Using AI to uncover product data insights | Mo Hallaba, CEO of Datawisp

Products of Music

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

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Mo and Datawisp's contact info:
• Twitter/X: https://www.x.com/electronicmo
• Website: https://www.datawisp.io
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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

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