Session Outline In this presentation, I will be sharing my individual contributor perspective of extracting value from AI, after working as a MLOps Engineer in Financial and Biotech industry. Key Takeaways – Where...
Category - Nordic Data Science and Machine Learning Summit 2022
Computer Vision at Shell – Siva Chamarti, Chaitanya Katukuri & Natarajan Kalidos, Shell
Session Outline This presentation presents some of the challenges in developing Computer vision use cases deploying them on Edge and Cloud. How we, at Shell, accelerated development of computer vision projects by...
Utilizing Advanced Marketing Analytics for Sales Optimization – Peter Vester, Novo Nordisk
Session Outline This session will introduce and summarize a project utilizing advanced analytical models to investigate the impact of marketing efforts to make the marketing strategies more data driven. The insights...
Journey from manual towards automated car damage assessment – Vladimir Tripkovic, Topdanmark
Session Outline We would like to share our experiences, thoughts, and results on partial automation of car damage reports. The presentation will describe our journey in the past, present and the future regarding...
Full life cycle of NLP models to get insights from the employee feedbacks continuously – Busra Cikla, ING
Session Outline Natural Language Processing (NLP), an ever-growing interest area in the analytics community, creates big impacts on several domains including the HR domain. It enables transformation of unstructured data...
Our model stopped working! Now what? A credit card fraud multi-persona MLOPs story – Iulia Feroli, Dataiku
Session Outline There are many approaches and strategies for MLOPs in data science departments, each with their own focus, benefits, or pain points. From standardizing practices and way of work, to automating the boring...
How Rovio Personalizes Angry Birds Games Using Reinforcement Learning – Ignacio Amaya de la Peña, Rovio
Session Outline Rovio’s game teams leverage Beacon, our internal cloud services platform which among other things, enables them to leverage data to improve their games. Machine Learning is part of Beacon’s offering...
How Graph Data Science can turbocharge your Knowledge Graph – Kristof Neys, Neo4j
Session Outline Knowledge Graphs are becoming mission-critical across many industries. More recently, we are witnessing the application of Graph Data Science to Knowledge Graphs, offering powerful outcomes. But how do...