Schedule
Morning coffee and registration
Wake up and perk up with a sizzling cup of morning coffee, fueling you with energy and excitement for the day ahead.
7:00 - 08:00 AM
Main Conference Room
How AI is Revolutionizing Data Science
Artificial Intelligence has become an integral part of data science. With AI’s help, data scientists are now capable of handling massive datasets and extracting insights that would have been impossible before. According to a recent survey, over 75% of data scientists believe that AI has positively impacted their work. In this session, we’ll explore how AI is revolutionizing data science and how you can leverage its power to optimize your work.
8:20 - 08:50 AM
Main Conference Room
Overcoming Data Bias in Machine Learning
Data bias is one of the biggest challenges facing machine learning today. It can lead to inaccurate results and skewed insights. According to a recent study, over 80% of data scientists have encountered bias in their work. In this session, we’ll explore how to identify and overcome data bias in machine learning and ensure that your models are fair and accurate.
8:50 - 09:20 AM
Main Conference Room
Panel Discussion: Advanced Techniques in Data Modeling
Data modeling is an essential part of data science, and advanced techniques can lead to more accurate results. In this session, we’ll explore some of the latest techniques in data modeling, including neural networks, decision trees, and Bayesian networks. According to a recent survey, over 60% of data scientists are using these advanced techniques in their work. Join us to learn how you can leverage these techniques to improve your data modeling.
9:20 - 10:00 AM
Main Conference Room
Morning coffee and Networking Break
Enjoy a lengthy coffee break with snacks and local drinks while chatting with our exhibitors and fellow attendees in our foyer.
10:00 - 10:40 AM
Coffee Break Foyer
Dinner
It’s time to come together and savor the flavors of the conference dinner in an informal setting. This is your chance to unwind, make lasting connections AND have fun!
6:00 - 09:00 PM
Venue Bar
Morning coffee and registration
Wake up and perk up fro Day 2 with a sizzling cup of morning coffee, fueling you with energy and excitement for the day ahead.
7:00 - 08:00 AM
Main Conference Room
Reducing the dimensionality of high-dimensional data
How can we reduce the dimensionality of high-dimensional data without losing much information or structure? Dimensionality reduction is a task that aims to answer this question by using various methods and techniques to transform high-dimensional data into lower-dimensional representations that are easier to analyze and visualize. In this topic, you will learn about the key concepts and techniques of dimensionality reduction, such as principal component analysis (PCA), linear discriminant analysis (LDA), t-distributed stochastic neighbor embedding (t-SNE) and autoencoders.
8:10 - 08:30 AM
Main Conference Room
Reasoning with Data: Techniques for Accurate Analysis and Interpretation
As a data scientist, it’s important to not just collect and analyze data, but to also reason with it effectively. In this session, we’ll explore a variety of techniques for accurate analysis and interpretation of data, including methods for identifying patterns and outliers, working with incomplete data, and building models that are both predictive and interpretable.
8:40 - 09:10 AM
Main Conference Room
Panel Discussion: Maximizing the Value of AI for Your Business: Best Practices and Real-World Examples
Artificial intelligence has the potential to revolutionize the way businesses operate, but only if it’s implemented effectively. In this session, we’ll examine best practices for incorporating AI into your business processes, including strategies for developing an AI identify, managing data quality, and building scalable models. We’ll also showcase real-world examples of successful AI implementations across a variety of industries.
9:10 - 09:50 AM
Main Conference Room
Morning coffee and Networking Break
Enjoy a lengthy coffee break with snacks and local drinks while chatting with our exhibitors and fellow attendees in our foyer.
9:50 - 10:30 AM
Coffee Break Foyer