Re: keeping it relevant: The role of the AI KR Strategist:

Thank you Carl
It could be interesting to see a fresh diagram applied to KR, although KR
is not software, so not sure it is applicable


On Sat, Jun 13, 2020 at 9:05 PM carl mattocks <carlmattocks@gmail.com>
wrote:

> Simply put- the diagram summarizes extensive research into Goal driven
> software development. It shows that Goals can change over time and that
> Goals can be dependent. The outcome of the research is an Ontology.
>
> The reference to this study is in previous email discussion about KR
> Ontology. The title of the research is at top of the diagram.
>
> I am sure you will find the research interesting for your academic
> curiousity about Documenting the Software Development Cycle.
>
> Carl
>
> It was a pleasure to clarify
>
>
> On Fri, Jun 12, 2020 at 7:30 PM Paola Di Maio <paola.dimaio@gmail.com>
> wrote:
>
>> Thank you,
>>
>> Could you perhaps explain in a few words what is this diagram how it
>> relates to AI KR what do you expect us to do with it - in which way it
>> supports what we are doing? I am sure if I spend on it some time I could
>> work it out, but since you have brought it up, obviously you have already
>> spent the time doing some thinking about this diagram and what it does
>>
>> Similarly, I would like to suggest that when putting forward some points
>> for consideration and discussion (for example, goals in a plan)  proponents
>> provide some arguments to show how what they are suggesting is relevant to
>> the context of KR,  for example a discussion on quality should be related
>> to  AI KR quality, and be based on  research  and literature already
>> available on the subject.(since there is much work done in this space,
>> please take good notice) and if possible reference to prior art
>>
>> Because the universe of discourse is vast, it can be  resource intensive
>> and time consuming having to argue for or against points which are not even
>> related to KR. I am hoping that this could help us focus our energies
>>
>> PDM
>> On Fri, Jun 12, 2020 at 9:31 PM carl mattocks <carlmattocks@gmail.com>
>> wrote:
>>
>>> To help decide on level of detail  used to define Goal Dependency and
>>> Change to Goal please peruse Figure 31 in Onto4ASGore
>>>
>>>
>>> enjoy
>>>
>>> carl
>>>
>>> It was a pleasure to clarify
>>>
>>>
>>> On Thu, Jun 11, 2020 at 10:43 AM carl mattocks <carlmattocks@gmail.com>
>>> wrote:
>>>
>>>>
>>>> Please peruse this GOAL Dependency approach to sequencing
>>>>
>>>> *Goal Activities*
>>>>
>>>> *Title AI Strategist Goal*
>>>>
>>>> *Goal Dependency*
>>>>
>>>> *AIKR Strategist Protocol*
>>>>
>>>> Give an understanding of the possible applications of AI to
>>>> conversations/decisions about business strategy
>>>>
>>>>
>>>>
>>>> Business Strategy
>>>>
>>>>
>>>>
>>>> Document, Requirements, Quality, Robust, Ontological Statements,
>>>> Ethics, Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Identify which areas of the requirements warrant AI solutions versus
>>>> which can be achieved with other types of solutions
>>>>
>>>>
>>>>
>>>> Requirements
>>>>
>>>>
>>>>
>>>> Business Strategy, Document, Quality, Robust, Ontological Statements,
>>>> Ethics, Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Document the vision, values, goals, objectives for one or more AIKR
>>>> objects
>>>>
>>>>
>>>>
>>>> Document
>>>>
>>>>
>>>>
>>>> Business Strategy, Requirements, Quality, Robust, Ontological
>>>> Statements, Ethics, Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Define the limits of quality. If a product has limits of
>>>> quality/action, then these should be stated
>>>>
>>>> Quality
>>>>
>>>>
>>>>
>>>> Business Strategy, Document, Requirements, Robust, Ontological
>>>> Statements, Ethics, Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Evaluate machine learning models
>>>>
>>>>
>>>>
>>>> Machine Learning Evaluation
>>>>
>>>>
>>>>
>>>> Business Strategy, Document, Requirements, Quality, Robust, Ontological
>>>> Statements, Ethics, Lawful, Track
>>>>
>>>> yes
>>>>
>>>> Track AIKR object performance outcome via KPI (Key Performance
>>>> Indicator) based on supervised learning models measurements
>>>>
>>>>
>>>>
>>>> Track
>>>>
>>>>
>>>>
>>>> Document, Requirements, Quality, Robust, Ontological Statements,
>>>>  Machine Learning Evaluation
>>>>
>>>> yes
>>>>
>>>> Ensure AI Systems are designed to handle uncertainty and tolerate
>>>> perturbation from a likely threat perspective, such as, design
>>>> considerations incorporate human, social and technology risk factors
>>>>
>>>>
>>>>
>>>> Robust
>>>>
>>>>
>>>>
>>>> Document, Requirements, Quality, Ontological Statements, Ethics,
>>>> Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Employ ontological statements when explaining AIKR object audit data,
>>>> veracity facts and (human, social and technology) risk mitigation
>>>>
>>>> Ontological Statements
>>>>
>>>>
>>>>
>>>> Business Strategy, Document, Requirements, Quality, Robust, Ethics,
>>>> Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Ensure AI Systems adhere to principles of ethics
>>>>
>>>>
>>>>
>>>> Ethics
>>>>
>>>>
>>>>
>>>> Document, Requirements, Quality, Robust, Ontological Statements,
>>>> Lawful, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Ensure AI Systems comply with all applicable laws and regulations, such
>>>> as, provision audit data defined by a governance operating model
>>>>
>>>>
>>>>
>>>> Lawful
>>>>
>>>>
>>>>
>>>> Document, Requirements, Quality, Robust, Ontological Statements,
>>>> Ethics, Machine Learning Evaluation, Track
>>>>
>>>> yes
>>>>
>>>> Carl Mattocks
>>>>
>>>> It was a pleasure to clarify
>>>>
>>>>
>>>> On Wed, Jun 10, 2020 at 8:46 AM carl mattocks <carlmattocks@gmail.com>
>>>> wrote:
>>>>
>>>>>
>>>>> Please find attached (summary extract below)  Strategic Plan - The
>>>>> role of the AI KR Strategist (A strategist is a person with
>>>>> responsibility for the formulation and implementation of a strategy).
>>>>>
>>>>> To help validate the list of goals we invite proposals for a
>>>>> sequencing (of the goals) that could be the foundation of an AI Strategy
>>>>> Protocol.
>>>>>
>>>>> Please provide your proposals as a reply to this post.. intent is to
>>>>> apply them to the StratMl version at 9:00 am (NY time) June 23 meeting.
>>>>>
>>>>>
>>>>>
>>>>> thanks
>>>>>
>>>>> Carl Mattocks
>>>>> AIKRCG co-Chair
>>>>>
>>>>>
>>>>> Strategic Plan
>>>>>
>>>>> *The role of the AI KR Strategist*
>>>>>
>>>>> For: *Artificial Intelligence Knowledge Representation Community
>>>>> Group (AIKR CG)*
>>>>>
>>>>> Submitted By: *Carl Mattocks*
>>>>>
>>>>> y *CarlMattocks@WellnessIntelligence.Institute*
>>>>>
>>>>> *Overview*
>>>>>
>>>>> This plan defines the role of the AI KR Strategist.
>>>>>
>>>>> Contents
>>>>>
>>>>> *No table of contents entries found.*
>>>>> 1.    Articulation 1.1.    Vision
>>>>>
>>>>> For all AI systems to have clearly and transparently documented goals
>>>>> and performance data showing that they are being achieved.
>>>>> 1.2.    Mission
>>>>>
>>>>> The mission of an AI Strategist is to define the purpose and goals of
>>>>> AI systems, as well as the KPIs by which we can determine if the system is
>>>>> meeting its goals.
>>>>> 1.3.    Scorecard
>>>>>
>>>>>
>>>>>
>>>>> *Goals*
>>>>>
>>>>> *Objectives*
>>>>>
>>>>> *Performance Indicators*
>>>>>
>>>>> *Commentary*
>>>>>
>>>>> *Goals with no perspective*
>>>>>
>>>>> Quality (see pp1)
>>>>>
>>>>> Adherence to Environmental Impacts (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Efficiency (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Ethics (see pp1)
>>>>>
>>>>> Accountability (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Autonomy (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Confidentiality (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Veracity (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Machine Learning Evaluation (see pp1)
>>>>>
>>>>> Track (see pp1)
>>>>>
>>>>> Precision Recall
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Accuracy
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Confusion Matrix
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Per-class accuracy
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Log-Loss
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> AUC-ROC Curve
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> F-measure
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> NDCG
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Regression Analysis
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Quantiles of Errors
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> "Almost correct" predictions
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Trustworthy (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Lawful (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Ontological Statements (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Track (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Business Strategy (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Requirements (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Document (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> Robust (see pp1)
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> 1.4.    Goals....
>>>>>
>>>>> It was a pleasure to clarify
>>>>>
>>>>>
>>>>> On Tue, Jun 9, 2020 at 11:56 PM Paola Di Maio <paola.dimaio@gmail.com>
>>>>> wrote:
>>>>>
>>>>>> oops-
>>>>>> Thanks Carl Owen and Chris
>>>>>> for capturing and sharing.
>>>>>> I repeat here my comment shared with participants after the session -
>>>>>> also pasted below
>>>>>>
>>>>>> if the plan we worked on yesterday is to describe the role of an AI
>>>>>> Strategist
>>>>>> then we need to make explicit what the goal of the role and
>>>>>> associated activities  is/are
>>>>>>
>>>>>> AI systems /software development can be very sophisticated and well
>>>>>> understood practice
>>>>>> in systems/software engineering . It is not a strategy role to do
>>>>>> requirements analysis and write
>>>>>> technical systems specifications, especially not technically advanced
>>>>>> ones
>>>>>>  So we should review and devise an AI strategist/strategy goals
>>>>>> accordingly, taking into account the technical system specifications.
>>>>>> or viceversa?
>>>>>> A strategist could identify the need for a technical system based on
>>>>>> a business problem/need, but then pass the development
>>>>>> to a specialist (a systems developer/engineer) who has the skills to
>>>>>> do so
>>>>>> So upon further reflection, I dont think requirements belong to an ai
>>>>>> strategy. unless better specified
>>>>>>
>>>>>> pdm
>>>>>> paola wrote:
>>>>>> Thanks for starting this plan
>>>>>> As I read what had been drafted I commented with my software/system
>>>>>> developer hat on
>>>>>> The system lifecycle is considered a process, rather than a strategy,
>>>>>> and consists of
>>>>>> identifying requirements, specifications and documentation and all
>>>>>> Its well understood and documented and there are several models, but
>>>>>> the lifecycle itself
>>>>>> is fairly standard, it applies to AI systems as to any system
>>>>>> So before I have a go at reorganising and perhaps streamlining a bit
>>>>>> those goals
>>>>>> I think we should define better what is the role of the AI strategist
>>>>>> does it overlap the role of a ai system analyst and designer (which
>>>>>> is what I have in mind)
>>>>>> ie  identify what needs to be done
>>>>>> or is it more a role to decide HOW these goals need to be achieved in
>>>>>> terms of resources, schedules, policies, coordination with management
>>>>>> etc
>>>>>> Also, as I mentioned, this may depend on what other roles the AI
>>>>>> strategist works with/depends on-
>>>>>> p
>>>>>>
>>>>>>
>>>>>> On Wed, Jun 10, 2020 at 11:45 AM Paola Di Maio <
>>>>>> paola.dimaio@gmail.com> wrote:
>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> On Wed, Jun 10, 2020 at 12:38 AM carl mattocks <
>>>>>>> carlmattocks@gmail.com> wrote:
>>>>>>>
>>>>>>>> Role of Data Scientist has a process that is described in the links
>>>>>>>> below :
>>>>>>>>
>>>>>>>> *Cross-industry standard process for data mining*, known as
>>>>>>>> *CRISP-DM*,[1]
>>>>>>>> <https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining#cite_note-Shearer00-1> is
>>>>>>>> an open standard <https://en.wikipedia.org/wiki/Open_standard> process
>>>>>>>> model that describes common approaches used by data mining
>>>>>>>> <https://en.wikipedia.org/wiki/Data_mining> experts. It is the
>>>>>>>> most widely-used analytics
>>>>>>>> <https://en.wikipedia.org/wiki/Analytics> model
>>>>>>>>
>>>>>>>> https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining
>>>>>>>>
>>>>>>>>
>>>>>>>> these lecture notes provide good background notes
>>>>>>>>
>>>>>>>>
>>>>>>>> https://wiwi.hs-duesseldorf.de/personen/thomas.zeutschler/Documents/HSD_W_ITAiBA_Zeutschler_SS2016_Lecture2_CRSIP_DM.pdf
>>>>>>>>
>>>>>>>>
>>>>>>>> this is an IBM presentation on the  The Data Science Process
>>>>>>>>
>>>>>>>> https://www-01.ibm.com/events/wwe/grp/grp304.nsf/vLookupPDFs/Polong%20Lin%20Presentation/$file/Polong%20Lin%20Presentation.pdf
>>>>>>>>
>>>>>>>>
>>>>>>>> enjoy
>>>>>>>> Carl
>>>>>>>>
>>>>>>>> It was a pleasure to clarify
>>>>>>>>
>>>>>>>>
>>>>>>>> On Tue, Jun 9, 2020 at 12:13 PM Owen Ambur <Owen.Ambur@verizon.net>
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Carl, thanks for leading another productive editing session on the
>>>>>>>>> AIKR CG televideo conference today.  I found myself agreeing with much of
>>>>>>>>> what Paola was saying, and I continue to be impressed by Chris' capability
>>>>>>>>> to comprehend and capture the essence of our dialog in his StratNavApp.
>>>>>>>>> For the benefit of those who were unable to join us, I am providing a link
>>>>>>>>> here
>>>>>>>>> <https://www.stratnavapp.com/StratML/Part1/861566c8-e9be-4642-b52f-f673fa499f4e/Styled>
>>>>>>>>> so that they can view our draft plan as it currently exists.
>>>>>>>>>
>>>>>>>>> I'm sorry that Justin was not able to participate to ensure that
>>>>>>>>> we are capturing the knowledge he has gained in considering the roles of AI
>>>>>>>>> strategists.  However, it would be great if he and others could contribute
>>>>>>>>> their comments and edits on our draft in Chris' app
>>>>>>>>> <https://www.stratnavapp.com/> and perhaps participate in our
>>>>>>>>> text televideo conference on June 23.
>>>>>>>>> While the StratML collection does not yet contain a model
>>>>>>>>> performance plan for Data Scientists, it does include one for Chief Data
>>>>>>>>> Officers (CDOs), at https://stratml.us/drybridge/index.htm#PP4CDO
>>>>>>>>>
>>>>>>>>> Unless someone has a better source, I will soon convert the
>>>>>>>>> contents of this one to StratML format:
>>>>>>>>> https://www.sas.com/en_us/insights/analytics/what-is-a-data-scientist.html
>>>>>>>>>
>>>>>>>>> BTW, Carl, your reference to OASIS's Business Centric Methodology
>>>>>>>>> (BCM) prompted me to convert its content to StratML format at
>>>>>>>>> https://stratml.us/drybridge/index.htm#BCM
>>>>>>>>>
>>>>>>>>> These elements of the BCM are closely related to the purposes of
>>>>>>>>> the StratML standard:
>>>>>>>>>
>>>>>>>>> Objective 1.1: Goals
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c0b98-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Determine the business goals.
>>>>>>>>> Objective 1.3: Participants
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c0d32-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Identify the project participants.
>>>>>>>>> Objective 1.4: COIs
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c0e40-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Identify the Community of Interest.
>>>>>>>>> Goal 2: Goals
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c1106-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Understand the business goals.
>>>>>>>>> Objective 3.3: Standards Bodies
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c1750-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Map interoperability requirements to standard bodies.
>>>>>>>>> Objective 3.4: Formats
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c182c-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Map interoperability requirements to internal legacy system formats.
>>>>>>>>> Objective 3.5: Templates
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c191c-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Capture information in a way that can be reused over time and among
>>>>>>>>> participating organizations.
>>>>>>>>> Objective 3.5.1: Strategies
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c19f8-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Implement strategies for interoperability.
>>>>>>>>> Objective 3.5.5: Standards
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c1da4-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Apply standards for interoperability and contracts.
>>>>>>>>> Objective 3.5.7: Performance
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c206a-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Monitor and manage performance.
>>>>>>>>> Objective 4.1: Standards
>>>>>>>>> <https://stratml.us/carmel/iso/BCMwStyle.xml#_6b2c2b82-aa65-11ea-9885-42f42983ea00>
>>>>>>>>> - Use existing standards.
>>>>>>>>>
>>>>>>>>> It would be great if BCM practitioners were to use the StratML
>>>>>>>>> standard (ISO 17469-1).  Anyone who may wish to apply the BCM template as a
>>>>>>>>> performance plan for their organization in StratML Part 2 format could do
>>>>>>>>> so by clicking on the link provided here.
>>>>>>>>>
>>>>>>>>> Owen
>>>>>>>>>
>>>>>>>>> -------- Forwarded Message --------
>>>>>>>>> Subject: Re: ai strategist role
>>>>>>>>> Date: Tue, 9 Jun 2020 11:22:53 -0400
>>>>>>>>> From: carl mattocks <carlmattocks@gmail.com>
>>>>>>>>> <carlmattocks@gmail.com>
>>>>>>>>> To: Paola Di Maio <paoladimaio10@googlemail.com>
>>>>>>>>> <paoladimaio10@googlemail.com>
>>>>>>>>> CC: Owen Ambur <Owen.Ambur@verizon.net> <Owen.Ambur@verizon.net>,
>>>>>>>>> Chris Fox <chris@chriscfox.com> <chris@chriscfox.com>, Paul
>>>>>>>>> Alagna <pjalagna@gmail.com> <pjalagna@gmail.com>
>>>>>>>>>
>>>>>>>>> Data Scientist is a complimentary role.. which is supported by an
>>>>>>>>> open source method that has strong emphasis on machine learning and is Plan
>>>>>>>>> Do Check Act oriented.
>>>>>>>>>
>>>>>>>>> Carl
>>>>>>>>>
>>>>>>>>> On Tue, Jun 9, 2020, 11:12 AM Paola Di Maio <
>>>>>>>>> paola.dimaio@gmail.com> wrote:
>>>>>>>>>
>>>>>>>>>> Thanks for starting this plan
>>>>>>>>>> As I read what had been drafted I commented with my
>>>>>>>>>> software/system developer hat on
>>>>>>>>>> The system lifecycle is considered a process, rather than a
>>>>>>>>>> strategy, and consists of
>>>>>>>>>> identifying requirements, specifications and documentation and all
>>>>>>>>>> Its well understood and documented and there are several models,
>>>>>>>>>> but the lifecycle itself
>>>>>>>>>> is fairly standard, it applies to AI systems as to any system
>>>>>>>>>> So before I have a go at reorganising and perhaps streamlining a
>>>>>>>>>> bit those goals
>>>>>>>>>> I think we should define better what is the role of the AI
>>>>>>>>>> strategist
>>>>>>>>>> does it overlap the role of a ai system analyst and designer
>>>>>>>>>> (which is what I have in mind)
>>>>>>>>>> ie  identify what needs to be done
>>>>>>>>>> or is it more a role to decide HOW these goals need to be
>>>>>>>>>> achieved in
>>>>>>>>>> terms of resources, schedules, policies, coordination with
>>>>>>>>>> management etc
>>>>>>>>>> Also, as I mentioned, this may depend on what other roles the AI
>>>>>>>>>> strategist works with/depends on-
>>>>>>>>>> p
>>>>>>>>>>
>>>>>>>>>