Welcome!

Mobile IoT Authors: Pat Romanski, Yeshim Deniz, Elizabeth White, Liz McMillan, Zakia Bouachraoui

Related Topics: @ThingsExpo, Mobile IoT, @DXWorldExpo

@ThingsExpo: Blog Post

Next-Gen Applications and the Internet of Things | @ThingsExpo #IoT #IIoT #BigData

A Brave New Connected World for Applications

The Internet of Things has continued to grow at a pace that suggests a staying power beyond a simple buzzword. It permeates nearly every industry across the globe, both industrial and consumer, and although the complexity varies from application to application, the technology has allowed us to rethink the way we live into the future. However, as fun as it is to don the seer's cap and predict all of the wonderful ways connected technology will change our lives, the development of the "back end" of the Internet of Things is proving to be a formidable component in the quest for growth.

As our devices continue to increase in connective capability, the amount of data being transferred every second will continue to grow as well. As the flow of data expands, the mobile and web applications through which the data runs will need to be able to incorporate not only greater amounts, but different kinds of data as well. Many systems are now utilizing location-based data for applications like beacons, tracking, services, etc. This has brought about the next generation of applications.

For the applications that have to-date seen the greatest usage, there is just too much data for them; they're old school; they can't handle that kind of data. They're used to handling one order a day from a person. Take a phone bill, it's just sending a hundred calls a day, that's a lot different than what Google is doing when they're tracking your location and suggesting restaurants, they're handling thousands of data points from each person a day. The order of magnitude is so much higher, so IoT-oriented companies today need to know how to not only do the new stuff, but to hook it to the old stuff, and build the back end that will support this new Internet of Things.

All your appliances, your thermostat, your fire alarms, your doors, your garage door opener, your power grid, your iron, whatever those things are, they're all going to be hooked up, in this connected world. Then you take that to the commercial space: every single street light, every single truck, every single thing will be hooked up. And then you'll be able to connect all those things together and build more intelligent systems. To be able to effectively deploy scarce resources, where it matters the most, and a good place to look at this is farmers are using drones to survey their land to tell soil moisture and fertilizer density. They don't want to spray the same amount of water and fertilizer everywhere, that's very expensive.

The use-cases for IoT technology are expansive. And they should be. But what we see today is a need for those companies that have traditionally built simple function applications, and companies entering the space, to understand the scope of needs that accompany a connected application. Location data, user data and predictive analytics are driving forces behind the Internet of Things for consumers and especially on the industrial side as well. Ensuring that the nuts and bolts of these projects are built for the next generation of needs is the clear need for IoT technology moving forward.

More Stories By Jonathan Fries

With extensive management and development experience, Jonathan has developed a skill set which makes him the ideal person to oversee all of Amadeus Consulting's software development, app development, and software support teams. He enjoys working directly and indirectly on projects to ensure that they ship to the marketplace and achieve the client's vision.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...