Keynote | All Levels
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.
Emergence of non-traditional data sources and data science methods to integrate them with traditional data.
Use of auto training methods to respond to 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…more details
Keynote | All Levels
Businesses are integrating large language models to build the next generation of applications. Examples include generating personalized marketing text and imagery, summarizing long-form reports, and an entirely new conversation AI experience…more details
Talk | Data Analytics | All Levels
Key Learning Outcomes:
– Understand the importance of simple descriptive analytics in driving value for large organizations.
– Use storytelling to bring complex concepts to life for the vast majority of team members who don’t have an advanced understanding of statistics.
– How generative AI can enable more people within an organization to self-serve for simple analytics requests.
– Learn from success stories of implementing self-service data analytics within large organizations that StoryIQ has partnered with…more details
Talk | Machine Learning | Beginner – Intermediate
In this talk, we discuss the problem space and the approach we took to solving it with Metaflow, the open-source framework we developed at Netflix, which now powers hundreds of business-critical ML projects at Netflix and other companies from bioinformatics and drones to real estate…more details
Talk | NLP and LLMs | Intermediate-Advanced
In my presentation, I will delve into the intriguing domain of Generative AI for Industries, where I’ll shed light on the practical applications of LLMs for Biomedical Insights – OpenBIOML and BIO GPT. Navigating the intricate balance between scale and safety, I will emphasize the potential of these potent tools in the context of biomedical research. Analyzing their capabilities and challenges, I aim to demystify their real-world utility and offer a clear understanding of the inherent trade-offs…more details
Talk | Responsible AI | Beginner-Intermediate
In this presentation, we consider a number of remedies to these challenges, based on Bayesian statistical models. These include robust, privacy-preserving spatial models, probabilistic insights and novel visualisations. We discuss these in the context of the Australian Cancer Atlas, the first interactive digital atlas of small-area estimates of incidence and survival for around 20 cancers. The first release of the ACA focused on geographic inequity. The current update is focusing on spatio-temporal extensions with increased decision support. We will also touch on extensions that will support our work, including federated learning for hierarchical spatial models…more details
Track Keynote | Generative AI | NLP and LLMs | All Levels
This talk goes beyond algorithms, immersing participants in thought-provoking discussions on algorithmic literacy, transparency, and bias mitigation, providing the tools to wield influence like never before. The talk will provide action steps to consider as each of us move toward becoming ethical innovators, catalysts for positive change, and guardians of GENAI’s future. Attendees are invited to harness GENAI’s power for the greater good, realizing their potential as architects of an ethical tomorrow…more details
Talk | Deep Learning | Machine Learning | Beginner – Intermediate
On-device machine learning models refer to models that are trained and deployed directly on a mobile device or an edge device, rather than in the cloud. This approach enables the device to perform complex tasks, such as image recognition or natural language processing in real-time with great accuracy and consistently producing comparable results. For example, a beauty filter from your favourite video app that can apply specific to each user’ facial features is actually a facial recognition model that runs on your mobile phone. By running machine learning algorithms on-device, users can avoid uploading sensitive data to the cloud, have more autonomy over their personal information, and benefit from real-time decision-making process, all of which are topics that are becoming more and more important with fast advancement of AI. In conclusion, on-device machine learning models have gained attention in recent years due to the increasing computing power of mobile and edge devices, as well as the growing demand for privacy-preserving AI applications…more details
Virtual | Demo Talk | All Sessions
Experienced machine learning engineers and data scientists care about ways to easily get their models up and running quickly and share ML assets across teams for collaboration. Collaborate and streamline the management of thousands of models across teams with new, innovative features in Azure Machine Learning. Come and join us in this interactive session with our product experts and get your questions answered on the latest capabilities in Azure Machine Learning!
Talk | Responsible AI | All Tracks | All Levels
Enabling responsible development of artificial intelligent technologies is one of the major challenges we face as the field moves from research to practice. Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine learning in many current and future real-world applications. Now there are calls from across the industry (academia, government, and industry leaders) for technology creators to ensure that AI is used only in ways that benefit people and “to engineer responsibility into the very fabric of the technology.” Overcoming these challenges and enabling responsible development is essential to ensure a future where AI and machine learning can be widely used. In this talk we will discuss Responsible AI tools best practices you could apply in your machine learning lifecycle and share state-of-the-art open source tools you can incorporate to implement Responsible AI in practice…more details
Talk | MLOps | All Levels
Critical success factor for enterprise level AI adoption and sponsorship is the ability to rapidly deploy AI technologies, solve use cases quickly, and deliver iterative business value to stakeholders. In this session, we will discuss the challenges of AI adoption, share some pragmatic approaches that enterprises can adopt to accelerate their AI / ML initiatives and deliver quick and iterative business value. Examples of some approaches would include leveraging pre-integrated AI frameworks and automation techniques such as AutoML, along with ready-to-use industry-specific AI solutions. The faster and more incremental the delivery of business value through AI, the higher the likelihood of successful adoption and implementation of AI within enterprises…more details
Demo Talk | Generative AI | Data Analytics | Responsible AI | Machine Learning
We’ve reached an inflexion point in both the AI industry and society, and the APAC region is at the epicentre of this change. To ensure you’re at the forefront of this change, ODSC APAC is gathering leading experts from across the globe to share their knowledge through 100+ hours of hands-on training sessions, workshops, talks and more.
Join us for a deep dive into the latest data science and AI trends, tools and techniques: from LLMs to data analytics and from machine learning to responsible AI.
Talk | NLP and LLMs | Responsible AI and Social Good
In this session, Jason will delve into the world of building Generative AI applications and the invaluable lessons learned along the way. Join Jason for a captivating session that unveils the framework behind crafting cutting-edge Generative AI solutions and the key takeaways that pave the path to success…more details
Talk | MLOps | Data Engineering | Beginner
This presentation provides a detailed exploration into the strategic implementation of Data Science in enhancing customer satisfaction and driving business growth. We will share our progress in creating an advanced AI Command Centre, elucidating the underlying MLOps infrastructure and revealing our architecture diagram for comprehensive understanding. Emphasizing on the integration of AI and machine learning models, we will discuss methodologies for monitoring, validating, and versioning to ensure optimized and consistent performance. The talk will highlight our robust training initiatives aimed at building AI proficiency within our workforce, alongside the necessary change management strategies to effectively navigate this digital transformation. Finally, the session will delve into our ongoing journey of ensuring AI operationalization and transparency, thereby fostering a culture of data-driven decision making. Join us as we unpack the intricate technical facets of our AI-centric strategy…more details
Demo Talk | All Levels
In today’s cloud-native era, effectively harnessing the potential of spatial data science at scale remains a significant challenge. While leading data warehouses provide some level of spatial data support, they often lack the advanced analytical capabilities necessary for various geospatial use cases. This talk aims to address this gap by providing an overview of best practices for analyzing and modeling spatial data, with a specific focus on scalable and low-code solutions within the CARTO cloud-native environment…more details
Talk | All Levels
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…more details
Talk | LLM | Beginner
The talk further delves into the practical implementations of Generative AI in education. From generating customized learning materials tailored to individual student’s strengths and weaknesses, to creating immersive virtual environments that foster experiential learning, the potential for enriching education is boundless. Moreover, Generative AI serves as an invaluable assistant to educators, automating administrative tasks and offering real-time feedback to optimize teaching strategies…more details
Talk | Deep Learning | NLP and LLMs | Beginner – Intermediate
In summary, this session will comprehensively cover current challenges and solutions across various dimensions for adoption of LLMs at 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…more details
Talk | NLP and LLMs | Beginner
Statements such as “”Large Language Models (LLMs) are a type of generative Artificial Intelligence (AI) that is specifically focused on generating natural language text.”” and “”Current large language models (LLMs) like ChatGPT …” have become commonplace. Such statements conflate LLMs with generative models. However, strictly speaking this is not correct, because not all LLMs are generative. In this talk, I will explain what a LLM is, the range of architectures that can be used, and when an LLM is in fact a generative model. At the end of this session, you will have a more precise understanding of different types of language models, what’s going on “”under the hood”” of these models, and the kinds of natural language processing problems that each type is designed for…more details
Talk | Deep Learning | Machine Learning
In this session, we illustrate the role of machine learning, and particularly a sub-field called reinforcement learning in online advertising…more details
Talk | LLMS | Intermediate
Generative AI has revolutionized various domains, including art, music, and storytelling. In this beginner-friendly session, we will embark on a journey through the Generative AI landscape, understanding its fundamental concepts, techniques, and applications. We will explore popular generative models, such as Generative Adversarial Networks (GANs), LLMs, etc. and their role in generating realistic and creative outputs. Participants will have the opportunity to dive into hands-on activities, where they will train and deploy a generative model to generate unique pieces of art and text. By the end of this session, beginners will have a solid grasp of Generative AI, empowering them to explore its endless possibilities…more details
Talk | Machine Learning | Responsible Ai | All Levels
In this talk I will be diving deep into the simultaneous presence of trust and distrust in the AI driven decisions by employees and management alike, the human distrust and fear of being managed by a machine rather than an empathetic human-manager when it comes to deployment of algorithmic management of workforces. I will list out the specific technical challenges which are blocking the wide spread use of AI in HR functions and why the pace of adoption is slower than some of the other fields such as finance and healthcare…more details
Workshop | Generative AI | NLP and LLMs | Intermediate
In this workshop, the speakers will explore what typically goes wrong with the search and retrieval use case — from bad responses to the knowledge base missing areas of user interest and lack of relevance of retrieved documents, not enough similar documents and irrelevant retrieved context — and dive into a code-along exercise using open source tools to run LLM-assisted evaluations and compute ranking metrics…more details
Tutorial | Machine Learning | Big Data Analytics | Beginner – Intermediate
Join us for an immersive session focused on optimizing PySpark and harnessing the power of machine learning using Spark MLlib. In this hands-on session, we will cover a wide range of topics, from understanding the project overview and core machine learning concepts to diving into the implementation of various classification algorithms.…more details
Workshop | Machine Learning | Natural Language Processing | Big Data Analytics | Intermediate – Advanced
The 100% practical exposure to execute machine learning techniques for solving business problems with PySpark will be beneficial to the role of business analyst. The session will start from the basics of PySpark and then discuss various unsupervised and supervised machine learning techniques for different use cases. A practical demonstration of advanced techniques on different types of data from an instructor who possess both real-world experience and theoretical knowledge will be extremely enjoyable and with great learning…more details
Tutorial | Deep Learning | LLMs | Intermediate-Advanced
The participants of this session would get introduced to one of the most successful deep learning architectures called transformer models, it’s working mechanism, and about the various applications of transformer models. This session would then introduce the concepts of document understanding, the importance of implementing AI based solutions for document understanding and would educate the learners about various techniques used for document understanding in order to make them understand how transformer models have transformed the task of document understanding in terms of both speed and accuracy…more details
Workshop | NLP | Deep Learning | Advanced
We will compare and contrast transformers like BERT and LLMs like ChatGPT. Finally we will also showcase with hands-on tutorials how to solve popular tasks using NLP including NER, Classification, Search / Information Retrieval, Summarization, Classification, Language Translation, Q&A systems using models like BERT and ChatGPT and popular libraries like HuggingFace, OpenAI and the Python programming language…more details
Workshop | Machine Learning | Intermediate
One of the key questions in modern data science and machine learning, for businesses and practitioners alike, is how do you move machine learning projects from prototype and experiment to production as a repeatable process. In this workshop, we present an introduction to the landscape of production-grade tools, techniques, and workflows that bridge the gap between laptop data science and production ML workflows…more details
Tutorial
In this tutorial, we will do a hands down walk through of techniques and concepts that will help in effectively using LLMs for our respective real world use cases with acceptable precision levels. We will be picking use case from Healthcare domain to illustrate the concept, we will specifically choose precision ICD-10 code detection using LLMs…more details
Data is the essential building block of Data Science, Machine Learning, and AI. This course is the first in the series and is designed to teach you the foundational skills and knowledge required to understand, work with, and analyze data. It covers topics such as data collection, organization, profiling, and transformation as well as basic analysis. This course is aimed at helping people begin their AI journey and gain valuable insights that we will build up in subsequent SQL, programming, and AI courses.
The Python language is one of the most popular programming languages in data science and machine learning as it offers a number of powerful and accessible libraries and frameworks specifically designed for these fields. This programming course is designed to give participants a quick introduction to the basics of coding using the Python language.
It covers topics such as data structures, control structures, functions, modules, and file handling. This course aims to provide a basic foundation in Python and help participants develop the skills needed to progress in the field of data science and machine learning.
This AI literacy course is designed to introduce participants to the basics of artificial intelligence (AI) and machine learning. We will first explore the various types of AI and then progress to understand fundamental concepts such as algorithms, features, and models. We will study the machine learning workflow and how it is used to design, build, and deploy models that can learn from data to make predictions. This will cover model training and types of machine learning including supervised, and unsupervised learning, as well as some of the most common models such as regression and k-means clustering.
This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI. The course covers topics such as database design and normalization, data wrangling, aggregate functions, subqueries, and join operations, and students will learn how to design and write SQL code to solve real-world problems. Upon completion, students will have a strong foundation in SQL and be able to use it effectively to extract insights from data.
The ability to effectively access, retrieve, and manipulate data using SQL is essential for data cleaning, pre-processing, and exploration, which are crucial steps in any data science or machine learning project. Additionally, SQL is widely used in industry, making it a valuable skill for professionals in the field. This course builds upon the earlier data course in the series.
Welcome to the Introduction to NLP Course! In this course, you will learn the fundamentals of Natural Language Processing. From tokenization and stop word removal to advanced topics like deep learning and large language models, you will explore techniques for text preprocessing, word embeddings, classic machine learning, and cutting-edge NLP methods. Get ready to dive into the exciting world of NLP and its applications!
