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Millennial AI in Marketing: Tagglabs Founder Explores the Revolution and Ethical Challenges
New Delhi (India), August 24: In the ever-changing landscape of digital marketing, a new force is reshaping the foundations of the industry: generative AI (Gen AI). This revolutionary technology is not just a passing trend, but a transformative tool that is redefining the way marketers conceptualize, create, and execute their campaigns. As we enter a new era in marketing technology, the integration of generative AI brings both unprecedented opportunities and complex challenges. From hyper-personalized content creation to AI-driven ad targeting and virtual assistants, generative AI is opening new frontiers of possibilities and effectiveness. However, with this power comes a responsibility that cannot be ignored.
In this in-depth interview with Hariom Seth, Founder of Tagglabs, we dive into the heart of this AI-driven marketing revolution. We explore emerging trends that are improving the effectiveness of marketing strategies, while addressing ethical considerations and potential risks associated with over-reliance on AI. As marketers navigate this new terrain, they must balance the appeal of automation and data-driven decision-making with the irreplaceable value of human creativity and ethical considerations. This discussion aims to provide marketers with valuable insights and practical advice on how to harness the power of AI responsibly, ensuring they stay at the forefront of innovation while retaining the human touch that is essential for authentic brand connections.
1. What are the emerging trends and opportunities in Gen AI marketing?
AI is used by marketers at almost every stage of their workflow. From content creation to predicting campaign performance, AI has helped automate manual tasks. With its ability to analyze large data sets, AI brings increased efficiency and personalization.
• AI improves ad targeting by suggesting the best ways to adjust the message and get better results. Programmatic advertising helps advertisers serve ads and therefore spend money only to potential customers visiting a platform based on the data provided to them through a data management platform (DMP). As a result, they deliver hyper-personalized content.
• Marketers are extensively using AI tools for image/video and text generation. Tools like Midjourney, Pika, Bing, and even Canva help marketers generate images while tools like Rytr and Quillbot help them generate content for their campaigns
• AI-powered chatbots and virtual assistants – since they are available 24 hours a day, they can provide immediate assistance to answer marketers’ questions. They are usually trained on large amounts of data and work with the help of natural language processing technology. They can generate case studies and statistics in seconds. Thus, the marketer saves time in his research.
2. How can marketers prepare for the future of AI-powered marketing?
Marketers need to embrace their fate and learn to collaborate with AI to create unique campaigns. Therefore, they need to update themselves with the latest AI tools in the market and practice using them. They will also need to collect data and partner with data scientists and AI engineers to develop and implement AI-powered marketing strategies. Trends also suggest that fast AI-powered customer service leads to higher customer satisfaction. It also saves human agents time and allows them to work on more complex projects. AI is carefully designed to distinguish real influencers from fake ones. Influencer network analysis identifies factors such as follower interaction rates, quality of engagement, and content relevance, ensuring that businesses connect with real and relevant influencers who are best suited for their target audience.
3. What are the potential risks and challenges associated with over-reliance on Gen G AI in marketing?
The biggest risk posed by over-reliance on AI generation is the loss of true human creativity. Marketers could stop using their minds to generate original ideas and rely heavily on AI, which could produce known or mediocre results that may not help a campaign. AI is fantastic for automating some manual work, but not all. Idea generation should primarily be done by humans and only supplemented by AI. AI chatbots are fast and efficient at providing case studies of successful campaigns in one go, saving the marketer a lot of time. They can quickly learn global best practices, but will need to use their minds to customize them to benefit their campaigns. So AI is great for improving efficiency and saving time, but it is no substitute for the hard work and practice that goes into innovative thinking.
4. How can marketers ensure that Gen G AI is used ethically and responsibly?
Data breaches can not only lead to misuse of personal data, which can harm individuals, but also damage the reputation of companies. The best practices that a marketer should follow when handling a large amount of personal data are:
• Anonymize data
• Encrypt data
• Regularly audit security protocols
Marketers must focus on creating “fair” models, that is, models that are constrained by law, philosophy, and social science. They must also be transparent about the content they present and how AI content is used. They must inform their users how and why their data will be used, and update their AI systems in accordance with the latest ethical standards.
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