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Christopher Ahlberg, CEO of Recorded Future (RF) has a decision to make about th

ID: 434407 • Letter: C

Question

Christopher Ahlberg, CEO of Recorded Future (RF) has a decision to make about the direction of his company. Recorded Future’s “temporal analytics engine” is a set of quantitative and visualization tools that could help predict future events from past events recorded on websites, blogs, Twitter and other public sources. In the past RF had used its tools for governmental and financial services organizations, using each organization’s private data. Now Ahlberg is considering joining a number of other companies in the multi-billion dollar consumer data broker industry. He’s considering the creation of a set of standardized (versus bespoke), Software as a Service applications, using a stockpile of public data, and consumer records. This data will be used to predict consumer or crowd behavior.

QUESTION 1: Which of these sources of this industry’s power is most responsible for these predictive capabilities? Be sure to justify your choice.

A. The rise of “Social Media” throughout the modern world

B. Moore’s Law and the availability of cheap computing power

C. Big Data tools such as Hadoop

D. Inexpensive storage of huge amounts of data

E. Availability of broadband telecommunications capability throughout the modern world

QUESTION 2: Choosing from options in question 1, which of the sources of the data broker industry’s power is least responsible for the power to predict consumer or crowd behavior?

Explanation / Answer

Q1- IT WOULD BE A) THE RISE OF SOCIAL MEDIA THROUGHOUT THE MODERN WORLD WHICH IS THE MOST RESPONSIBLE FOR THESE PRODUCTIVE CAPABILITIES BECAUSE AS MENTIONED IN THE PARAGRAPH THESE ARE TOOLS OF QUALTITATIVE AND VISUAL NATURE AND RECORDED PAST EVENTS ON OTHER SOCIAL MEDIA SITES

Q2- IT HAS TO BE B) MOORE'S LAW AND THE AVAILABILITY OF CHEAP COMPUTING POWER WHICH IS THE SOURCE OF THE DATA BROKER INDUSTRY'S POWER AND ITS THE LEAST RESONSIBLE TO RPEDICT CONSUMER / CROWD BEHAVIOR

MOORES LAW HAS BEEN USED FOR A LONG TIME NOW BUT NOWADAYS THERE ARE NEW AND BETTER METHODS OF OBSERVING DATA

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