Harsh Arora

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.

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.

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,

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.

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.

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.

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,

The humongous amounts of data available today is almost causing an information overload for anyone venturing into its analyses. This trend seems to be going nowhere since the data is only growing in size over time.

Customers, irrespective of the industry and market are now bombarded with numerous advertisements from all media platforms along with generic marketing emails. This has taken a toll on the trust levels of the customers while also making them blind to most if not all such communications. This has marked the end of generic non-targeted marketing although this is still in practice at many companies.

Today’s sophisticated Voice Assistants could be easily mistaken for something straight out of Netflix’s Black Mirror TV series. Back in 2005, the best smartphone could simply speak the time in a thick ‘robot accent’.

Consumer electronics giant Samsung revealed that it has made a deal with Auto-tech firm Harman International Industries to take over their business including all the brands that they own.

Movies can sometimes be ahead of their time. Hollywood has always been thinking out of the box and coming up with movies based on futuristic technology with all those sci-fi thrillers.

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.

With the massive amounts of data being created on the web every day, the internet has transformed into a huge repository of endless information.

We still live in a world where majority of the decisions are made based on intuition and assumptions. As a race, humanity has been doing just fine with them, but why be fine when we can be better? Big data is being talked about by everyone these days.

Discovering patterns from data by employing intelligent algorithms is generally the core concept of machine learning. These discoveries often lead to actionable insights,

The role of data visualization in communicating the complex insights hidden inside data is vital. This is becoming more and more important since the audience for data visualizations is also expanding along with the size of data.