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As more companies work to adopt AI for business processes, project costs and failure rates are on the rise. Why? No standard practice exists for implementing AI in business applications, and many organizations don’t have the skills, processes, and tools to mitigate risk. With COVID-19 these issues are exasperated as data science teams struggle to work remotely. In this webinar, Carlo Appugliese, NALA Program Director and a founding member of the DSE, and Wennie Allen, Business Director, Data Science and AI Elite, discuss how to navigate data science projects in the remote landscape, as well as the DSE Agile AI methodology to help you innovate while optimizing investments and reducing risk of failure.
Wennie the Business Director for the IBM Data Science and AI Elite (DSE) team at IBM. She dedicates her time to understanding and evangelizing the use of AI and ML technology to help businesses mitigate risk, save time and money, improve operations and increased revenue. Wennie has hosted of a podcast series as part of the “Making Data Simple” podcast called Stories from the Field, where she interviewed business leaders and practitioners to provide a unique perspective for the business leaders on AI adoption. Wennie is passionate about promoting equality at work, as well as empowering and equipping young women in the area of STEM through her volunteer work. She constantly strives to better herself and the work community she is in. IBM's Data Science and AI Elite (DSE) is a team of data scientists that work side-by-side with IBM clients to co-engineer AI solutions focused on solving these business challenges.
Carlo Appugliese is Program Director and a founding member of IBM’s Data Science and AI Elite Team (DSE) at IBM. DSE is a team of data scientists that work side by side with IBM’s clients to co-engineer AI solutions focused on outcome. Carlo has implemented a proven Agile AI methodology to help clients quickly gain value leveraging Machine Learning and Artificial Intelligence. He holds a proven track record in leveraging emerging technologies to drive innovation and has previously served as software engineer, application development manager, and director of innovation. Carlo also co-authored the DSE's O'Reilly eBook Agile AI: A Practical Guide to Building AI Applications and Teams to educate organizations on how to successfully leverage the agile AI methodology. Download the eBook here. IBM's Data Science and AI Elite (DSE) is a team of data scientists that work side-by-side with IBM clients to co-engineer AI solutions focused on solving these business challenges.