more on big data in this IMS blog
more on IoT in this IMS blog
more on big data in this IMS blog
more on IoT in this IMS blog
The Internet of Things (IoT) and Libraries
breakdown of IoT functionality, from Deloitte. They give 5 general types of services that IoT “things” can do:
Examples of IoT in action
There are some pretty well-known IoT products that some of you already use, including:
How does IoT affect libraries?
Here are some ways libraries are already incorporating IoT technology into their libraries:
more on IoT in this IMS blog
proposal for Arduino library counter: https://blog.stcloudstate.edu/ims/2017/11/18/service-based-learning-library-counter/
Arduino Microcontrollers and IoT
More on IoT in this IMS blog
more on Arduino in this IMS blog
By 2020 more than 50 billion things, ranging from cranes to coffee machines, will be connected to the internet. That means a lot of data will be created — too much data, in fact, to be manageable or to be kept forever affordably.
One by-product of more devices creating more data is that they are speaking lots of different programming languages. Machines are still using languages from the 1970s and 80s as well as the new languages of today. In short, applications need to have data translated for them — by an IoT babelfish, if you will — before they can make sense of the information.
Then there are analytics and data storage.
security becomes even more important as there is little human interaction in the flow of data from device to datacentre — so called machine-to-machine communication.
more on IOT in this IMS blog
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By Rhea Kelly 06/05/17
a report from ISACA, a nonprofit association focused on knowledge and practices for information systems. The 2017 State of Cyber Security Study surveyed IT security leaders around the globe on security issues, the emerging threat landscape, workforce challenges and more.
By Sri Ravipati 06/09/17
analysis comes from Cisco’s recent Visual Networking Index for the 2016-2021 forecast period.
To learn more, view the full report.
5 ways to use the Internet of Things in higher ed
But it gets even more interesting when virtual and augmented reality meet the Internet of Things
when Second Life began, there was a lot of interest, but the toolset was limited — just because of the timeframe, not that the toolset wasn’t a good one for that period. But, things matured. I think it was, in particular, the ability to work in HD that improved things a lot. Then came the ability to bring in datasets — creating dashboards and ways for people to access other data that they could bring into the virtual reality experiment. I think those two things were real forces for change.
A dashboard could pop up, and you could select among several tools, and you could get a feed from somewhere on the Internet — maybe a video or a presentation. And you can use these things as you move through this hyper reality: The datasets you select can be manipulated and be part of the entire experience.
So, the hyper reality experience became deeper, richer with tools and data via the IoT; and with HD it became more real.
We can’t deny the fact that curriculum and the way we teach is becoming unbundled. Some things are going to happen online and in the virtual space, and other things will happen in the classroom. And the expense of education is going to drive how we operate. Virtual reality tools, augmented reality tools, and visualization tools can offer experiences that can be mass-produced and sent out to lots of students, machine to machine, at a lower cost. Virtual field trips and other kinds of virtual learning experiences will become much more commonplace in the next 5 years.
I listened to the report in my car yesterday. It is another sober reminder for being proactive rather then reactive (or punitive). We must work toward digital literacy and go beyond that comfortably numb stage of information literacy.
We have basic security in place in modern devices that screen out the most obvious attacks. Really getting phished, if you will, is more of a problem where you are tricked in surrendering your password or username to a common service. If you plug in your webcam into your router or to your Wi-Fi, you’re relatively safe.
I think the biggest security concern for folks at home would be if their router actually is old, it might have an easily guessed password that someone could gain control. Most modern devices don’t have that problem, but that certainly is a concern for older devices.
more on cybersecurity in this blog:
The first step to becoming an IoT Product Manager is to understand the 5 layers of the IoT technology stack.
Devices constitute the “things” in the Internet of Things. They act as the interface between the real and digital worlds.
Embedded software is the part that turns a device into a “smart device”. This part of the IoT technology stack enables the concept of “software-defined hardware”, meaning that a particular hardware device can serve multiple applications depending on the embedded software it is running.
The complexity of your IoT solution will determine the type of embedded Operating System (OS) you need. Some of the key considerations include whether your application needs a real-time OS, the type of I/O support you need, and whether you need support for the full TCP/IP stack.
Common examples of embedded OS include Linux, Brillo (scaled-down Android), Windows Embedded, and VxWorks, to name a few.
This is the application(s) that run on top of the embedded OS and provide the functionality that’s specific to your IoT solution.
Communications refers to all the different ways your device will exchange information with the rest of the world. This includes both physical networks and the protocols you will use.
The cloud platform is the backbone of your IoT solution. If you are familiar with managing SaaS offerings, then you are well aware of everything that is entailed here. Your infrastructure will serve as the platform for these key areas:
Your smart devices will stream information to the cloud. As you define the requirements of your solution, you need to have a good idea of the type and amount of data you’ll be collecting on a daily, monthly, and yearly basis.
Analytics are one of they key components of any IoT solution. By analytics, I’m referring to the ability to crunch data, find patterns, perform forecasts, integrate machine learning, etc. It is the ability to find insights from your data and not the data alone that makes your solution valuable.
The Internet of Things is all about connecting devices and sharing data. This is usually done by exposing APIs at either the Cloud level or the device level. Cloud APIs allow your customers and partners to either interact with your devices or to exchange data. Remember that opening an API is not a technical decision, it’s a business decision.
Related post: The Business of APIs: What Product Managers Need to Plan For
This is the part of the stack that is most easily understood by Product teams and Executives. Your end-user applications are the part of the system that your customer will see and interact with. These applications will most likely be Web-based, and depending on your user needs, you might need separate apps for desktop, mobile, and even wearables.
As the Internet of Things continues to grow, the world will need an army of IoT-savvy Product Managers. And those Product Managers will need to understand each layer of the stack, and how they all fit together into a complete IoT solution.
more on Internet of Things in this blog:
As the cost of sensors and the connectivity necessary to support those sensors has decreased, this has given rise to a network of interconnected devices. This network is often described as the Internet of Things and it is providing a variety of information management challenges. For the library and publishing communities, the internet of things presents opportunities and challenges around data gathering, organization and processing of the tremendous amounts of data which the internet of things is generating. How will these data be incorporated into traditional publication, archiving and resource management systems? Additionally, how will the internet of things impact resource management within our community? In what ways will interconnected resources provide a better user experience for patrons and readers? This session will introduce concepts and potential implications of the internet of things on the information management community. It will also explore applications related to managing resources in a library environment that are being developed and implemented.
Education in the Internet of Things
Bryan Alexander, Consultant;
How will the Internet of Things shape education? We can explore this question by assessing current developments, looking for future trends in the first initial projects. In this talk I point to new concepts for classroom and campus spaces, examining attendant rises in data gathering and analysis. We address student life possibilities and curricular and professional niches. We conclude with notes on campus strategy, including privacy, network support, and futures-facing organizations.
What Does The Internet of Things Mean to a Museum?
Robert Weisberg, Senior Project Manager, Publications and Editorial Department; Metropolitan Museum of Art;
What does the Internet of Things mean to a museum? Museums have slowly been digitizing their collections for years, and have been replacing index cards with large (and costly, and labor-intensive) CMS’s long before that, but several factors have worked against adopting smart and scalable practices which could unleash data for the benefit of the institution, its collection, and its audiences. Challenges go beyond non-profit budgets in a very for-profit world and into the siloed behaviors learned from academia, practices borne of the uniqueness of museum collections, and the multi-faceted nature of modern museums which include not only curator, but conservators, educators, librarians, publishers, and increasing numbers of digital specialists. What have museums already done, what are they doing, and what are they preparing for, as big data becomes bigger and ever more-networked?
The Role of the Research Library in Unpacking The Internet of Things
Lauren di Monte, NCSU Libraries Fellow, Cyma Rubin Fellow, North Carolina State University
The Internet of Things (IoT) is a deceptively simple umbrella term for a range of socio-technical tools and processes that are shaping our social and economic worlds. Indeed, IoT represents a new infrastructural layer that has the power to impact decision-making processes, resources distribution plans, information access, and much more. Understanding what IoT is, how “things” get networked, as well as how IoT devices and tools are constructed and deployed, are important and emerging facets of information literacy. Research libraries are uniquely positioned to help students, researchers, and other information professionals unpack IoT and understand its place within our knowledge infrastructures and digital cultures. By developing and modeling the use of IoT devices for space and program assessment, by teaching patrons how to work with IoT hardware and software, and by developing methods and infrastructures to collect IoT devices and data, we can help our patrons unlock the potential of IoT and harness the power of networked knowledge.
Lauren Di Monte is a Libraries Fellow at NC State. In this role she develops programs that facilitate critical and creative engagements with technologies and develops projects to bring physical and traditional computing into scholarship across the disciplines. Her current research explores the histories and futures of STEM knowledge practices.
What does the internet of things mean for education?
Bryan Alexander: September 17, 2014
I’m not sure if the IoT will hit academic with the wave force of the Web in the 1990s, or become a minor tangent. What do schools have to do with Twittering refrigerators?
Here are a few possible intersections.
the HyFlex model for the fall… reflects a rift between administrators and professors, who are raising alarms over the health risks of teaching in person, and about the logistical, technical, and pedagogical complications of the model itself. Search HyFlex on Facebook and Twitter and you’ll come across comments like this one: “Whoever the hell thought of this is a bean counter, not an educator, and an idiot.”
Teaching experts and others familiar with hybrid teaching say that HyFlex can work, but it requires effective technology, careful planning, instructional support, and creative course design.
“If HyFlex is part of the plan, it has to be done with will faculty participation,” says Brian Beatty, an associate professor of instructional technologies at San Francisco State, who created the model. “Otherwise, if it’s top down and the administration is saying, We’re doing this, then the faculty are saying, But why are we doing this?”
Much of what bothers professors about the push for HyFlex is that so many details about its mechanics remain ill defined. And assumptions about its value seem rooted in a particular idea of teaching, one where the professor stands at the front of a classroom and lectures.
“We are the ones holding the bag if this does not work, or if it’s chaos,” says Michelle Miller, a psychology professor at Northern Arizona University and author of Minds Online: Teaching Effectively With Technology.
Miller is a fan of the original HyFlex model from San Francisco State, but says that colleges need to be mindful that the conditions under which it’s now being adapted — quickly, at scale, and without giving students much choice — will limit its effectiveness.
To work effectively, she says, hybrid teaching requires a lot of support, such as having teaching assistants help manage the complexities of working simultaneously with two different audiences. Otherwise it risks becoming a “lecture-centric, passive consumption view of learning.” That goes against years of hard work faculty members have been doing to make their classrooms more inclusive, active, and engaged.
To help think through pedagogical challenges, faculty groups are testing out teaching strategies, some departments meet weekly to discuss course design, and a student-leadership team is providing feedback and creating online tools to help their peers learn effectively online. Even so, the process has been challenging and frustrating at times for faculty members. Professors are both looking for templates and wanting to maintain control over their courses, which inevitably creates tension with the administration.
more on hyflex in this IMS blog
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