Assignment Instructions

No need cite Nora Bateson recently introduced the concept of warm data as a complement to big data (cold data). In contrast to cold data, warm data still values and maintains the complex relationships between different data points. To prepare for todays discussion, I want you to: • watch a short video on warm data: https://www.youtube.com/watch?v=f8tTax7ad9gfeature=emb_logo • read an article on warm data: https://hackernoon.com/warm-data-9f0fcd2a828c (Links to an external site.) • and explore the following website: https://www.warmdatalab.net/warm-data (Links to an external site.) Consider 2 questions from the list below and make one separate contribution for each of the 2 questions you select: • In Nora Batesons example about food, what could be concrete examples of warm data? • How do you see warm data being used in the future in computer science? • What are some of the challenges related to warm data? • How does the topic of warm data relate to this course? • What ethical problems related to technology/AI/big data could warm data solve? • What questions would you like to ask Nora Bateson about warm data?. IHP 630 Module Four Activity Guidelines and Rubric
Overview: Healthcare administrators use various financial management tools for analyzing processes, mapping out performance objectives, reviewing case
rates, and reviewing pay-for-performance incentives.
Prompt: Use Google Spreadsheet or Microsoft Excel to chart, outline, or diagram at least three policies and/or processes that you, as a healthcare administrator,
have determined need improvements. Examine the policies and/or processes that you identified within your discussion in Module Three for this activity. In order
to gather three policies and/or processes, you will need to analyze policies and/or processes that your classmates identified as well. Then, organize these three
policies and/or processes, as well as your justification for selecting each. You may use the Module Four Activity Template for this assignment, but using the
template is not required.
Guidelines for Submission: Upload your chart as an XLS file (Excel or Google Spreadsheet or equivalent). You should follow current APA-style guidelines.
Critical Elements Exemplary (100%) Proficient (90%) Needs Improvement (70%) Not Evident (0%) Value
Visual Aid Meets “Proficient” criteria and
demonstrates professional skills
in visual aid creation
Creates a visual aid that clearly
communicates the policies
and/or processes that need
improvements
Creates a visual aid that
articulates the policies and/or
processes that need
improvements but is inaccurate
and/or lacking details
Does not create a visual aid that
articulates the policies and/or
processes that need
improvements
20
Analyze Meets “Proficient” criteria and
includes a variety of scholarly
evidence as support for the
visual aid
Analyzes and determines
policies and/or processes that
need improvements
Analyzes and determines
policies and/or processes that
need improvements but is
inaccurate and/or lacking
details
Does not analyze or determine
policies and/or processes that
need improvements
35
Justification Meets “Proficient” criteria and
supports justification with
explicit details
Justifies the rationale behind
selection of policies and/or
processes that need
improvements
Justifies the rationale behind
selection of policies and/or
processes that need
improvements but is inaccurate
and/or lacking details
Does not justify the rationale
behind selection of policies
and/or processes that need
improvements
35
Articulation of
Response
Submission is free of errors in
organization and grammar
Submission is mostly free of
errors of organization and
grammar; errors are marginal
and rarely interrupt the flow
Submission contains errors of
organization and grammar, but
errors are limited enough so
that the submission can be
understood
Submission contains errors of
organization and grammar
making it difficult to understand
10
Total 10

No need cite Nora Bateson recently introduced the concept of warm data as a complement to big data (cold data). In contrast to cold data, warm data still values and maintains the complex relationships between different data points. To prepare for todays discussion, I want you to: • watch a short video on warm data: https://www.youtube.com/watch?v=f8tTax7ad9gfeature=emb_logo • read an article on warm data: https://hackernoon.com/warm-data-9f0fcd2a828c (Links to an external site.) • and explore the following website: https://www.warmdatalab.net/warm-data (Links to an external site.) Consider 2 questions from the list below and make one separate contribution for each of the 2 questions you select: • In Nora Batesons example about food, what could be concrete examples of warm data? • How do you see warm data being used in the future in computer science? • What are some of the challenges related to warm data? • How does the topic of warm data relate to this course? • What ethical problems related to technology/AI/big data could warm data solve? • What questions would you like to ask Nora Bateson about warm data?

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