TOP TEN (10) TECHNOLOGY TRENDS

January 17, 2017


Forbes Magazine recently published what they consider to be the top ten (10) trends in technology.  It’s a very interesting list and I could not argue with any item. The writer of the Forbes article is David W. Cearley.  Mr. Cearley is the vice president and Gartner Fellow at Gartner.  He specializes in analyzing emerging and strategic business and technology trends and explores how these trends shape the way individuals and companies derive value from technology.   Let’s take a quick look.

  • DEVICE MESH—This trend takes us far beyond our desktop PC, Tablet or even our cell phone.  The trend encompasses the full range of endpoints with which humans might interact. In other words, just about anything you interact with could possibly be linked to the internet for instant access.  This could mean individual devices interacting with each other in a fashion desired by user programming.  Machine to machine, M2M.
  • AMBIENT USER EXPERIENCE–All of our digital interactions can become synchronized into a continuous and ambient digital experience that preserves our experience across traditional boundaries of devices, time and space. The experience blends physical, virtual and electronic environments, and uses real-time contextual information as the ambient environment changes or as the user moves from one place to another.
  • 3-D PRINTING MATERIALS—If you are not familiar with “additive manufacturing” you are really missing a fabulous technology. Right now, 3-D Printing is somewhat in its infancy but progress is not just weekly or monthly but daily.  The range of materials that can be used for the printing process improves in a remarkable manner. You really need to look into this.
  • INFORMATION OF EVERYTHING— Everything surrounding us in the digital mesh is producing, using and communicating with virtually unmeasurable amounts of information. Organizations must learn how to identify what information provides strategic value, how to access data from different sources, and explore how algorithms leverage Information of Everything to fuel new business designs. I’m sure by now you have heard of “big data”.  Information of everything will provide mountains of data that must be sifted through so usable “stuff” results.  This will continue to be an ever-increasing task for programmers.
  • ADVANCED MACHINE LEARNING– Rise of the Machines.  Machines talking to each other and learning from each other.  (Maybe a little more frightening that it should be.) Advanced machine learning gives rise to a spectrum of smart machine implementations — including robots, autonomous vehicles, virtual personal assistants (VPAs) and smart advisors — that act in an autonomous (or at least semiautonomous) manner. This feeds into the ambient user experience in which an autonomous agent becomes the main user interface. Instead of interacting with menus, forms and buttons on a smartphone, the user speaks to an app, which is really an intelligent agent.
  • ADAPTIVE SECURITY ARCHITECTURE— The complexities of digital business and the algorithmic economy, combined with an emerging “hacker industry,” significantly increase the threat surface for an organization. IT leaders must focus on detecting and responding to threats, as well as more traditional blocking and other measures to prevent attacks. I don’t know if you have ever had your identity stolen but it is NOT fun.  Corrections are definitely time-consuming.
  • ADVANCED SYSTEM ARCHITECTURE–The digital mesh and smart machines require intense computing architecture demands to make them viable for organizations. They’ll get this added boost from ultra-efficient-neuromorphic architectures. Systems built on graphics processing units (GPUs) and field-programmable gate-arrays (FPGAs) will function more like human brains that are particularly suited to be applied to deep learning and other pattern-matching algorithms that smart machines use. FPGA-based architecture will allow distribution with less power into the tiniest Internet of Things (IoT) endpoints, such as homes, cars, wristwatches and even human beings.
  • Mesh App and Service ArchitectureThe mesh app and service architecture are what enable delivery of apps and services to the flexible and dynamic environment of the digital mesh. This architecture will serve users’ requirements as they vary over time. It brings together the many information sources, devices, apps, services and microservices into a flexible architecture in which apps extend across multiple endpoint devices and can coordinate with one another to produce a continuous digital experience.
  • INTERNET OF THINGS (IoT) and ARCHITECTURE PLATFORMS– IoT platforms exist behind the mesh app and service architecture. The technologies and standards in the IoT platform form a base set of capabilities for communicating, controlling, managing and securing endpoints in the IoT. The platforms aggregate data from endpoints behind the scenes from an architectural and a technology standpoint to make the IoT a reality.
  • Autonomous Agents and ThingsAdvanced machine learning gives rise to a spectrum of smart machine implementations — including robots, autonomous vehicles, virtual personal assistants (VPAs) and smart advisors — that act in an autonomous (or at least semiautonomous) manner. This feeds into the ambient user experience in which an autonomous agent becomes the main user interface. Instead of interacting with menus, forms and buttons on a smartphone, the user speaks to an app, which is really an intelligent agent.

CONCLUSIONS:  You have certainly noticed by now that ALL of the trends, with the exception of 3-D Printing are rooted in Internet access and Internet protocols.  We are headed towards a totally connected world in which our every move is traceable.  Traceable unless we choose to fly under the radar.

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