Key insights from experts on the rise of generative AI in content creation and localization

专家关于内容创建和本地化中生成式AI兴起的关键见解

2023-09-22 11:52 Smartcat

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Smartcat recently hosted an online launch event to present our all-new product, Smartcat AI Content Generator. Over 500 professionals from translation, L&D, marketing, and other industries were in attendance. If you missed it, you can watch the launch event recording. During this event, we delved into some of the most cutting-edge topics in the realm of content creation and translation, exploring the remarkable capabilities of Smartcat AI. Our esteemed panel of industry experts, including David Kelly, CEO at the Learning Guild; Mike Kaput, CCO at Marketing AI Institute; Laszlo Varga, senior consultant at Nimdzi Insights; and Igor Afanasyev, director of product at Smartcat, engaged in a thought-provoking discussion. This panel shed light on how AI can revolutionize content generation, translation, and much more. Mike Kaput – AI's transformative role in the marketing landscape Mike Kaput, Chief Content Officer at the Marketing AI Institute, shared several key insights regarding the state of AI in marketing. His commentary highlighted the ongoing evolution of AI adoption in the marketing field, with a growing interest from both leadership and practitioners in leveraging AI technologies for improved marketing outcomes: The average marketer is still in the early stages of adopting AI technology. Many businesses are trying to understand the practical applications and return on investment (ROI) of AI in their marketing efforts. CEOs and CMOs are increasingly interested in exploring the possibilities of large language models and generative AI, marking a turning point in the industry's attitude towards AI. Both executives and individual contributors are actively involved. According to a recent survey conducted by the Marketing AI Institute, about 98% of marketing leaders and practitioners are using AI tools in some capacity. This adoption spans across the organizational hierarchy, with executives integrating AI into workflows and practitioners conducting their own experiments. The adoption of AI in marketing is not limited to either top-down or bottom-up approaches; it's happening from both directions simultaneously. Executives are actively seeking ways to incorporate AI into their strategies, while individual contributors experiment with AI tools independently. The goal is for these two approaches to converge and lead to the development of formal AI strategies, processes, policies, and guidelines within organizations. Laszlo Varga – Assessing the present and future of AI in localization and language industry Laszlo Varga, Lead Consultant at Nimdzi Insights, a localization and language industry research and consultancy company, underscored the cautious yet exploratory approach of the language industry towards large language models, with a focus on understanding their potential benefits and applications beyond translation. While there's significant excitement around large language models, there still hasn’t been as much disruption in the language industry as in other sectors. This is to do with the fact that many large language models are general-purpose tools, not purpose-built for specific applications. There’s ongoing uncertainty regarding the return on investment (ROI) and real efficiencies achieved with large language models, similar to the initial skepticism surrounding machine translation, which has since matured. The primary use case for large language models in the language industry is translation. However, Laszlo emphasized that there are additional capabilities of large language models that go beyond translation and should not be overlooked. These capabilities are being explored and tested by various organizations. Many organizations are currently in the testing phase, trying to determine the practicality and quality of using large language models. The unpredictability inherent in AI models presents a challenge in ensuring consistent quality. Laszlo highlighted the industry's interest in learning from others' experiences with large language models, seeking insights into their potential applications and benefits. David Kelly – Exploring the challenges and opportunities of AI in learning and development CEO at the Learning Guild, David Kelly, highlighted the current bottom-up approach to innovation in L&D, the unique challenges the field faces due to its cost perception, the emphasis on efficiency improvements, and the potential for top-down influence to drive future changes within L&D practices. David emphasized that L&D is experiencing a bottom-up approach to adopting new technologies and practices. This means that individuals within organizations are taking the initiative to experiment with new L&D tools and approaches. He noted a significant challenge faced by L&D in contrast to marketing. While marketing is often viewed as contributing to product sales, L&D is generally seen as a cost center in many organizations. Consequently, L&D needs to focus on improving efficiencies to demonstrate its value. One way to achieve this include demonstrating how AI can improve corporate learning KPIs, such as course development cost, employee learning engagement rates, and labor turnover. The primary focus for L&D, according to David, is on enhancing efficiencies in training and development processes. This focus is expected to increase as L&D professionals explore ways to optimize their practices. David anticipates that in the future, the pressure for efficiency and innovation within L&D will come from the top levels of organizations, including CEOs. As the adoption of new L&D practices and technologies becomes more normalized, senior executives will likely seek ways to improve the efficiency of their L&D groups. Watch the official launch of the Smartcat AI content generator and listen to the captivating panel share their expert knowledge. Book a 30-minute personalized demo to see the AI content generator in action.
Smartcat最近举办了一场在线发布会,展示我们的全新产品Smartcat AI Content Generator。来自翻译、L&D、营销和其他行业的500多名专业人士出席了会议。如果你错过了,你可以观看发射活动的录音。 在此次活动中,我们深入探讨了内容创作和翻译领域的一些最前沿的话题,探索了Smartcat AI的卓越功能。我们尊敬的行业专家小组,包括大卫凯利,在学习公会首席执行官; Mike Kaput,Marketing AI Institute的CCO; Nimdzi Insights高级顾问Laszlo Varga;和Smartcat产品总监Igor Afanasyev进行了一场发人深省的讨论。这个小组阐明了AI如何彻底改变内容生成,翻译等。 Mike Kaput - AI在营销领域的变革性作用 Marketing AI Institute的首席内容官Mike Kaput分享了关于AI在营销中的地位的几个关键见解。他的评论强调了人工智能在营销领域的不断发展,领导层和从业者对利用人工智能技术改善营销成果的兴趣越来越大: 一般营销人员仍处于采用AI技术的早期阶段。许多企业都在试图了解人工智能在其营销工作中的实际应用和投资回报率(ROI)。 CEO和CMO对探索大型语言模型和生成式AI的可能性越来越感兴趣,这标志着行业对AI态度的转折点。 管理人员和个人贡献者都积极参与。根据Marketing AI Institute最近进行的一项调查,大约98%的营销领导者和从业者正在以某种身份使用AI工具。这种采用跨越了整个组织层次,高管将AI集成到工作流程中,从业者进行自己的实验。 AI在营销中的应用不仅限于自上而下或自下而上的方法;两个方向同时发生高管们正在积极寻求将人工智能纳入其战略的方法,而个人贡献者则独立地尝试人工智能工具。我们的目标是让这两种方法融合在一起,并在组织内制定正式的人工智能战略、流程、政策和指导方针。 Laszlo Varga -评估人工智能在本地化和语言行业的现状和未来 本地化和语言行业研究和咨询公司Nimdzi Insights的首席顾问Laszlo Varga强调了语言行业对大型语言模型的谨慎而探索的方法,重点是了解其潜在的好处和翻译以外的应用。 虽然大型语言模型令人兴奋,但语言行业的破坏程度仍然没有其他行业那么大。这是因为许多大型语言模型是通用工具,而不是为特定应用程序而构建的。 关于投资回报率(ROI)和大型语言模型实现的实际效率,存在持续的不确定性,类似于围绕机器翻译的最初怀疑,后来已经成熟。 语言行业中大型语言模型的主要用例是翻译。然而,Laszlo强调,大型语言模型的其他功能超出了翻译,不应被忽视。各种组织正在探索和测试这些能力。 许多组织目前正处于测试阶段,试图确定使用大型语言模型的实用性和质量。人工智能模型固有的不可预测性在确保一致的质量方面提出了挑战。 Laszlo强调了业界对学习其他人在大型语言模型方面的经验的兴趣,并寻求对其潜在应用和好处的见解。 David Kelly -探索AI在学习和发展中的挑战和机遇 首席执行官在学习公会,大卫·凯利,强调了目前的自下而上的方法来创新的L&D,该领域面临的独特挑战,由于其成本观念,对效率的提高,以及自上而下的影响力,以推动未来的变化L&D的做法。 David强调,L&D正在经历一种自下而上的方法来采用新技术和实践。这意味着组织内的个人正在主动尝试新的L&D工具和方法。 他指出,与营销相比,L&D面临着一个重大挑战。虽然市场营销通常被视为有助于产品销售,但L&D通常被视为许多组织的成本中心。因此,L&D需要专注于提高效率,以展示其价值。实现这一目标的一种方法包括展示人工智能如何改善企业学习KPI,例如课程开发成本,员工学习参与率和劳动力流动率。 David表示,L&D的主要重点是提高培训和发展流程的效率。随着L&D专业人员探索优化其实践的方法,预计这一重点将增加。 David预计,未来,L&D内部对效率和创新的压力将来自组织的最高层,包括首席执行官。随着新的L&D实践和技术的采用变得更加规范,高级管理人员可能会寻求提高L&D团队效率的方法。 观看Smartcat AI内容生成器的正式发布,聆听迷人的专家小组分享他们的专业知识。 预订一个30分钟的个性化演示,了解AI内容生成器的实际操作。

以上中文文本为机器翻译,存在不同程度偏差和错误,请理解并参考英文原文阅读。

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