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#Why #AI & #Quantum #Computing #Systems #Fail:
Massachusetts Institute of Technology MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) MIT Sloan School of Management: #ArtificialIntelligence #Executive #Guide:
#AI #MachineLearning #DeepLearning #NLP #NaturalLanguageProcessing #RoboticProcessAutomation #RPA #Robotics #Robots #UAV #UGV #Drone #CounterDrone: AIMLExchange.com: C4I-Cyber.com: https://lnkd.in/eJMccrp: https://lnkd.in/eknKzm5:
Princeton University #AI #ML #DL #Quant #Cyber #Crypto #Quantum #Risk #Computing R&D #Presentations: Sponsors Goldman Sachs Citadel: ModelRiskArbitrage.com:
#Integrating #AI #Quantum #RTE Technologies in #Organizational #Business #Processes: Getting #RealTime #Enterprises to Deliver #Real #Business #Performance:
HTML: https://lnkd.in/eeZsiwj:
PDF: https://lnkd.in/ea5wsgu:
CNET #Corporate #Computing #Award:
#Most #Influential #Research: BRINT.com:
#Why #AI & #Quantum #Computing #Systems #Fail?
https://lnkd.in/eX8ktnf:
#WhySystemsFail #Information #Technology AIMLExchange.com
Drawing on lessons learned from #biggest #KM #failure in recent history and debacle of the #new #economy #enterprises, we explain why #AI & #Quantum #Computing #KMS fail and how #risk of such #failures may be #minimized. The key thesis is that #enablers of #Intelligence designed for the #Factory #Engineering #paradigm often unravel and become #constraints in #adapting and #evolving such #systems for #business #environments characterized by #high #uncertainty and #radical #discontinuous #change.:
R&D Ranked for Impact Among #AI #FinTech #Quant #Finance #Nobel #Laureates: https://lnkd.in/epx6zV3
#ControlDoctrine #Systems #Design C4I-Cyber.com
#Risk #Engineering #Resilience
#AI & #Quantum #Systems #Design should ensure that #adaptation & #innovation of #business #performance #outcomes occurs in alignment with #changing #dynamics of the #business #environment.
#QuantumUncertainty #QuantumRealities #QuantumMinds
#DoingThingsRight #DoingTheRightThing
Simultaneously, conceiving #multiple #future #trajectories of the #IT and #human #inputs embedded in the KMS can diminish the risk of #rapid #obsolescence of such systems. Envisioning #business #models not only in terms of #knowledge #harvesting processes for seeking #optimization and #efficiencies, but in combination with ongoing #knowledge #creation processes would ensure that organizations not only succeed in #doing the #thing #right in the short term but also in #doing the #right #thing in the long term. Embedding both these aspects in #enterprise #business #models as simultaneous and parallel sets of #knowledge #processes instead of treating them in isolation would facilitate ongoing #innovation of #business #technology #value #propositions and #customer #value #propositions.
R&D Leading #AI #ML #DL #Quant #Cyber #Crypto #Quantum #Risk #Computing #Practices:
SSRN 83 Top-10 R&D Rankings: Top 1% Authors:
https://lnkd.in/epx6zV3