Episode description In this episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome Vilhelm von Ehrenheim, Principal Data Scientist at EQT. In the episode we talked about...
Category - Machine Learning
AIAW Podcast Episode 044 – Anders Nyman
Episode description
In this episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome Anders Nyman, Engineering Manager at Spotify and Founder of namehyresbevakning.se.
ModelOps: A buzzword or a strategic approach for operationalising ML?
Let’s explore what ModelOps means, how it differs from MLOps and if it’s emerging as an approach to manage ML models.
AIAW Podcast Episode 043 – Henrik Löf
Episode Description In this episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome Henrik Löf, Architect/Lead Developer at Karolinska University Hospital and Ex-Spotify...
Techniques Netflix uses to reduce the cloud footprint – Tejas Chopra, Netflix Inc.
Video interview with Tejas Chopra, Senior Software Engineer at Netflix Inc., talking about carbon footprint, how a combination of compression, deduplication and encryption in hybrid storage environments helps to reduce...
NLP and ML for video understanding and personalization – Georgios Damaskinos, Facebook
Video interview with Georgios Damaskinos, Machine Learning Engineer at Facebook, discussing how they use NLP and Machine Learning for video understanding and personalization at Facebook, the most valuable lessons learnt...
AIAW Podcast Episode 038 – Magnus Isenberg, Erik Dahlberg & Emil Larsson
Episode Description
In this first season three episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome the Modulai team: Magnus Isenberg, Erik Dahlberg & Emil Larsson.
Key Benefits of AutoML
AutoML can help you leverage AI within your organization. This guide reviews the top three ways AutoML can add value to your organization.
Expert PoV: How can we solve the AI skills shortage?
Being such a pervasive hurdle for realising the value of AI initiatives, we wanted to hear what the NDSML Summit speakers think about it and what they’d suggest as possible solutions for the AI talent challenge.
How Machine Learning is used for game development: Interview with John Wordsworth
To understand how ML helps build better games, we talked to John Wordsworth, Chief Architect at Paradox Interactive, about the various applications and aspects of machine learning in the game development process.