Fundamentals of Information Systems
9th Edition
ISBN: 9781337097536
Author: Ralph Stair, George Reynolds
Publisher: Cengage Learning
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Chapter 7, Problem 1.3CS
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How NASA can ensure that the individuals and teams can find the data they need within the huge data residing within the KM system?
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Chapter 7 Solutions
Fundamentals of Information Systems
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- What are the major uses of IoT? What are the technology building blocks of IoT? Define cloud computing. How does it relate to PaaS, SaaS, and IaaS? How does traditional analytics make use of location-based data?How can geocoded locations assist in better decision making? How can machine learning be incorporated in this case? Can GPS tracking of field units help to further improve the system? Or will it be too much to handle? What type of analytics are used here (descriptive, predictive, or prescriptive)? Why? Which other field can use a similar strategy?arrow_forwardWhat kind of part may those who specialise in health informatics play in the process of standardising health data?arrow_forwardI would appreciate it if you could elaborate on how the volume, velocity, and diversity of big data applies to the information acquired by Mercy and other healthcare organizations.arrow_forward
- In the face of such tremendous data expansion, what are the most difficult issues to address?arrow_forwardIt is said that the amount of digital data is dou ling every 2 years. Discuss 4 implications and issues associated with this rapid growth of data.arrow_forwardDo you anticipate any difficulties in the sphere of healthcare relating to the sharing of data as a direct consequence of the proliferation of big data?arrow_forward
- What potential role may health informatics specialists play in the effort to standardize health data?arrow_forwardExplain the concept of real-time data replication and its role in disaster recovery and business continuity. What are the benefits and challenges associated with this technology?arrow_forwardDiscuss the intersection of IoT and artificial intelligence, highlighting how machine learning and deep learning are used to make sense of IoT-generated data.arrow_forward
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