Managing Director Edward Hanapole Featured in Harvard Business Review
Moving Generative AI from Experimentation to Operation
The rapid advancement of Generative AI (Gen AI) is driving innovation across various industries, from legal document processing to demand forecasting and customer service. Organizations are moving beyond experimentation to operationalize Gen AI, unlocking efficiencies, cost savings and new revenue streams.
However, AI adoption is not without its hurdles. Many enterprises struggle with identifying the right use cases, sourcing data, ensuring quality and complying with regulatory requirements. The key to success lies in a well-defined AI strategy, robust governance models, leveraging ecosystem partners and a collaborative approach that involves cross-functional teams.
A&M Public Sector Services Managing Director and Chief AI officer Edward Hanapole recently featured in Harvard Business Review, offering valuable insights into the Gen AI adpotion journey. He emphasizes the importance of preparation, collaboration and a clear framework for success. "During the initial efforts of prototyping, it is essential to understand the art of what is possible. Some projects will be valid and useful, while others may require reevaluation," says Hanapole. He also stresses the need for cross-functional collaboration, robust data preparation and well-defined success metrics to ensure Gen AI delivers repeatable, measurable value.
Key Takeaways:
- Gen AI is driving innovation across industries, from legal document processing to demand forecasting and customer service.
- Success requires a balance of internal expertise and external partnerships to avoid pitfalls like poor architecture, data quality issues and unclear metrics.
- Responsible AI practices, including transparency, ethical deployment and sustainability, are critical for long-term success.
