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

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Manage episode 427883880 series 3468148
Innehåll tillhandahållet av Adam Wakeling. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Adam Wakeling eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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

  continue reading

21 episoder

Artwork
iconDela
 
Manage episode 427883880 series 3468148
Innehåll tillhandahållet av Adam Wakeling. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Adam Wakeling eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

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

  continue reading

21 episoder

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