人工智能的兴起:人工智能用于驱动数字Transformation in 2023

Nowadays, it’s getting easier to find AI tools with various use cases across industries.

For instance, in business, you can find tools for automation, operations, and customer support. They can also be used to analyze, integrate, and visualize data. In marketing, AI tools have become an invaluable addition to a brand’s arsenal. With the help of artificial intelligence, email marketers can生成内容更多Quickly并提高电子邮件的有效性。

Other industries and sectors, such as卫生保健, telecom, retail, and education, are also reaping benefits from using artificial intelligence tools.

As the world slowly embraces artificial intelligence, the AI market will beworth USD 1,811.75 billion by 2030, indicating a compound annual growth rate (CAGR) of 37.3% (2023-2030).

One of the major contributing factors to the industry’s rapid growth is how tech companies are making such technology more easily accessible to users. Furthermore, the growing demand for AI technology across industries fuels its tremendous growth.

Given its growing popularity, how will AI play a role in driving digital transformation initiatives? What implications can you expect when using AI for digital transformation?

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人工智能的兴起:人工智能用于驱动数字Transformation in 2023:

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什么是人工智能？

Artificial intelligence (AI) refers to a branch of computer science that builds machines or systems that are capable of simulating how the human brain works. For instance, an AI system can automate routine tasks, solve problems, and learn from previous experiences. One common and very limiting view of AI and what the technology can do is that it’s just about creating intelligent machines or systems. However, AI is much more complex than that. Several components in AI systems include machine learning, deep learning, and natural language processing (NLP). AI systems take a vast amount of training data and analyze them by looking for correlations or patterns, which it will then use to make predictions. AI needs to be “trained” for it to be able to generate better, more accurate, and more lifelike responses or to generate actionable information.

There are four main categories of AI, which are categorized based on their type and the complexity of the tasks they can perform. . These are:

Reactive Machines

Reactive machines are capable of performing limited tasks. It operates on a primary level and thus is only able to perceive and act upon certain stimuli. It’s not capable of predicting future actions. One example of a reactive machine is the IBM Deep Blue, which was an IBM computer that beat the Russian chess grandmaster Garry Kasparov in 1997.

尽管范围有限，但在完成重复任务时，反应式机器仍可以开发出更加复杂并派上用场。

Limited Memory

有限的内存AI可以存储以前的数据和预测，以识别潜在的未来结果。这种类型的AI经过持续训练，可以分析和利用新数据集。

Theory of Mind

Theory of mind AI is considered the “下一级”人工智能。心理理论AI应该能够理解思想的运作方式，包括情感和行为，并使用它来做出自己的决定。

Self-Awareness

自我意识AI，否则称为Sentient AI是AI开发的“最后一步”，尚未发生。一旦AI系统建立了一种心理理论，它就会有助于使人工智能自我意识，从而达到与人类相同水平的意识水平。

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Real-World Use Cases of AI Technology

AI is a vital tool that allows businesses to gain operational insights, which can help them streamline workflows and optimize processes.

Aside from uncovering insights, AI can have other real-world applications. Below are just a few examples of how AI is being used in the real world:

Speech Recognition

语音识别是许多AI应用程序不可或缺的一部分。通过在AI中的语音识别，计算机或应用程序可以“理解”人类语音，将其转化为文本以促进语音搜索或更准确地处理信息。

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Recommendations

使用人工智能算法analyze data trends and consumer behavior data can allow businesses to develop enhanced strategies. These can then be used to offer more relevant or useful recommendations for their customers.

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Customer Service

One of the most common examples of how AI is transforming the field of customer service is chatbots or virtual agents. These AI-powered tools enable customers to answer questions quickly, offer personalized recommendations and answer a customer’s frequently asked questions (FAQs) without necessarily needing human intervention.

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卫生保健

AI technology is already being extensively used in the healthcare industry. For instance, they use AI predictive analytics to help healthcare professionals identify whether or not a patient needs surgery, therefore mitigating any potential risks and taking avoidable surgeries out of the equation. Aside from predictive analytics, AI’s machine learning capabilities can help medical experts diagnose and take proactive measures against infectious diseases. Moreover, AI in healthcare apps can help patients monitor their daily care, such as giving them alerts for medications, thus allowing them to become more proactive when it comes to their health.

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Manufacturing

AI也被证明是制造业中必不可少的工具。例如，库存管理系统可以整合人工智能以简化流程并减少人为错误。AI的高级数据分析还可以使旨在通过帮助降低风险，可视化数据并更快地做出更好决策的公司有益于实现数字化转型的公司。

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How AI Is Driving Digital Transformation Initiatives

Digital transformation (DX) refers to the process of how companies incorporate different technologies to promote changes or transform existing business processes, cultures, and experiences. Through digital transformation, businesses can better meet changing market and consumer demands, as well as become more efficient and agile.

Automation vs. AI

Automation and AI are sometimes used interchangeably because, at first glance, they seem similar. However, they’re two different things. Before we dive deeper into how AI facilitates digital transformation initiatives, it’s vital that we first determine the differences between automation and AI.

Automation refers to a system that can run by itself with little to no human intervention. It works by following a set of patterns or rules and is widely used in fulfilling routine tasks. While automation does use traditional software, it’s possible to take its capabilities to the next level by incorporating AI branches like machine learning and deep learning (AI automation).

Meanwhile, artificial intelligence refers to a technology capable of simulating how humans think. It uses data to recognize and learn patterns and use what it has learned to make predictions or actionable decisions. AI is capable of learning from datasets since it involves a system learning from data and evolving, unlike pure automation (without AI). It also “learns” from human interactions and can be “trained” using datasets.

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AI-Powered Digital Transformation

There’s no one-size-fits-all formula when it comes to achieving digital transformation. It is important to keep in mind that customer expectations are the primary driver of DX. Aside from being able to conduct business digitally, today’s consumers expect that businesses will be able to provide them with omnichannel experiences.

For example, one company might use AI to create enhanced experiences for their customers, while others leverage newer technologies to bolster its supply chain management. Furthermore, some companies may opt to use AI to enhance or complement IT activities, such as bolstering cybersecurity measures and addressing their users’ tech problems, while others might use AI to create bespoke marketing campaigns and promotions.

Without digital transformation, it can be difficult for businesses to keep up with the changing market requirements and consumer expectations. By embracing digital technologies, such as AI, businesses are better able to create experiences for their customers, deliver more value, and transform the way they operate.

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The Benefits of AI in Digital Transformation

人工智能是驱动数字转换的组成部分。例如，通过利用AI驱动的流程，公司可以更快，更有效地对意外变化或新兴趋势做出反应。AI算法可以从以前的经验和数据集中学习，因此可以分析潜在的结果，甚至可以减轻未来的风险。

Some of the other benefits of using AI to facilitate digital transformation initiatives include:

• Facilitating more effective decision-making processes

AI有助于优化业务流程，同时减轻任何潜在风险。这使管理人员可以访问关键信息，从而使他们可以更快地做出更有效的决策。例如，当您将AI解决方案纳入操作中时，它可以处理和分析大量数据。通过足够的培训，您的AI解决方案可以从这些互动和示例中“学习”，从而使其能够做出更准确的建议或预测。

• Enhanced profitability

通过将AI解决方案纳入您的业务流程和工作流程中，您可以最大程度地降低风险并更有效地提高运营效率。反过来，这可以帮助加速您的组织的增长。在盈利能力方面，AI解决方案可以帮助您优化不同的营销渠道，运行测试和规模营销活动。

• 对客户有整体看法

使用AI促进DX计划的关键好处之一是，它使您可以对客户有360度的视野。AI能够获取大量数据并分析其以发现新兴趋势和消费者行为的变化。通过给您可行的见解，AI可以帮助您创建量身定制的广告系列，制作超级目标的消息传递或广告，并在不同渠道上提供更平稳的客户体验。

• 增强的分析

Data is essential to any digital transformation strategy, and AI solutions can help you collect and capitalize on the data you’ve gathered. AI is capable of processing thousands, if not millions, of data points to uncover insights and trends in real-time. With this, you can make data-driven decisions and be better able to anticipate your customers’ needs.

当公司使用AI推动DX计划时，它们可能会变得更具创新性，灵活和敏捷性。这是因为AI可以帮助他们简化复杂的流程，简化业务流程以提高生产率，使用数据来改善当前产品，并改善了改进的业务策略。

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AI Marketing in 2023

AI marketingis a growing marketing subset.

In AI marketing, artificial intelligence components, such as advanced machine learning, are used to streamline and automate marketing processes (intelligent automation). Additionally, AI is increasingly being used in marketing to deliver highly personalized content to customers, automate repetitive or time-consuming tasks, leverages customer data to gain deeper insight into customer behavior, reduce labor costs, and allow marketers to respond quickly to emerging trends and changing market landscapes.

A2023年有影响力营销中心的调查金博宝188备用网址shows that 61.4% of marketers are using AI in their marketing operations. Moreover, more than half of the respondents (54.5%) are optimistic that AI can help them improve their marketing efforts.

AI和AI驱动的工具被广泛用于营销中，用于创建内容，广告定位，预测分析和营销自动化。

AGartner reportshows that by 2025, organizations that use AI in marketing operations will shift 75% of their employees’ operations to more strategic activities, thus reducing friction and redundancy. Furthermore, by that same period, emotion AI will be used toinfluence 30% of the messagingthat consumers will receive. Emotion AI works by studying buyers’ faces and their emails to determine which ads will work for certain buyers.

Moreover, businesses are starting to use AI more strategically. In fact,one-third of the organizations surveyed by Gartner已经在不同的业务部门中使用了AI。

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AI and Influencer Marketing

AI is already在有影响力的营销中浪潮金博宝188备用网址.

金博宝188备用网址有影响力的营销挑战正在解决，例如如何防止有影响力的欺诈，分析目标受众并将影响者的内容与正确的影响者匹配，以及其他应用。

Aside from being used to address these challenges, AI is also used to transform the influencer marketing industry. For instance, businesses are using AI to implement contract terms, improve compliance with FTC regulations, predict influencer performance, and run simultaneous influencer campaigns.

企业还使用AI与虚拟影响者, which are digital avatars created by computers and managed by humans. These lifelike digital avatars go on to build a following and “work” with brands. Some of today’s most popular virtual influencers include Lu do Magalu, Lil Miquela, and Imma.

@lilmiquela

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Achieving Digital Transformation with AI

AI越来越多地穿透我们的日常生活，从帮助用户生成内容和检测欺诈到自动化业务流程并分析大量数据。尽管不再只是科幻小说的东西，但不可否认的是，AI技术还有很长的路要走。

As it is now, AI is already being used to drive digital transformation. Aside from enhancing productivity and efficiency in the workplace, as well as reducing human error and redundancy, AI equips businesses with the capacity to create better digital transformation strategies. That’s because AI allows them to have a 360-degree view of their customers, therefore allowing businesses to have a better understanding of their audience and uncover consumer insights faster. This, in turn, helps businesses create strategies optimized to nurture customer loyalty, offer more value, and create more effective campaigns.

Moreover, AI helps businesses mitigate risks, enabling them to grow faster and be better able to facilitate innovation and creativity.

AI does have a lot of benefits in store for businesses. However, it’s worth noting that it still has some drawbacks. For instance, while AI tools and systems are easily accessible, learning how to use them might entail a bit of a learning curve. Also, if you’re planning on building your own AI system or application, you’ll need to have qualified workers who have the necessary technical skills onboard.