Internet of Things (IoT) Cloud
The Gartner Application Strategies and Solutions Summit of 2019 highlighted several emerging areas, no-code and low code. For those who weren’t able to make it to the event, here are top eight ...
As IoT and connected devices continue to grow, organizations must establish best practices and ideal workflows to tackle whatever 2020 — and the future — might hold.
Subscriptions bundled and sold with connected devices is a strategy that shows immense promise. Learn more about this emerging trend and factors to consider as you plan your own strategy.
2019 was a tough year for cloud service providers as outages affected big companies such as Google and Apple, and businesses must implement several preventative steps to ensure their IoT devices ...
Edge computing has advantages in latency, but dealing with failure resiliency and automation, where both distribution and scale are so great, can be especially challenging.
Following the fifth edition of IoT Solutions World Congress, vendors discussed the future of the IoT market and several use cases for IoT platforms and applications.
As the role of video data continues to grow in importance, SMBs will need to look to cloud solutions to keep pace with the ever-evolving surveillance landscape and maintain a competitive advantage.
Where data is stored affects both distribution and connectivity. By keeping data in the right type of storage with dedicated private lines, organizations can improve both performance and security.
Atlas City's Christopher Justice, explores the challenges of smart city IoT infrastructures, and how new technologies can enable smart cities to dramatically improve life for megacity inhabitants.
Organizations across industries have invested in edge computing, but what the edge looks like depends on the context. Red Hat's Gordon Haff explains what IT pros mean when they talk about the edge.
Start with the basics of edge computing, including its advantages and disadvantages. Dell Technologies' Jason Shepherd starts his four-part blog series with foundational knowledge before diving ...
Securing the operational technology and IIoT devices that allow technicians to remotely access and manage machine data is critical. NCP engineering's Julian Weinberger explains how a cloud-based ...
Today's IT professionals must do and know more than they ever had to before. Arcules' Andreas Pettersson outlines why additional skills and knowledge of security, IoT, cloud and collaboration are ...
The cloud has long been a means of communications for connected environments, but it doesn't have to be. Snips' Joseph Dureau outlines the benefits of edge computing in IoT, including the affect it ...
Analyzing the deluge of IoT data created by a growing number of connected devices can be overwhelming. Comarch's Wojciech Martyniak outlines how a multipronged strategy can help enterprises ...
Voice assistants often rely on the cloud for AI, which opens a number of security and privacy holes. Snips' Joseph Dureau outlines why voice assistants don't need the cloud, and discusses the ...
Generating business value from IoT requires well-architected technologies at the edge which cloud developers may be unfamiliar with. Bright Wolf's James Branigan outlines how to get it right at the ...
Cloud computing or edge computing? In today's connected organizations, it's not an either/or question. Bsquare's Dave McCarthy discusses why combining cloud and edge in a distributed computing ...
Edge computing is a critical component of a hybrid cloud strategy, says ClearSky Data's Laz Vekiarides. Organizations not using this type of strategy may be missing out on the real opportunities ...
IoT, AI and cloud create a super team, with the strengths of each compensating for vulnerabilities of others. Deployed together, explains Deloitte's Helena Lisachuk, they can table some of the most ...
The convergence of big data and IoT can provide new opportunities in all industries. However, to get the most from that data, says Peerbits' Shahid Mansuri, it's critical to invest in long-term ...
ServiceMax's Scott Berg discusses the benefits and challenges of connecting industrial sites to the cloud, exploring the considerations of public cloud versus private cloud – and why it's about ...
Many of today's IoT initiatives don't have IT involvement. How are technologies like SD-WAN and edge computing creating more collaborative efforts? MOBI's Josh Garrett discusses.
Exadel's Jonathan Fries offers insights on AI in the cloud, discussing how big providers are driving artificial intelligence to the cloud and explaining how enterprises can choose the best AI ...
Commercial IoT lies between consumer and industrial on the IoT spectrum and has unique design challenges. Rigado's Justin Rigling explains how to best design an edge system for commercial IoT.
The relationship between the cloud and IoT is evolving. Deloitte Digital's Robert Schmid explains where fog computing fits in and the role it plays in an IoT system.
Without the right connectivity to the cloud, IoT applications can suffer. 128 Technology's Erik Thoen explains the importance of IoT connectivity and how to achieve connectivity resilience in an ...
The sheer number of 'things' today is forcing an inevitable shift to the edge. Dell's Jason Shepherd discusses the ins and outs of the IoT edge, as well as the many faces of edge computing.
Arm's Dipesh Patel discusses five key reasons why organizations may want to deploy IoT systems in either an on-premises or hybrid environment versus solely in the public cloud.
As computing models continue to shift between centralized and decentralized, the concept of the edge is growing in popularity. AppDynamics' Jonah Kowall offers insights into edge models from ...
Containers make sense within development environments. Understanding why folks use containers at the edge of an IoT network requires a little more thought. Red Hat's James Kirkland discusses.
Finding the right balance between edge and cloud is the key to success, says Stratus Technolgies' Jason Andersen. With right combination of edge and cloud, organizations can see real ROI and often ...
This is the first of a five-part blog series. So, one of my New Year's resolutions was to blog more, but to date I've been blogging about as much as exercising. That said, as my IoT strategy and ...
As we all know, the increasing sophistication of our workplaces has also created more opportunities for chaos. Crestron's Daniel Jackson explains how the internet of things and cloud computing can ...
Which is better for IoT, the cloud or the edge? Nordic Semiconductor's Svein-Egil Nielsen explains why a combination of both will open up great opportunities for an IoT-enabled world.
Fog computing is emerging as critical to processing IoT data at the edge. But is it for your organization? Yenlo's Ruben van der Zwan discusses a use case of fog computing and how it could affect ...
While the cloud offers many benefits, not every application or use case is best served by it, especially in IoT. Deloitte Digital's Robert Schmid explains where the edge layer fits into the ...
The industrial internet of things is where real societal impacts will manifest. Augury's Saar Yoskovitz offers three predictions for the years ahead.
Current cloud offerings are not adequate to address the IoT and edge market. MapR's Anoop Dawar explains the cloud battle and offers principles to help organizations reinvent their IoT edge systems.
OpenFog Consortium's Lynne Canavan explains why fog computing is critical to the future of AI, IoT and 5G, offering examples and use cases, as well as the SCALE model for fog deployment.
Nearly 99% of all IoT data collected is wasted – but why? HarperDB's Stephen Goldberg explains why the data management industry must transform to solve the problem.
The cloud is absolutely a necessary piece of IIoT deployments, says Stratus' Jason Andersen, but that doesn't mean you should abandon edge computing systems.
Edge computing is rapidly being recognized as a necessity for implementing several industrial IoT use cases, explains MapR Technologies' Will Ochandarena.
While many factory leaders are wary of the cloud, rejecting its use can hinder the ability to gain the benefits from smart manufacturing and IIoT.
Digital transformation driven by IoT is highly beneficial -- and unavoidable if businesses want to remain competitive.
We're moving into an era of decentralized and distributed computing where everything computes together as if peer-to-peer nodes on a global mesh computer.
It will be 2018 in which IoT grows up and offers true innovation. Infiswift's Arup Barat discusses this and more IoT trends for the coming year.
While reflecting on this year, whether the IoT predictions we all made last year came true and looking into the future, a few things stand out to me. First and foremost, companies realizing early ...
The internet of things needs direct device interactions, says Uday Davuluru of Lemonbeat GmbH, or it faces complexity, high costs and user dissatisfaction.
IoT edge platforms that meet five key requirements will simplify short-term deployments while offering long-term flexibility of new enterprise IoT services.
Cloud tools and services used in IoT systems are changing so fast that it's exceedingly difficult to gain mastery and stay current at the same time.
Veeam Software's Rick Vanover takes a look at five IoT trends that he believes will becomes more relevant -- even mainstream -- in the coming year.
AI and edge computing are hot topics, but real-world implementations aren't as simple as they might sound. More With Mobile's Ken Figueredo explains.
Implementing IoT security will be essential to realizing the potential of the internet of things. Learn how a cloud-based, secure SD-WAN can help.
If you're going to collect IoT data, you need to collect it somewhere. This is where database systems come into play.
The next great platform shift is here. Soon, 75% of enterprise-generated data will be created and processed outside traditional data centers and clouds.
The cloud alone can't handle the 4,000 GB that each autonomous car will generate per day -- and cars are just a small part of this emerging ecosystem.
Before extracting value and intelligence from IoT data, companies must understand the difference between content and context relating to an IIoT environment.
Following these three steps, IT leaders can consider the progressions of IoT data and edge computing and prepare for their widespread arrival.
FogHorn's Sastry Malladi explains the basics of fog computing, exploring why it is critical for IoT success in resource-constrained environments.
Ryan Mallory of Equinix explains three reasons that offloading internet traffic at the digital edge can free your business from IoT data gridlock.
The greatest IoT revenue opportunities are in flexible monetization models, such subscription or pay-per-use, says Flexera's Eric Free.
The commingling of public clouds and IoT clouds is a gamble. Fortinet's James Cabe explains how to prevent a tornado (or botnet) from ravaging IoT security.
When it comes to IoT ecosystems, we've been living on the edge for too long now. Uday Davuluru of Lemonbeat GmbH says it's time to move closer to it.
Many of the same challenges that hit the cloud world are reemerging in the IoT space. Fortinet's James Cabe discusses.
The cloud can't process data quickly enough for IoT applications. OIES Consulting's Francisco Maroto discusses how fog/edge is stepping up to the plate.
Cloud architecture is key to the success of IoT; understanding the technologies at your fingertips and how to deploy them is the name of the game.
Deploying a network of platforms, technology and tools that can generate, analyze and receive data directly supports and enhances customer relationships.
Why is it important for organizations to think strategically about IoT interoperability? There are at least three reasons why; learn more.
As the internet of things becomes ubiquitous, we must recognize the effect that increased connectivity is having on the data center.
Edge computing devices can make data available in real-time. Here are three reasons why edge computing should be a key component of your IIoT plan.
Data from IoT devices offers great insight, yet is often underutilized. It's time to overcome the barriers that have stood in the way of leveraging it.
Next-generation IoT platforms that incorporate machine learning will help companies eliminate IoT data exhaust and harness IIoT data as a business asset.
Fog-based drone package delivery will extend the reach of delivery to inaccessible places and reduce the customer wait time between order and delivery.
As fog computing has to play a role in an IoT world, we need to start talking about the business opportunities and disruptions fog computing will bring.
Learn about cloudlets and their relevance as an enabler of the smart edge, an emerging trend in the internet of things.
The IoT edge lets developers move application logic to exactly where the data is located at any moment in time for performance, reliability and security.
Identifying and defining key characteristics of a cloud-based IoT monetization engine will help businesses succeed not just today, but for years to come.
The rapid influx of potentially insecure connected devices poses more targets for cyberattacks, upping the ante for cybersecurity.
2017 will see the emergence of true fog computing and programmable/intelligent edge devices with the strongest security measures to date.
As the Industry 4.0 revolution forms, it's important to carefully consider which platforms are best positioned to deliver on their promises.
Geospatial big data and its use cases in IoT are massive and complex, but with dedicated analysis they are extremely valuable to its user.
There are six critical phases of the digital transformation journey, each critical for those working in the IoT sector to understand.
Fog computing is set to fill technology gaps to meet the requirements of emerging IoT applications, many of which may not work in a cloud-only environment.
Smart home cloud platforms are a growing segment consisting of smart home control and automation system platform as well as smart home device platforms.
Data is the cornerstone of any geospatial workflow. Learn why the cloud will become an essential part of data collection, processing, modeling and analysis.
IIoT is set to change nearly every industry as we know it. Fog computing is key to moving powerful processing currently available in the cloud to the field.
Delve into technological enablers that could be the main building blocks for better IoT security in consumer, enterprise and industrial settings.
A building doesn't have to be a depreciating asset, not when IoT is involved. Learn how smart buildings can be put to work for a range of benefits.
Plan your internet of things roadmap for a connected enterprise using Microsoft Azure and discover how to exploit the true potential of an IoT implementation.
IoT-enabled physical sensors provide a goldmine of information, helping monitor and manipulate supply chain processes to derive critical business insights.
IBM's hybrid cloud commitments mark a fundamental shift in the IoT community, marking an increased access to innovation and processing power.