bob网页版

在金融服务中部署人工智能bob网页版确保高质量、企业级安全性和更快的上市时间

bob网页版金融服务团队正在采用人工智能来自动化核心金融流程，以提高业务流程的速度和准确性，并寻求竞争优势。

Appen帮助客户在客户体验，收入增长和决策等关键领域以刻度部署AI功能，并转向商业价值的洞察力。

我们提供最佳的SaaS & On-Premises数据注释解决方案，以满足您独特的金融业务需求。bob平台app下载

我们拥有最先进的AI辅助数据注释平台，支持各种用例，如聊天，语音助理，文件分析，风险管理，欺诈检测，情感分析等等。利用我们的多模式收集和注释工具套件，并将它们与AppeN平台内的工作流程中的自动化过程中相结合。

我们的能力金融服务bob网页版

会话的银行

自动化耗时和平凡的流程，并提供简化和个性化的客户体验。凭借我们的NLP功能和高质量的多语言培训数据，您可以建立意图和话语模型来培训虚拟助手或聊天以更好地了解并响应人类bob体育手机下载互动，驾驶个性化服务和更高层次的客户满意度。

监管合规性

自动管理监管内容，降低犯错和疏忽的风险。通过使用命名实体识别(NER)、实体提取和OCR转录，从法律和法规文档中提取元数据，实现法规遵从性自动监控，节省时间并降低成本。

财务咨询

为客户提供高度专业化和有针对性的财务建议和指导。火车ML模型跟踪客户的支出并分析此数据以识别其支出模式，然后识别他们可以保存的区域。

kyc自动化

简化KYC流程，使其更加方便和以客户为中心。利用计算机视觉从图像中分析和提取相关信息。通过视频通话，客户可以快速完成数字验证过程。

欺诈识别

在它发展的过程中发现不寻常的活动，同时也识别哪些账户容易受到欺诈。
人工智能可以针对真正的威胁，并简化系统产生的虚假旗帜的数量。使用命名实体识别(NER)，识别可疑交易的当事人。计算机视觉可以用来检测任何支票篡改，通过识别缺失或重复的支票号码。

风险管理

通过分析大量数据源来识别高风险配置文件，显著降低风险水平。通过向您的ML模型提供我们标注的培训数据，它将能够分析和识别高风险客户档案。bob体育手机下载

情绪分析

分析开放式文本客户反馈表格、调查或社交媒体帖子，以准确理解客户情绪。利用基于nlp的情绪分析对与信贷市场相关的新闻媒体进行分析，监控新闻媒体的信贷情绪。

文件和合同情报

通过使用命名实体识别(NER)和光学字符识别(OCR)，人工智能模型可以自动从贷款或信贷申请、融资租赁合同和其他相关文件中提取相关条款和实体，从而帮助进行分析。

安全与合规

我们认真对待数据安全和隐私，我们已被证明以处理最敏感和最受控制的数据。我们不仅符合SOC2 II型，ISO 27001认证的安全设施，ISO 9001认可的运营，HIPAA，GDPR及其提供各种安全选项。

安全数据访问

安全数据访问

对于使用个人身份信息(PII)、受保护的健康信息(PHI)和其他复杂的合规需求的客户，数据安全需求得到了满足。

我们拥有企业级安全选项，以满足您的敏感数据需求，

安全人群

我们提供一套安全服务产品，通过安全设施、安全远程工作人员和现场服务来确保数据安全，以满足特定的业务需求。

我们拥有企业级安全选项，以满足您的敏感数据需求，

部署选项

私有云部署
这可以在您的特定云环境上托管。

本地部署
它可以部署在你的特定网络中无论是气隙式的还是非气隙式的。

我们拥有企业级安全选项，以满足您的敏感数据需求，

基于SAML的单点登录

SSO通过您选择的身份提供者（IDP）提供成员访问数据伙伴平台。

我们拥有企业级安全选项，以满足您的敏感数据需求，

动作的区别

使用我们的深度主题专业知识培训您的机器学习模型，以提供高质量，低偏见的注释数据。使用Appen，您有优势：

3 x我们的技术、流程、专业知识和人群的平均部署速度

20 +税收，会计，金融软件，银行使用案例，支付提供商和网关的专业知识

ISO27001经过认证的安全设施，ISO 9001认证的PII数据处理操作

1M +小时/月/客户端可扩展的能力

客户运行世界级AI

在培训数据的帮助下采用AI领域的区域：bob体育手机下载

金融金

核心产品的应用
会计
款项
网关
彼得
电子商务购物车结账
数字货币
点对点转账

银行业和投资

聊天机器人/智能助手
智能assitast.
资产管理推荐系统
欺诈检测/预防
KYC/AML应用-即face
识别，指纹，其他认证
金融流程自动化 - 即金币转移批处理，时间，现金管理
Quantitiative金融
信号处理/情绪分析
推荐系统
合同管理

保险

索赔管理
自动承保
政策管理
聊天机器人
聪明的助手
欺诈检测/预防

最新消息和资源

金融服务领域的人工智能投资

金融服务领域的人工智能投资

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金融服务领域的人工智能投资重点在哪里bob网页版

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AI在金融服务中的挑战bob网页版

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AI在金融服务中的四个关键挑战bob网页版

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最高金融服务公司bob网页版如何与AI转换业务

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金融服bob平台app下载务AI解决方案bob网页版

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财务图表的例证

财务图表的例证

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利用人工智能改变银行体验

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人工智能如何重塑金融服务业bob网页版

人工智能如何重塑金融服务业bob网页版

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人工智能如何重塑金融服务bob网页版

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用于金融的机器学习解锁了数据的价值

用于金融的机器学习解锁了数据的价值

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在线研讨会

金融机器学习:解锁数据的价值

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说明人工智能

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RE·WORK与Appen CTO Wilson Pang的问答

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Appon机器学习wiki

Appon机器学习wiki

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Appen机器学习常见问题

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银行业务中的人工智能

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构建或购买数据注释工具

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应该构建还是购买数据注释工具?

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Finovate的Appen工作人员

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Finovate峰会的AI：超越炒作

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如何减少AI的偏见

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动作安全工作区

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Appen推出安全的工作区解决方案，以保护设施或在家庭环境中的注释敏感数据

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在澳大利亚证券交易所上市:APX在ASX

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在路上与我们见面 - 9月展览

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九月路上见!

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人工智能和机器学习的行业采用

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机器学习在行业中的应用:与Stephen Woodard的问答

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Appen与世界经济论坛合作建立负责任的人工智能标准

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人工智能增强商业景观的好处

人工智能增强商业景观的好处

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人工智能的好处正在增强商业景观

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2020 AI州

2020 AI州

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Appen的年度人工智能状况报告发现，高管参与激增，投资激增

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联邦政府的大卫·普瓦里耶

联邦政府的大卫·普瓦里耶

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图8联邦欢迎新高级副总裁，以发展政府伙伴关系

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Appen完全集成了图8

Appen完全集成了图8

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Appen提供完全集成的图8解决方案

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全球问题：了解来自87个国家的数据的Brexit

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Appen宣布群体的道德准则构建更好的AI

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创造真正有效的聊天机器人和虚拟助手

创造真正有效的聊天机器人和虚拟助手

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创造真正有效的聊天机器人和虚拟助手

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发生在全球:2019年秋季会议纪要

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Appen培bob体育手机下载训数据解决方案发布功能增强，以加速客户的人工智能计划

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Appen Ceo Mark Brayan

Appen Ceo Mark Brayan

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Appen的增长通过技术趋势和执行领导地位推动

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加强领导团队与关键高管的招聘，以支持持续增长

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利用非结构化数据的六大步骤

利用非结构化数据的六大步骤

<picture class="attachment-recommended size-recommended wp-post-image"> <source type="image/webp" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-330x196.png.webp 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-300x177.png.webp 300w, https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-100x59.png.webp 100w" sizes="(max-width: 330px) 100vw, 330px"> <img width="330" height="196" src="//www.foremanmotors.com/resources/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-330x196.png" alt="利用非结构化数据的六大步骤" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-330x196.png 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-300x177.png 300w, https://resources.www.foremanmotors.com/wp-content/uploads/2017/04/Turning-the-Burden-of-Unstructured-Data-into-a-Strategic-Asset-1-100x59.png 100w" sizes="(max-width: 330px) 100vw, 330px"> </picture>

2017年大数据创新峰会:利用非结构化数据的六个步骤

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Appen被无国界翻译人员认可

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什么是您的NLP数据策略

什么是您的NLP数据策略

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NLP策略|2017年对话互动会议的见解

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Appen成为领先的语言服务提供商在亚太地区保持领先地位

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众包数据：何时使用策划人群与众包

众包数据：何时使用策划人群与众包

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众包数据：何时使用策划人群与众包

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Appen引领行业创造适合所有人的人工智能

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机器视觉vs.计算机视觉

机器视觉vs.计算机视觉

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机器视觉与计算机视觉 - 有什么区别？

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现实世界AI现已提供

现实世界AI现已提供

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人工智能专家在现实世界提供全面的见解:负责任机器学习的实用指南

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新的现成的(OTS)数据集

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Appen加速AI部署新现成(OTS)数据集

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神经网络示意图

神经网络示意图

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Appen 2018年排名前五的博客文章

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自动车辆制造商的QA

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Appen为自主车辆制造商提供高质量的培训数据和质量保证bob体育手机下载服务

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中国旗帜

中国旗帜

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中国人工智能的最新发展

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Deloitte Technology Fast 500 2018 APAC获胜者横幅图像

Deloitte Technology Fast 500 2018 APAC获胜者横幅图像

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Appen被评为亚太地区技术快速500™冠军

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图解说明

图解说明

<picture class="attachment-recommended size-recommended wp-post-image"> <source type="image/webp" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2018/12/Screen-Shot-2018-12-11-at-1.18.40-PM-750x450-1-330x196.jpg.webp 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/12/Screen-Shot-2018-12-11-at-1.18.40-PM-750x450-1-100x60.jpg.webp 100w" sizes="(max-width: 330px) 100vw, 330px"> <img width="330" height="196" src="//www.foremanmotors.com/resources/wp-content/uploads/2018/12/Screen-Shot-2018-12-11-at-1.18.40-PM-750x450-1-330x196.jpg" alt="图解说明" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2018/12/Screen-Shot-2018-12-11-at-1.18.40-PM-750x450-1-330x196.jpg 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/12/Screen-Shot-2018-12-11-at-1.18.40-PM-750x450-1-100x60.jpg 100w" sizes="(max-width: 330px) 100vw, 330px"> </picture>

来自纽约人工智能峰会的高管见解

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人工智能伦理-建立负责任的人工智能指南

人工智能伦理-建立负责任的人工智能指南

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人工智能伦理:构建负责任的人工智能指南

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数据保护法规和认证

数据保护法规和认证

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AI和数据保护：认证和规定

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文本注释

文本注释

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什么是机器学习中的文本注释?

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开始学习机器学习时的主要考虑因素

开始学习机器学习时的主要考虑因素

<picture class="attachment-recommended size-recommended wp-post-image"> <source type="image/webp" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-330x196.png.webp 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-300x177.png.webp 300w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-100x59.png.webp 100w" sizes="(max-width: 330px) 100vw, 330px"> <img width="330" height="196" src="//www.foremanmotors.com/resources/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-330x196.png" alt="开始学习机器学习时的主要考虑因素" srcset="https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-330x196.png 330w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-300x177.png 300w, https://resources.www.foremanmotors.com/wp-content/uploads/2018/07/Key-Considerations-When-Starting-Out-With-Machine-Learning-100x59.png 100w" sizes="(max-width: 330px) 100vw, 330px"> </picture>

关键因素;机器学习入门

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