Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Business

Marketers Embrace Generative AI Tools to Enhance Efficiency and Productivity

Marketers in the industry are currently racing to implement generative AI tools in their strategies to enhance efficiency and productivity. Despite facing challenges such as limited budgets and a complex media landscape, Chief Marketing Officers (CMOs) are under pressure to achieve more with less. The recent evolution of the CMO role has further added to the difficulty of meeting these demands.

During the Cannes event, it was evident how CMOs are positioning themselves within the industry. The introduction of generative AI tools that promise to assist brands in achieving more with fewer resources has captured the interest of marketers. However, the effectiveness of these tools in delivering on their promises is still a subject of debate.

Some prominent brands like Klarna, U.S. Bank, and Toys ‘R’ US have already embraced generative AI and have reported positive outcomes in terms of accelerating processes. On the other hand, there are marketers who are currently in the testing phase to determine the optimal applications of generative AI in their marketing strategies.

Kristyn Cook, the CMO of State Farm, highlighted the importance of leveraging generative AI to enhance human capabilities in marketing. She emphasized the need to make humans ‘smarter, faster, better’ through the integration of AI tools while also elevating the quality of creative work.

However, critics within the industry caution against the superficial adoption of generative AI solely for marketing purposes. Leonid Sudakov, the President of Growth, Digital, and Platforms at Mars Petcare, emphasized the significance of aligning AI applications with the human experience to drive meaningful transformations. Sudakov cited a successful campaign where AI was used to enhance pet adoption rates by improving shelter photos, ultimately winning a prestigious award at Cannes.

Marketers are advised to avoid hasty implementation of generative AI driven by the fear of missing out or executive pressure. Instead, they should carefully evaluate how AI solutions align with their business objectives and customer needs. Sudakov highlighted the importance of focusing on solving real-world problems, emphasizing that the impact of AI lies in addressing critical issues effectively.

As the industry continues to explore the potential of generative AI, marketers are urged to approach its adoption strategically, ensuring that it adds tangible value to their operations and resonates with their target audience.

LEAVE A RESPONSE

Your email address will not be published. Required fields are marked *