AI Con USA 2025 - Data Science
Sunday, June 8
Certified Data & Analytics Tester (DAU-CDAT)
Fundamentals of AI—ICAgile Certification (ICP-FAI)
Monday, June 9
Beginning Data Analysis and Machine Learning with Jupyter Notebooks
In this beginner-friendly workshop you'll see how you can get started with data analytics and data science using Jupyter Notebooks. Matt will start with the basics of notebooks and then move on to using Python, Pandas, and NumPy to perform basic exploratory data analysis. See how you can use Plotly Express to create interactive charts and visuals with only a minimal amount of code. Once you've grasped the basics of understanding and visualizing the data Matt will move on to machine learning with SciKit-Learn as you train and evaluate predictive regression and classification models. The...
Get Your Data Ready for AI/ML
Understanding the readiness of your source data before you launch an expensive AI/ML project lets you take corrective data engineering measures that will streamline the project and give you the best probability of a successful outcome. Artificial Intelligence (AI) and Machine Learning (ML) projects can provide significant returns on investment when they are applied to narrow but difficult business problems and are supported by adequate amounts of relevant, quality data. Many such projects start with high hopes but get derailed due to fundamental problems with source data, which were...
Tuesday, June 10
Image Classification using LLMs and Transfer Learning
Large language models, like Generative Pre-trained Transformers (GPTs) to create textual content in ChatBots and other Generative AI applications, have garnered much attention recently. However, not all data is textual. Another important use of LLMs is for image processing to address real-world problems such as: real-time object recognition, classification of images, and generation of modern art. Jeffery Payne will explore how large language models for images (also known as visual language models - VLMs) can be used for image classification, object detection, image capture generation, and...
Wednesday, June 11
Navigating AI Governance: Building Trust in a Regulated Future
As artificial intelligence systems increasingly influence critical decisions across industries, ensuring compliance with evolving governance and regulatory standards is both a challenge and a necessity. This presentation will explore the complexities of AI governance, focusing on balancing innovation with compliance in a rapidly changing regulatory environment. Vijay Panwar will examine real-world challenges such as bias mitigation, data privacy adherence, and ethical transparency, providing actionable strategies to design AI systems that comply with global standards like GDPR and emerging...
Thursday, June 12
Advancing Biotechnology: AI's Role in Modern Applications
This session explores the transformative impact of AI on biotechnology applications, including drug discovery, genetic sequencing, and digital pathology. It delves into the modernization of testing and verification practices, highlighting the intersection of AI and cybersecurity. Attendees will gain insights into addressing challenges associated with limited training datasets in regulated environments and strategies for developing robust applications. Practical lessons learned and actionable insights will be shared to empower participants in navigating the evolving AI landscape in...