Questão: 3451689

     Ano: 2024

Banca: Qconcursos

Órgão: Banco do Brasil

Prova:    Qconcursos - 2024 - Banco do Brasil - Agente Comercial (Escriturário) |

Unlocking The AI Growth Multiplier For companies across industries, AI can be a powerful growth tool by unlocking insights, capabilities, and productivity. For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers. AI’s contribution to the global economy is currently estimated to be $19.9 trillion through 2030, driving 3.5% of global GDP. Many practical uses of AI are already embedded in industries like financial services, with the technology beginning to transform the way products and services are offered, opening the door to innovation, new operating models, and inspiring how organizations reimagine growth. Advancements in AI have enabled financial institutions to leverage large datasets to generate market insights, use generative AI to help improve decision-making and enhance client experience, and harness machine learning and natural language processing to automate. AI is also being used to develop sophisticated trading algorithms, detect fraud and cyber threats, and enhance personalized financial planning. AI can increase productivity by 40% through automation of repetitive tasks and optimization of workflows, enabling businesses to achieve more in less time and reallocate time saved to more strategic work. Organizations aim to evolve from utilizing AI for basic automation to autonomous operations, focusing on increasing operating leverage through AI-driven processes with appropriate controls and human oversight. This could help streamline operations, enhance efficiencies, and improve risk management and compliance, helping to scale operations and minimize proportional cost increases. AI can also be an important tool for mitigating certain types of risks, as it can help detect anomalies and fraud by continuously monitoring transactions and identifying suspicious activities. AI-enabled scenario creation, analysis, and anomaly detection can help supercharge risk management and control mitigation processes. The next phase of AI for financial institutions involves creating new value streams through AI capabilities, preparing for the evolution of financial market infrastructure, and helping other market participants and clients through their transformation journeys. Companies can share best practices for responsible AI, partner with AI companies for continued innovation, and find ways to facilitate interaction between humans and AI. While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks. Appropriate use of AI within the financial sector relies on comprehensive risk management, governance checks and balances at multiple stages of development, maintaining human involvement through validation, continuous education, and collaborative discourse. The responsible and ethical use of AI is not solely achieved through technical safeguards, governance, advanced models, and knowledge sharing, but also through democratization. Organizations must empower their workforce with knowledge and tools to thrive in an AI-driven world. Providing opportunities for upskilling and encouraging collaboration can help employees harness AI responsibly. Michael Demissie, Christopher Martin and Saed Shonnar. Unlocking The AI Growth Multiplier. Available at: https://www.bny.com/corporate/global/en/insight s/unlocking-the-ai-growth-multiplier.html. Retrieved on: January 28, 2025. Adapted. The main purpose of the text is to:

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Comentários

Questão: 3451690

     Ano: 2024

Banca: Qconcursos

Órgão: Banco do Brasil

Prova:    Qconcursos - 2024 - Banco do Brasil - Agente Comercial (Escriturário) |

Unlocking The AI Growth Multiplier For companies across industries, AI can be a powerful growth tool by unlocking insights, capabilities, and productivity. For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers. AI’s contribution to the global economy is currently estimated to be $19.9 trillion through 2030, driving 3.5% of global GDP. Many practical uses of AI are already embedded in industries like financial services, with the technology beginning to transform the way products and services are offered, opening the door to innovation, new operating models, and inspiring how organizations reimagine growth. Advancements in AI have enabled financial institutions to leverage large datasets to generate market insights, use generative AI to help improve decision-making and enhance client experience, and harness machine learning and natural language processing to automate. AI is also being used to develop sophisticated trading algorithms, detect fraud and cyber threats, and enhance personalized financial planning. AI can increase productivity by 40% through automation of repetitive tasks and optimization of workflows, enabling businesses to achieve more in less time and reallocate time saved to more strategic work. Organizations aim to evolve from utilizing AI for basic automation to autonomous operations, focusing on increasing operating leverage through AI-driven processes with appropriate controls and human oversight. This could help streamline operations, enhance efficiencies, and improve risk management and compliance, helping to scale operations and minimize proportional cost increases. AI can also be an important tool for mitigating certain types of risks, as it can help detect anomalies and fraud by continuously monitoring transactions and identifying suspicious activities. AI-enabled scenario creation, analysis, and anomaly detection can help supercharge risk management and control mitigation processes. The next phase of AI for financial institutions involves creating new value streams through AI capabilities, preparing for the evolution of financial market infrastructure, and helping other market participants and clients through their transformation journeys. Companies can share best practices for responsible AI, partner with AI companies for continued innovation, and find ways to facilitate interaction between humans and AI. While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks. Appropriate use of AI within the financial sector relies on comprehensive risk management, governance checks and balances at multiple stages of development, maintaining human involvement through validation, continuous education, and collaborative discourse. The responsible and ethical use of AI is not solely achieved through technical safeguards, governance, advanced models, and knowledge sharing, but also through democratization. Organizations must empower their workforce with knowledge and tools to thrive in an AI-driven world. Providing opportunities for upskilling and encouraging collaboration can help employees harness AI responsibly. Michael Demissie, Christopher Martin and Saed Shonnar. Unlocking The AI Growth Multiplier. Available at: https://www.bny.com/corporate/global/en/insight s/unlocking-the-ai-growth-multiplier.html. Retrieved on: January 28, 2025. Adapted. In the sentence of paragraph 1 “For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers.”, the pronoun it refers to

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Comentários

Questão: 3451691

     Ano: 2024

Banca: Qconcursos

Órgão: Banco do Brasil

Prova:    Qconcursos - 2024 - Banco do Brasil - Agente Comercial (Escriturário) |

Unlocking The AI Growth Multiplier For companies across industries, AI can be a powerful growth tool by unlocking insights, capabilities, and productivity. For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers. AI’s contribution to the global economy is currently estimated to be $19.9 trillion through 2030, driving 3.5% of global GDP. Many practical uses of AI are already embedded in industries like financial services, with the technology beginning to transform the way products and services are offered, opening the door to innovation, new operating models, and inspiring how organizations reimagine growth. Advancements in AI have enabled financial institutions to leverage large datasets to generate market insights, use generative AI to help improve decision-making and enhance client experience, and harness machine learning and natural language processing to automate. AI is also being used to develop sophisticated trading algorithms, detect fraud and cyber threats, and enhance personalized financial planning. AI can increase productivity by 40% through automation of repetitive tasks and optimization of workflows, enabling businesses to achieve more in less time and reallocate time saved to more strategic work. Organizations aim to evolve from utilizing AI for basic automation to autonomous operations, focusing on increasing operating leverage through AI-driven processes with appropriate controls and human oversight. This could help streamline operations, enhance efficiencies, and improve risk management and compliance, helping to scale operations and minimize proportional cost increases. AI can also be an important tool for mitigating certain types of risks, as it can help detect anomalies and fraud by continuously monitoring transactions and identifying suspicious activities. AI-enabled scenario creation, analysis, and anomaly detection can help supercharge risk management and control mitigation processes. The next phase of AI for financial institutions involves creating new value streams through AI capabilities, preparing for the evolution of financial market infrastructure, and helping other market participants and clients through their transformation journeys. Companies can share best practices for responsible AI, partner with AI companies for continued innovation, and find ways to facilitate interaction between humans and AI. While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks. Appropriate use of AI within the financial sector relies on comprehensive risk management, governance checks and balances at multiple stages of development, maintaining human involvement through validation, continuous education, and collaborative discourse. The responsible and ethical use of AI is not solely achieved through technical safeguards, governance, advanced models, and knowledge sharing, but also through democratization. Organizations must empower their workforce with knowledge and tools to thrive in an AI-driven world. Providing opportunities for upskilling and encouraging collaboration can help employees harness AI responsibly. Michael Demissie, Christopher Martin and Saed Shonnar. Unlocking The AI Growth Multiplier. Available at: https://www.bny.com/corporate/global/en/insight s/unlocking-the-ai-growth-multiplier.html. Retrieved on: January 28, 2025. Adapted. In the excerpt of paragraph 3 “and harness machine learning and natural language processing to automate”, the term harness can be replaced, with no change in meaning, by

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Comentários

Questão: 3451692

     Ano: 2024

Banca: Qconcursos

Órgão: Banco do Brasil

Prova:    Qconcursos - 2024 - Banco do Brasil - Agente Comercial (Escriturário) |

Unlocking The AI Growth Multiplier For companies across industries, AI can be a powerful growth tool by unlocking insights, capabilities, and productivity. For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers. AI’s contribution to the global economy is currently estimated to be $19.9 trillion through 2030, driving 3.5% of global GDP. Many practical uses of AI are already embedded in industries like financial services, with the technology beginning to transform the way products and services are offered, opening the door to innovation, new operating models, and inspiring how organizations reimagine growth. Advancements in AI have enabled financial institutions to leverage large datasets to generate market insights, use generative AI to help improve decision-making and enhance client experience, and harness machine learning and natural language processing to automate. AI is also being used to develop sophisticated trading algorithms, detect fraud and cyber threats, and enhance personalized financial planning. AI can increase productivity by 40% through automation of repetitive tasks and optimization of workflows, enabling businesses to achieve more in less time and reallocate time saved to more strategic work. Organizations aim to evolve from utilizing AI for basic automation to autonomous operations, focusing on increasing operating leverage through AI-driven processes with appropriate controls and human oversight. This could help streamline operations, enhance efficiencies, and improve risk management and compliance, helping to scale operations and minimize proportional cost increases. AI can also be an important tool for mitigating certain types of risks, as it can help detect anomalies and fraud by continuously monitoring transactions and identifying suspicious activities. AI-enabled scenario creation, analysis, and anomaly detection can help supercharge risk management and control mitigation processes. The next phase of AI for financial institutions involves creating new value streams through AI capabilities, preparing for the evolution of financial market infrastructure, and helping other market participants and clients through their transformation journeys. Companies can share best practices for responsible AI, partner with AI companies for continued innovation, and find ways to facilitate interaction between humans and AI. While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks. Appropriate use of AI within the financial sector relies on comprehensive risk management, governance checks and balances at multiple stages of development, maintaining human involvement through validation, continuous education, and collaborative discourse. The responsible and ethical use of AI is not solely achieved through technical safeguards, governance, advanced models, and knowledge sharing, but also through democratization. Organizations must empower their workforce with knowledge and tools to thrive in an AI-driven world. Providing opportunities for upskilling and encouraging collaboration can help employees harness AI responsibly. Michael Demissie, Christopher Martin and Saed Shonnar. Unlocking The AI Growth Multiplier. Available at: https://www.bny.com/corporate/global/en/insight s/unlocking-the-ai-growth-multiplier.html. Retrieved on: January 28, 2025. Adapted. In the fragment of paragraph 7 “While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks.” (paragraph 7), the word “while” indicates:

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Comentários

Questão: 3451693

     Ano: 2024

Banca: Qconcursos

Órgão: Banco do Brasil

Prova:    Qconcursos - 2024 - Banco do Brasil - Agente Comercial (Escriturário) |

Unlocking The AI Growth Multiplier For companies across industries, AI can be a powerful growth tool by unlocking insights, capabilities, and productivity. For financial services, it could go even further by transforming how institutions and individuals interact with their financial services providers. AI’s contribution to the global economy is currently estimated to be $19.9 trillion through 2030, driving 3.5% of global GDP. Many practical uses of AI are already embedded in industries like financial services, with the technology beginning to transform the way products and services are offered, opening the door to innovation, new operating models, and inspiring how organizations reimagine growth. Advancements in AI have enabled financial institutions to leverage large datasets to generate market insights, use generative AI to help improve decision-making and enhance client experience, and harness machine learning and natural language processing to automate. AI is also being used to develop sophisticated trading algorithms, detect fraud and cyber threats, and enhance personalized financial planning. AI can increase productivity by 40% through automation of repetitive tasks and optimization of workflows, enabling businesses to achieve more in less time and reallocate time saved to more strategic work. Organizations aim to evolve from utilizing AI for basic automation to autonomous operations, focusing on increasing operating leverage through AI-driven processes with appropriate controls and human oversight. This could help streamline operations, enhance efficiencies, and improve risk management and compliance, helping to scale operations and minimize proportional cost increases. AI can also be an important tool for mitigating certain types of risks, as it can help detect anomalies and fraud by continuously monitoring transactions and identifying suspicious activities. AI-enabled scenario creation, analysis, and anomaly detection can help supercharge risk management and control mitigation processes. The next phase of AI for financial institutions involves creating new value streams through AI capabilities, preparing for the evolution of financial market infrastructure, and helping other market participants and clients through their transformation journeys. Companies can share best practices for responsible AI, partner with AI companies for continued innovation, and find ways to facilitate interaction between humans and AI. While AI can clearly be a growth multiplier, it is imperative to prioritize the responsible development and usage of this technology given the potential risks. Appropriate use of AI within the financial sector relies on comprehensive risk management, governance checks and balances at multiple stages of development, maintaining human involvement through validation, continuous education, and collaborative discourse. The responsible and ethical use of AI is not solely achieved through technical safeguards, governance, advanced models, and knowledge sharing, but also through democratization. Organizations must empower their workforce with knowledge and tools to thrive in an AI-driven world. Providing opportunities for upskilling and encouraging collaboration can help employees harness AI responsibly. Michael Demissie, Christopher Martin and Saed Shonnar. Unlocking The AI Growth Multiplier. Available at: https://www.bny.com/corporate/global/en/insight s/unlocking-the-ai-growth-multiplier.html. Retrieved on: January 28, 2025. Adapted. From paragraph 8, one can conclude that

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