Mo Hallaba is CEO of datawisp.io , an AI-based analytics tool to help non-technical teams understand their product and users better. He was previously working in financial services and the e-sports industry. In today's episode: The challenges of data-informed decision making How AI can help solve some of these challenges The limitations of AI — Mo and Datawisp's contact info: • Twitter/X: https://www.x.com/electronicmo • Website: https://www.datawisp.io — Where to find the host, Adam Wakeling: • Twitter: https://twitter.com/adamjwakeling • LinkedIn: https://www.linkedin.com/in/adam-wakeling-26494b35/ • YouTube: https://www.youtube.com/@TheProductDevelopmentPodcast In this episode, we cover: 00:00 Preview 01:23 Intro 02:25 Mo's background 04:04 How e-sports teams use data 05:55 Challenges with using product data 08:31 AI removing technical barriers 09:49 Culture of caring about data 11:58 Scooter app example in datawisp 13:35 Exploration of data 14:30 Correlation vs causation 15:47 Limitations of AI in creativity 19:42 Getting buy-in for change 22:19 AI data solutions 26:01 Gen AI blended with product data 29:54 Difference perspectives on UX 32:55 The more data the better 36:50 Transparency of data and insight logic 37:51 Usefulness of having technical knowledge 39:30 Final thoughts 41:12 Outro 🌐 Subscribe for free on Substack 🎧 Listen on Apple Podcasts 🎧 Listen on Spotify 🌐 Follow the host on LinkedIn 🌐 Follow the host on X
