What if two of the biggest technology trends -- Big Data and the Internet of Things (IoT) -- actually converged or intersected? Actually, they are -- spanning everything from kitchen appliances to smart buildings. Not by coincidence, technology giants and  startups are seeking to help data chiefs, CIOs and CFOs make sense of the convergence. 

If you examine Gartner's Top 10 Technology Trends for 2015, the Internet of Things (IoT) will create opportunities to manage, monetize, operate and extend IP systems. Within that same trend report, Gartner mentions that advanced, pervasive and invisible analytics will emerge.

Gartner states: "Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data within and outside the enterprise are analyzed."

For a prime example, consider where Tellient is heading. In a recent podcast conversation, Tellient co-founder Tristan Barnum explained how Big Data applications will allow businesses to analyze information gathered from a new generation of endpoints.

Barnum's example points to a new generation of kitchen appliances. What if a manufacturer were able to remotely track customers' favorite appliance settings; the most used (and unused) features; and more? The result, Barnum believes, will lead to better product designs, fewer defects and other improvements each time the manufacturer releases a new generation of appliances.

Big Data And IoT Smart Buildings

The Internet of Things will expand beyond small, remote devices, sensors and beacons to blanket much larger IP deployments -- including physical buildings.

Market research firm Frost & Sullivan sees "Big Data as an enabler for Smart Buildings" -- suggesting that three big trends will drive the development of smart buildings:

  • Urbanization;
  • connectivity and convergence of smart technologies; and
  • connectivity between smart devices.

The result: Watch for new partnerships between data analytics companies and building technology providers.
Sensors and Machine Data

In another prime example, Enterprise Management Associates (EMA) Research Director John Myers describes how analytics running on sensor and machine data from smart devices delivers quantifiable cost savings and revenue, and CFOs are taking notice.

In that interview, Myers described how machine data is a great source of information for Big Data analysis. "This has been in the form of server logs such as Web traffic or geo-location information such as GPS information from smartphones," Myers told Information Management in September 2014. "The future is showing that sensor information from the connected home and sensors on trucks, planes and packages will be the next wave of information sources for big data initiatives."

Surely, data managers, IT managers and their CFOs want to get ahead of those trends. As do tech startups like Tellient.

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