In this Hyperight Data Talks interview, we had the opportunity to speak with Dr. Indy Leclercq, Manager Data Science at Talabat! In our discussion, we talk about operational data science, ensuring ML models drive impact...
Category - Machine Learning
Next-Generation AI: Deeper Experiments – Interview with Sina Nek Akhtar, Tech Lead, Data Analytics and ML at Google Cloud
In this Hyperight Data Talks interview, we had the opportunity to speak with Sina Nek Akhtar, Tech Lead, Data Analytics and ML at Google Cloud!
Beyond Basics: 5 Fine-Tuning Stages for Precision in Machine Learning
In machine learning, mastering the fundamentals is just the beginning. But beyond the basics, lies fine-tuning – a process for precision and enhancing model performance.
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.
Your Next MLOps Pipeline – Dor Kedem, Standard Chartered Bank
Applying machine learning at a scale for large organizations requires considering a plethora of challenges.
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.
Opening Keynote: The Secret to AI Innovation – Cassie Kozyrkov, Google
Machine learning and artificial intelligence are no longer science fiction. But what does it take to be the kind of innovator that can harness their potential at scale?
Prediction of Impending Failure Using Machine Learning – Rajat Kumar, ST ENGINEERING
This talk includes the prediction of impending failures using historical sensor data by applying advanced techniques, like machine learning.
Unlock Financial Inclusion for Filipinos – Iñigo Benavidez & Mico Comia, GCash
A look into GCash’s journey to enable millions of unbanked Filipinos access to credit, using ML models trained on transaction and other data sources data to create the PH’s first trust score: GScore.