On this episode of the ML Platform Podcast, Olalekan Elesin shares insights on building the ML Platform at Scout24, including problems to be solved, reasons for going multi-cloud, point solutions vs. end-to-end platforms, data platforms vs. ML platforms, iterative product development approach, and more.
Timestamps:
01:24 Who is Olalekan?
04:20 Building an internal data platform
11:09 Point solutions vs. end-to-end platforms
18:13 Data platforms vs. ML platforms
27:10 Building ML platform at Scout24
37:17 Olalekan’s journey as a product manager
43:43 Iterative product development approach
47:11 Closing remarks
Resources:
Building a Machine Learning Platform [Definitive Guide]: neptune.ai/blog/ml-platform-guide?
The Long Tail: Why the Future of Business is Selling Less of More by Chris Anderson: www.amazon.com/gp/product/1401309666/
What Customers Want: Using Outcome-Driven Innovation to Create Breakthrough Products and Services by Anthony Ulwick: www.amazon.com/What-Customers-Want-Outcome-Driven-Breakthrough/dp/0071408673/
The GitLab Handbook: handbook.gitlab.com/
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Connect with Piotr on Linkedin: www.linkedin.com/in/piotrniedzwiedz
Connect with Aurimas on Linkedin: www.linkedin.com/in/aurimas-griciunas
Connect with Olalekan on Linkedin: www.linkedin.com/in/elesinolalekan
#mlplatform #ml #machinelearning
Негізгі бет Ғылым және технология Building the ML Platform at Scout24 | How to Ship Features People Actually Need
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