SDG2030 - Big Data masspsyches

‘Big Data’, is not merely a buzz words in this 4th industrial reform. Like the institutions should not mistake ‘AI’ for ‘ai’, - the true ‘Big Data’ should not be mistaken for collective ‘big psychoses’. The trend of ‘fake news’ indicates that the ‘parallel press apparatuses’ methodically alter facts with such intends. In fact, dysfunctional institutions do suffer from corrupted Big Data – that makes the quality of decision-making critical. Thus, this blog continues the issues of ‘artificial idiocy’ (ai) and sets the focus on the alarmingly big masspsychosis against the Sustainable Development Goals for 2030.

According to Wikipedia, the ‘Big Data’ concerns analyzing, extracting and process extremely large data sets, including capturing, storage, simulations, research, sharing, transfer, visualization, querying and updating. Big Data grows exponentially due to extended collection by devices like phones, cameras, microphones and any kind of IoT. For example, the global data volume grew from 4.4 zettabytes in 2013 to 44 in 2020 - and is expected to be 163 in 2025. Thus, a PC cannot process and analyze that much data, which require hundreds of computer servers. Therefore, public, as well as non-public institutions, should reconsider their data management options. Such solutions of XaaS (Anything as a Service), especially DaaS ‘(Big) Data as a Service’ and PPaaS (Public Properties as a Service) are talked through in blogs like UU20201203 and UU20210303.

The humanity’s perception is shifting due to Big Data. Such high qualitative information can escalate the fundamental values that most ancient philosophers agreed on: that good deed depends on good information. Just like we cannot imagine our perceptions in 100 years, they could not imagen our present Big Data realities. However, computer simulators indicate how we are evolving. Computer games/simulators like Civilization and SimCity can be merged with real enterprise applications like CRM, ERP and CMS. Such simulators cab be operated by anyone, anywhere, anytime and anyhow. However, the UN Big Data for SDG is far too inconsistent to utilize for global surveys, planning and decision making. The solution is simple, yet bureaucratically hindered. The data-formats should be standardized in revised reports versions and databases for to unified terms of time, periods, place, disturbance, size, currency etc.

Furthermore, cyber applications evolve to the concepts of ‘metaverse’ that integrates several kinds of social media. It will also extend the concepts of virtual avatars that provides anyone with global virtual identity, like the global system ‘Second Life’. Anyways, the utilization of 3D color manageable presentations will escalate computer images to a next level, like 2D images did. Talking, interacting and dealing with anyone, anywhere, anytime will most certainly reform most present relations, influences and interactions, - which ultimately escalates the humanities evolution.

The saying “Seeing is believing” (in Big Data) has already proven to be a most powerful influence for important decision-making. Alien manipulation of western democratic elections has already altered parliaments in most decisive ways. Pandemic reporting is sometimes too untrustworthy for public decisions. Riots has been raised and governmental Coup attempts have altered stable constitutions. Even recent weather reports seem to worsen as diluted CO2 campaigns are politically propagated. These examples are merely symptoms on how such negative influence will worsen of Big Data on institutional cyber systems in this decade of the 4th industrial reform. That includes critical Manipulations of SDG related Big Data – that will corrupt the UN 17goals and 169 targets for 2030.

The Big Data Quality is therefore of utmost importance for all the United Nations’ goals and targets for 2030. The UN data sets are too inconsistent and corrupted for qualified decision making. Unqualified trust in the UN Big Data can cause the global constitution to be misguided by ‘ai’, - believing it is ‘AI’. However, the low-quality Big Data can provide vital indications on where to set focus for further on-site investigations. Conclusively, any constitution has to prioritize their data quality as seriously as the institutional monetary budget planning and spending. There should be data-auditors as well as capital auditors.

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UN Sustainable Development Goals