Re: The role of the AI KR Strategist:

Regarding AIKR object -

Object is a resource as per the https://www.w3.org/RDF/  Resource
Description Framework
<https://en.wikipedia.org/wiki/Resource_Description_Framework> (RDF) which
provides a basic capability to define classes, subclasses, and properties
of objects..Other technologies, like OWL
<https://www.w3.org/2001/sw/wiki/OWL> or SKOS
<http://www.w3.org/2004/02/skos/wiki/Main_Page>, build on RDF and provide
language for defining structured, Web-based ontologies

Acknowledging that definition of  AI and KR  continue to evolve .. and some
challenges persist .. as described in the 1993 paper (attached) titled
 What Is a Knowledge Representation?  which argued that a knowledge
representation plays five distinct roles, each important to the nature of
representation and its basic tasks ..AND ..   suggests that combining
representations is a task that should be driven by insights about how to
combine their theories of intelligent reasoning, not their implementation
mechanisms
https://en.wikipedia.org/wiki/Knowledge_representation_and_reasoning#cite_note-12


First, a knowledge representation is most fundamentally a surrogate, a
substitute for the thing itself, that is used to *enable an entity to
determine consequences* by thinking rather than acting, that is, by
reasoning about the world rather than taking action in it.
Second, it is a set of *ontological commitments,* that is, an answer to the
question, In what terms should I think about the world?
Third, it is a *fragmentary theory* of intelligent reasoning expressed in
terms of three components: (1) the representation’s fundamental conception
of intelligent reasoning, (2) the set of inferences that the representation
sanctions, and (3) the set of inferences that it recommends.
Fourth, it is a medium for pragmatically efficient computation, that is,
the *computational environment in which thinking is accomplished*. One
contribution to this pragmatic efficiency is supplied by the guidance that
a representation provides for organizing information to facilitate making
the recommended inferences.
Fifth, it is *a medium of human expression*, that is, a language in which
we say things about the world.
enjoy

Carl

It was a pleasure to clarify


On Fri, Jun 12, 2020 at 8:25 AM carl mattocks <carlmattocks@gmail.com>
wrote:

>
>
> We will be addressing Evaluation in the discussions around use of (StratMl
> part 2) KPIs which are essential for measuring success of a strategy.
>
> Agreed - KR activities can start only after the goal and scope of the AI
> system have been defined
>
>
>    - Document the vision, values, goals, objectives for one or more *AIKR
>    objects*
>    - Employ ontological statements when explaining *AIKR object* audit
>    data, veracity facts and (human, social and technology) risk mitigation
>
>
>
>
> It was a pleasure to clarify
>
>
> On Thu, Jun 11, 2020 at 8:46 PM Paola Di Maio <paola.dimaio@gmail.com>
> wrote:
>
>>
>> However, we can develop KR say ontologies, which are implementation
>> independent,
>> Perhaps look at the role of the ontologist, to get a sense of the role
>> for the AI KR strategist?
>>
>> I stress that I dont think of this as a strategy but adopting this
>> construct as it is part of the stratml vocab and can be useful way of of
>> looking at it
>> When it comes to ML, as per your table (ML Evaluation) it is definitely
>> not the role of the AI KR strategist to evaluate machine learning imho
>> Track (monitor) and evaluate are part of the same task imho
>>
>> It could be the role of the AI strategist to decide whether ML is needed
>> in the AI, and to evaluate the alternatives
>> The role of the AI KR strategies would be to devise and implement the KR
>> according to the type of AI design/methods being used by the system.
>>
>> The evaluation of a ML techniques irequires different approaches from the
>> evaluation of NL systems, for example
>>
>> On Fri, Jun 12, 2020 at 8:23 AM Paola Di Maio <paola.dimaio@gmail.com>
>> wrote:
>>
>>> Thank you for clarifying. The table is neat and a good starting point
>>> for elaboration. It is a bit scattered but that can be sorted.
>>>
>>>  I dont see KR  though
>>>
>>> 1. Can you please point out which of these items fall under KR? (say,
>>> ontology?)
>>>
>>> my experience, the AI KR development work starts after the case for the
>>> AI system has already been  made, , ie, when the need for the AI system has
>>> already been identified, ( the first two points).  The system design is in
>>> place schedules and resources to be in place,
>>> KR activities are not AI general system development activities.  What I
>>> mean is that KR activities can start only after the goal and scope of the
>>> AI system have been defined.  (not sure whose role is to define them,
>>> perhaps the system developer or the AI strategist)
>>>
>>> On Thu, Jun 11, 2020 at 10:44 PM 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
>>>>>>>>>>
>>>>>>>>>