{"id":529,"date":"2024-07-02T07:39:09","date_gmt":"2024-07-02T07:39:09","guid":{"rendered":"https:\/\/uat.crayoninfotech.com\/ai-algos\/?page_id=529"},"modified":"2024-07-02T14:00:30","modified_gmt":"2024-07-02T14:00:30","slug":"faqs","status":"publish","type":"page","link":"https:\/\/uat.crayoninfotech.com\/ai-algos\/faqs\/","title":{"rendered":"Faqs"},"content":{"rendered":"\n
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FAQs<\/h2>\n
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  1. Home<\/a><\/li>\n
  2. FAQs<\/li>\n <\/ol>\n <\/div>\n <\/div>\n\n
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    \n \n Role of AI?\n <\/button>\n <\/h2>\n \n
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    • Equip & Benchmark<\/p><\/li>\n

    • Leadership<\/p><\/li>\n

    • MTM ( Ideas ) Expand Ideas ( )<\/p><\/li>\n

    • Managers<\/p><\/li>\n

    • Strategy-Selection Capital allocation<\/p><\/li>\n

    • Traders<\/p><\/li>\n

    • Generate-Opportunity Catapult risk-reward<\/p><\/li>\n <\/ul>\n <\/div>\n

      \n Generate and cry-out competing and compelling domain choices\n with their latest risk-reward performance. Use as\n circuit breakers<\/b> for existing\n choices or green-shoots<\/b> for\n potential choices. This exactly no-more & no-less is the\n role & utility of decision-supports.\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Does machine make money?\n <\/button>\n <\/h2>\n \n
      \n Traders choices make\/lose money; AI helps generate & cry-out\n competing-choices and their latest live risk-rewards.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n If Trader takes the call what\u2019s use of AI?\n <\/button>\n <\/h2>\n \n
      \n Traders call is not always right \/ always wrong. AI provides\n competing choices every time before the user takes a call; the\n management imperative to make available a running scoreboard of\n latest choices \u2013chances-learning to every decision-event\n every-time\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n What\u2019s role of human-judgment?\n <\/button>\n <\/h2>\n \n
      \n Judgment- in general is an important component in any-practice;\n to the extent spelt into rules it can open itself to continuous\n learning and refinement; and be institutionally-usable across\n domain x time space\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Can I better Predict the future with ai?\n <\/button>\n <\/h2>\n \n
      \n AI does-not predict future. It gives vital learning up to now of\n evolving risk-rewards of different ways of engaging with the\n same-chance.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Does machine have a mind of its-own?\n <\/button>\n <\/h2>\n \n
      \n No. Machine does not have a mind of its own. It only stores &\n plays users\u2019-mind as translated into rules.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n We already have Legacy Team & Strategies\n <\/button>\n <\/h2>\n \n
      \n AI can improve risk-rewards of your own-strategies.\n Significantly improve your team\u2019s performance with ai\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n What if our style is not rule-based?\n <\/button>\n <\/h2>\n \n
      \n Even if Manager & Trader do not use systematic-ways you need\n Systematic yardstick to benchmark- both trader & manager. Set a\n process to continuously improve legacy with competing choices\n from systematic-space at all levels Strategy ; Alpha and\n Learning.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n What if Our View is different from Strategy?\n <\/button>\n <\/h2>\n \n
      \n OR two strategies give Opposite Signals? Remember machine does\n not have a mind of its own; a systematic strategy is another\n voice of expressing [ your-own ideas ]. Your systematic-strategy\n is live with allocated-capital until you retire them as per\n plan.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Does it mean I Start & forget?\n <\/button>\n <\/h2>\n \n
      \n Intervene to set new tasks, review & retire old ones. Except on\n an emergency- once assigned a task let the machine play-out your\n stored mind to its logical end.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n But all this is history \u2013 Will it work in future?\n <\/button>\n <\/h2>\n \n
      \n How wonderfully simple- if\n future = optimized past;<\/b> not at least\n in risk-taking world; so use AI to find-out which learning works\n now & which one has expired !\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Where is Man x Machine Cut-over?\n <\/button>\n <\/h2>\n \n
      \n Machines \u2013 generate (slope-of-performance) of competing\n domain-choices. Man\u2018s \u2013 Call is to translate them as\n (slope-of-promise \/ otherwise)\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n Can AI translate slope of performance-to-promise?\n <\/button>\n <\/h2>\n \n
      \n Yes it can. With rule based ways of learning find out the fate &\n fortune of [a] systematic-way of taking a call. Also generate\n may ways of learning.\n <\/div>\n <\/div>\n <\/div>\n
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      \n \n What\u2019s Management Imperative?\n <\/button>\n <\/h2>\n \n
      \n Man\u2019s Call is not always right\/always wrong in translating slope\n of performance-to-promise or otherwise. Understanding &\n strengthening this decision-process with Learning is management\n imperative.\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n <\/div>\n","protected":false},"excerpt":{"rendered":"

      FAQs Home FAQs Role of AI? Equip & Benchmark Leadership MTM ( Ideas ) Expand Ideas ( ) Managers Strategy-Selection Capital allocation Traders Generate-Opportunity Catapult risk-reward Generate and cry-out competing and compelling domain choices with their latest risk-reward performance. Use as circuit breakers for existing choices or green-shoots for potential choices. This exactly no-more & […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-529","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/pages\/529","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/comments?post=529"}],"version-history":[{"count":2,"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/pages\/529\/revisions"}],"predecessor-version":[{"id":541,"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/pages\/529\/revisions\/541"}],"wp:attachment":[{"href":"https:\/\/uat.crayoninfotech.com\/ai-algos\/wp-json\/wp\/v2\/media?parent=529"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}