Unleashing the Power of Generative AI in Business: Best Practices for Successful Implementation and Integration
In recent years, generative AI (genAI) has emerged as a powerful tool in business. However, many leaders are still unfamiliar with how to incorporate genAI into their organizations effectively. As such, understanding how to integrate genAI is more critical than simply selecting a large language model (LLM) to use.
To achieve success with genAI investments, organizations must have solid executive sponsorship, a targeted ROI measurement framework, and rigorous organizational change management. Marcus Braun and Mikio Ogawa from DataRobot offer insights in a webinar that delves into the role of genAI in business and its potential to bring transformational power.
The webinar highlights the varying knowledge and expectations of customers regarding genAI and the successful deployment of genAI in key use cases today. Additionally, the pivotal role of executive sponsorship and change management in determining genAI investment areas is emphasized. Establishing appropriate data sets and robust project management practices around genAI projects are considered best practices.
For more detailed insights, a webinar summary report is available for download. Organizations can also explore how DataRobot can support their use of genAI in business strategies. Marcus Braun, the SVP of Strategic Innovations at DataRobot, and Mikio Ogawa, the VP Japan of Applied AI Experts at DataRobot, are experts in the field and are instrumental in guiding organizations on leveraging genAI effectively in their operations.
In conclusion, incorporating genAI into businesses requires careful planning and execution. By following best practices such as establishing appropriate data sets and robust project management practices around genAI projects and having solid executive sponsorship and ROI measurement frameworks in place, organizations can achieve success with their genAI investments.
