- From: Paola Di Maio <paola.dimaio@gmail.com>
- Date: Sun, 14 Jun 2020 07:11:40 +0800
- To: carl mattocks <carlmattocks@gmail.com>
- Cc: W3C AIKR CG <public-aikr@w3.org>
- Message-ID: <CAMXe=SpDeHGn=STta=hgC_C12NQcM1ucYXps-kkOz_=L0q5qYA@mail.gmail.com>
I dont know the story of why the AAAI article does not cite Gruber cannot find it his work in the references But this happens a lot, some academic will publish work done by others and will get credit for it I know for a fact a lot of lurkers or list do exactly that -= There is a much longer list of sources which I am maintaining in my list of references which I hope to share as one of the deliverables for this CG On Sun, Jun 14, 2020 at 6:51 AM Paola Di Maio <paola.dimaio@gmail.com> wrote: > Thank you Carl!! > I have always cited Tom Gruber who wrote about it before the date of the > article > http://www-ksl.stanford.edu/kst/what-is-an-ontology.html > > > On Sat, Jun 13, 2020 at 10:49 PM carl mattocks <carlmattocks@gmail.com> > wrote: > >> >> 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 >>>>>>>>>>>> >>>>>>>>>>>
Received on Saturday, 13 June 2020 23:12:35 UTC