# AMD Options for collaborations

1. 100% Research Grant
- Expected Outcome: Publication and POC
- Human Resource Development: Postgraduate Student and publications
- Long Term Project: New Knowledge Discovery
- Joint growth between university and collaborator
- End product is prototype and no expectation on implementation
- suitable for project that is related to new finding, algorithm development or alike

3. Research Grant & Consultancy
- Human Resource Development: Postgraduate Student and publications
- The downside is thining the resources for academic research and consultancy at the same time.
- Depending on the project scope; the scope might be difficult to find the synergy between academic and industrial expectation

5. Individual Consultancy
- Short-term project based
- easy to control as project is smaller pieces but potentially lack of cohesion
- common practice of consultancy usually puts more emphasis on advisory services
- the sponsor could own any intellectual property and expect complete confidentiality; no academic publication requirement.

7. UTAR Start-Up Company
- Start-up is expected to be involved in helping client to implement the solution they seek and not just advisory service
- freedom to hire programmers/engineers to work on the implementations
- the sponsor could own any intellectual property and expect complete confidentiality; no acaademic publication requirement.
- no need to train programmer/engineer from the scratch and thus shorten the implementation time
- the project involves buying the skills and expertise (pre-existing know how) of university staff and equipment to work on a specified project

# Estimation

*Depending on the project scale, estimate can varies*

| Item | Research Grant & Consultancy | Individual Consultancy | UTAR Start-Up Company |
| --------------- | ---- | ---- | ---- |
| Manpower needed | | | |
| Cost | | | |
| Duration | | | |
| Success rate | Low | Medium | High |

# Agenda

1. Definition of problem statement and deliverables
1.1 Background information on data flow architecture/API
<mark>Show them the current used case1/2/3 flow + latest diagram and datamining used case </mark>
1.2 Scope of the research, if available
<mark>Problem Statement:
- No analytic and visualization of the existing TF-AMD data
- Harnessing the hidden insight from the existing data structured and non-structured
- No standardized data repository to gather all the data from numerous data source to cater for user requested use case
</mark>
3. Will AMD provide any manpower?
a) AMD staff doing part-time postgrad?
<mark>Time being no.
One engineer will be allocated to work with UTAR pertaining to Big Data</mark>
5. After project is over, will AMD handle own maintainence?
<mark>Yes</mark>
7. Any hardware support? Or software requirements? (Sql and Hadoop)
- <mark>We prefer to handle & manage the HW infra (on premis or cloud), but if the university have the infra + software may be we can tap to that for POC</mark>
- <mark>Big data Software Module is open for proposal, prefer all repository in HDFS data lake format to facilitate Big data analitic process</mark>
9. Scope
1. <mark>Infra and Big Data Framework setup + HDFS Data Lake</mark>
2. <mark>ETL on structure and un-structure data to HDFS data lake</mark>
3. <mark>Analitic base on use case data via ETL</mark>
4. <mark>Visualization of the data as needed</mark>
10. Others
- <mark>NDA</mark>