The world is now a gigantic network of billions of smart connected devices, connecting every possible object or device with each other, even human bodies are getting connected to artificial smart devices that functions on IoT; secondly, the consequence of these connected jungles of devices is the massive amount of data generation in unlimited velocity and volume.
It will be Internet of Everything, functioning to providing services for meter reading to connected cars, to updating information on the workings of human organs. The Internet of Everything is supported by advanced networks and infrastructure, including 5G, which is considered the foundation for expanding the potential of the connected globe, and Cloud Technology.
Gartner observes that 5G phenomena already projects a world with over 28 billion connected devices by 2020, with 5.5 million new devices set to connect every day in 2016 alone.
With the landing of 5G, not only will there be an explosion of sensory data, but so too will much larger datasets, transmitted and arriving at the target destination in matter of nano seconds
5G will define the next generation of wireless networks, which are expected to reach speeds at least ten times faster than current LTE – that’s 4G –with ultra-low latency. 2016 witnessed major progress in 5G developments, ranging from products prototypes, roadmaps and architecture in place, to industry digitalization pilots and important milestones in vital 5G standardization.
IoT will be the number one driver of data growth for many years forthcoming. The variety of devices producing real-time data will continue to grow as cities, governments, car manufacturers, healthcare, factories, and utilities will be the major drivers
Massive quantities of data are already being generated by ever increasing, billions of smartphone and broadband users every second. If this is to be joined by common cheap sensors in Internet of Things (IoT) devices and 5G networks optimized for machine-to-machine (M2M), the world is to witness billions of machines creating a complex, multifaceted, networked society.
The embedding of 5G networks, IoT, and Cloud technology together is a success recipe to strengthen consumer and industry needs, amplifying required speed, latency and flexibility to make certain complex new applications work better, every time.
Information and Communications Technologies (ICT) are changing shapes at a rapid rate, with factors such as massive urbanization, industrialization of emerging economies, smart city initiatives, and certain key technologies including Big Data and broadband wireless. 5G in particular will drive massive innovation, particularly in an urban environment.
According to Urban ICT: Smart Cities, 5G, Industrial IoT, and Big Data in Manufacturing Market Analysis and Forecasts 2015 – 2020, “Smart City development is emerging as a central point for growth drivers in several viatl ICT areas including: M2M/IoT, Connected Devices, Broadband Wireless, Cloud Computing, Big Data and Analytics. The manufacturing industry is rapidly transforming as technology, competition, and the evolving demands of global consumers dictate the need for continuously improving efficiencies and flexibility. Significant impact from ICT includes machine communications, teleoperation, and integration with IoT”.
This Information Communications Technology is a phenomenon, promising to revolutionize the world of information and data. Large volume of data, the Big Data, which is both structured and unstructured, inundating a business on a day-to-day basis, needs to be analyzed for insights for better decisions and strategic business moves.
The demand for analytics on real-time data streams is increasing rapidly as more devices connect to the Internet. IDC predicts that the worldwide installed base of IoT endpoints will grow at a rate of 21.4% through 2019 to 25.6 billion endpoints with IDC expecting approximately 30 billion connections in 2020.
Big Data is a promising archetype for large scale distributed data management that aims at being able to process large amounts of data beyond the possibilities of traditional database technologies. On the other hand, cloud computing has evolved as a paradigm for distributed computing systems whose goal is to offer software as a service over the Internet.
Though Big Data has been a much talked about the concept for some time, one have not seen anything like the volumes of data that the Internet of Things will produce over the next few years.
The IT challenges that enterprises will face here is from this data explosion, from whether gathering all this data, often in real time, to storing, and then analyzing with perhaps the most important being the question of ingestion.
The ingestion of data is the process of obtaining, importing, and processing data for later – or more pertinently, immediate – use or storage in a database. Ingestion should ideally be done in real time, using a distributed messaging layer.
To make the best use of the data streams produced by the new dimensions of connectivity and networking, the key will be the systems in place to manage data ingestion for the companies.
Organisations will look to install solutions that can easily retain any type of data and move it between various server and software components. This will guarantee the data can be accessed, and worked upon in endless different ways – from being stored for later analysis, to being filtered for real-time analytics, providing the user with the insight necessary to take immediate action.
5G is pronounced to be more than just speedy Internet. It is posed to become the spine of the digital society and economy. It could potentially provide a massively compressed telecommunications infrastructure which integrates processing, storage, and networking into the same system.
Smart machines when connected to the cloud, will be able to use the powerful computational, storage and communication resources of state-of-the-art data centers.
However without organisations making use of the cloud and big data, the benefit of IoT and 5G will remain limited to speed and capacity, with its true potential never realised.
Gathering, analyzing and distributing the vast amount of data of Big Data will help organizations to address issues like company cost reductions, time reductions, new product development and optimized offerings, and smart decision making along with developing marketing and sales strategies that influence analytics, monitoring and real-time reporting to help them segregate their offerings through customized programs and drive new revenues. This can also be functional in determining root causes of failures, issues and defects in near-real time. Recalculating entire risk portfolios in no time and detecting fraudulent behavior before it affects the organization will also be possible.
Today’s intelligent software robotics systems can support rhythmic administrative tasks with current development pushing toward advisory tasks. Cloudification shifts the capabilities of these systems into a new sphere that includes complex problem-solving and decision-making on a mass-market scale.
To find true long-term success, service providers need to develop a sustainable IoT-centric strategy that takes into consideration the business, technology and operational challenges they’ll face and maps out a course of action that fits into their overall business goals.
Big data analytics will trigger us towards all things cloud. Big data analytics is the cloud’s killer application — and also an inextricable component of many other hot, on-demand services that live natively in the cloud. After all, social, mobility, IoT, and security applications are huge sources of big data and also avidly consume both the data and the full range of advanced analytics that leverage it all.
Cloud computing and Big Data are the two top innovation hubs in ICT. Together they have the potential to become key enhancers of social transformation and economic development for many years to come.
Though slow in progress the Cloud will become the central repository for data and analytics. The Cloud offers increased speed in the analysis of data and scalability. Companies not utilizing the Cloud are already lagging behind their competitors, especially in terms analytics.
Many companies are already working to scale out though, while increasing their use of private clouds, they want to have elastic scalability without enormous expenditures of larger infrastructure investment.
