Pediatric Moonshot: Global, real-time, privacy-preserving applications for children’s medicine

Artificial Intelligence applications hold the key to reducing healthcare inequity locally and globally. While centralized architectures have been key to advances in consumer AI, they

Unlock the Power of Embeddings with Vector Search

The total amount of digital data generated worldwide is increasing at a rapid rate. Simultaneously, approximately 80% (and growing) of this newly generated data is

Large Language Models for Real-World Applications

Machine language understanding and generation has been undergoing rapid improvements due to recent breakthroughs in machine learning (e.g. large language models like GPT and BERT).

Delighting South Asian Fashion Customers: Using AI for Personalization, Product Design and Tagging

In this talk, Arif Iqbal, the CEO of LAAM, will discuss how his company is utilizing AI to enhance the fashion consumer experience for millions of users

Deep Learning with KNIME: Building Keras Applications

Typically, when we think of deep learning applications we think of complex coding in languages like Python where packages such as Tensorflow and Keras can

Distributed System Design for Data Engineering

This talk will provide an overview of distributed system design principles and their applications in data engineering. We will discuss the challenges and considerations that

Building and Deploying a Semantic Search Engine on Hugging Face

Unlock the power of semantic search with this hands-on tutorial. Learn how to build a semantic search engine from scratch and deploy it as an

Building Enterprise-Grade Q&A Chatbots with Azure OpenAI’s Advanced Capabilities

As businesses increasingly turn to chatbots to automate customer support services, Azure OpenAI emerges as a highly advanced and customizable platform that provides robust natural

Reproducible Data Science Workflows Using Docker

Want to eliminate the hassle of inconsistent programming environments and achieve reproducible data science? Attend our presentation on how Docker can help you achieve that

Introduction to Python for Data Science

This lecture introduces the tools and libraries used in Python for data science and engineering. It covers basic concepts such as data processing, feature engineering,

Getting Started with SQL Programming

When learning data science, students typically focus on SQL, Python or R for data analysis and machine learning. On the job though, data is usually

Navigating the MLOps Landscape

Join our expert panel for a lively discussion on MLOps. Get insights into the challenges and opportunities of operationalizing machine learning as our industry leaders

Generative AI Ethical Concerns, Trends, and Societal Impact

The panel discussion at the conference will be an in-depth exploration of the topic of Generative AI, delving into the latest advancements and trends in

AMA: Begin a Career in Data Science

This AMA session will provide an overview of a career in data science, with a focus on how to get the first job or start

Data Storytelling in Action

Data storytelling is important in analytics because it allows analysts to communicate insights and findings from data to a wide range of audiences in a

Vector Similarity Search

Let’s face it, the challenge of search today is indexing billions of entries while delivering relevant results quickly. Traditional keyword-based methods have limitations, leaving us