CSR analysis facebook

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Here is a recap of what you, and your group, should be working on for your next project.

You are to do an in depth CSR analysis of the company you did for Ethics #2. The project is divided into two parts

1.      General brainstorming on CSR and an overview of your companys CSR practices followed up with a well elaborated Mind map. Make sure the mind map fits onto the page and not divided into separate images.

2.    An in depth look into your groups opinions and analysis of your chosen company. Do a small comparative analysis with a similar company and see how it differs (better or worse)

Your report should contain the following:
Cover page with topic name and group names
Page numbers
Table of contents
Introduction
Content points, elaborated
Conclusion
Bibliography
Attachments if any

All figures in your text need to have a title and number under the figure itself.

Here are some links that may help you in creating your report.

Let me know if you have any questions.

https://www.theglobeandmail.com/report-on-business/small-business/sb-managing/how-to-write-a-corporate-social-responsibility-policy/article14496600/

https://youmatter.world/en/definition/definitions-csr-report-important-examples/

https://digital.com/blog/csr-small-business/

https://youmatter.world/en/csr-network-ambassadors-sustainability/

A good american

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For each assignment question, the respond should be a 1.5-2 pages essay . Each response of each question should start with an introduction, body paragraph and a conclusion. The body paragraph should contain 6 paragraphs (3 cons and 3 pros). you should start with the strongest con to the weakest con and then write your weakest pro and finish your body paragraph with your strongest pro ( overall 6 paragraphs). Then you have to write a conclusion. The conclusion should only be your opinion based on the last paragraph of you body paragraph which was the strongest pro. In the conclusion part you should elaborate and discuss why you agree with the strongest pro paragraph.

There is no need for citation and it has to be only based on the 2 pages in the English test attachment and no where else.

C# Coding Project

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C# programming project for 100 level course. Goes toward associates degree in CIS. Requires visual basics. Uses windows forms. Instructions and .txt file are included in upload. Finished project should be 3 separate programs. The first one will require the data file included in upload. Text associated with the project is Gaddis, Tony, Starting Out With Visual C#, Fourth Edition, Pearson Education, Inc., 2016. (ISBN 9780134382609)

Evaluate readiness for AI: select F500 company

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please read the decription carefully and the guidance!!
F500 company: Ford motors ,general motors or other automotive company if possible

Guidance:

Draw up a 12-page PPT or Keynote presentation with text notes in each slide (or equivalent of 2000 words (+/-10%)) on the company with rich analytical content on each slide and explanatory slide notes, plus an appendix identifying your survey questions and data sources.

1) Identify a company:
2) Assess this companys current readiness to search, select, develop, implement, and scale AI applications appropriately and responsibly, looking at these three pillars:
– Strategy and governance systems
– Access to data, computing power and talent
– Innovation and operational capabilities
3) Develop actionable recommendations for improving the companys state of AI readiness

Description of Assignment: Evaluate readiness for AI

Please select one F500 corporation and rate its readiness for the AI future in a domain or industry sector of your choice. You will need to determine the criteria used for the measurement as you disclose your work.

Also make sure you differentiate where companies may be ready to integrate AI and where they may instead be at nascent stages of Digital Transformation.

While business managers have widely recognized the strategic importance of AI, implementing and integrating AI remains in early infancy. Because of AIs rapid evolution and the accelerating bloom of new and disruptive cognitive applications, companies will need to develop and commit to an ongoing process that achieves and then maintains preparedness for an era of thinking machines.