š šš¢šš” šš”š š«š¢š¬š šØš š šš§šš«ššš¢šÆš šš š¢š§ šš”š š„šš¬š š²ššš«, šš/šš š”šš¬ šššš§ š©š®š šØš§ š š©šššš¬ššš„ šš¬ šš”š šš®šš®š«š šš§š š¦š®š¬š-š”ššÆš ššØš« šš®š¬š¢š§šš¬š¬, šš®š ššØš®š„š šš”š¢š¬ šš¬š¬š®š¦š©šš¢šØš§ šš ššØš¢š§š š¦šØš«š š”šš«š¦ šš”šš§ š šØšØš?
š§ In this episode of The Stacked Data Podcast, we dive deep into understanding the strategies for implementing ML/DS effectively and avoiding common pitfalls that lead to a lack of ROI and missed opportunities.
š„ Join me as I chat with Irina Ioana Brudaru, the Head of Data from Element Insurance AG. Irina has had an incredible career, including a stint at Google; her passion for this subject is infectious. Tune in to uncover insights into:
ā”ļø What is ML & AI, and how are they linked/differentiated?
ā”ļø How can a business determine the right time to incorporate machine learning and data science into its operations?
ā”ļø Signs indicating a company is ready to bring in ML expertise.
ā”ļø Strategies for building a team and infrastructure ready to utilise ML/DS projects.
ā”ļø Common pitfalls when launching DS/ML capabilities and their consequences.
ā”ļø We touch on some of the latest tools that are breaking down the barriers to advanced ML like Infer
ā”ļø Balancing immediate gains with a long-term vision in developing ML products.
šļø Tune in and Iād love you to give us a FOLLOW to hear all the great conversation we have coming up!