At the April #NYDBM, we explored the fascinating intersection between Big Data and the Internet of Things.
One of the reasons why volumes of data have been escalating prodigiously over the last few years has been the proliferation of sensors of all kinds (in cell phones, cars, industrial plants, etc.), providing a unique articulation between the online and physical worlds. The concept of an Internet of Things (and its cousin for the manufacturing world, the “Industrial Internet”), where objects, devices and machines are connected and operable through a network, is not a new concept, but it is now quickly accelerating. In the Internet of Things, all objects become represented by data, and the intelligence is pushed above the level of the devices themselves, to the cloud where big data technologies help operate the devices with new levels of efficiency, factoring in not just the individual circumstances of that specific device but also those of connected devices as well as the external context affecting the network at any point in time.
We started with a few spotlight presentations by three pre-funding startups in the space:
- Canary (fka ForceField Labs): Connected device for home security and monitoring
- Placemeter: Smart in-store sensors capturing customer data(part of the current Techstars NYC class)
- Dash Labs: Connected car platform (also part of current Techstars NYC class)
We then featured the following speakers:
- Alex Hawkinson, CEO, SmartThings
- Peter Semmelhack, CEO, Bug Labs and author of a new book, “Social Machines”
- Jon Bruner, data journalist at O’Reilly and author of a new report on “The Industrial Internet”
- Steve Schlafman of Lerer Ventures
- Phin Barnes of First Round Capital