As leading technologies gaze through their crystal balls to foresee trends in data, businesses need to keep their ears and eyes at the ready if they're looking to maximize the value of all their data.
This year was a good year for big data and trends are following as we rapidly move into 2017.
The need for unsung data hero's is becoming more of an essential need for business and we are seeing a rise in data science, data analyst and engineering roles. Universities are accommodating for the rise of our machine loving super stars, helping to produce some of the hottest talent.
Software has become more sophisticated and businesses are competing to become the creme of the data crop.
But how do you ensure that your company's is Machine Learning ready?
Over the next five to 10 years, the biggest business gains will likely stem from getting the right information to the right people at the right time. Building upon the business intelligence revolution of the past years, machine learning will turbocharge finding patterns and automate value extraction in many areas. Data will increasingly drive a real-time economy, where resources are marshaled more efficiently, and the production of goods and services becomes on-demand, with lower failure rates and much better predictability. This will mean different things for different industries.