During this interview, we had the pleasure of...
Category - Machine Learning
How to Prepare for a Fast-Changing DS/ML/AI Landscape – Trends, Challenges and Opportunities
It’s no secret that we live in an era filled with digital advancements and transformative technologies in data science, machine learning, and artificial intelligence.
Panel – How to Prepare for a Fast-Changing DS/ML/AI Landscape – Trends, Challenges and Opportunities
The panel discussion on the topic of "How to prepare for a fast-changing DS/ML/AI landscape - Trends, Challenges and Opportunities" was recorded at the NDSML Summit 2023.
Transforming Business and Finance with LLM – DIS interview with Chris Tanner at Kensho Technologies
In this interview, we'll explore Kensho's exciting projects, including their innovative Learned Language Model (LLM), and how can that transform the way business and finance professionals extract insights from financial...
Sculpting Data for Machine Learning – Interview with Jigyasa Grover & Rishabh Misra, Twitter
The interview discovers what skills and technical knowledge is needed to identify and curate meaningful and unbiased datasets.
Building Conviction and Credibility in ML-Based Solutions – Interview with Armin Catovic, EQT
The methods EQT used to build trust were beneficial in several ways for the company. In which way? Read the interview.
Would You Like to Start with MLOps? – Interview with Stefano Bosisio, Trustpilot
MLOps is getting more and more of a buzzword. In this interview read a practical example of applying the MLOps "philosophy" on a business-wide scale.
AIAW Podcast Episode 086 – Josef Lindman Hörnlund and Viktor Ă–berg
Episode Description In this episode of the weekly Artificial Intelligence After Work (AIAW Podcast), we have the pleasure to welcome Josef Lindman Hörnlund, Co-founder and Lead Machine Learning Engineer, and Viktor...
Optimizing Marketing Strategies Using A/B Testing with Machine Learning
The first part of the article focuses on A/B testing, and the second part dives into utilizing machine learning techniques.
AIAW Podcast Episode 084 – Bob Sturm and Rujing Huang
Episode Description In this episode of the weekly AI After Work (AIAW) Podcast, we have the pleasure to welcome Bob Sturm, Associate Professor at KTH Royal Institute of Technology, and Rujing Stacy Huang, Musicologist...