via Zoom
DataBytes: Real-World AI Evaluation: Overcoming the AI Assurance Bottleneck
via ZoomCurrent AI evaluation methods focus solely on the underlying technology and lack the necessary detail for real-world deployment decisions. Civitaas aims to bridge this gap and accelerate AI market readiness by evaluating the quality, safety, and utility of AI technologies in the real world. We achieve this through real-time user feedback as they interact with […]
Foundations of AI: Introduction to Deep Learning
via ZoomIn this course you’ll learn about Artificial Intelligence (AI), starting with foundational concepts in machine learning and deep learning, then moving to the basics of Natural Language Processing and Computer Vision that got us to our current boom in Generative AI as demonstrated by GPT-3, DALL-E and other well-known tools. Learn how to train your […]
2025 NCDS Fall Career Panel: Analyzing Data Science Careers
via ZoomJoin panelists working in a variety of fields, leveraging their knowledge and experience in data science to forge distinct careers in data science. The journey looks different for everyone, but a dream job is the destination. We’ll discuss a few examples of what it takes to get there. We’ll also dive into the hard and […]
Foundations of AI: Intro to Generative AI for Non-Coders
via ZoomThis four-hour workshop is designed to provide non-technical audiences an understanding of AI, its fundamental concepts, and its practical applications. The course clarifies technical jargon and reveals how everyday people rely on AI in their personal and professional lives. Attendees will receive big picture explanations of how AI works and will learn about opportunities and […]
DataBytes: The AI Security Gap: How Close Are We to Achieving Trustworthy AI?
via ZoomIn this webinar, Apostol Vassilev will examine the recently published 2025 edition of the NIST Al 100-2 report, a crucial resource for organizations seeking to ensure the security of Al systems. The talk will focus on the security of generative Al models, tailored to address the needs of Al practitioners and stakeholders in the audience. The report provides a comprehensive taxonomy of concepts and terminology in the field of adversarial machine learning (AML), organizing key Al technologies, attack life cycle stages, and attacker goals, objectives, capabilities, and knowledge into a conceptual hierarchy. By identifying current security challenges in the Al system life cycle and describing methods for mitigation and management, the report aims to establish a common language for the rapidly evolving AML landscape. This webinar will provide attendees with a deeper understanding of the development and deployment of more trustworthy and responsible Al systems.
Foundations of AI: The Basics of Natural Language Processing
via ZoomIn this workshop you’ll learn the basics of Natural Language Processing (NLP): the subfield of AI and data science dedicated to human language. You’ll also learn: How to do basic analyses with unstructured text data How to use deep learning to create NLP models from scratch and finally how How large language models (LLMs) and […]
Careers in Data Science: Rock Your LinkedIn Profile with Becky Brown
via ZoomYour presence on LinkedIn and other social channels is the first impression you make on clients and your network. Creating the right presence is the key to having people “opt-in” to conversations with you. Join this session to learn how to articulate a clear and authentic personal brand, how to define your LinkedIn strategy, and how to build a LinkedIn profile that connects with your target audience so you can make more authentic connections.
DataBytes: Supporting AI Risk Management in the Analytics Lifecycle
via ZoomThe National Institute of Standards and Technology (NIST) released an AI Risk Management Framework for trustworthy and responsible use of AI and analytics. NIST offers a portfolio of measurements, standards, and legal metrology to provide recommendations that ensure traceability, enable quality assurance, and harmonize documentary standards and regulatory practices. Their framework is very detailed with […]
2024 NCDS Spring Career Panel: Analyzing Data Science Careers
via Zoom2024 NCDS Spring Career Panel Analyzing Data Science Careers – Are you career ready? You don’t want to miss these data science professionals who provide insight into what it takes to capture the attention of top recruiters in data science and data analytics. Our panelists represent a variety of career stages (a former high school […]
DataBytes: Becoming A Data Detective – Holding AI Accountable
via ZoomBias and brittleness in artificial intelligence (Al) tools are a growing concern. Join Hilke Schellman, Emmy-award winning investigative reporter, Wall Street Journal and Guardian contributor and Journalism Professor at NYU, as she shares key takeaways from her book, The Algorithm: How Al Decides Who Gets Hired, Monitored, Promoted, and Fired and Why We Need to […]
DataBytes: AI in Target Identification and Drug Discovery: Transforming the Future of Medicine
via ZoomThe National Consortium for Data Science looks forward to hosting Kimberly Robasky, Associate Director of Machine Learning/AI at Arrakis Therapeutics, on August 22 for our next DataBytes event as she discusses AI in Target Identification and Drug Discovery: Transforming the Future of Medicine.
Data Matters 2023
via ZoomData Matters™ is a week-long series of one and two-day courses aimed at students and professionals in business, research, and government. The short course series is sponsored by the Odum Institute for Research in Social Science at UNC-Chapel Hill, the National Consortium for Data Science, and RENCI. Registration is now open for the traditional Data […]