Top 5 Big Data Trends for 2017

Gartner predicts that by 2018, more than 3 million workers worldwide will be supervised by ‘robobosses’.

Don’t worry, Skynet isn’t going to be live anytime soon, and we won’t become slaves either. But the exabytes of data that we generate are definitely going to make our lives simpler.

2016 saw an immense focus on automation, artificial intelligence, and machine learning; let’s take a look at what data scientists are calling the top 5 big data trends for 2017:

Source: eQuest

Wider Hadoop Adoption

As more organizations start leveraging big data, vendors are going to come out with new and innovative Hadoop solutions. 2017 is going to see a wider Hadoop adoption, which will enable organizations to find valuable information from the massive amounts of data they store.

Internet of Things (IoT)

IoT has been gaining steady popularity. According to Gartner, by 2022, IoT will save consumers and businesses $1 trillion a year in maintenance, services and consumables. That’s a lot of money and it’s no surprise that business focus on IoT has tremendously increased and will keep on growing. Moreover, the data generated from IoT devices will also help shape the big data environment with new innovations and integrations.

Predictive Analytics

By trying to precisely predict the future, businesses aim to reduce risk and improve productivity and profitability. Predictive marketing, despite being in use for a few years, will see wider adoption in 2017 as businesses gain an ever increasing amount of data.

Machine Learning and Automation

Of late, there has been a lot of focus on automation and machine learning. As data scientists and analytics managers, you must have focused on automating at least a part of your work. With a sharp rise of deep learning and deep neural networks, full-scale autonomous agents are going to be the future.

Digital Analytics

With the proliferation of connected smart devices, digital analytics is going to see a surge in 2017. Connected devices are going to give marketers a ton of information, which, if utilized properly can help improve customer experience and provide desired outcomes for businesses.

Conclusion

2017 is going to be one heck of a year for data scientists, business analysts, and marketers. Wider data generation and collection is going to result in innovative Hadoop solutions, IoT will enable businesses to make tremendous savings, predictive analytics is going to help reduce risk, machine learning and automation are going to make life easier, and digital analytics is going to improve customer experience.

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