Big Data and Internet of Everything
The statistics below may appear shocking for someone unfamiliar with what the Big Data trend is. The figures reflect how seriously the global business takes the digitization and how all-embracing the latter is becoming. The proliferating devices equipped with different sensors require less and less human assistance to collect and interchange the data they generate.
The mushrooming cloud services offer almost infinite disk space for the zettabytes of data flowing from numerous gadgets of the Internet of Things. The new layer of the reality is emerging on our watch. It covers the Globe like the atmosphere. This layer is becoming denser with new gadgets put into operation every day.
It infiltrates human bodies with nanochips in our blood stream blurring the line between biological and digital. This phenomenon connects each attainable object to the Internet transforming the IoT into the Internet of Everything. Ladies and gentlemen, please welcome the new environment of our cyber-addiction, the Datasphere!
Big numbers for Big Data
- 500 zettabytes (500 000 000 000 terabytes) will be generated annually by all data-generating objects including human bodies by 2019 as Cisco GCI estimates.
- The global market of IoT will grow to $1.3 trillion by 2019 with about 30 billion of IoT endpoints where 40% of all collected and exchanged data resulting from the M2M (machine-to-machine) communication.
- About a million of IoT devices will be sold every hour by 2021 as Gartner predicts.
- The Industrial Internet of Things (IIoT) is to reach $60 trillion by 2030.
- Consumers and business will save about $1 trillion a year from implementing of the IoT devices by 2020.
See also: BRAVE NEW BOT
While the scale of data flow is obvious, the reason why Big Data is so important requires an explanation. The deepest background of gathering data lies in the economics, how odd it may sound. An average customer is not too transparent yet for manufacturers, traders, and marketers to grasp the buyer’s goals from the source.
The decision-making habits, pain-points, hidden behavioral patterns, and other customer-relevant information can be analyzed for further tailor-made offers only by means of collecting the indirect data generated by the environment of devices in which a customer is immersed. The business success relies on the customer satisfaction that, in turn, depends on how well a product or a service resonates with customer’s expectations. Even such a common and elementary data as a customer’s geolocation can give a plethora of meaningful outcomes to those data analysts who are capable to combine this information with other datasets creating a precise image of a target audience.
Thus, the more data about customers you have, the more competitive your product/service can be in the market. The customization making a product/service irresistible in the consumer eye should be concerned as one of the main drivers of the data-collecting rush in which we all participate.
Hyper-Personalization is the clue
The userdata like priorities, interests, habits, inclinations, locations, social media “likes”, and any other user-relevant information comprise the perennial source from where the contemporary smart business absorbs the personalization ideas.
The sharp customization and even the hyper-personalization compose the trend over which every business including app development should start thinking. The Big Data is crucial for constructing the virtual customer personality authentic enough to align with the actual ‘alive’ buyers.
The analytics based on the Big Data gathered from the IoT devices revolutionizes the visibility of patterns and scenarios necessary for the advanced product development. It would not be long before the literally hyper-individual solutions or super-tailor-made products become a norm re-architecting the present consumerism for the sustainable consumption this planet has been requiring for a long time. However, one of the main characteristics of Big Data is crucial in this dimension – its veracity.
Data does not always mean Knowledge
The knowledge is the Power. This is clear enough: I will dominate if I know something while you don’t. The question is what I know. It is not about how much data I have, but about the credibility and actuality of the data. Is it verified and useful for some meaningful outcomes and actions? Can I rely on the gathered data to achieve actionable agenda? The data requires reputation too.
Besides, even reliable and solid data often becomes obsolete too fast to remain of any value after some events any more. For example, the result of a football match is important for the sweepstakes before the game, not after.
Due to the flow of changes in which this world is involved, many valuable data become just a part of history inapplicable even for statistics sometimes. These two peculiarities of data lead to the understanding that the data analytics is necessarily emerged. In most cases, the data itself is too innocent and crude to be implemented instantly.
The mere analysis and synthesis can transform data into the true knowledge. Taking into account the exponentially growing volume of data, the advanced algorithms of AI-powered analytic systems are required.
Besides, identifying the consuming patterns and behavioral correlations, the data analytics organizations will have to get the ultimate access to people’s personal data. Nonetheless, this logical and clear consequence can act as a fear-monger depicting a sinister perspective of a total losing of a self-image being drown under the control of a Big Brother-like artificial intelligence.
This aspect should motivate the society to revise the mere paradigm of such traditional concepts as the personal life, community, social interactions, public security, and the future as such.
The field of the Future is not homogeneous
Let’s conduct a brief mental experiment: please, recollect and compare everything you may remember about such types of the social structures as
- Australian aboriginals having no any State idea up to now;
- Northern Korea’s communist dictatorship;
- Swedish socialism;
- Chinese hyper-industrial proto-democracy
- Russian plutocracy;
- The democracy of the USA.
Get it? Do you really believe that those societies are all approaching the similar future? Far from it, we bet! No matter all people throughout the world can potentially reach the same newest technologies (however, this is not so, in fact). The institutions allowing a society to grasp and implement a technology really matter. Living all together in 2017, some communities are still excited by a possibility of using the obsolete button-type GSM phones while others are not astonished with even 5G networks.
It means the bugaboo of the Global Big Brother belongs rather to sci-fi utopias whichever new technologies may appear. And the Big Data as a tool of the Orwellian control remains unworkable just because of the very nature of the Big Data.
This is (pardon the pun) too big to be totally centralized. In addition, being somehow similar to human thoughts, the data is dynamic generating the continual flow of changes. Any attempt to grasp and fix changes is a losing battle from the outset. Hence, the consolatory conclusion resides in the very human nature and in the unbearable complexity of intersection of events exposed to the only constant thing in this world – to changes.
The one who owns Big Data, owns… just a tool
Indeed, seamless data streams combined with the advanced AI-powered data analytics represent a super effective tool to catch the most holistic picture of the current affairs. No doubt, this can result in building the abnormally profitable business solutions. Needless to say, the societies able to revise the public relations in the way allowing to implement the collected personal data correctly and smoothly will dominate over the rest less tech-savvy ones.
However, the Big Data, the AI-driven analytic systems, the Internet of Everything taking the place of IoT all belongs to the technologies that support organizations as a very effective high-tech tool. The tool empowering its owner with the Knowledge.
Despite the utopian conspiracy appearing here and there with regard to possible enslavement of humanity by the artificial hyper-intelligence, the Big Data collecting & analytics is to be accepted as just another step forward to the humankind evolution in general and to the digitization of things in particular.
This is up to people to decide how to use the knowledge. Indeema hopes the responsibility and ethics we assume will prevent this civilization from any stupid suicidal agendas while mastering the newest IT achievements. “Think global and put things right” is a simple motto all IT developers are to share.