013 - Demythifying ML Strategies

What this episode covers

🔍 𝐖𝐢𝐭𝐡 𝐭𝐡𝐞 𝐫𝐢𝐬𝐞 𝐨𝐟 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐢𝐧 𝐭𝐡𝐞 𝐥𝐚𝐬𝐭 𝐲𝐞𝐚𝐫, 𝐀𝐈/𝐌𝐋 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 𝐩𝐮𝐭 𝐨𝐧 𝐚 𝐩𝐞𝐝𝐞𝐬𝐭𝐚𝐥 𝐚𝐬 𝐭𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐦𝐮𝐬𝐭-𝐡𝐚𝐯𝐞 𝐟𝐨𝐫 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬, 𝐛𝐮𝐭 𝐜𝐨𝐮𝐥𝐝 𝐭𝐡𝐢𝐬 𝐚𝐬𝐬𝐮𝐦𝐩𝐭𝐢𝐨𝐧 𝐛𝐞 𝐝𝐨𝐢𝐧𝐠 𝐦𝐨𝐫𝐞 𝐡𝐚𝐫𝐦 𝐭𝐡𝐚𝐧 𝐠𝐨𝐨𝐝? 🎧 In this episode of The Stacked Data Podcast [https://www.linkedin.com/feed/?nis=true], 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. 👥 Join me as I chat with Irina Ioana Brudaru [https://www.linkedin.com/feed/?nis=true], the Head of Data from Element Insurance AG. Irina has had an incredible career, including a stint at Google [https://www.linkedin.com/feed/?nis=true]; her passion for this subject is infectious. Tune in to uncover insights into: ➡️ What is ML & AI, and how are they linked/differentiated? ➡️ How can a business determine the right time to incorporate machine learning and data science into its operations? ➡️ Signs indicating a company is ready to bring in ML expertise. ➡️ Strategies for building a team and infrastructure ready to utilise ML/DS projects. ➡️ Common pitfalls when launching DS/ML capabilities and their consequences. ➡️ We touch on some of the latest tools that are breaking down the barriers to advanced ML like Infer [https://www.linkedin.com/feed/?nis=true] ➡️ Balancing immediate gains with a long-term vision in developing ML products. 🎙️ Tune in and I'd love you to give us a FOLLOW to hear all the great conversation we have coming up!