[Tree] The impact of AI on modernizing workflows for banks, big tech, supply chain management, the ship broking industry, and the oil and gas sector
Version 0.29 (2024-07-16 14:48:53.991000)
updates: The story now includes information on the impact of AI and robotics in the oil and gas sector, including examples of AI implementation in the industry.
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Version 0.28 (2024-07-10 11:54:49.505000)
updates: The story now includes information on the role of data and AI in sustainable shipping, including the challenges faced by the shipping industry and the potential benefits of AI in addressing those challenges.
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Version 0.27 (2024-07-08 19:57:12.635000)
updates: The ship broking industry is being revolutionized by AI
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Version 0.26 (2024-07-04 05:31:11.574000)
updates: Added information about AI in supply chain management
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Version 0.25 (2024-07-03 13:56:12.058000)
updates: The article provides insights from Lilia Christofi on the potential risks and benefits of implementing AI in the financial services industry, emphasizing the need for financial institutions to lead in AI adoption.
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Version 0.24 (2024-07-02 18:46:39.543000)
updates: The new information highlights the use of AI in various aspects of enterprise workflows, including accounting, marketing, customer service, and cybersecurity.
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Version 0.23 (2024-07-01 19:57:26.493000)
updates: Added information about the impact of AI and ML on payroll and benefits management in B2B transactions
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Version 0.22 (2024-06-06 16:12:28.384000)
updates: Integration of information about banks investing in AI and the Innovators 2024 feature
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Version 0.21 (2024-05-01 14:28:07.555000)
updates: The article discusses the groundbreaking innovations in AI and ML that are reshaping cash flow management in B2B payments.
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Version 0.2 (2024-04-25 07:19:42.926000)
updates: Integration of AI in small businesses for automation, customer experiences, and data-driven insights
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Version 0.19 (2024-04-24 10:41:50.155000)
updates: Added information about the impact of AI in marketing
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Version 0.18 (2024-04-19 08:54:18.477000)
updates: Integration of AI into CRM and its impact on businesses
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Version 0.17 (2024-04-19 08:31:18.533000)
updates: Added information about the use of AI in retail banking to enhance customer experience, streamline operations, and improve decision-making processes
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Version 0.16 (2024-04-08 09:38:36.833000)
updates: Integrates the perspective of the rise of AI in the finance sector and highlights the indispensability of financial advisors
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Version 0.15 (2024-04-04 02:08:00.685000)
updates: The Financial Markets Authority in New Zealand supports the use of Gen AI in the finance sector [528eca5d].
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Version 0.14 (2024-03-29 18:31:08.831000)
updates: The Treasury Department report identifies a 'capability gap' in AI use between large and small financial institutions
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Version 0.13 (2024-03-28 16:28:42.197000)
updates: The US Treasury warns of AI cybersecurity risks in the financial sector
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Version 0.12 (2024-03-26 20:59:41.854000)
updates: Investment firms overlooking AI as a cybersecurity risk
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Version 0.11 (2024-03-26 14:19:12.102000)
updates: The use of generative AI by investment advisers and the associated compliance risks
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Version 0.1 (2024-03-11 18:04:54.322000)
updates: Integration of AI in real estate compliance
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Version 0.09 (2024-03-11 18:04:00.401000)
updates: Integration of new information about the role of AI in the internal audit function
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Version 0.08 (2024-03-05 22:58:32.312000)
updates: Integration of an article exploring the impact of AI on the productivity of the legal sector
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Version 0.06 (2024-02-21 13:08:54.344000)
updates: The integration of AI in compliance checking and client interactions
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Version 0.05 (2024-02-18 16:53:17.823000)
updates: Integration of new information about AI in financial services
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Version 0.04 (2024-01-23 14:38:45.952000)
updates: Integration of additional information about AI in the financial sector
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Version 0.03 (2023-12-31 08:15:58.773000)
updates: The article provides insights into specific banks and firms embracing AI, mentions the impact of ChatGPT, and highlights the hiring spree for AI talent in hedge funds and asset management firms.
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Version 0.02 (2023-12-22 22:01:22.269000)
updates: The banking industry is undergoing a transformative shift fueled by advanced artificial intelligence technology, transforming financial chatbots into adept problem-solvers. J.P. Morgan Chase is using real-time data to create intuitive, human-like interactions through generative AI-powered chatbots. Nordic bank has been providing its employees with conversational AI-driven virtual assistants. Dutch neobank has launched a generative AI-driven platform, Finn, to assist its users across Europe in organizing finances and streamlining transaction searches. AI technology is driving a paradigm shift in banking, with financial chatbots becoming adept problem solvers and paving the way for digital assistants that anticipate and understand consumer needs. However, banks must invest in AI solutions that detect and prevent fraud to maintain consumer trust. The potential of AI in consumer banking signals a fundamental shift that will define the industry's future.
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Version 0.01 (2023-12-12 15:37:33.564000)
updates: The global AI in banking market is projected to grow at a CAGR of 33.61% with an estimated market size of USD 66.24 billion by 2029. AI is used in customer interactions, risk management, fraud detection, and decision-making processes. Major players include JPMorgan Chase, Bank of America, Citigroup, HSBC, and Industrial and Commercial Bank of China. AI enables personalized banking experiences and tailored financial products. The market is segmented by application, component, and geography.
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