Rapid adoption and iteration is key to AI success

Use of AI to solve complex marketing and customer experience challenges is clearly gaining momentum but it can feel out of reach for many organizations that don't have the ability to create an internal capability. Our team at CorebrandAI believes that adopting AI quickly using "bespoke" models, rather than building from scratch, can be the best path for marketing managers for several reasons:

1. Competitive advantage: AI technologies have the potential to provide significant competitive advantages in marketing. By adopting AI quickly, marketing managers can stay ahead of their competitors and take advantage of new opportunities. Being an early adopter allows companies to gain insights, automate processes, and make data-driven decisions more effectively, giving them a head start. Roughly 63% of companies in the US are still experimenting with AI and only 12% are achieving differentiation and operationalized value according 埃森哲 Research. Adoption is accelerating at an exponential rate but the window of opportunity is still wide open.
2. Rapid learning and iteration: AI implementation is a learning process. By adopting AI quickly, marketers can start gathering real-world data and feedback, which enables them to learn from the outcomes and iterate their strategies. The iterative approach allows for continuous improvement, refinement, and optimization of AI algorithms, models, and campaigns.
3. Time-sensitive insights: Marketing campaigns often require timely decision-making. By adopting AI quickly, executives and managers can leverage real-time or near-real-time data analysis to gain actionable insights promptly. AI algorithms can process vast amounts of data quickly and provide valuable insights that can be used to optimize marketing strategies and respond to changing market dynamics faster.
4. Cost efficiency: AI implementation may require upfront investment, including technology infrastructure, talent acquisition, and training. However, waiting for the perfect solution or attempting to achieve perfection before adoption can lead to missed opportunities and increased costs. By embracing AI quickly using bespoke methodologies, that are use case specific and highly flexible, marketing managers can start realizing the benefits of AI sooner, driving efficiency gains and potentially reducing costs over time.
5. Competitive learning and experimentation: AI adoption involves learning from experience and experimentation. By adopting AI quickly, marketers can gain valuable hands-on experience with AI tools, technologies, and methodologies. They can test different AI-driven marketing approaches, experiment with various algorithms, and understand the strengths and limitations of AI in the marketing context. This knowledge can be leveraged to refine strategies, identify best practices, and gain a deeper understanding of how AI can benefit their specific marketing goals.
6. Flexibility and adaptability: The field of AI is rapidly evolving, with new algorithms, techniques, and applications emerging regularly. By adopting AI quickly, marketers can remain adaptable and flexible to embrace future advancements. They can integrate new AI technologies as they become available and continuously evolve their marketing strategies to align with the latest AI capabilities.

While adopting AI quickly has its benefits, it is essential to strike a balance between speed and quality. Adequate planning, proper implementation, and ongoing evaluation are necessary to ensure the successful adoption and integration of AI into marketing practices. Regular monitoring, feedback analysis, and continuous learning are crucial to refine AI strategies and maximize their effectiveness over time.

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