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

The Product Development Podcast

Indhold leveret af Adam Wakeling. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Adam Wakeling eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

3M ago 42:10

MP3•Episode hjem

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

21 episoder

#Business #Adam Wakeling #Product Management