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

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

Follow the podcast on Twitter: @proddevpodcast
Get in touch with the host, Adam Wakeling, on Twitter: @adamjwakeling and LinkedIn: @adam-wakeling