AI – Voltage X

The Rising Influence of AI on Content Marketing

Voltage X — Wed, 26 Jun 2024 07:42:49 +0000

Artificial intelligence has made significant strides in content generation. Advances in natural language processing have helped AI generate more human-like communications. Constant improvements in machine learning has also made AI outputs more dependable. Rather than seeing AI as a rivalry, marketers can adapt it flexibly as an efficient tool.

AI in Content Creation

Artificial Intelligence in content creation involves algorithms that autonomously produce textual, visual, and audio materials without direct human intervention. AI content systems leverage diverse technical approaches, including machine learning, natural language processing, and neural networking.

The Potential of AI-Generated Content

AI-driven content has three distinguishing features:

1. Efficiency: AI content generators improve efficiency by speeding up content development and allowing marketers to focus on value-added areas.

2. Multilingual: AI’s analytical skills assess user interactions, customise content strategies, and adapt to global companies’ multilingual requirements.

3. Accuracy: Since AI is able to avoid grammatical and typing errors and adapt a consistent tone of voice, AI-generated content ensures quality and reliability.

The Limitations of AI-Generated Content

Nevertheless, there still areas AI can’t compete with humans:

1. Lack of originality: AI falls short when it comes to generating new and innovative ideas. AI algorithms are limited to what they have been programmed to do.

2. Lack of context: AI is largely unable to comprehend context, particularly cultural nuances and social references. The limited understanding of cultural references restricts AI’s ability to include them, even though they play a crucial role in making communications relevant, engaging, and effective.

3. Ethics and bias concerns: While algorithms themselves do not possess opinions or preferences, they can unintentionally produce biased, harmful, prejudiced, or discriminatory content. In the absence of critical thinking, AI content generators just mindlessly reproduce and amplify existing information.

CONCLUSION:

The bad (and good) news is humans are still generally more intelligent than artificial intelligence. As inherently creative beings, we are adept at recognising imaginative linguistic elements, such as wordplay and slang. Our judgements and perspectives are valuable and essential, when it comes to incorporating AI-generated content. Inputting creativity and addressing bias are still very much our job.

Voltage X offers creative content creation and visual design services, integrating AI and human intelligence, to suit your brand’s specific needs.

Programmatic in Digital Advertising

Voltage X — Wed, 20 Sep 2023 02:00:00 +0000

By leveraging technology and data-driven insights, programmatic marketing enables advertisers to deliver highly targeted and personalized messages at scale. In this article, we’ll delve into the intricacies of programmatic marketing and explore how it’s revolutionizing the advertising landscape.

What is Programmatic Marketing?

At its core, programmatic marketing involves using automated technology to purchase and optimize digital ad placements in real-time. This method replaces traditional manual processes, eliminating the need for negotiation and manual insertion orders. Instead, it relies on algorithms and data to ensure that ads are shown to the right people, in the right context, at the right time.

Key Elements

1. Real-time Bidding (RTB):

Programmatic marketing’s core is RTB, enabling real-time bidding on ad inventory. When users visit a site, their data is analyzed, allowing advertisers to bid on relevant ad placements instantly.

2. Data-Driven Insights:

Data shapes programmatic marketing. Advertisers use demographics, browsing, and purchase data to tailor ads to specific audience segments.

3. Ad Exchanges, demand-side platforms (DSPs) and supply-side platforms (SSPs):

Ad exchanges offer ad inventory, while DSPs help manage campaigns, refine targeting, and optimize bids, streamlining processes. SSPs enable publishers to manage and optimize their advertising inventory for programmatic buying.

4. AI and Machine Learning:

AI and machine learning optimize bidding, identify top-performing placements, and personalize ad content using user behavior data.

How does it work?

Programmatic marketing utilizes automated technology and algorithms to streamline the buying and selling of ad inventory in real-time auctions. Advertisers use Demand-side Platforms (DSPs) to specify their target audience, budget, and campaign goals. The DSPs then bid for ad impressions on ad exchanges, where publishers make their inventory available through Supply-side Platforms (SSPs). The highest bidder wins the auction and their ad is instantly displayed to the targeted user. This automated process allows for precise targeting, efficient campaign management, and effective optimization, resulting in more relevant and impactful advertising experiences.

Advantages of Programmatic Marketing

1. Precision Targeting: Programmatic marketing allows for hyper-targeted campaigns, ensuring your ads reach the right audience with minimal wastage.

2. Efficiency and Automation: By automating the buying process, programmatic marketing reduces manual efforts, saves time, and increases campaign efficiency.

3. Real-time Optimization: Ad placements and bids are adjusted in real-time based on performance data, ensuring optimal results throughout the campaign.

4. Data-Driven Decision Making: Access to real-time data empowers advertisers to make informed decisions, refine strategies, and maximize ROI.

5. Scale and Reach: Programmatic marketing enables advertisers to reach a broader audience across various websites and platforms, all managed from a centralized platform.

6. Personalization: With AI-driven insights, advertisers can personalize ad content to align with the preferences and behaviors of individual users.

總結

Personalized programmatic marketing drives impactful campaigns by leveraging automation, data-driven insights, and precise targeting. Join us to create compelling marketing strategies that resonate with your audience and inspire action. Let’s make marketing that leaves a lasting impact.

PR 🞨 AI：人工智能時代下的公共關係

Voltage X — Wed, 21 Jun 2023 02:00:00 +0000

從媒體監測和個人化訊息傳遞，到公關危機管理和預測分析，人工智能（AI）漸漸地改變了公關從業員處理媒體關係、分析數據和與目標受眾接觸的方式。人工智能賦予從業員工具去提高工作效率、精確度和決策力。本文將淺談人工智可怎樣改變公關處理方式，日後如何影響大眾傳播。

1. 媒體監測和分析

人工智能工具通過自動跟踪品牌提及（brand mentions）、情緒分析（sentiment analysis）和競爭情報（competitive intelligence）的過程，改變了媒體監測。精密演算法可掃描分析大量的新聞文章、社交媒體帖文和線上內容，提供對公眾情緒的實時見解，並幫助公關從業員掌握趨勢和問題。

2. 危機管理和輿情監測

人工智能技術通過檢測早期預警訊號，和分析危機中的情緒來幫助危機管理。通過實時監測和分析，公關團隊可以識別新出現的問題，評估公眾情緒，並迅速做出適當的反應，減輕潛在的聲譽損害。

3. 內容創作和策劃

人工智能的演算法可以根據預定義的模板生成內容，讓公關從業員將更多時間用於策略規劃上。通過輸入關鍵訊息和提供一個大綱，人工智能演算法試著產生連貫和吸引人的文案，遵循特定的寫作風格或品牌聲音。這些模型從大量的數據中學習，生成與人寫的內容非常相似的文案。

4. 識別相關網紅KOL 和 PR 合作

人工智能通過分析社交媒體數據和互動指標，簡化了識別相關網紅/KOL的過程。人工智能演算法可以根據受眾的人口統計學、興趣和參與程度將品牌與網紅/KOL配對，幫助公關從業員建立有影響力的PR合作關係並放大品牌訊息。

5. 預測分析

人工智能的預測能力協助公關從業員預測趨勢及潛在危機，並修改活動策略。通過利用歷史數據和機器學習（machine learning）演算，公關團隊可以進行數據分析預測，改善資源分配，並在快速發展的媒體環境中搶佔先機。

總結

人工智能技術正徹底改變公關領域，為公關從業員提供強大的工具，以簡化流程，提供個人化的體驗，並做出有數據支持的決策。通過利用人工智能得出解決方案，公關從業員可以提高他們的效率，精準定位目標受眾，並在一個日益數碼化和相互聯繫的世界中保持競爭優勢。擁抱人工智能的變革潛力，可以釋放新的可能性，並在不斷發展的公共關係領域保持優勢。