Welcome!

Cloud Security Authors: Liz McMillan, Elizabeth White, Pat Romanski, Zakia Bouachraoui, Yeshim Deniz

Related Topics: Eclipse, Mobile IoT, Containers Expo Blog, @CloudExpo, Cloud Security, @ThingsExpo

Eclipse: Blog Feed Post

Internet of Things Usage Models By @Kevin_Jackson | @ThingsExpo [#IoT]

I'll be at Dell World, November 4-7 Austin, TX

Thriving in a Cloud, Big Data, Mobility and Security World

This is the theme at this year's Dell World opening keynote and this view is supported by Gartner's Top 10 Strategic Technology Trends for 2015:

  • Computing Everywhere - As mobile devices continue to proliferate, Gartner predicts an increased emphasis on serving the needs of the mobile user in diverse contexts and environments, as opposed to focusing on devices alone.
  • The Internet of Things - The combination of data streams and services created by digitizing everything creates four basic usage models — Manage, Monetize, Operate and Extend. These four basic models can be applied to any of the four "Internets."
  • 3D Printing - Worldwide shipments of 3D printers are expected to grow 98 percent in 2015, followed by a doubling of unit shipments in 2016. 3D printing will reach a tipping point over the next three years as the market for relatively low-cost 3D printing devices continues to grow rapidly and industrial use expands significantly.
  • Advanced, Pervasive and Invisible Analytics - Analytics will take center stage as the volume of data generated by embedded systems increases and vast pools of structured and unstructured data inside and outside the enterprise are analyzed. Big data remains an important enabler for this trend but the focus needs to shift to thinking about big questions and big answers first and big data second.
  • Context-Rich Systems - Ubiquitous embedded intelligence combined with pervasive analytics will drive the development of systems that are alert to their surroundings and able to respond appropriately.
  • Smart Machines - Deep analytics applied to an understanding of context provide the preconditions for a world of smart machines. This foundation combines with advanced algorithms that allow systems to understand their environment, learn for themselves, and act autonomously.
  • Cloud/Client Computing - The convergence of cloud and mobile computing will continue to promote the growth of centrally coordinated applications that can be delivered to any device. In the near term, the focus for cloud/client will be on synchronizing content and application state across multiple devices and addressing application portability across devices. Over time, applications will evolve to support simultaneous use of multiple devices.
  • Software-Defined Applications and Infrastructure - Agile programming of everything from applications to basic infrastructure is essential to enable organizations to deliver the flexibility required to make the digital business work. Software-defined networking, storage, data centers and security are maturing. Cloud services are software-configurable through API calls, and applications, too, increasingly have rich APIs to access their function and content programmatically. Rules, models and code that can dynamically assemble and configure all of the elements needed from the network through the application are needed.
  • Web-Scale IT - Web-scale IT is a pattern of global-class computing that delivers the capabilities of large cloud service providers within an enterprise IT setting. Web-scale IT does not happen immediately, but will evolve over time as commercial hardware platforms embrace the new models and cloud-optimized and software-defined approaches reach mainstream.
  • Risk-Based Security and Self-Protection - In a digital business world, security cannot be a roadblock that stops all progress. Organizations will increasingly recognize that it is not possible to provide a 100 percent secured environment. Once organizations acknowledge that, they can begin to apply more-sophisticated risk assessment and mitigation tools. On the technical side, recognition that perimeter defense is inadequate and applications need to take a more active role in security gives rise to a new multifaceted approach.

I agree with all of these trends and that's why I will be in Austin, TX from Nov 4-7, attending Dell World. Since the business use of cloud computing is my thing, you will probably be able to catch me at one or more of the following sessions:

The entire line-up is available on-line (http://dellworld.com/wp-content/uploads/2014/08/SalesBrochure-DW14_082614.pdf). I will be there taking notes and hope to run into you there as well.

(This content is being syndicated through multiple channels including Dell Corporation. The opinions expressed are the authors own and do not represent the views of any other company or organization.)

More Stories By Kevin Jackson

Kevin Jackson, founder of the GovCloud Network, is an independent technology and business consultant specializing in mission critical solutions. He has served in various senior management positions including VP & GM Cloud Services NJVC, Worldwide Sales Executive for IBM and VP Program Management Office at JP Morgan Chase. His formal education includes MSEE (Computer Engineering), MA National Security & Strategic Studies and a BS Aerospace Engineering. Jackson graduated from the United States Naval Academy in 1979 and retired from the US Navy earning specialties in Space Systems Engineering, Airborne Logistics and Airborne Command and Control. He also served with the National Reconnaissance Office, Operational Support Office, providing tactical support to Navy and Marine Corps forces worldwide. Kevin is the founder and author of “Cloud Musings”, a widely followed blog that focuses on the use of cloud computing by the Federal government. He is also the editor and founder of “Government Cloud Computing” electronic magazine, published at Ulitzer.com. To set up an appointment CLICK HERE

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...