Deeper connectivity, Deft Analytics, and Decisive Insights
It is an overwhelmingly accepted fact that the next-generation systems are to be insights-driven to be innately smart in their operations and offerings. The futuristic systems are to be knowledge-filled to be extremely yet elegantly autonomic in their decisions, deeds, and deals. All kinds of systems (physical, mechanical, electrical, electronics and IT) in our midst are adequately empowered with more succulent automation capabilities through data-driven insights. Thus without an iota of doubt, data becomes the new fuel for future. The need for cognitive analytics also goes up significantly to work on those data heaps in order to extract actionable and adroit insights. The timeliness and trustworthiness of knowledge being discovered and disseminated are also being ensured through a host of technologically sound solutions to take precise and perfect decisions in time and to act upon that with all the clarity and confidence.
There are a couple of existential and essential requirements to produce smarter and sophisticated systems in massive quantities. Firstly, the squeezing in a number of next-generation features, functionalities, and facilities inside every kind of IT infrastructures, communication networks, handhelds, wearables, portables, mobiles, and fixed systems through the smart instrumentation at the design stage itself has to be greatly simplified and accelerated. The direct result out of this disruption and transformation is that we will be bombarded with scores of adaptive equipment, wares, kitchen utensils, robots, drones, rigs, consumer electronics and avionics, medical instruments, machines at manufacturing floors, appliances, etc. Precisely speaking, everyday systems getting intrinsically instrumented and interconnected to be intelligent are the most sought-after things in the days ahead. There are single board computers (SBCs), disposable and disappearing elements, a growing family of edge technologies (highly miniaturised sensors, actuators, chips, controllers, codes, tags, stickers, LED lights, beacons, specks, etc.), wireless gateways, device middleware, etc. in order to systematically transition dumb, closed, and inflexible articles into open, flexible, programmable, and remotely monitorable, measurable and manageable artifacts. That is, every common, cheap and casual thing in our personal, professional and social environments becomes productively digitized and succulently smart.
Secondly, everything has to have the much-insisted external connectivity, communication and collaboration capability. That is, any purposeful interactions, collaborations, corroborations, and correlations among connected devices, digitized and sentient materials are to result in a lot of usable and reusable data. In addition, all these ground-level devices are getting hooked with remotely held cyber applications. Now with software-defined clouds emerging as the one-stop, highly scalable, available, adorable, affordable, automated, and composable IT solution, there are increased focuses on seamlessly and spontaneously integrating everything with software applications, various enablement platforms, different analytic engines, middleware solutions, and databases getting hosted on private cloud, public cloud, hybrid cloud, and edge / fog / device cloud environments to bring forth hitherto unknown and path-breaking possibilities and opportunities. Resultantly there will be billions of connected devices and trillions of digitized elements and smart materials in the near future. The most game-changing applications being thought through and worked include connected vehicles, healthcare, energy, utility, cities, buildings, retail, supply chain, manufacturing, etc.
Thus with the faster emergence and convergence of a bevy of promising and proven technologies and tools, the data size getting generated, garnered, and subjected to a variety of intense investigations is growing exponentially. Further on, the data structure, scope, and speed are also rapidly changing towards producing better and bigger services for the humanity. It is being projected that there will be millions of software services due to the uninhibited advancements and noteworthy developments in the IT space. These services can be publicly discoverable, accessible, usable, and composable through a dazzling array of automated tools to design, develop, debug, deploy, deliver and decommission cognition-attached applications. In other words, with the faster adoption and adaption of Microservices architecture (MSA), the faster and simpler realization of process-aware, people-centric, cloud-hosted, event-driven, service-oriented, knowledge-filled, and composite applications is at hand.
The deeper connectivity among all sorts of participating and contributing devices and digitized entities is laying a stimulating and sustainable foundation for the salivating era of big, fast, streaming and IoT data. Similarly, there are a number of processing methods such as batch, real-time, streaming, interactive and iterative processing that are well-supported by competent data processing frameworks. There is a myriad of Hadoop distributions for easing out big data analytics, robust and resilient real-time processing platforms such as Apache Spark, SAP HANA, etc. and versatile streaming analytics solutions such as Kafka and Spark streaming, Flink, Storm, etc. Similarly, there are several product vendors bringing forth IoT application enablement platforms (AEPs) and analytics solutions that are made available on local, traditional IT and cloud environments for wider subscription and usage.
Finally, the era of cognition is slowly yet steadily set in. Every process, infrastructure, service, system, and solution are becoming cognitive with the unprecedented and delectable advancements in the fields of artificial science (AI), natural language processing (NLP), machine learning (ML), neural networks (NN), genetic algorithm (GA), etc. The complicated process of data analytics is also set to become cognitive to produce innumerable sophisticated applications. All kinds of big, discrete, and continuous data are bound to be captured, cleansed, and crunched through a litany of automated analytics tools to generate timely, tactic and strategic insights.
Having understood the strategic implications of the IoT domain for the total humanity, we have recently brought in a comprehensive yet compact book. The book is stuffed with a lot of content explaining the various technologies, techniques, tips and tools. A few chapters are specially crafted for conveying the powerful industry use cases that are being accomplished through the IoT concepts. There is a chapter on edge/fog computing in order to accentuate edge analytics through edge clouds. The IoT security challenges and concerns are manifold and hence there is a chapter on that topic too. The link for the book is http://www.amazon.in/Internet-Things-Enabling-Technologies-Platforms/dp/1498761283.