The adoption of generative AI (genAI) is gaining momentum among businesses, but it’s still a work in progress to gain the trust of business leaders. To effectively integrate genAI into their operations, organizations need to understand how to do it correctly rather than just using a large language model. Successful investments in genAI require strong executive sponsorship, a targeted ROI measurement framework, and rigorous organizational change management.
One of the challenges that come with genAI projects is the uncertainty and need to build the right data set during the initial stages. Ongoing sponsorship is crucial for navigating these challenges effectively.
During a webinar hosted by DataRobot, Marcus Braun and Mikio Ogawa discussed various key ideas on genAI, including customers’ varying knowledge and expectations about genAI, successful deployment of genAI in important use cases, and the critical role of executive sponsorship and change management in determining investment in genAI. Additionally, best practices such as identifying an appropriate data set and implementing strong management practices for genAI projects were emphasized.
To learn more about how DataRobot can help organizations leverage genAI in their business strategies, download the webinar summary report. Marcus Braun serves as SVP of Strategic Innovations at DataRobot, while Mikio Ogawa is VP Japan of Applied AI Experts at DataRobot.
