Generative AI Ideation
OpenAI's ChatGPT has become a sensation since its release, prompting businesses to explore the potential of generative AI. However, many companies are rushing into AI adoption without a clear problem in mind, leading to wasted resources. To effectively harness AI, businesses should approach it through the lenses of desirability, viability, and feasibility:
Feasibility: This lens focuses on the practicality of creating and delivering a solution. Generative AI excels with data-rich environments, making areas with extensive text data, such as emails, call transcripts, and documents, ideal for AI integration. While concerns about AI "hallucinations" or inaccuracies exist, businesses can mitigate these by incorporating human oversight or focusing on areas where creativity is valued.
Viability: This perspective evaluates the profitability of an AI solution. By analyzing where significant time is spent on documentation or data, businesses can identify areas ripe for AI efficiency improvements. The goal is to free up time, accelerate processes, and potentially drive more revenue. For instance, reducing time spent on documentation can speed up product development or customer onboarding.
Desirability: This lens emphasizes the human aspect, asking whether people will value and want the AI solution. Internally, businesses should identify tedious tasks that teams dislike. Externally, they should consider where text plays a pivotal role in customer interactions, exploring opportunities for AI to personalize content, streamline user tasks, or extract insights.
Incorporating these three lenses ensures that AI solutions are technologically sound, profitable, and user-centric. Collaboration is key: assembling an interdisciplinary team can provide diverse perspectives, fostering innovative ideas and ensuring alignment when moving to implementation.
