50 billion connected devices with an average of 3.5 devices per person are estimated to generate 40ZB of data by 2020. According to Counterpoint Research, most of the data will reside on the devices because they are designed and equipped to analyze, store and transmit what they capture, leaving about 15% of data to be stored in the Cloud. More and more companies and users are realizing that adding “context” to data and making the data more interesting and useful for users is where the key value add resides, hence the key driver for new applications and also where the return on investment is. Does the contextualization reduce the amount of data that gets stored over time? Does the meta data offset, offer a multiplier?
If video and imaging represent 80% of the storage in use today, how would classification impact this? Much like cloud scale cannibalized the enterprise datacenters due to performance/Watt/GB/$, couldn’t edge scale storage and compute cannibalize cloud scale solutions (i.e. x86 processors and traditional cloud storage solutions) based on those same metrics? How can each industry player participate in the classification? Learn more from Christopher Bergey, VP of Embedded Solutions at Western Digital, on how you can capitalize and monetize on contextualization beyond 2017.