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title: AMD Options for collaborations

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# 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>