In our latest episode of Diaries of a Data Scientist we dive into one of the most pressing challenges we face today: 𝐇𝐨𝐰 𝐝𝐨 𝐰𝐞 𝐛𝐮𝐢𝐥𝐝 𝐭𝐫𝐮𝐬𝐭 𝐢𝐧 𝐀𝐈 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬? 👀👀

Kate recently met with a team of data scientists in Brazil, where key questions many of us have faced were raised:

— How do we make business teams trust our models❓

— How can we translate complex technical concepts into something business people 𝐫𝐞𝐚𝐥𝐥𝐲 understand❓

— And how do we ensure our models deliver exactly what’s needed❓

In this episode, we break down 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 you can use to bridge the gap between tech and business, build transparency, and most importantly—gain trust.

Plus, we’re sharing 𝐚𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞 on making your strategies more accessible and trusted, drawing insights from our experience, the Technology Acceptance Model (TAM), and how explainability is shaping trust in tech.

Trust me, you don’t want to miss this one. 😉

If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or 👍! This would help us a lot ♥️

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