应用于客户服务的4种聊天机器人类型

Synergy Research Group的最新数据显示，在云服务和基础设施市场，2024年上半年运营商和供应商的收入达到4270亿美元，比2023年上半年增长了23%。在这种情况下，最近有一个趋势发生了逆转。很长一段时间以来，云服务的增长速度远远超过云数据中心基础设施支出的增长速度，但在对生成式人工智能技术的大量投资的推动下，这种情况暂时发生了转变。 今年上半年，IaaS、PaaS和SaaS的平均增长率为21%，而公共云和私有云数据中心的支出平均增长率为30%。云服务市场的规模仍然是支持数据中心支出的两倍。随着超大规模运营商继续推动更广泛的IT市场，他们的基础设施足迹也在增长。与2023年上半年相比，已经庞大的数据中心网络的运营能力增长了24%。更令人印象深刻的是，随着继续加大投资，未来数据中心的规模增长了47%。 SaaS和云基础设施服务，整个市场的领导者是微软、亚马逊、谷歌和Salesforce。在数据中心硬件和软件方面，ODM继续占据着很大的市场份额，因为超大规模运营商使用自己设计的服务器，由合同制造商提供。除了ODM之外，市场的领导者还有戴尔、微软、超微和惠普。在这方面，英伟达的影响力正在迅速增长，它向服务器供应商、其他技术公司、企业以及直接向超大规模运营商销售产品。 从地理上看，虽然云市场在世界各地都在强劲增长，但美国仍然是一个重心。2024年上半年，美国占所有云服务收入的44%，超大规模数据中心容量的53%，云数据中心硬件和软件市场的47%。在所有服务和基础设施市场中，绝大多数领先企业都是美国公司。其次是中国公司，占所有云服务收入的8%，超大规模数据中心容量的16%。

作为全球领先的云计算服务提供商，亚马逊云科技通过其高度可靠的基础设施和技术架构，为客户提供强大而灵活的计算、存储和数据库服务、AI等服务。屹立行业之巅，亚马逊云科技为何能引领云计算行业十几年，其秘密武器是打造的从基础设施到技术架构再到运营机制全链路韧性技术。 在近期亚马逊云科技媒体沟通会上，亚马逊云科技大中华区解决方案架构总经理代闻详细阐述了韧性技术背后的逻辑和思考。 如何打造高可靠的云服务 亚马逊云科技在2006年开创性地发布了第一款云服务，时至今日，亚马逊云科技提供了超过 240 种功能全面的服务。 代闻首先披露了一组数据，“亚马逊云科技去年每天稳定启动的Amazon EC2实例超过1亿，每秒 API请求数高达100万亿。正是因为做对了很多事情，才有今天全球数百万客户的选择和信任。”这在云计算行业可谓是首屈一指。 在代闻看来这些事故背后的风险包括： 基础设施层——括数据中心、主机、机架、网络故障，或自然灾害导致的损坏 架构设计层——数据状态、应用程序状态异常、依赖项失效等 运营机制层——由运维操作、代码部署、配置错误等引起的故障 想要构建高度可靠的云服务，必须要解决以上三个重点问题， 秘密武器：基础设施韧性、韧性技术架构和卓越的运营机制 在基础设施韧性方面，亚马逊云科技的基础设施分为区域、可用区（通常相距100公里）、多个或单个超大数据中心等多个层级。每个可用区的数据中心都有独立的电力、制冷和物理安全设施。 当一个可用区发生电力中断，自然灾害时，区域内其他可用区不会受到任何影响， 安全距离既能防止相关故障，又能实现毫秒级延迟的同步复制。 在可用区内部，可用区之间，区域和区域之间，均铺设光纤线路两两互联，实现高速数据传输的同时任一连接是冗余的，实现了高可用、低延迟的可用区网络设计。 在韧性技术架构方面，亚马逊云科技总结云服务自身韧性的四大要素：区域隔离，多可用区；控制面和数据面独立；单元架构；随机分片。 区域隔离，多可用区的目的是实现控制故障发生时对客户的影响范围。控制面和数据面独立能够确保云服务的数据平面能够独立于控制平面的状态持续稳定运行，且能够独立扩展互不影响。单元架构设计确保当发生故障时，只有该单元受影响，而不会导致整个系统瘫痪，无论硬件、网络、电力系统还是代码，都将影响最小化，进一步提高整个应用和系统的可用性。 为确保云服务的韧性，卓越的运营和机制至关重要，也是亚马逊云科技的差异化优势之一，亚马逊云科技的运营机制总结为4个模块：服务责任模型、运营就绪审查、持续安全部署、纠错流程。服务责任模型确保各项服务的良好运营，能够随叫随到。运营就绪审查提供了服务发布和更新相关的标准化流程。持续安全部署能够在保持服务连续性的实现安全的自动化部署。纠错流程能够了解错误发生的根本原因，同时成功的纠错记录还将成为运营就绪审查标准流程的一部分，确保问题不会再次发生。 授人以渔：帮助客户构建端到端的韧性 在与客户和内部团队展开多年合作的基础上，亚马逊云科技为韧性构建工程总结归纳为4大经验： 系统韧性的提高是持续的过程，而不是一次性的努力； 在业务需求、可靠性、成本、系统复杂度之间取得均衡； 以标准软件开发生命周期为蓝本，可轻松整合到企业现有流程中； 从业务、技术与持续运营等多个维度来帮助企业提高系统韧性。 基于经验分解，亚马逊云科技开发了韧性系统建设生命周期框架， 该框架包含五个关键阶段， 包括设定目标、设计及实施、验证和测试、持续运营、实施各种运营最佳实践、响应和改进。并强调韧性是一个持续的生命周期，需要不断重复五个阶段，以应对不断变化的环境和需求。 亚马逊云科技希望客户能够采用同样的单元架构方法论，来最小化自身应用的爆炸半径，提高可用性。亚马逊云科技90%以上的服务来源于用户需求。在韧性系统建设生命周期框架的五个阶段，亚马逊云科技都提供了多种服务和工具：如Amazon Resilience Analysis Framework、Amazon Aurora、Amazon DynamoDB、Amazon Aurora Global Database、Amazon Fault Injection Simulator（FIS）、Amazon Resilience Hub、Amazon Application Recovery Controller等。 系统的可观测性和故障自动化处理 针对LIKE.TG提出的“如何持续提高系统的可观测性和自动化”这一问题，代闻表示，一个关键点是API。一个云服务平台没有 API 或者 API 不健全，自动化是没有办法做到。 亚马逊云科技在全球云计算行业做了非常好的示范带头作用， API 是怎么写，API 的细颗粒度以及安全等前置考虑都实现得非常好。要做自动化和可观测性，你一定需要把应用和这个基础架构里面的数据能够拿出来，能够看，能够做分析。 另外一个关键点是亚马逊云科技对云原生服务支持已经足够好，并提供了一系列的云原生服务，像 Amazon Aurora global Database 能够自动跨区域数据复制；Amazon Lambda无服务器运算，客户只需要关心它的代码运营环境，底层高可用弹性都是自动实现。GenAI领域，用户在Amazon Bedrock中做推理的时候，不用做很多的基础运维工作，亚马逊云科技比较好地平滑地给客户提供一个可扩展环境。一些新的云原生的服务在不断地推出，这将会大大简化自动化流程，并降低可观测性的难度和复杂度。 细微处见真章，云计算行业需要务实、为客户负责、对安全可靠的前置通盘预判，从基础设施到技术架构到运营机制，亚马逊云科技对韧性技术的打造，是赢得客户青睐和信任的秘密武器。

2024年第二季度，全球云基础设施服务支出同比增长19%，达到782亿美元。虽然企业的IT预算已经恢复增长，但很大一部分支出现在直接用于与人工智能相关的投资。前三大供应商——AWS、微软Azure和谷歌云——本季度共增长24%，占总支出的63%。与上一季度相比，AWS的增长明显增加，第二季度的销售额增长了19%。与此同时，微软Azure和谷歌云继续保持强劲的两位数增长，分别增长29%和30%。全球超过1/3的云市场份额仍由其他云提供商占据，但市场正在向顶级超大规模云提供商转移，它们的市场份额越来越大。 Canalys修改了其历史云基础设施服务收入预测。这直接影响了2022年第一季度至2024年第一季度的市场份额，但排名和增长率保持不变。 对人工智能需求的加速预计将为云服务的持续增长带来重大机遇。随着企业采用人工智能技术，他们将需要更先进、可扩展的云基础设施，从而推动云服务的持续投资和发展。但人们开始担心人工智能领域可能出现的过度投资，因为获得回报的时间似乎比最初预期的要长。尽管存在这些担忧，超大规模企业仍在继续增加对人工智能的投资——本季度，三大超大规模企业都将数据中心的资本支出增加了数百亿美元——它们认识到高估投资风险可能比低估投资风险更有害。 这三家超大规模公司都表示，使用人工智能的客户数量大幅增加。他们继续推出新的人工智能产品，比如谷歌云的Gemini 1.5和Azure的GPT – 40 mini。AWS通过其云平台Bedrock还提供Claude 3.5 Sonnet和其他APIs。 除了推出新的人工智能产品和解决方案外，超大规模企业还在努力加强其人工智能合作伙伴生态系统。本季度，领先的供应商特别重视培育人工智能初创企业。值得注意的举措包括AWS的“生成式人工智能加速器”和谷歌云的“谷歌创业加速器”，它们都旨在吸引人工智能初创企业，推动行业内的创新。 主要云供应商 亚马逊网络服务(AWS)继续引领全球云市场，2024年第二季度占33%的市场份额。本季度收入同比增长19%，业绩较上一季度有所增强。其积压订单达1566亿美元，同比增长19%。通过其Bedrock平台，AWS为基础模型引入了新的API，如Claude 3.5 Sonnet和Llama 3.1。Bedrock完全基于云计算，使企业能够开发自己的基础模型，这些模型已经为成千上万的活跃客户提供了服务。AWS非常重视在其合作伙伴生态系统中集成和开发人工智能。2024年6月，该公司宣布向其生成人工智能加速器项目投入2.3亿美元，旨在帮助全球初创公司加速人工智能应用程序的开发。此外，AWS在6月份引入了一些变化，包括增强的技术支持、MSP折扣以及对服务合作伙伴的更低要求。这些调整旨在加强AWS的合作伙伴生态系统，使其更易于访问，并使更广泛的合作伙伴受益。 微软Azure是云服务市场的第二大提供商，市场份额为20%，年增长率为29%。微软声称，2024年第二季度人工智能服务为Azure增长贡献了8%，高于上一季度的7%。凭借先进的模型，Azure AI吸引了超过6万名客户，同比增长近60%。针对这一需求，微软发布或升级了几款机型，包括大语言机型GPT – 40 mini和小语言机型Phi-3 Vision。微软Azure继续扩大其数据中心的足迹，宣布在马来西亚、西班牙和美国进行重大投资。这些投资包括基础设施开发和旨在提高人工智能技能的举措。 谷歌云(google Cloud)是第三大提供商，市场份额为10%，年增长率为30%。截至2024年6月30日，谷歌云的累计积压收入（未完成的项目或合同所形成的待实现收入）达到788亿美元，比2024年第一季度的725亿美元有所增长。截至第二季度末，Google Cloud的人工智能基础设施和生成式人工智能解决方案(如Vertex AI、用于Workspace的Gemini和用于Google Cloud的Gemini)已经产生了数十亿美元的收入，并被200多万开发人员使用。Gemini在搜索、工作空间和谷歌消息等产品中提供了非常有价值的功能，并集成到六个产品中，每个产品的月活跃用户都超过20亿人。2024年6月，谷歌云通过谷歌云市场推出渠道私有服务，促进第三方解决方案的高效交易，并使渠道合作伙伴能够管理从计费到收入确认的客户关系。此外，谷歌还宣布在马来西亚开设首个数据中心和云计算区域，并在爱荷华州、弗吉尼亚州和俄亥俄州进行扩张。

As globalization increases, companies and individuals are finding it necessary to communicate more frequently with people who speak different languages.As a result, the need for translation tools has become more pressing.The good news is that there are now AI-based translation tools that make the process of translating text and speech faster and more accurate than ever before.In this article, I will analyze and compare the best AI-based translation tools available, discussing their advantages, features and drawbacks.Introduction to AI-based translation toolsAI-based translation tools use artificial intelligence to translate text and speech from one language to another. These tools have become increasingly popular in recent years thanks to advances in machine learning and natural language processing. Such tools are faster, more accurate and can handle a higher volume of work.Benefits of using AI-based translation toolsOne of the main advantages of using AI-based translation tools is speed. These tools can translate large volumes of text in a matter of seconds, whereas it would take a human translator much longer to do the same job.They are less likely to make mistakes and can also be used to translate speeches in real time, which makes them very useful for international conferences or business meetings.Popular AI-based translation tools and their featuresThere are many AI-based translation tools, each with its own unique features. Here are some of the most popular ones and what they offer:1. Google TranslateGoogle Translate is one of the most well-known AI-based translation tools. It offers translations in over 100 languages and can be used to translate text, speech, and even images. Google Translate also offers a feature called “Conversation Mode,” which allows two people to have a conversation in different languages using the same device.2. Microsoft TranslatorMicrosoft Translator is another popular AI-based translation tool. It offers translations in over 60 languages and can be used to translate text, speech, and images. Microsoft Translator also offers a feature called “Live Feature,” which allows two people to have a conversation in different languages using their own devices.3. DeepLDeepL is a newer AI-based translation tool, but it has quickly gained popularity thanks to its high-quality translations. It offers translations in nine languages and can be used to translate text. DeepL uses deep learning algorithms to produce translations that are more accurate and natural-sounding than those produced by other translation tools.4. LIKE.TG TranslateLIKE.TG Translate is a relatively new AI-based translation tool that has gained popularity in recent years. It is available in over 125 languages and can translate text, voice and images. One of the unique features of LIKE.TG Translate is its ability to translate text within other apps.The best feature of these apps is that not only do they base their translation using AI but they have a team of native translators behind them constantly improving their applications to make them even better.Factors to consider when choosing an AI-based translation toolWhen choosing an AI-based translation tool, there are several factors to consider. The first is the languages you need to translate. Make sure the tool you choose supports the languages you need. The second factor is the type of translations you need. Do you need to translate text, speech, or images? Do you need real-time translation for conversations? The third factor is the accuracy of the translations. Consider the quality of the translations produced by each tool. Lastly, consider the cost of the tool. Some AI-based translation tools are free, while others require a subscription or payment per use.Pros and cons of using AI-based translation toolsLike any tool, AI-based translation tools have pros and cons. Here are some of the main advantages and drawbacks of using these tools:After a thorough analysis, I can faithfully describe to you some of the most characteristic pros and cons of these tools:PROSAccuracy: These tools are able to better understand the context and syntax of the language, which translates into greater translation accuracy.Speed: Translating large amounts of text can take a long time if done manually, whereas AI-based translation tools are able to process large amounts of text in a matter of seconds.Cost savings: AI-based translation tools are often less expensive than human translation services, especially for large projects.Integrations: Many of these tools integrate with other platforms and productivity tools, making them easy to use in different contexts.CONSLack of context: These tools often lack context, which can result in inaccurate or inconsistent translations. For example, a literal translation of a sentence in one language into another may not take into account cultural connotations or social context and result in a translation that makes no sense.Lack of accuracy: Although AI-based translation tools have improved significantly in recent years, they are still not as accurate as humans. Translations can be inaccurate or have grammatical and spelling errors, especially in more complex or technical languages.They cannot capture nuances or tones: Such translation tools cannot capture nuances or tones that are often important in human communication. For example, they may miss the sarcastic or ironic tone of a sentence and translate it literally.Language dependency: language dependent, meaning that they work best for translating between widely spoken and documented languages but do not represent less common languages or regional dialects well. .Cost: While there are some available for free, many of the high-quality tools are quite expensive.Lack of customization: AI-based translation tools cannot be customized to meet the specific needs of an individual or company. This can limit their usefulness especially when highly specialized or technical translation is required.Privacy and security: Some tools collect and store sensitive data, which can raise serious concerns about data privacy and security.In conclusion, AI-based translation tools offer a number of advantages in terms of speed, accuracy and cost, but it is important to be aware of their limitations and challenges when selecting a tool.How AI-based translation tools are changing the translation industryAI-based translation tools are changing the translation industry in several ways. The first is that the translation process is faster and more efficient. This allows translators to handle larger volumes of work and deliver projects faster. The second way in which they are changing the industry is that specialized translators are becoming more in demand, as human quality is irreplaceable and although they can do basic translations, they have problems with technical or specialized language.This means that specialized translators in certain areas are more in demand than ever.The future of AI-based translation toolsThe future of AI-based translation tools is bright. As technology continues to advance, these tools will become even more sophisticated and accurate. We may eventually see a tool capable of handling all forms of language, including slang and regional dialects. It is also possible that they will become more integrated into our daily lives, allowing us to communicate with people who speak different languages more easily than ever before, yet experts continue to warn that humans cannot be replaced.Conclusion and recommendations for the best AI-based translation toolsIn conclusion, AI-based translation tools offer many advantages over traditional methods. They are faster, more accurate and can handle a higher volume of work. However, it is important to consider the languages you need to translate, the type of translations you need, the accuracy of the translations and the cost of the tool when choosing an AI-based translation tool, because at the end of the day no AI can replace a human being, nor can it emulate the human quality that a human being can bring to us.Based on our analysis and comparison, we recommend Google Translate for its versatility and variety of features. However, if you need high quality translations, LIKE.TG Translate may be the best choice.REMEMBER !!!You can downloadour available appsfor translating and learning languages correctly available for free on googleplay and applestores.Do not hesitate to visit ourLIKE.TG websiteand contact us with any questions or problems you may have, and of course, take a look at any ofour blog articles.

Artificial intelligence is revolutionising every area it touches, and translation is no exception. Over time, automatic translators have become more sophisticated and have reached a level of accuracy that was unthinkable years ago.Now, with artificial intelligence, everything suggests that we will once again experience a revolution in translation that will change the way we communicate, improving its efficiency and almost completely eliminating language barriers. Let’s take a look at the advantages this will bring to our day-to-day lives.Advantages of AI in translationTranslation of large amounts of dataOne of the advantages of artificial intelligence in translation is its ability to process large amounts of text in multiple languages in a very short time with significantly better results than traditional machine translation, allowing for faster and more agile translation of documents and texts.More accurate translationArtificial intelligence offers suggestions and recommendations based on the specific context and domain of the text you are translating. This helps to improve coherence and consistency in translated texts.Real-time translationIn addition to translating large amounts of data and more accurate translation, artificial intelligence significantly improves real-time translation and improves fluency in multilingual situations.Imagine a work meeting with people from different parts of the world, each one of them speaking a different language. Thanks to advances in artificial intelligence and translation, every member of the group could listen to the meeting in their mother tongue and communicate with the rest of the people, reducing costs and time.As in the previous case, we could extrapolate this to a live broadcast on Twitch or via YouTube channels.Audio and video transcriptionTraditional transcription techniques are often laborious and slow. The implementation of artificial intelligence makes possible to transcribe audio and video content with incredible accuracy and speed.This has opened up new opportunities for content creators, media professionals and businesses looking to harness the power of audio and video content.The future of artificial intelligence and translationAt LIKE.TG we have been working closely with artificial intelligence for months in order to bring new and better translation experiences to our users. The potential offered by this technology is incredible and we are very excited about the new possibilities it presents us with.As a technologist, I see how AI and the fourth industrial revolution will affect all aspects of people’s lives. Fei-Fei Li, professor of computer science at Stanford UniversityThanks to artificial intelligence we have been able to improve, for example, voice translation, achieving much more accurate detection than with traditional methods. We have integrated translation and augmented reality (AR) to offer a new experience where you can translate conversations in real time or any object around you.Artificial intelligence will not replace human translationAlthough we see that advances in artificial intelligence are promising, human translation will continue to be necessary. AI is a great help and complements the work of human translators, but it cannot completely replace their expertise and cultural knowledge.We should not rely entirely on the results of artificial intelligence, especially in cases where understanding is crucial and misunderstanding can cause irreparable damage.Translation is a complex process involving contextual understanding, wordplay and cultural adaptation, where humans remain indispensable.