Big Data Predictive Computer Analytics Will Soon Be in the Palm of Your Hand

In 2014, more companies will implement machine learning technologies, including semi-automated development of predictive and prescriptive models to increase productivity.

In 2014, more companies will implement machine learning technologies, including semi-automated development of predictive and prescriptive models to increase productivity.

In her Forbes article Top Four Big Data Trends For Businesses In 2014, Natasha Baker of CenturyLink​Voice interviewed John Lucker, Deloitte Analytics Global Advanced Analytics and Modeling Market Leader to get his predictions. Number four is: More Companies Will Implement Machine Learning and Predictive Analytics.

The article states, “In 2014, more companies will implement machine learning technologies, including semi-automated development of predictive and prescriptive models to increase productivity.” Baker writes, “Although Big Data may have felt like a hyped technology for the past few years, the difference in 2014 is that companies will now use this information in practical and profitable ways. Expect to see Big Data applications accelerating and thriving when it comes to delivering actionable insights.”

Indeed, Aviate has a screen replacement app for your Android smartphone designed to “build up knowledge and expertise in ‘predictive computing.’” The premise is that Aviate will sense your location, the time of day and whether you are traveling and leverage “the full sensor suite of your smartphone to determine context” in order to present you with relevant apps and information that relate to your current activity.

Similarly, SwiftKey is an intelligent touchscreen keyboard that replaces your Android device’s on-screen keyboard so you can type easier, faster and with less frustration.

“The app is packed full of features to help you type, from the award-winning prediction engine that learns how you write to predict your next word, to SwiftKey Flow, which lets you write whole phrases without lifting a finger.”

We are transitioning to a new era in computing “where systems can learn, reason, sense, predict and enhance decision making. Cognitive systems, such as IBM’s Watson, can ‘understand’ the context within users’ questions, uncover answers from Big Data, and improve performance by continuously learning from experiences.”

It’s vital to remember that the point of accessing Big Data, particularly regarding predictive analytics, is to be able to act on the insight provided. Predictive analytics needs to be incorporated into the company’s processes in order to give the enterprise power not just to predict, but to take logical, value-driven action on the recommendations.  Being able to do this consistently creates better customer service decisions. In addition, more accurate marketing insights into customer behavior enables your business to provide the value your clients expect.

Big Data opens a vast array of applications and opportunities in multiple vertical sectors including, but not limited to, retail and hospitality, media, utilities, financial services, healthcare and pharmaceutical, telecommunications, government, homeland security, and the emerging industrial Internet vertical.

Our Mind Commerce report Big Data and Telecom Analytics Market: Business Case, Market Analysis & Forecasts 2014 – 2019 provides an in-depth assessment of the global Big Data and telecom analytics markets, including a study of the business case, application use cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry.

Additional resources:

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