Menu
Sign In Search Podcasts Charts People & Topics Add Podcast API Pricing
Podcast Image

Design Talk (dot IE)

0190 - Data Ecosystems with Ziv Baida

03 Apr 2023

Description

We are very pleased to have Ziv Baida, business consultant, coach and educator with a long career in technology-centred innovation initiatives.First, Ziv, begin by telling us a little more about yourself and your career interests...Can you give us an overview of data ecosystems?So how can we create value with unused data?What is the impact on the traditional transactional styles of company-to-company action?Are data ecosystems just for big companies, can small firms benefit too?Is the data, the tools, and the technology available for anyone to benefit?And is there a design angle here? Where do you see design taking place? Or, what is design in the context of data?Talk about the consultancy mindset? Can it work from the inside of a company?How do you approach and manage your engagement with clients?What do I need to be data literate. Do I need to learn to program, to learn statistics?And any last comments?Well, we’ll wrap up there.Thank you for talking with us and sharing your thoughts today.AcknowledgementsMusic Title: Voltaic FluctuationsArtist: Ben PruntySource:  https://www.benpruntymusic.com/License: Non-transferable license. Permission granted by Ben PruntyCover Art Title: Complex collageArtist: Allen HigginsSource: vignette_version.pptxLicense: CC BY-NC-SA 4.0Podcast LicenseDesign Talk (dot IE) CC BY-NC-SA 4.0 The license can be viewed at https://creativecommons.org/licenses/by-nc-sa/4.0By taking part you give permission for your voice to be recorded, for the recording to be edited, and for it to be posted and published as a podcast. Hosted on Acast. See acast.com/privacy for more information.

Audio
Featured in this Episode

No persons identified in this episode.

Transcription

This episode hasn't been transcribed yet

Help us prioritize this episode for transcription by upvoting it.

0 upvotes
🗳️ Sign in to Upvote

Popular episodes get transcribed faster

Comments

There are no comments yet.

Please log in to write the first comment.