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Solutions
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Counterpoint Research estimated the storage capacity requirement for autonomous vehicles to balloon over 2TB in the next decade
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Innovations
ZONED STORAGE
Addresses data center scale with increased capacity, better QoS with lower TCO
IoT and Edge Computing: Extracting Insights in Real-Time
HOW TO EXTRACT VALUE FROM EDGE DATA
IoT is Driving Real-Time Analysis at the Network’s Edge
For many IoT applications, it has become critical for data to be screened and analyzed where it is generated - from sensors in a car, surveillance cameras, drones, personal devices, robots, gateways, etc. – and even transformed there. The ability to deliver real-time analytics at the network’s edge can improve operational efficiencies, provide safer driving, create more secure environments, foresee upcoming maintenance, identify customer buying behaviors, and enable a world of opportunities.
Network latency is a challenge. It takes too long to store and forward data, whose value exists now. Edge storage manages data captures and provides the compute capabilities that aggregate and analyze that data in real time, to deliver immediate and actionable insights at the device level.
Up to $11.1T/Year
The IoT market will have a total potential economic impact of $3.9 trillion to $11.1 trillion a year by 20251
507.5ZB by 2020
By 2020, more than five million smart sensors and other IoT devices will be in use around the world, and will generate at least 507.5 zettabytes of data2
47B by 2021
It is estimated that there will be 47 billion connected devices by 20213
What makes real-time analytics at the edge become possible or even preferred, not just now but in years to come, is the possibility of conducting artificial intelligence and machine learning (ML). AI and ML are becoming increasingly more complex, versatile and sophisticated to enable real-time analysis at the edge, on the hub and, ultimately, in the cloud to get more value from all of the IoT data collected. Data can be sent to the cloud, where machine learning and AI can be trained to watch for patterns and gain insights from large data sets over time.
SOURCE: UNTAPPED DATA – GETTING MORE FROM IOT DATA AT THE EDGE AND IN THE CLOUD BY CHRISTOPHER BERGEY, WESTERN DIGITAL (WESTERN DIGITAL BLOG, 5/6/18)
THE VALUE OF EDGE ANALYSIS
Edge Analysis Delivers Real-Time Value
Artificial intelligence (AI), machine learning (ML), image, voice and gesture recognition, and other technologies deployed onto edge devices interact with captured data in real time to deliver valuable insights. The full digestion of analytics can be transferred to the cloud where it can be used to further train AI models for machine learning or archived for future use. The ability to access this information in real time, ultimately, creates a more efficient and effective business, operation, or environment, enabling greater opportunities for monetization of the IoT application.
ENABLING THE POWER AND POSSIBILITIES OF DATA AT THE EDGE
Western Digital Offers an Extensive Portfolio of Products from Devices to Systems and Platforms Designed to Enable the Power and Possibilities of Data Driven by IoT and Edge Computing
IoT Data Lake
IOT DATA LAKE
Effectively Managing Internet of Things Data
One of the biggest challenges that enterprises encounter when exploring how to improve their businesses using Internet of Things (IoT) data is the sheer volume created by sensors. This staggering amount of data impedes the ability to efficiently access, manipulate, and gain insights from the vast and diverse world of data collected.
Cloud object systems were designed to handle the enormous volume of IoT data and can help you aggregate, store, manage and protect data in a centralized hybrid cloud system, while providing the ability to collaborate and share that data across the ecosystem.
20.4
Billion
Installed IoT devices by 20204
$2.93
Trillion
IoT endpoint spending by 20204
SCALABLE CAPACITY TO HANDLE IOT DATA
Object storage solutions built on Western Digital Ultrastar platforms can be designed to handle massive amounts of data, such as that generated by IoT. Our high-density, low-power footprint and compelling economics means you can keep more data online versus deciding what to delete or take offline.
Big Data and Analytics — A Data Lake Infrastructure for the Future
Building a petabyte-scale data lake with one of the lowest TCOs and without compromising performance, scalability, and reliability.
Connected M2M Devices
CONNECTED M2M DEVICES
The Explosion of M2M Connected Devices
Advancements in connectivity and compute miniaturization have fueled an explosion of smart and connected sensors that are used to harvest the benefits of IoT in almost every industry- from ag-tech to medical. And with that number expected to increase to 3.3 billion by 2021, how those devices generate, handle, and communicate data will have a huge impact on many vital industries.
These connected M2M devices require storage in the devices, as well as in the gateways used as aggregation points, and in various points on the network all the way up to the cloud.
13.7
Billion
M2M connections in IoT
By 20215
By 20215
46%
CAGR
2016 to 2021
In global mobile data traffic5
In global mobile data traffic5
A TRUSTED PARTNERS FOR THE IOT MARKET
Adaptive solutions designed to handle everything from small footprint storage for the application stack of smart sensor to an Edge gateway server, while also resistant to high temperatures and humidity. Western Digital offers a variety of storage solutions built to fit the evolving needs of the IoT market.
IoT and Edge Solutions — Connected M2M Devices
For more information regarding Connected M2M Devices, please talk to an expert or send a message using the links below.
Industrial IoT
INDUSTRIAL IOT
Managing the Avalanche of Data in IIoT
A fully Industrial Internet of Things (IIoT) enabled factory uses the latest in sensors, automation, augmented reality (AR), and analytics to ensure the highest quality product. This produces an avalanche of data, and that data needs to be stored and analyzed. While there are different locations in which that can take place, the best place to do that is at the edge, in order to minimize latency and to maximize responsiveness.
That edge gateway forms a pipeline. Low bandwidth data from nearby sources is aggregated into a single stream, and this stream is then processed quickly to detect and respond to critical conditions. Not every bit of data fed into the edge node is returned to the central cloud, and even less critical data is passed on to the data center for further processing. In the IIoT, speed is imperative to make quick decisions and the edge is critical in how quickly data is captured, processed and analyzed.
A TRUSTED PARTNER FOR INDUSTRIAL IOT
Because the data processed by IIoT has a real financial impact on a business, the edge needs to have ultra-reliable storage in a diverse set of form factors that have the performance necessary to minimize latency and maximize responsiveness.
IoT and Edge — Industrial IoT
For more information regarding Industrial IoT, please talk to an expert or send a message using the links below.
IOT EXPERTS AGREE
In ABI Research’s view, one of the most significant trends in the Internet of Things (or the connected world—the Internet of Everything—as a whole) is the shifting balance between edge computing and cloud computing. The early days of the IoT and its conceptual precursor, M2M, have been characterized by the critical role of cloud platforms as application enablers. Intelligent systems have largely relied on the cloud level for their intelligence, and the actual devices of which they consist have been relatively unsophisticated. This old premise is currently being shaken up, as the computing capabilities on the edge level advance faster than those of the cloud level.
SOURCE: EDGE ANALYTICS IN IOT, ABI RESEARCH, 2015
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Disclosures
1. Source: Unlocking the potential of the Internet of Things by James Manyika, Michael Chui, Peter Bisson, Jonathan Woetzel, Richard Dobbs, Jacques Bughin, and Dan Aharon (McKinsey Global Institute, June 2015) 2. Source: Edge computing: A cheat sheet by Mary Shacklett (TechRepublic, June 21, 2017) 3. Source: IoT numbers vary drastically: devices and spending in 2020 by Dennis Knacke (We Speak IoT, 10/6/17) 4. Source: Gartner Says 8.4 Billion Connected “Things” Will Be in Use in 2017, Up 31 Percent From 2016, Press Release (Gartner, 2/7/17) 5. Source: Cisco Visual Networking Index: Forecast and Methodology, 2016–2021 (Cisco, 9/15/17)
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