Last week, thousands of data scientists gathered from around the world to learn, grow, and connect at ODSC APAC Virtual. Now that the conference has concluded, we’re excited to share with you some of the top sessions, now available on demand. Check them out below.
Leveraging Recommender Systems for Maximizing Customer Engagement at Amex
Sonal Agarwal | Vice President – Consumer Customer Marketing and Personalization, decision science | American Express
This session covers Amex’s Personalization ecosystem, which leverages advanced ML algorithms that are continuously being trained to provide intelligent recommendations, adapting to their customer’s evolving needs and preferences, and presenting recommendations that align with their brand affinities and interests while respecting our customers’ privacy choices and communications preferences.
Exploring the Generative AI Landscape: From Basics to Hands-on Applications
Raghav Bali | Staff Data Scientist | Delivery Hero (Berlin)
Explore the Generative AI landscape, with a focus on its fundamental concepts, techniques, and applications. You’ll cover topics like GANs, and LLMs and get hands-on practice deploying generative models to create pieces of art and text.
Navigating the Post-Pandemic Credit Risk Landscape with AI/ML Innovation
Radhakrishnan G (Krish) | Vice President – Global Commercial Risk Decision Science | American Express
This session explored how the credit risk landscape evolved during the pandemic and the transformative power of AI/ML solutions in navigating uncertainty.
Topics covered included:
- Changes in credit risk trends through the pandemic and the challenges it posed in risk models.
- New modeling approaches that can learn better and faster from recent risk trends while preserving key risk fundamentals established in pre-covid periods.
- The emergence of non-traditional data sources and data science methods to integrate them with traditional data.
- The use of auto-training methods to respond to a quick buildup of events.
ML on-device: Building Efficient Models
Danni Li | AI Resident | Meta
This talk covered some of the challenges that on-device machine learning models face, like limited computational resources and limited storage and battery life, as well as the latest advancements, especially the end-to-end(E2E) ASR systems.
Evolving Trends in Prompt Engineering for Large Language Models (LLMs) with Built-in Responsible AI Practices
Jayachandran Ramachandran | SVP & Head of AI Labs | Course5 Intelligence Ltd
This session comprehensively covers current challenges and solutions across various dimensions for the adoption of LLMs at the enterprise scale. It will also provide researchers, practitioners, and policymakers with valuable insights for adopting and deploying LLMs effectively and responsibly. Unlocking the vast potential of LLMs in NLP will trigger innovative ideas and is expected to disrupt and radically transform the technology and business landscape in the coming days.
Watch ODSC APAC here
You can watch these, and many more, on-demand on our Ai+ Training Platform. For more hands-on, expert-led instruction on generative AI, LLMs, machine learning, NLP, data engineering, and much more, join us at ODSC West this fall!