Artificial Intelligence., Big Brother., Big Data, Distribution of wealth, Drones., Globalization, Inequility, Technological revolution
Is our world along with humanity disappearing into the Cloud.?
We as individuals are turning into “walking data generators” ” App Material”
The Beady eye is only going to look a the most contentious realms of Big Data. Technologies that drive the explosion of growth of digital information such as the information collected.
Big Data is disseminated from trillions of devices such as smartphones and embedded sensors.
Huge quantities of digital trace data are collected through digitized devices (captured, for example, via social networks, online shopping, blogs, Apps, ATM withdrawals and the like) and through in-built sensors. The latter technologies include those that are equipped with GPS systems (e.g., smartphones and other surveillance and monitoring devices) and thus have the ability to identify a user’s location.
Ever since the dawn of life with language man has been collecting information. Not until written letters or symbols arrived was this information stored for future generations.
It is now being collected to replace us all with AI.
Knowledge was and still is the power that split the world into cultures- the rich in information and the poor with illiteracy – Slave or Master.
To day data is money and it is re splintering the world into the have and have not’s.
A next-generation retailer will be able to track the behavior of individual customers from Internet click streams, update their preferences, and model their likely behavior in real-time. Traditional advertising is shifting rapidly into the realm of personalized and highly targeted online and mobile ads—the realm of data driven marketing.
Across all industries, including government, healthcare, media, energy, among others, data is becoming central to business operations. Every business is a digital company; and, every customer or employee is a content producer.
Today’s organizations use a plethora of information systems to support their business processes.
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government.
Every business sector now collects data of one form or another, and the future marketplace will have even more computing power at their fingertips to mine customer behavior. Someone from every major industry is looking at the impact of being able to glean data from multiple data sources, structured and unstructured, from Healthcare to agriculture and more.
Businesses are using the power of insights provided by big data to instantaneously establish who did what, when and where.
The world’s volume of data doubles every 18 month.
In all forms it will grow 650 percent over the next five years.
Despite feeling overwhelmed, there’s an insatiable desire for more data.
The information overload is real and causing problems.
There is little or no regulations governing every time you click on a website, post on social media, use a mobile app and comment via email or to call centers, your data is collected for future use.
In my opinion, the world needs proper regulations about how and what kind of data should be collected.
My bigger concerns are related to unsanctioned organizations using my data and inferences about my interests, passions, affiliations and associations for borderline uses about my political, religious, sexual, etc. preferences. Just because a company can collect all kinds of personal information on consumers, it doesn’t mean they should use it willy nilly.
The more is better” philosophy. There in lies the trouble.
Tracking customer preferences and purchases can reveal all kinds of private information, like illnesses, financial problems, even pregnancy.
For example a father recently discovered that his daughter was expecting a baby only because of Target’s TGT – 0.5% customer advertising technology. It analyzing his daughter shopping patterns so the store started to send her coupons for baby products which alerted the father.
Data gathering is not going away.
This should have us concerned, not just about targeted marketing but about what can be inferred about all of us every time we “like” something on FACEBOOK or post a snarky tweet on TWITTER.
From what I can tell, what Big Data does best is spy on individuals and collect useless data that helps people develop false and inaccurate assumptions.
Big Data may have wonderful potential, but we’re still going to have to get better at data exchange and integration before it’s going to have its biggest impact. We’ve spent decades digitizing everything, we should be able to analyze it. The problem is, that’s really hard – and it always has been.
THE BIG QUESTION REMAINS: Who does it belong to, and who should have access to it?
Big Data will let us watch flu outbreaks bloom and direct scarce vaccines to the most critical area’s. Schools are collecting more data than ever on how children are doing. Companies and nonprofits, meanwhile, are racing to put that data to use in the classroom.
Today, we’re at the convergence of these innovations—biotechnology, the ability to remote monitor and sensor, and now Big Data—which puts an augmented reality at our disposal.
However there is an undercurrent of concern about who owns big data and who has the right to access it.
Big Data technologies are at the heart of the intelligent economy and the solutions that enable it.
Big Data technologies are analyzing massive data sets, in science and research as well as mine data to prevent bad actors from committing acts of terror and/or to prevent waste, fraud, and abuse.
Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals.
As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex.
Information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements.
New technology brings new challenges, and they should be properly educated to use it wisely and critically. It is used to study employee performance and retention.
The younger generations are not always aware of the challenges and dangers that come with big data.
Privacy here is a key issue to consider.
I sometimes get frightened to see what younger generations publish on their social media, without being aware how they expose themselves to the outside world. Just think about recommender systems.
When you want to buy a product or service from an online retailer, you are often frustrated because of the many choices and configurations possible. Thanks to an intelligent, analytical recommender system, purchases (and their customer feedback) are continuously monitored to better tailor future recommendations to customers.
Credit card fraud detection system.
In fact, thanks to credit risk analytics, our savings money is now efficiently safeguarded since every bank is obliged (via the Basel III capital accord) to analytically estimate credit losses and make sure it has enough provisions or equity buffers for worst-case scenarios.
Big Data is being used to detect social security fraud, to detect tax evasion fraud, to employ and fire people.
New data stores have emerged increasing the distribution of data and the complexity of securing and protecting that data along with it. It is now harder to protect sensitive data as it may move around between different transactional and analytical data stores as companies create new analytical workloads.
While there is more to do to wrestle big data to the ground. Defense (DOD) is investing approximately $60 million annually for new projects that will harness and utilize massive data in new ways and bring together sensing, perception, and decision support to make truly autonomous systems that can learn from experience, maneuver and make decisions on their own, and understand the limits of their knowledge.
Governments are facing more and more challenges in managing the life cycle of Big Data as government’s traditional silo approach hinders sharing knowledge and working across organizational boundaries.
While emails, instant messages, data files, document files, and scanned images are all driving the growth of Big Data, managing and storing this information — and its growth — are not trivial tasks. It has raised red flags about privacy, which remain unresolved.
The only way to make data totally safe is to not ever use it or keep it. Big Data Discriminates.
Our currents Laws cannot adequately handle the issues raised by Big data.
Just look at the legal complications created by systems using data and algorithms to include and exclude people from various programs.
What we have are porous laws on how this new technology changes previous understandings of civil liberties, not to mention data analysis, machine learning and the work scientists have been doing on non-discriminatory data mining models.
Individuals should be granted meaningful opportunities to challenge adverse decisions based on scores miscategorizing them.
Where data goes in and a decision comes out it’s unclear, or certainly opaque, just how that decision was arrived at. There is no way to trace why a decision was made.
With programmers doing real-life damage without even knowing it. The question is: How do we update our understanding of due process for the 21st century?
These black box issues such as credit-scoring systems should be legal required to make their Systems Transparent.
If you take Google’s search algorithms for instance no one knows how it chooses the direction of its search. Perhaps it directs your search only to its profit. It’s not just about the quality of the user experience.
Drones are becoming more widespread globally, the non military use of drones will add a further deluge of big data:
Cameras, heat and motion sensors, GPS, Bluetooth, Wi-Fi signals, facial recognition and bio metric scanners allow for the growing use of drones in the industrial, agricultural, transportation and retail areas.
The use of drones—theoretically—should only be possible upon individual permit irrespective of the drone’s starting point and final destination.
However enforcement may be difficult.
The only way is a world license that creates an official record of the individuals operating/using drones for a commercial purpose.
In practice, the widespread use of drones for private purposes may result in unreasonable administration in connection with the above, drone users and operators may also be reluctant to provide so detailed information on their activities for confidentiality reasons.
If the drone records flight details for aviation safety considerations, personal data captured but not relevant for this purpose should be anonymised and stored separately or should be made unidentifiable, unrecognizable and inaccessible by the controller immediately after the drone finished flying.
Data should be stored on the drones only temporarily.
For example, during the security surveillance of a property, the drone may record pedestrians’ faces, movements, body-temperature etc., and the devices should be configured in a way which prevents them from this kind of processing. Drones should solely be able to signal the location and fact of an allegedly unauthorized attempt at entry onto the premises.
In practice, this principle should be assessed on a case-by-case basis, as the actual use of the drone may require more extended data processing than envisaged at the beginning. The drone may locate a trespasser who needs to be identified (to ensure to security surveillance purpose), and, in such a case, privacy-by-default settings should not prevent the enforcement of the drone operator’s legitimate interests.
For example, a recording of an agricultural land cannot be used for the surveillance of agricultural workers.
Given the amount of data governments store on citizens and the sensitivity of some of that data, it makes sense for state budgets to carve out funds for someone to shepherd how that data is collected, treated and stored.
Should there be a meaningful data life cycle amidst the sea of data.
In fact , big data may ultimately be a key factor in how nations, not just companies , compete and prosper . Algorithmic decision-making:
In a nutshell, the problem with ‘datification’ is that somebody else may … use the data thus produced – often with purposes different from those originally intended.
Make no mistake about it:
Our future, the future of humanity and the planet hangs in the balance.
Do we have what it takes to disrupt what is…in order to create what can be?
Big data as a high concept will never fully define itself it’s just a big scam. Surveillance programs. High Frequency Stock Trading. Electronic Currency Trading. Dooming us all down to rely on Google.
I hope it die’s a miserable death.