Business leaders are becoming increasingly familiar with the potential of generative AI (genAI) to bring transformational power to their organizations. However, there is still much to be learned about how to effectively incorporate this technology into their businesses. It is important for companies to understand not only how to choose the right large language model (LLM) but also how to integrate genAI into their operations.
One of the key challenges facing genAI projects is uncertainty at the outset and the criticality of building the right data set. This is why continuous sponsorship is recognized as vital for these projects. In a webinar hosted by Marcus Braun and Mikio Ogawa from DataRobot, insights were offered on the varying knowledge and expectations of customers regarding genAI, as well as successful deployment in key use cases today. The pivotal role of executive sponsorship and change management was also highlighted in determining genAI investment areas.
Best practices include establishing appropriate data sets and robust project management practices around genAI projects. For more detailed insights, a summary report of the webinar is available for download. Organizations can also explore how DataRobot can support their use of genAI in business strategies. As experts in the field, Marcus Braun, SVP of Strategic Innovations at DataRobot, and Mikio Ogawa, VP Japan of Applied AI Experts at DataRobot, are instrumental in guiding organizations on leveraging genAI effectively in their operations.
