INNOVATION AND THE INTERNET OF THINGS
IoT is shaping up to be one of the most disruptive and transformative industrial technology events in history. Analysts predict that by 2020, the data coming from tens of billions of devices will drive trillions of dollars in to the economy from new business models that make cities smarter, factories more efficient, and improve society’s overall quality of life. In this session we will take a look at how operational analytics, security concerns, and the user experience are impacting innovation around the Internet of Things.
ABOUT EMEKA
Emeka is the Senior Director for Global Alliances at Wind River, an independent subsidiary of Intel Corp. Emeka is responsible for managing Wind River’s global ecosystem of software partners, aligning them with Wind River’s go-to-market strategy for the Internet of Things and the Wind Helix product portfolio. Emeka has over 20 years of experience developing complex embedded systems and developing tools to support the development of complex embedded systems. A graduate of McGill University, Emeka enjoys cycling, running, playing tennis, jazz, travel, good food, and cheering on his daughters during their soccer matches.
2. These are just a few of my
favourite (smart connected) things.
3. The Internet of Things (IoT) refers to the
ever-growing network of physical
objects that feature an IP address for
internet connectivity, and the
communication that occurs between
these objects and other Internet-
enabled devices and systems.
(via Webopedia)
4. “Smart, connected products raise a
new set of strategic choices related
to how value is created and
captured, how the prodigious
amount of new (and sensitive) data
they generate is utilized and
managed, how relationships with
traditional business partners such as
channels are redefined, and what
role companies should play as
industry boundaries are expanded.”
(via Harvard Business Review, November 2014)
18. Machine data will unlock new business value by
moving from Demographic-Models of families
of devices to Psychographic-Models of each
and every smart connected device.
[ The Model-of-One
]
In addition to the emergence of necessary technologies, including IPv6 (which provides enough potential IP addressability for every atom on earth 100 times over) we’ve seen costs fall dramatically for the critical ingredients of the IoT era: cost, sensors, and bandwidth.
We’re focused on the commercial segment of the IoT market.
Unexpected fuel consumption
Safety and Security
With IoT in the commercial space bringing intelligence and data-responsive capabilities to critical infrastructure, the need for Safety and Security approaches that work from hardware on up through system of systems is paramount.
Specific Safety Examples: Vehicle to Infrastructure or Vehicle to Vehicle connectivity, Smart Manufacturing scenarios involving heavy machinery handling in environments where people are present, Smart Building scenarios in which basic aspects of the way that people live and work are increasingly automated and/or managed through virtual interfaces rather than physical ones.
Specific security examples:
Discovery and Partitioning
Discovery being the process of one or or more types of cloud locating a new device as it comes online, and provisioning being the process of that device being supplied with the connectivity and access it is entitled to on a given network or in a given environment. Safety and Security must remain paramount even as new paradigms for device discovery and provisioning emerge, and Cloud Operators and Device Manufacturers push toward aggressive targets for the seamlessness and duration of the discovery and provisioning process.
Data Normalization
The capacity to unlock machine data on devices which may or may not be IP Addressable, to assess and validate that data, supply it with necessary meta data, and deliver structured, enriched data to enterprise systems safely and securely. Gateways play a critical role in this step, and while the process seems straightforward only 85% of today’s data is structured in this way and many brownfield systems are characterized in part by the extent to which they’ve locked that machine data down.
Actionable Analytics
While basic analytics capabilities are readily available through commercial or open source channels, these don’t always reflect the decades of proprietary insight into device or machine performance that a manufacturer has developed on their own.
Monetizing
Read the slide:
For over thirty years, Wind River has helped the world's most recognizable brands
power generation after generation of embedded devices.
Color spot: We spend more on R&D than our nearest embedded competitor’s revenue; relative to the size of our market, we spend a lot.
API, horizontal band
Wind River Helix is a comprehensive end-to-end portfolio of solutions for the secure capture and round-trip routing of commercial machine data from diverse [sensors], machines and critical infrastructure elements in the Aerospace, Automotive, Industrial and Networking markets (e.g. data created and/or aggregated by aircraft and/or specific components of aircraft including jet turbines, Automated-Driving or “ADAS” systems, robots and other manufacturing and/or industrial control systems, as well as networks at the point of access and/or gateways) through an extremely robust end-to-end compute & networking system for purposes of analyzing data in order to more safely and efficiently operate those machines and critical infrastructure elements. Helix will also allow the location of control logic for such systems to be relocated from a machine, device, or infrastructure element into the cloud, or conversely from the cloud to the underlying connected components, or conversely from the cloud to the underlying connected components.