On this episode of Data Strategy Guru's, we explore the challenges organizations face when moving data from on-premises to the cloud, working with cloud-based data sources, and dealing with data literacy. Automation is an underused key component in analytics and data technology. We'll also discuss the democratization of data through embedding analytics workflow and providing more users with access to data. Our guest shares insights into AI's role in serving a broader community of users if delivered the right way. The focus is on helping clients solve problems with data with easy-to-deploy AutoML models and productizing the methodology around it. Join us as we look into how Qlik is investing in innovation and new capabilities that support an end-to-end pipeline for generating insights and taking action. ---- James Fisher is a problem solver extraordinaire in the world of data. With a passion for helping customers overcome challenges, James is dedicated to making the process of utilizing data easier and more efficient. He understands the demands faced by individuals within his vast customer base and recognizes the abundance of available data. James believes that data literacy is a key challenge and strives to innovate and deliver new capabilities that streamline the process. His ultimate goal is to ensure that the right data is in the hands of the right people, enabling them to generate insights and take action seamlessly. James is here to discuss his innovative solutions and how they can revolutionize the world of data.