Tuesday, February 11, 2025
10:00-10:45am
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
GenAI is riding an unprecedented hype wave, fueled by massive investment, rapid technology advancement, and a surge of innovative applications. However, this excitement is increasingly becoming intertwined with a parallel wave of legal challenges, from copyright infringement claims to concerns about bias and misinformation to intellectual property misuse, among others. The question that remains is how will these legal outcomes impact AI regulation and, by extension, existing applications and models and the current GenAI market trajectory? What is the potential for legal and regulatory risk to derail the early GenAI adoption cycle, create a modern version of the dot com bubble of the 90s where thousands of companies crashed and burned and, if that happens, what will a potential new GenAI hype cycle and landscape look like when the smoke clears? And, in the mean time, how should companies already invested in GenAI proceed in order to limit their risk exposure?
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11:00-11:45am
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
Delve into the technical aspects of different Generative AI models, how they work, their capabilities and benefits (and drawbacks), use cases, and more. Learn how to select the right AI model for your specific needs and evaluate its performance.
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12:00-12:30pm
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
A presentation about recent advancements in AI developed for gene sequencing/analysis, predictive analysis, diagnosis and treatment plan development for cancer patients with a specific focus on Melanoma. Additional conversation will revolve around social considerations of AI and the hope that, via artificial intelligence and the elimination of human error, processes and activities will become more efficient, beneficial, and advantageous for humanity. But is this the case? Will the tide of AI raise all boats? How does human bias influence the systems and structures of AI models, such as large language models, ethics, selective data, and models emerging from non-diverse institutions? This session will present an engaging, interactive discussion about bias in the world of generative AI from a few perspectives, including:
- The back end (coders, developers, owners, technologists, industry perspectives)
- How technology generates vastly disparate consequences for different communities, and
- Best practices
The session will also consider how different communities feel about AI tools such as, facial recognition, surveillance, identity data and predictive modeling, what historical events or circumstances should cause people to be cautious or concerned, where does rational concern turn into paranoia and conspiracy theory, and, ultimately, what does the future look like for AI in cancer research and other areas?
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1:30-1:55pm
Tuesday - 2/11/25
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2:00-2:45pm
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
SqPal: A Case Study in Developing a GenAI-based text-to-SQL Tool for Production Environments
GAI-14 This session will discuss PayPal’s experiences in the context of the lifecycle of building a GenAI tool within a product analytics organization. From ideation to final implementation and maintenance, the session will highlight key challenges during development, keeping sight of scalability, adaptability, and data lifecycle management objectives. From brainstorming sessions to evaluating time to market, business impact, and model maturity needs, attendess will be taken on an end-to-end GenAI application journey with insights that will better prepare them for building their own GenAI applications.
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3:00-3:45pm
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
In this session, we’ll discuss the evolution of GenAI and the risks it poses, along with and an introduction to prompt hacking (including several real-world examples). We’ll explore different Prompt Injection Attack scenarios, as well as ways to mitigate those threats.
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4:00-4:45pm
Tuesday - 2/11/25
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Generative AI - Track II (Grand D)
Discover techniques for adapting pre-trained generative AI models to specific tasks and domains, enhancing their performance and relevance. Learn how to fine-tune models to generate more accurate and relevant outputs. Explore the benefits of transfer learning and how it can accelerate AI development and reduce costs.
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Wednesday, February 12, 2025
9:00-9:45am
Wednesday - 2/12/25
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Generative AI - Track II (Grand D)
Explore the role of generative AI as a copilot in various enterprise functions, from customer service to knowledge management. Discover how AI can augment human capabilities, improve efficiency, and drive innovation. Learn how to integrate AI into your workflows and leverage its potential to enhance your business operations.
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10:00-10:45am
Wednesday - 2/12/25
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Generative AI - Track II (Grand D)
As businesses across the globe seek to gain competitive advantages and optimize operational efficiencies, Agentic AI emerges as a pivotal technology, offering unprecedented opportunities for automation and decision-making. Consideration the next wave in Generative AI, Agentic AI has the potential to create higher levels of impact in business operations. This session will begin with an introduction to Agentic AI, discuss popular enterprise use cases for Agentic AI, and lay out the challenges in adopting Agentic AI and best practices to overcome these challenges.
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11:00-11:45am
Wednesday - 2/12/25
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Generative AI - Track II (Grand D)
Security Concerns and Considerations While Developing a Responsible GenAI Application
GAI-21 The rapid proliferation of generative AI technologies has introduced significant security and privacy challenges that must be proactively addressed to ensure responsible deployment. This session presents a comprehensive framework for integrating "Secure by Design" principles into the development of enterprise-scale generative AI applications. Through a threat analysis of a representative Retrieval-Augmented Generation (RAG) deployment, we will first look at potential vulnerabilities aligned with key threat model frameworks. We will then walk you through a multi-faceted mitigation strategy, encompassing secure model fine-tuning, end-to-end data encryption, robust access controls, and comprehensive monitoring and auditing. This session would provide a practical roadmap for software architects, security professionals, and AI researchers to build robust, trustworthy, and privacy-preserving intelligent applications, empowering organizations to unlock the transformative potential of generative AI while safeguarding sensitive information.
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12:00-12:45pm
Wednesday - 2/12/25
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Generative AI - Track II (Grand D)
VP, Business & Consumer Experience Applications and IT Operations
Memorial Healthcare System
Discuss the ethical considerations surrounding generative AI, including bias, privacy, and transparency. Learn how to develop responsible AI practices that align with your organization's values and comply with ethical guidelines. Explore strategies for mitigating the risks associated with AI and ensuring that AI is used as it is intended.
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Thursday, February 13, 2025
12:00-12:45pm
Thursday - 2/13/25
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Generative AI - Track II (Grand B)
Understand the data privacy and security risks associated with generative AI and explore best practices for protecting sensitive data. Learn how to comply with data privacy regulations, mitigate data breaches, and ensure the ethical use of AI. Discover strategies for building trust with customers and maintaining data integrity in the age of AI.
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1:00-1:45pm
Thursday - 2/13/25
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Generative AI - Track II (Grand B)
Discuss current limitations of GenAI, and how potential future advancements, including breakthroughs in AI models, computer vision, and reinforcement learning, and more, will overcome them. Explore how new innovations may impact GenAI and further revolutionize industries and create new possibilities for businesses. Understand the implications of these advancements for your organization and develop strategies to prepare for the future of AI.
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