Open Data Machine Readable Information

Two people walk down the street side by side, each looking down into his hands attentively. Both occasionally sneak glances upwards, so as not to run into anyone. They walk in silence until it is time for them to go their separate ways; they then mutter hasty goodbyes, and turn to face their pixelated companions once more. A seemingly morbid depiction, perhaps, but one that is increasingly more representative of our modern reality. In the PBS Frontline interview 'Digital Demands, ' Sherry Turkle, MIT professor and researcher, examines this new trend. Her sage advice to youth: tread carefully on the Data Highway, for its overages are far costlier than estimated. Turkle 's thesis: a lack of precise deliberation in the use of technology

They used facts and arguments from various sources, such as studies and authors. As they are introducing the topic, they use the ideas of Lev Manovich to justify their argument that the name “Big Data” can be misleading. Manovich observed that Big Data has been used to refer to data sets large enough to require supercomputers, yet large amounts of data can now be analyzed on much simpler computers. Boyd and Crawford contend that the value of the industry does not simply come from the large data sets, but the “patterns that can be derived by making connections between pieces of data…” By relating Manovich’s idea, their argument made more sense. As computers become more advanced, bigger data sets look much simpler. But the connections Big Data makes are still valuable, no matter how advanced computers

Through informational interviews with seven industry experts and a thorough literature review, the team explored the concept of “big data” and generated key insights which will guide the Federation’s approach as the organization develops its members’ data analytics capacities. Additionally, the team identified a clear business case for implementing data analytics at CDCUs using strategies appropriate for the level of resources within each individual organization. The team also developed a set of survey questions for the client to use when gauging the level of interest and capacity within any individual CDCU.

Many people have become so immersed in data, that they are unable to recognize the data that they have been exposed to. For example, many college students either watch tv or listen to music while completing homework. Students often time just see this as background noise when in reality this is data that become stored in your unconscious mind. The film Big Data gives a visual account of how much data streaming has impacted society both negatively and positively through the use of data analysis. Data has taken away the ability to remain anonymous and has also sparked a decline in human interpersonal skills. However, Data also has allowed humanity to collect new information providing new solutions to world issues. The film Big Data is able to

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

In a world of data everything we read, write, photograph, video, listen to, in fact everything we do is online and in a cloud of some description. This is why we need to ensure that our digital lives are safer than ever before.

In the first chapter of Uncharted, the authors Erez Aiden and Jean-Baptiste Michel explains and defines big data and how has it affected history. The authors gave stories when data was important and began to impact how man can do things easier than in the past. They give an example of counting sheep and how symbols represented numbers were more sufficient than counting by hand. Overall, the text shows the advantages of big data and its downfall strengthens the purpose of the text that people are able to track human culture, which is the “core of large corporations.” The essential of the text elaborates how Google Books will eventually surpass the Library of Congress. And technology will make changes in human culture and its major power to

Data collected by a business includes internal data, such as financial or operational information, as well as external data, such as customer or website usage information. Properly analyzing and acting on this vast amount of data can transform the way companies do business and can become their biggest competitive advantage. Leaders of the organization no longer have to rely on their “gut instincts” to make key decisions, instead they will make decisions off historic data and will be able to more easily measure and track the effectiveness of those decisions.

Lohr, Steve. 2013. New York Times, Big Data Is Opening Doors, but Maybe Too Many [Internet]. Available from: http://www.nytimes.com/2013/03/24/technology/big-data-and-a-renewed-debate-over-privacy.html?_r=0. Accessed:

Business thrive when they have the most accurate, up-to-date, and relevant information at their disposal. This information can be used for a plethora of pertinent markers in small and large businesses, relating to accounting, investments, consumer activity, and much more. Big data is a term used to describe the extremely large amounts of data that floods a business every day. For decades, big data has been a growing field, facing controversy on many levels, but as of late, it has been a major innovator in the challenge of making businesses more sustainable. Big data is often scrutinized for its over-generalization and inability to display meaningful results at times. When applied correctly, data analysis can bring earth-altering information to the table.

It is 2012, and Information Technology (IT) is revolutionising society, culture, communication and general Multimedia (MM) in a new fashion. This new fashion is no longer constricted to one continent; it is global. Nor is it constricted to one construct; technology converges ever more rapidly. According to Moore’s law; the doubling of transistors on integrated circuits (ISSCC, 2003) it expects more powerful information technology, and also expect technologies to continue their concrescence to new more powerful appliances with new features. Since the new technologies/features are on the increase via “accelerating returns” (Kurzweil, 2001), there is a concern within this essay and an ever increasing global population in the context of privacy, laws and ethical considerations.

In the increasingly competitive global business environment, each organization needs to take advantage of every tool, opportunity, and advantage it can to achieve the best products and services, to gain and maintain market share, and keep stakeholders happy from investors and workers to supply chain and customers. The advance of data analysis has opened up new vistas to support decision making. Decision support systems (Sauter, 2010) have emerged that process various forms of data to build outcome models. These have been adopted in every segment of society, in the private and public sector, from political campaigns and the military to corporations and nonprofits alike. As a whole, the new set of tools involving the strategic use of data is called business intelligence. Within that general framework, the term analytics refers to the statistical, quantitative use of data to produce explanatory and predictive models for fact-based decision making. (Sauter, 2010).

Ans) Data going digital is not just a technological change. In fact, it’s a major conceptual change, a change that’s sociological, something that has changed how our world works. Its profound.

Abstract: The existing business paradigm of data analytics is set for a transformation. Today, companies are experimenting to replicate the “Outsourced data analytics” model to “Crowdsourced data analytics”. Companies like Kaggle, Crowdanalytix and others are hitting the headlines of top analytics blogs across the globe. The reason is that the new business model promises a drastic decrease in the cost of analytics for companies long with the flexibility to get the problem solved anytime with much less effort. In short, it’s not just crowdsourcing that is the novelty of the concept, but the manner in which it is put to use that steals the show.

The world today is built more with respect to data and data engineering. Data is characterized as "learning picked up through study, correspondence, examination, or direction". When somebody makes this information utilizing their brains, who claims this data? Does this scholarly data get to be open area, profiting society, or can this data be secured with the goal that money related addition can happen as a result of this thought? Originators of new items and advances must comprehend the distinctive sorts of patented innovation with the goal that they can both secure their manifestations and abstain from encroaching on the manifestations of others. Be that as it may, a more extensive effect frequently happens when another item or