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S1 | E27 | Unleashing the power of data science to address the world’s most important challenges with Ahmet Gyger - Sr AI Product Director at Domino Data Lab
This is Episode 27 of the Thinkdata podcast in partnership with Dataworks and on today's show, I welcome Ahmet Gyger to the show.
Ahmet is the Senior Director of AI product at Domino Data Lab and has a wealth of experience in product management which has seen him work for the likes of Apple, Microsoft & Salesforce.
Ahmet leads AI product development at Domino, the Enterprise MLOps platform trusted by over 20% of the Fortune 100.
We spoke about:
- His background and what made him leave the relative comfort of "Big Tech" to join Domino.
- Who is Domino and what makes them and their platform unique
- The steps Domino Data Lab takes to ensure that its platform and technology remain current and can continue meeting the needs of the AI practitioners that use the platform
- How does Domino Data Lab address the ethical considerations and potential biases that can arise during the AI model development process
- Ahmet's thoughts on what makes a great Data product, and what considerations should companies make before looking to build out a dedicated AI product team.
- What new tools and features can we expect to be released by Domino over the next 12-18 months?
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By Dataworks Group LimitedThis is Episode 27 of the Thinkdata podcast in partnership with Dataworks and on today's show, I welcome Ahmet Gyger to the show.
Ahmet is the Senior Director of AI product at Domino Data Lab and has a wealth of experience in product management which has seen him work for the likes of Apple, Microsoft & Salesforce.
Ahmet leads AI product development at Domino, the Enterprise MLOps platform trusted by over 20% of the Fortune 100.
We spoke about:
- His background and what made him leave the relative comfort of "Big Tech" to join Domino.
- Who is Domino and what makes them and their platform unique
- The steps Domino Data Lab takes to ensure that its platform and technology remain current and can continue meeting the needs of the AI practitioners that use the platform
- How does Domino Data Lab address the ethical considerations and potential biases that can arise during the AI model development process
- Ahmet's thoughts on what makes a great Data product, and what considerations should companies make before looking to build out a dedicated AI product team.
- What new tools and features can we expect to be released by Domino over the next 12-18 months?