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Save 10% on select orders over $100 and 15% on orders over $250. Offer valid on any WD or SanDisk product, and on qualifying G-Technology products (listed here), or combinations of qualifying products, bought online through the Western Digital Store. Maximum of one purchase per customer. Offer is only valid while supplies last. This offer may not be combined, used in conjunction with or used in addition to any other promotion or offer. This offer does not apply to taxes or shipping costs. Retailers, Resellers and Distributors are excluded from this promotion. This offer is not applicable for any prior purchases and may not be available in all regions of the world. Western Digital reserves the right to change or discontinue this offer at any time without notice. This promotion is valid on 5/3/21 - 5/9/21.
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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)
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.
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
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.
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.
Ultrastar Data60 Hybrid Storage Platform
A cost-effective 4U, 60 bay 12Gb/s JBOD software- defined storage (SDS) system that delivers high density and the flexibility to balance performance with cost and provides up to 840TB¹ of raw storage in a compact and efficient for all your needs in technology.
Hybrid storage platforms for next-generation disaggregated Software-Defined Storage (SDS) environments. Extremely dense form factor provides the flexibility to specify the HDD and SSD combinations to balance capacity, performance and cost.
Hybrid storage servers for demanding workloads in Software-Defined Storage (SDS) environments. With a choice of CPUs, memory, and drives to perfectly balance performance with cost.
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.
Industrial SD Cards
Designed and tested to withstand some of the harshest environmental conditions, our industrial and commercial SD cards take full advantage of a powerful suite of features available in the industrial series of flash storage solutions.
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.
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.
Industrial SD Cards
Designed and tested to withstand some of the harshest environmental conditions, our industrial and commercial SD cards take full advantage of a powerful suite of features available in the industrial series of flash storage solutions.
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.
Forward Looking Statements
This webpage may contain forward-looking statements, including, but not limited to, statements regarding our product and technology portfolio, the capacities, capabilities and applications of, and market for, our products, our strategies and growth opportunities, and market trends. These forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or implied by the forward-looking statements. The risks and uncertainties are discussed more fully in Western Digital Corporation's filings with the Securities and Exchange Commission, including our most recently filed periodic report, to which your attention is directed. Readers are cautioned not to place undue reliance on these forward-looking statements and we undertake no obligation to update these forward-looking statements to reflect subsequent events or circumstances, except as required by law.
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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