We couldn’t be more excited to announce that the Preliminary Schedule for ODSC APAC 2023 is now live. Take a deep dive into the expert speakers who will be joining us from around the world and the topics that they will be discussing here. In the meantime, grab a quick sneak peek below.
ODSC Keynote – Navigating the Post Pandemic Credit Risk Landscape with AI/ ML Innovation
Radhakrishnan G (Krish) | Vice President – Global Commercial Risk Decision Science | American Express
Explore how the credit risk landscape evolved during the pandemic and discover the transformative power of AI/ML solutions in navigating uncertainty. In the talk, we will cover the following:
- Changes in credit risk trends through the pandemic and the challenges it posed in risk models.
- Learn above 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.
- Use of auto-training methods to respond to a quick buildup of events.
- Join me in learning about cutting-edge approaches that enabled businesses to assess and mitigate credit risk more effectively, enhancing resilience in these challenging times.
ODSC Keynote – Infuse Generative AI in your apps using Azure OpenAI Service
Eve Psalti | Principal Group Program Manager | Microsoft
Join this session to learn how Azure OpenAI Service can help your business integrate large language models to help create innovative applications. Azure OpenAi Service enables you to use AI models like Dall-E 2, GPT-3.5, Codex and ChatGPT for your applications while bringing unique levels of efficiencies, mitigating risk and more.
Leveraging Recommender Systems for Maximizing Customer Engagement at Amex
Sonal Agarwal | Vice President – Consumer Customer Marketing and Personalization decision science | American Express
American Express’ data assets power the world’s best customer experience every day. Knowing the customer and communicating the right message at the right time has driven American Express to become one of the most innovative customer service brands today. Our Personalization ecosystem leverages advanced ML algorithms that are continuously being trained to provide intelligent recommendations, adapting to our customer’s evolving needs and preferences, and presenting recommendations that align with their brand affinities and interests while respecting our customer’s privacy choices and communications preferences. We use industry’s best recommender systems and advanced data science leveraging techniques like boosting, NLP, and reinforcement learning to make our personalization experience most relevant for our customers every day.
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.
AI Applications in Fintech, Retail, Ecommerce, Supply Chain, Ads, Power Systems
Rudrendu Kumar Paul | Data Science Leader | Walmart Connect
Delve into the transformative impact of AI across a wide range of fields, including fintech, retail, ecommerce, supply chain, advertising, and power systems. Topics addressed will include risk assessment, fraud detection, and personal financial advice, inventory management, customer behavior analysis, predictive analytics and automation data analysis, predictive maintenance, and demand forecasting.
State of AI in Human Resource Functions: Unique Opportunities and Challenges
Seema Chokshi | Adjunct Faculty | Singapore Management University
This session will explore the role of AI in Human Resource Management. It will cover both the potential benefits and the challenges of ensuring fairness, with a focus on the perceptions of fairness, accountability, and trust in AI-driven decisions in the area and some ways in which these can be mitigated.
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 will comprehensively cover 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.
Transformers for Document Understanding
Vaishali Balaji | Lead Data Scientist | Indium Software
In this session, you will be introduced to transformer models, as well as the concept of document understanding, the importance of AI-based solutions for document understanding, and the various techniques used for document understanding.
LLMs and Ontologies for Precision NERC (Named Entity Recognition & Classification)
Kuldeep Jiwani | Head of Data Science | HiLabs
This tutorial will explore the techniques and concepts that will enable you to effectively use LLMs for real-world use cases with acceptable precision levels. To illustrate this concept, this session will utilize use cases from the Healthcare domain, specifically precision ICD-10 code detection using LLMs.
Sign me up
Don’t miss the chance to learn from some of the best and brightest minds in data science and AI and explore cutting-edge applications for generative AI and LLMs. ODSC APAC is just a few weeks away this August 22-23, so be sure to register soon–free and paid passes are available.