High-Speed Intelligence in the Era of IoT
September 10, 2015 | BPAEstimated reading time: 1 minute
More and more people, organisations and functions are being connected with devices that in themselves are becoming increasingly intelligent.
Intelligence = Value as people realise the additional services and capabilities that sophistication brings. Facebook, as an example, started as an electronic photo album and has become a powerful and complex vector across social media.
Telecom is driving ahead. 4G, and 5G to follow, continue the Tsunami like sweep of data and communications across all aspects of our lives.
Unmanned smart communication is stepping into a new realm at the M2M level. The relatively simple signals from many of the 50Bn devices expected in the ‘Internet of Things’ will not add a dramatic communications load. But, what about the massive opportunity in data processing as we begin to realise the business opportunities resulting from the generation and capture of data generated through the IOT over the next five years?
The communications backbone continues to see significant increases in demand as data from the IOT will need to be stored, manipulated and communicated to realise its value and most importantly revenue streams.
It could be argued that we are going to move into the next generation of the internet. In this new manifestation, moving large files for video streaming, photos for social media and storage will remain and grow but in addition to this, many small pieces of data (Kilobytes rather than Megabytes or Gigabits’) will be gathered, particularly by commercial transactions. This will have the effect of shifting the load much deeper into the home or the enterprise. Can we use existing technologies; do we need fibre not only to the home or the enterprise but even fibre to the node?
This report is going to look at this new pyridine of big data and analyse how this will affect the Datacomms infrastructure and its impact on the technologies demanded. It will also analyse how systems will need to adapt (Routers, servers, base-stations etc) and how supporting technologies such as ICs, PCBs, Laminates and optical interconnect technology (where applicable) will be required to facilitate this next stage of the internet.
Suggested Items
Nolan’s Notes: Coming to Terms With AI
05/07/2024 | Nolan Johnson -- Column: Nolan's NotesHow fast do things move in the world of data analytics? Here’s an example. We’ve been planning this issue on artificial intelligence for the past few months, and, in fact, I had already written this column about a month ago. Then I went to IPC APEX EXPO and upended it all. I originally had compared AI to drag racing in that (CPU) horsepower and new (data) vehicles have steadily delivered higher performance competition. That seemed pretty accurate given how generative AI models dominated the popular media with amazing results—and sometimes spectacular crashes.
RTX's Advanced Ground System for Space-based Missile Warning Now Operational
05/06/2024 | RTXAn advanced ground system for space-based missile warning developed by Raytheon, an RTX business, is now operational at the U.S. Space Force's Overhead Persistent Infrared Battlespace Awareness Center (OBAC).
Cigent, Swissbit Announce Partnership to Enhance Endpoint Data Security
05/06/2024 | CigentCigent, a leading provider of endpoint data protection solutions, and Swissbit, a leading manufacturer of storage, security, and embedded IoT solutions, today announced a strategic partnership to offer a comprehensive portfolio of secure storage drives designed to safeguard endpoint data against a growing landscape of cyberthreats.
Industrial PC Market Size to Record $1.75 Billion Growth from 2023-2027
05/03/2024 | PRNewswireThe global industrial pc market size is estimated to grow by USD 1.75 billion from 2023 to 2027, according to Technavio. This growth is expected to occur at a Compound Annual Growth Rate (CAGR) of almost 6.29% during the forecast period.
Gartner Survey: 61% of Organizations Evolving D&A Model Due to AI
05/01/2024 | Gartner, Inc.Sixty-one percent of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner, Inc. survey.