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Artificial intelligence has been finding its way into the everyday tech we use for quite some time now. If you’ve ever wondered how the product recommendations by Amazon are exceptionally relevant to you, the answer is AI. Artificial intelligence systems work like magic,

If you’re an avid follower of new age technologies like Big Data and Machine Learning, you should have heard of the futuristic Netflix series Black Mirror. If not, Black Mirror is an anthology series that tries to predict and portray how technology will manipulate our personal lives in the future.

Imagine a situation where you can have your job in the New York city and live in an affordable town somewhere far from the city. Even if the place you live in is 100 miles away from NYC, you would still reach your workplace in just 30 minutes. That’s what Hyperloop, Elon Musk’s idea of the future of transport looks like.

We create as much data as we did from the beginning of civilization up until 2003 in just two days now. That would be around five Exabytes of information.

We live in a world where technology has become an integral part of our daily activities. From waking up to the alarm on your smartphone to navigating to places with GPS assisted maps,

Insights derived from big data is turning every company into consumer focused, highly efficient and smarter entities. This data driven business approach has enabled companies to respond to customers’ needs better than ever before. Just when you thought that’s all we could achieve with the technology, here comes Artificial Intelligence to revolutionize not just business, but the whole human civilization.

Big data has become a crucial growth enabler by empowering companies with deep insights on the internal business processes along with the competitors and market. This exponential demand for data has led to the mushrooming of startups focusing on acquiring, analysing and building innovative products on top of big data.

Big data has been all over the news ever since businesses learnt its value in analyzing the competition, market research and optimizing their internal operations for maximum efficiency.