanding of humanity.

As a species, we’ve gone from burning each other at the stake for predicting the future to making careers out of it.

So now that we’re in the clear, let’s have a look at how AI and machine learning will affect the future of broadcasting.

Almost 63% of users of the Internet of Things (IoT) come from consumers, making them the largest demographic to join the trend. This number continues to increase. Gartner estimates that the consumer segment will have as much as 5.2 billion units this year, which accounts for around 63% of the overall number of IoT devices in use.

Internet of Things, or IoT, has changed the frequency with which we actually interact with machines. Last year, there were an estimated 6.6 billion IoT devices in use, and it’s not only consumers using them. Everyone, from organizations to governments are looking at IoT to streamline processes and improve productivity in newer ways. Their use  is actually expected to triple in the next five years.

2016 saw as many as 4,000 ransomware attacks each day throughout the year. This number is expected to increase this year. While most of the Internet of Things (IoT) enabled devices do not store sensitive information till now, hackers will find ways to reveal personal information soon.

Big data isn’t only restricted to workplaces today – it’s finding use in some innovative ways. 2017 promises to be an exciting year, and as Big Data is easier to obtain, it presents both some exciting and challenging times ahead. Will you be ready?