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यह सेवा आपके क्षेत्र में उपलब्ध नहीं है।

Amazon Financial Group

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२००३ (23 साल)

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आखिरी बार ऑनलाइन: हाल की कोई गतिविधि नहीं

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द्वारा संचालित TrustFinance

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द्वारा संचालित TrustFinance

Markets.com

(326 समीक्षाएं)

United States

२००८

(18 वर्ष)

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FSCA

सुरक्षा जानकारी

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यह कंपनी वर्तमान में अप्रमाणित.

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लाइसेंस

ए ग्रेड लाइसेंस

विश्व स्तर पर प्रसिद्ध नियामकों द्वारा जारी किए गए, ये लाइसेंस सख्त अनुपालन, फंड सेग्रीगेशन, बीमा और नियमित ऑडिट के माध्यम से उच्चतम व्यापारी सुरक्षा सुनिश्चित करते हैं। विवाद समाधान और AML/CTF मानकों का पालन सुरक्षा को और बढ़ाता है।

बी ग्रेड लाइसेंस

सम्मानित क्षेत्रीय नियामकों द्वारा प्रदान किए गए, ये लाइसेंस फंड सेग्रीगेशन, वित्तीय रिपोर्टिंग और मुआवजा योजनाओं जैसे मजबूत सुरक्षा उपाय प्रदान करते हैं। हालांकि टियर 1 से थोड़ा कम सख्त, वे भरोसेमंद क्षेत्रीय सुरक्षा प्रदान करते हैं।

सी ग्रेड लाइसेंस

उभरते बाजारों में नियामकों द्वारा जारी किए गए, ये लाइसेंस न्यूनतम पूंजी आवश्यकताओं और AML नीतियों जैसे बुनियादी सुरक्षा प्रदान करते हैं। निरीक्षण कम कठोर है, इसलिए व्यापारियों को सावधानी बरतनी चाहिए और सुरक्षा उपायों को सत्यापित करना चाहिए।

डी ग्रेड लाइसेंस

न्यूनतम निरीक्षण वाले न्यायालयों से, इन लाइसेंसों में अक्सर फंड सेग्रीगेशन और बीमा जैसे महत्वपूर्ण सुरक्षा उपायों का अभाव होता है। परिचालन लचीलेपन के लिए आकर्षक होने पर, वे व्यापारियों के लिए उच्च जोखिम पैदा करते हैं।

कंपनी की जानकारी

जानिए Amazon Financial Group

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जानिए Amazon Financial Group

Amazon Financial Group presents itself as a global online trading broker founded in 2021, providing access to Contracts for Difference (CFDs) across various asset classes including forex, indices, commodities, and cryptocurrencies. However, the company has been the subject of multiple public warnings from European financial regulators. The UK's Financial Conduct Authority (FCA) has identified it as an unauthorized "clone firm," suggesting it is illegally impersonating or using the details of a legitimate entity to deceive investors. It is not an authorized or regulated financial services provider in the major jurisdictions where it appears to be soliciting clients.

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विदेशी मुद्रा रिटेल ब्रोकरप्राथमिक
वित्तीय अन्य सेवा

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TrustFinance खुफिया एजेंसी

अनुसंधान तिथि: फ़र. १४, २०२६

Amazon, founded by Jeff Bezos in 1994, has evolved from an online bookstore to a multinational technology leader in e-commerce, cloud computing, and digital streaming. As of 2025, Amazon is valued at over $2.166 trillion with over 310 million active users globally, and over 220 million Amazon Prime subscribers. The company has reported significant revenue growth, achieving $638 billion in 2024, and continues to dominate the U.S. e-commerce market with a 37.6% share. Amazon's advertising revenue also saw an 18% year-over-year increase, highlighting its growing influence in the digital advertising space. Bezos remains a significant figure, with a net worth of approximately $201.6 billion as of May 2025. The company is also investing heavily in AI and healthcare, indicating its forward-looking strategy to maintain its competitive edge.

Amazon, founded by Jeff Bezos in 1994, has evolved from an online bookstore to a multinational technology leader in e-commerce, cloud computing, and digital streaming. As of 2025, Amazon is valued at over $2.166 trillion with over 310 million active users globally, and over 220 million Amazon Prime subscribers. The company has reported significant revenue growth, achieving $638 billion in 2024, and continues to dominate the U.S. e-commerce market with a 37.6% share. Amazon's advertising revenue also saw an 18% year-over-year increase, highlighting its growing influence in the digital advertising space. Bezos remains a significant figure, with a net worth of approximately $201.6 billion as of May 2025. The company is also investing heavily in AI and healthcare, indicating its forward-looking strategy to maintain its competitive edge.

Steve Schmidt, Amazon's chief security officer, reports that his team has thwarted over 1,800 attempts by North Koreans to secure IT positions at the company. The trend of North Korean applications has surged by 27% in 2025, with organized schemes targeting lucrative AI and machine learning roles. Schmidt highlights various cases of identity theft and fraudulent job applications aimed at accessing sensitive data and financial resources. Amazon has enhanced its security measures through AI tools and in-person interviews to mitigate these risks, emphasizing the importance of identity verification throughout the hiring process.

Steve Schmidt, Amazon's chief security officer, reports that his team has thwarted over 1,800 attempts by North Koreans to secure IT positions at the company. The trend of North Korean applications has surged by 27% in 2025, with organized schemes targeting lucrative AI and machine learning roles. Schmidt highlights various cases of identity theft and fraudulent job applications aimed at accessing sensitive data and financial resources. Amazon has enhanced its security measures through AI tools and in-person interviews to mitigate these risks, emphasizing the importance of identity verification throughout the hiring process.

The blog discusses the advantages of agentic AI in financial services, highlighting its rapid adoption among institutions for tasks like risk and compliance, data analysis, cost reduction, and accuracy improvement. It presents three use cases: Autonomous Claims Adjudication, Financial Research and Analysis, and Intelligent Loan Application Processing, detailing how agentic AI systems can automate complex processes through various workflow patterns. The article emphasizes the importance of specialized agents, collaborative reasoning, and the challenges of traditional methods, while also warning against anti-patterns that can diminish the value of AI implementations. The conclusion stresses the shift from generative AI to agentic AI as a key factor in enhancing financial operations and maintaining competitive advantage.

The blog discusses the advantages of agentic AI in financial services, highlighting its rapid adoption among institutions for tasks like risk and compliance, data analysis, cost reduction, and accuracy improvement. It presents three use cases: Autonomous Claims Adjudication, Financial Research and Analysis, and Intelligent Loan Application Processing, detailing how agentic AI systems can automate complex processes through various workflow patterns. The article emphasizes the importance of specialized agents, collaborative reasoning, and the challenges of traditional methods, while also warning against anti-patterns that can diminish the value of AI implementations. The conclusion stresses the shift from generative AI to agentic AI as a key factor in enhancing financial operations and maintaining competitive advantage.

AWS has introduced frontier agents, a new class of AI agents designed to enhance software development processes. The Kiro autonomous agent acts as a virtual developer, maintaining context and learning independently to streamline tasks. The AWS Security Agent provides tailored security guidance throughout the development lifecycle, transforming penetration testing into an on-demand capability. The AWS DevOps Agent improves operational efficiency by quickly identifying root causes of incidents and offering recommendations for continuous improvement. These agents aim to redefine software development by functioning as autonomous team members, thus accelerating the development lifecycle and enhancing security and operational excellence.

AWS has introduced frontier agents, a new class of AI agents designed to enhance software development processes. The Kiro autonomous agent acts as a virtual developer, maintaining context and learning independently to streamline tasks. The AWS Security Agent provides tailored security guidance throughout the development lifecycle, transforming penetration testing into an on-demand capability. The AWS DevOps Agent improves operational efficiency by quickly identifying root causes of incidents and offering recommendations for continuous improvement. These agents aim to redefine software development by functioning as autonomous team members, thus accelerating the development lifecycle and enhancing security and operational excellence.

The article discusses multi-agent generative AI systems, which utilize multiple specialized AI agents to handle complex tasks beyond the capabilities of a single model. It highlights different collaboration patterns such as Agents as Tools, Swarms, Agent Graphs, and Agent Workflows, each with its own use cases, pros, and cons. The Strands Agents SDK is presented as a framework to implement these patterns, emphasizing its low-cost, high-throughput capabilities with Amazon Nova as a foundation model. The article concludes that these multi-agent architectures can significantly enhance generative AI applications by improving efficiency, accuracy, and cost-effectiveness.

The article discusses multi-agent generative AI systems, which utilize multiple specialized AI agents to handle complex tasks beyond the capabilities of a single model. It highlights different collaboration patterns such as Agents as Tools, Swarms, Agent Graphs, and Agent Workflows, each with its own use cases, pros, and cons. The Strands Agents SDK is presented as a framework to implement these patterns, emphasizing its low-cost, high-throughput capabilities with Amazon Nova as a foundation model. The article concludes that these multi-agent architectures can significantly enhance generative AI applications by improving efficiency, accuracy, and cost-effectiveness.

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समीक्षाएं

Amazon Financial Group समीक्षाएं

समीक्षाएं

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फ़िल्टर

Amazon Financial Group

संयुक्त राज्य अमेरिका

स्थापित किया गया

२००३ (23 साल)

स्थापित

आखिरी बार ऑनलाइन: हाल की कोई गतिविधि नहीं

वेबसाइट पर जाएं

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स्कोर की गणना के लिए पर्याप्त नहीं है।

द्वारा संचालित TrustFinance

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द्वारा संचालित TrustFinance

Markets.com

(326 समीक्षाएं)

United States

२००८

(18 वर्ष)

सुरक्षा जानकारी :

FSCA

सुरक्षा जानकारी

चेतावनी

यह कंपनी वर्तमान में अप्रमाणित.

कृपया संभावित जोखिमों से सावधान रहें!

लाइसेंस

ए ग्रेड लाइसेंस

बी ग्रेड लाइसेंस

सी ग्रेड लाइसेंस

डी ग्रेड लाइसेंस

समाचार

TrustFinance खुफिया एजेंसी

अनुसंधान तिथि: फ़र. १४, २०२६

Amazon, founded by Jeff Bezos in 1994, has evolved from an online bookstore to a multinational technology leader in e-commerce, cloud computing, and digital streaming. As of 2025, Amazon is valued at over $2.166 trillion with over 310 million active users globally, and over 220 million Amazon Prime subscribers. The company has reported significant revenue growth, achieving $638 billion in 2024, and continues to dominate the U.S. e-commerce market with a 37.6% share. Amazon's advertising revenue also saw an 18% year-over-year increase, highlighting its growing influence in the digital advertising space. Bezos remains a significant figure, with a net worth of approximately $201.6 billion as of May 2025. The company is also investing heavily in AI and healthcare, indicating its forward-looking strategy to maintain its competitive edge.

Steve Schmidt, Amazon's chief security officer, reports that his team has thwarted over 1,800 attempts by North Koreans to secure IT positions at the company. The trend of North Korean applications has surged by 27% in 2025, with organized schemes targeting lucrative AI and machine learning roles. Schmidt highlights various cases of identity theft and fraudulent job applications aimed at accessing sensitive data and financial resources. Amazon has enhanced its security measures through AI tools and in-person interviews to mitigate these risks, emphasizing the importance of identity verification throughout the hiring process.

The blog discusses the advantages of agentic AI in financial services, highlighting its rapid adoption among institutions for tasks like risk and compliance, data analysis, cost reduction, and accuracy improvement. It presents three use cases: Autonomous Claims Adjudication, Financial Research and Analysis, and Intelligent Loan Application Processing, detailing how agentic AI systems can automate complex processes through various workflow patterns. The article emphasizes the importance of specialized agents, collaborative reasoning, and the challenges of traditional methods, while also warning against anti-patterns that can diminish the value of AI implementations. The conclusion stresses the shift from generative AI to agentic AI as a key factor in enhancing financial operations and maintaining competitive advantage.

AWS has introduced frontier agents, a new class of AI agents designed to enhance software development processes. The Kiro autonomous agent acts as a virtual developer, maintaining context and learning independently to streamline tasks. The AWS Security Agent provides tailored security guidance throughout the development lifecycle, transforming penetration testing into an on-demand capability. The AWS DevOps Agent improves operational efficiency by quickly identifying root causes of incidents and offering recommendations for continuous improvement. These agents aim to redefine software development by functioning as autonomous team members, thus accelerating the development lifecycle and enhancing security and operational excellence.

The article discusses multi-agent generative AI systems, which utilize multiple specialized AI agents to handle complex tasks beyond the capabilities of a single model. It highlights different collaboration patterns such as Agents as Tools, Swarms, Agent Graphs, and Agent Workflows, each with its own use cases, pros, and cons. The Strands Agents SDK is presented as a framework to implement these patterns, emphasizing its low-cost, high-throughput capabilities with Amazon Nova as a foundation model. The article concludes that these multi-agent architectures can significantly enhance generative AI applications by improving efficiency, accuracy, and cost-effectiveness.

ट्रस्टफाइनेंस एआई विश्लेषण द्वारा प्रदान किया गया