Conference Schedule

Sunday, June 8

Registration—7:30am–5:00pm
7:30 am to 5:00 pm
Breakfast—7:30am–8:30am
7:30 am to 8:30 am
Multi-day Training Classes Begin—8:30am–5:00pm
8:30 am to 5:00 pm
AI for Leaders
8:30 am to 5:00 am

This workshop equips leaders with the knowledge and skills to navigate the complexities of AI, build AI-driven strategies, and cultivate an AI-centric culture.

Fundamentals of AI—ICAgile Certification (ICP-FAI)
Jeff Pierce
8:30 am to 5:00 pm

Unravel the complexities of machine learning and AI. Attendees will be awarded the ICAgile Professional- Foundations of AI (ICP-FAI) designation. 

GitHub Copilot Certification Bootcamp
Phil LaFrance
8:30 am to 5:00 pm

This hands-on course helps software developers understand how to effectively incorporate Copilot into their software developer workflow.

DevOps for AI and Machine Learning
Tom Stiehm
8:30 am to 5:00 pm

Learn how to apply DevOps knowledge to the machine learning and AI development, test, delivery, and operations process.

Certified Data & Analytics Tester (DAU-CDAT)
8:30 am to 5:00 pm

Designed for test engineers, test coordinators, managers, business analysts, data leads, data warehouse developers and BI consultants, this dynamic and interactive class is designed to help students learn the practical skills necessary to effectively work with (big) data.

AI for Testers
Jonathan Miller Kauffman
8:30 am to 5:00 pm

This hands-on course helps testers understand how to leverage AI to improve software test planning, execution, automation, and reporting.

Lunch—12:00pm–1:00pm
12:00 pm to 1:00 pm
Training Classes Continue—1:00pm–5:00pm
1:00 pm to 5:00 pm

Monday, June 9

Registration—7:00am–5:00pm
7:00 am to 5:00 pm
Breakfast—7:30am–8:30am
7:30 am to 8:30 am
Full & Half-Day Tutorials—8:30am–12:00pm
8:30 am to 12:00 pm
Multi-day Training Classes Continue—8:30am–5:00pm
8:30 am to 5:00 pm
Tutorial MA Getting Started with AI and Machine Learning
Dionny Santiago
8:30 am to 12:00 pm

Are you a software professional who would like to learn to use AI and machine learning (ML), but don't know how to get started? One of the best ways to get into ML is by designing and completing small projects. Although you will ultimately need to understand the fundamentals of AI/ML, there's no reason why you can't learn foundational terms, concepts and principles as you put them into practice. Join Dionny Santiago as he introduces you to the world of applied machine learning. Dionny will guide you through a series of ML projects end-to-end, enabling you to gain experience with creating...Read more

Tutorial MB Beginning Data Analysis and Machine Learning with Jupyter Notebooks
Matt Eland
8:30 am to 12:00 pm

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...Read more

Tutorial MC Get Your Data Ready for AI/ML
Joshua Powers
8:30 am to 12:00 pm

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...Read more

Tutorial MD Supercharging Software Development with AI: A Deep Dive into Amazon CodeWhisperer & Amazon Q NEW
Tim Collinson
8:30 am to 12:00 pm

This workshop explores how Amazon CodeWhisperer and Amazon Q can enhance software development and business operations through AI-driven automation, covering everything from AI-assisted coding and testing to code and data migration. It starts with CodeWhisperer, showcasing how AI can automate repetitive tasks, suggest optimized code, and improve development efficiency. Then, it dives into Amazon Q, demonstrating its capabilities in code modernization, testing, and greenfield development. Participants will engage in hands-on exercises to migrate existing applications, leverage AI for testing...Read more

Lunch—12:00pm–1:00pm
12:00 pm to 1:00 pm
Full & Half-Day Tutorials Continue—1:00pm–4:30pm
1:00 pm to 4:30 pm
Tutorial ME Leveraging Generative AI for Software Productivity
Tariq King
1:00 pm to 4:30 pm

Executive leaders across the globe have been asking a relatively simple yet profound question: Can we leverage generative AI to transform our business, enterprise, or industry? For software-based companies, focus has either been on differentiating their product and service offerings using this new technology. But how about leveraging generative AI to improve team productivity and efficiency? This may be possible but how do you measure its success? What are some of the key use cases within business analysis, development, and testing that software teams can use? Are there any pitfalls that...Read more

Tutorial MF Become an AI Power User NEW
Dona Sarkar, Jeremiah Marble
1:00 pm to 4:30 pm

Impostering a bit in the AI-verse? Overwhelmed by daily AI announcements? Unsure you're using AI most effectively? Tiny bit of FOMO? We've got you covered! In this workshop, we'll help you become an AI Power User. Become a boss at your job, whatever your role or industry! We'll show you where AI shines and where you'll want to be careful, plus toss you lots of hands-on practice. In our time together, we'll help you pinpoint YOUR niche, build a custom AI assistant, and develop a comms strategy to show off your new skills. You'll walk out with cutting-edge knowledge, a prompt library of your...Read more

Tutorial MG Introduction to RAG Applications: Building Conversational AI for Domain-specific Search NEW
Justin Castilla
1:00 pm to 4:30 pm

This beginner-friendly workshop introduces participants to the fundamentals of Retrieval-Augmented Generation (RAG) applications. Using a pre-configured Docker environment featuring Python, Elasticsearch for vector storage, and OpenAI as the LLM, attendees will learn how to build a RAG-powered conversational portal. Throughout the session, participants will create a RAG application to consume and query a sample dataset of Washington State regulation documents. Replace these sample documents with your own PDF files, and you’ll interact with your data in no time! By the end, attendees will...Read more

Tutorial MH AI Code Generation Lifecycle NEW
Joshua Powers
1:00 pm to 4:30 pm

This workshop explores the transformative potential of generative AI across the software development lifecycle, providing practitioners with hands-on insights into leveraging AI technologies for enhanced productivity. Participants will learn strategic approaches to translating requirements into code using large language models, demonstrating techniques for generating contextually accurate implementations with minimal manual intervention. The session will showcase a case study of an AI-assisted application that intelligently generates both backend services and user-facing displays. Further...Read more

Speed Networking—5:15pm-6:00pm
5:15 pm to 6:00 pm

Tuesday, June 10

Breakfast—7:30am–8:30am
7:30 am to 8:30 am
Registration—7:30am–5:00pm
7:30 am to 5:00 pm
Full- and Half-Day Tutorials—8:30am–12:00pm
8:30 am to 12:00 pm
Tutorial TA Prompt Engineering for Software Practitioners
Tariq King
8:30 am to 12:00 pm

With the sudden rise of ChatGPT and large language models (LLMs), practitioners are using these tools for all aspects of engineering. This includes leveraging LLMs for creating software artifacts such as requirements documents, source code, and tests; reviewing them for issues and making corrective suggestions, and analyzing or summarizing results or outcomes. However, if LLM's are not fed good prompts describing the task that the AI is supposed to perform, their responses can be inaccurate and unreliable. Join Tariq King as he teaches you how to craft high-quality AI prompts and...Read more

Tutorial TB AI-Assisted Development: Supercharge Your Coding with GitHub Copilot and More NEW
Jeffery Payne
8:30 am to 12:00 pm

The world of software development is rapidly evolving, and AI-powered tools are leading the charge. Generative AI tools like GitHub Copilot, Cursor, and Continue are revolutionizing how we code by offering intelligent code suggestions, complete function generation, and other advanced features that streamline the development process, improve code quality, and significantly boost developer productivity. In this hands-on workshop, Jeffery Payne will guide you through leveraging these powerful tools to accelerate your coding, reduce errors, and unlock new levels of creativity. Learn how to...Read more

Tutorial TC Clean Your Filthy RAGS! Optimizing, Accelerating, and Evaluating RAG Applications NEW
Justin Castilla
8:30 am to 12:00 pm

Retrieval-Augmented Generation (RAG) applications are becoming essential for companies, combining AI with real-time data retrieval to enhance customer experiences. While Large Language Models (LLMs) handle general conversation well, they struggle with domain-specific, up-to-date information, often producing inaccurate or unhelpful responses. This workshop will empower participants with the necessary skills to optimize RAG applications using existing best practices. Justin will walk through integrating RAGAS, a framework designed to evaluate, monitor, and fine-tune the performance of RAG...Read more

Tutorial TD Common Software, Data, and AI Architectures and the Ways They Fail NEW
Matt Eland
8:30 am to 12:00 pm

This tutorial will examine the complexity that lives in software systems, data ingestion workflows, MLOps pipelines, and artificial intelligence systems. This session blends together cloud architecture, quality assurance, risk management, and security mindsets as Matt Eland explores how modern systems are structured, the problems their complexity helps us solve, and the ways these systems can break - or be broken. The session will alternate between interactive lectures with practical illustrations and group exercises around case studies as you explore how existing systems can fail and what...Read more

Lunch—12:00pm–1:00pm
12:00 pm to 1:00 pm
Full- and Half-Day Tutorials Continue—1:00pm–4:30pm
1:00 pm to 4:30 pm
Tutorial TE A Quality Engineering Introduction to AI and Machine Learning
Tariq King
1:00 pm to 4:30 pm

Although there are several controversies and misunderstandings surrounding AI and machine learning, one thing is apparent — people have quality concerns about the safety, reliability, and trustworthiness of these types of systems. Not only are ML-based systems shrouded in mystery due to their largely black-box nature, they also tend to be unpredictable since they can adapt and learn new things at runtime. Validating ML systems is challenging and requires a cross-section of knowledge, skills, and experience from areas such as mathematics, data science, software engineering, cyber-security...Read more

Tutorial TF Image Classification using LLMs and Transfer Learning
Jeffery Payne
1:00 pm to 4:30 pm

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...Read more

Tutorial TG This Is Our Agent, We Make the Call NEW
Dona Sarkar, Jeremiah Marble
1:00 pm to 4:30 pm

Agents! Finally, a term that might be even more over-hyped than AI! But what exactly are Agents, and more importantly, how do you use them? Where do Agents fit within the overall AI toolkit? What capabilities do they add, and what tasks can they help us perform? Dona and Jeremiah will help you gain a solid understanding of Agents and the fundamental components of an Agent-based AI system. You’ll learn key design principles for Agents, as well as when to leverage them and scenarios where they may not be the best choice. We'll cover how to identify business problems that are well-suited for...Read more

Tutorial TH AI Deep Dive: Exploring AWS Using Real-World Scenarios
Scott Peterson
1:00 pm to 4:30 pm

Deepen your AI and machine learning expertise using AWS in an Immersive, hands-on workshop. You’ll use real-world AI challenges while leveraging AWS services like Amazon SageMaker, Bedrock, and Lambda to build and optimize AI-driven solutions. As the session unfolds, new constraints and data anomalies will emerge, mirroring the complexities of real-world AI/ML implementation. Gain insight into how AI solutions perform under evolving conditions, learning to adapt, optimize, and troubleshoot unexpected challenges. Learn the importance of collaboration, strategic thinking, problem-solving,...Read more

Welcome Reception—5:00pm–6:00pm
5:00 pm to 6:00 pm

Wednesday, June 11

Morning Yoga—6:45am-7:30am
6:45 am to 7:30 am
Registration—7:00am–5:00pm
7:00 am to 5:00 pm
Breakfast—7:30am–8:30am
7:30 am to 8:30 am
Networking Events—Speaker One-on-One (All Day)
8:00 am to 4:30 pm
Keynote 1 - TBA—8:30am-9:30am
8:30 am to 9:30 am
Keynote 2 - TBA—9:35am-10:20am
9:35 am to 10:20 am
Visit the Expo—10:20am–4:00pm
10:20 am to 4:00 pm
Networking Break in the Expo—10:20am-11:00am
10:20 am to 11:00 am
Concurrent Sessions—11:00am–11:45am
11:00 am to 11:45 am
Concurrent Session W1 Building Reliable AI Agent Flows
Jason Arbon, Checkie.AI
11:00 am to 11:45 am

AI agents are revolutionizing how we interact with software, but their reliability remains a critical challenge. In this talk, Jason Arbon explores the key principles and techniques for designing AI agent flows that are predictable, testable, and robust. Attendees will learn how to structure AI-driven interactions to minimize failure points, leverage validation mechanisms, and integrate automated testing strategies to ensure smooth execution. Drawing from real-world applications and lessons learned in AI-driven software testing, this session will provide practical insights for engineers,...Read more

Concurrent Session W2 Using GenAI to Advance Azure AIOps
Sarvani Sathish Kumar, Microsoft Corp
11:00 am to 11:45 am

In today’s rapidly evolving digital landscape, maintaining high service quality is crucial. To achieve this, Microsoft is leveraging cutting-edge technologies such as Generative AI and Large Language Models (LLMs) to enhance service reliability and developer productivity. LLMs excel at understanding and reasoning over large volumes of data. They can generalize across diverse tasks and domains, making them invaluable for generating models, insights, and automating intricate tasks. By integrating LLMs and Generative AI into the complex domains of incident response and root cause analysis,...Read more

Concurrent Session W3 Testing Powered by AI/ML Synthetic Test Data: A Game Changer
Praveen Bagare, EPAM
11:00 am to 11:45 am

The session covers a testing approach that utilizes a new age Test Data Management (TDM) technique which learns from production data. Machine learning analyzes the data to create a model capable of generating synthetic data with identical source data attributes. Multiple learning iterations refine the model, enhancing its accuracy with each cycle. The data model incorporates security measures like differential privacy, enabling safe movement to lower environments. Later, generative AI leverages this model to produce desired volumes of test data for various testing types, including...Read more

Concurrent Sessions—11:50am–12:35pm
11:50 am to 12:35 pm
Concurrent Session W4 Real-World Open Source Agentic Testing Framework: TestZeus
Robin Gupta, TestZeus
11:50 am to 12:35 pm

Test automation is evolving from manual scripting to AI-driven collaboration, where AI agents work together to ensure reliable test execution. This presentation introduces TestZeus, an open-source framework that leverages LLMs to transform Cucumber/Gherkin specifications into automated tests. Robin Gupta will explore its architecture and demonstrate how it handles common challenges like shadow DOMs and iframes. Learn how to implement and debug this next-generation framework, positioning yourself at the forefront of intelligent test automation. Join Robin to discover how TestZeus can...Read more

Concurrent Session W5 Powering Complex Solutions with Agentic Systems
Apurva Misra, Sentick
11:50 am to 12:35 pm

This session explores the revolutionary potential of agentic systems—autonomous agents equipped with diverse tools to tackle multifaceted tasks effectively. By integrating tools, agentic workflows enable intelligent, adaptive solutions to complex challenges. Apurva will start with an introduction to agentic systems, highlighting their ability to utilize various tools dynamically to achieve goals with minimal human intervention. Through real-world case studies, she will demonstrate how tools like APIs, databases, and external services are orchestrated within these systems to simulate...Read more

Concurrent Session W6 Securing the Foundations of AI: Addressing the Past to Safeguard the Future
Peter Wang, Anaconda
11:50 am to 12:35 pm

AI’s future hinges on an ecosystem built on decades of technical debt, fragmented tools, and opaque processes; creating vulnerabilities that threaten the reliability and security of modern applications. In this talk, Peter will examine how the legacy of open-source numerical computing and software supply chains is influencing AI’s trajectory. Drawing from over a decade of leadership in the Python and scientific computing communities, Peter will share strategies for tackling these challenges: improving transparency in data and dependencies, building curated software stacks, addressing...Read more

Lunch in the Expo—12:35pm–1:35pm
12:35 pm to 1:35 pm
Concurrent Sessions—1:35pm–2:20pm
1:35 pm to 2:20 pm
Concurrent Session W7 Unlocking Agentic AI Superpowers in the Quantum Multiverse
Jonathon Wright, Keysight
1:35 pm to 2:20 pm

Step into the future of AI with an immersive dive into the cutting-edge world of AI-Augmented GenAI and how it intercepts with Quantum technologies. This session explores the intersection of multi-threaded AI workflows and the powerful anomaly detection capabilities made possible by Quantum-inspired computing. Discover the latest trends in ModelOps, where agile deployment strategies for domain-specific generative AI models are accelerating innovation in industries ranging from healthcare to defense. Jonathon will uncover how GraphRAG (Graph Retrieval-Augmented Generation) is...Read more

Concurrent Session W8 Moving from Reproducible Data Science to the World of LLM, GPT, RAG, and Hallucination
Bob Rapp, GM (General Motors)
1:35 pm to 2:20 pm

We are moving from the world of reproducible data science (machine learning, area under the curve, a/b testing, model selection, model testing, model fitting and model drift to find the best way to run a data science organization) to being faced with the "Easy Button." This "Easy Button" is often wrong, has poor data protocols, and tries to please; without factual basis. Join Bob to explore ways to make the world better in the bridge from science to the new world of utterances. This session will include examples and experiences from IBM Watson, AI at GE Healthcare, AI at Microsoft, and...Read more

Concurrent Session W9 Customer Churn Prediction Using MLFlow and Streamlit
Priyanka Asnani, Fidelity Investments
1:35 pm to 2:20 pm

This session will guide you through every stage of the machine learning process, from data preprocessing and feature engineering to model training, pipeline construction, and deployment. The session will begin by preparing and transforming data to ensure it’s ready for model training. Next, dive into building scalable ML pipelines within MLFlow, where you’ll learn how to track experiments, monitor model performance, and manage version control. These features enable a streamlined and reproducible workflow, empowering both beginner and experienced practitioners to understand and implement...Read more

Concurrent Sessions—2:25pm–3:10pm
2:25 pm to 3:10 pm
Concurrent Session W10 Navigating AI Governance: Building Trust in a Regulated Future
Vijay Panwar, Panasonic Avionics Corporation
2:25 pm to 3:10 pm

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...Read more

Concurrent Session W11 Decoding the Black Box: Unlocking LLM Observability Preview
Monalisha Singh, NetApp, Inc.
2:25 pm to 3:10 pm

LLMs are revolutionizing AI, but their complexity and black-box nature can make it challenging to understand their behavior and ensure optimal performance. This session will demystify LLM observability, providing practical insights and best practices for gaining visibility into LLM interactions, performance, and security. Learn how to: discover the essential metrics to monitor for LLM health and performance, implement effective logging and tracing strategies to track LLM requests and identify bottlenecks, optimize LLM inference performance using profiling techniques, proactively...Read more

Concurrent Session W12 Mastering Prompt Engineering: Unlocking the Power of Prompt Patterns and Meta-Prompting Technique
Hien Luu, Zoox
2:25 pm to 3:10 pm

As AI becomes increasingly central to professional workflows, the ability to craft effective prompts has emerged as a crucial skill. While many users struggle with trial-and-error approaches, this session introduces a systematic framework for prompt engineering based on proven patterns and and meta-prompting techniques. You'll learn how to apply specific prompt patterns such as persona, meta-language creation, and flipped interaction, and more, to achieve consistently better results. You will then explore meta-prompting - a powerful technique where AI assists in generating, refining, and...Read more

Networking Break in the Expo—3:10pm-3:50pm
3:10 pm to 3:50 pm
Keynote K3 Operationalizing Disruptive Technologies: A Strategic Framework for Harnessing the Power of GenAI
Mary Thorn, S&P Global Ratings
3:50 pm to 4:35 pm

The advent of disruptive technologies, particularly in artificial intelligence, has ushered in a new era of possibilities and challenges. This talk proposes a comprehensive framework for operationalizing disruptive technologies, specifically focusing on the transformative potential of Generative Artificial Intelligence (GenAI). As organizations grapple with integrating GenAI into their operations, there is a pressing need for a structured approach that addresses technical, ethical, and organizational considerations. Mary will delve into a strategic framework designed to guide businesses in...Read more

Keynote 4 - TBA—4:40pm-5:40pm
4:40 pm to 5:40 pm
Visit the Expo—5:30pm–7:00pm
5:30 pm to 7:00 pm
Expo Reception—5:40pm–7:00pm
5:40 pm to 7:00 pm

Thursday, June 12

Morning Yoga—6:45am-7:30am
6:45 am to 7:30 am
Breakfast—7:30am–8:30am
7:30 am to 8:30 am
Registration—8:00am–3:00pm
8:00 am to 3:00 pm
Networking Events—Speaker One-on-One (All Day)
8:00 am to 4:30 pm
Keynote 5 - TBA—8:30am-9:30am
8:30 am to 9:30 am
Keynote 6 - TBA—9:35am-10:20am
9:35 am to 10:20 am
Networking Break in the Expo—10:20am-10:50am
10:20 am to 10:50 am
Visit the Expo—10:20am–2:45pm
10:20 am to 2:45 pm
Concurrent Sessions—10:50am–11:35am
10:50 am to 11:35 am
Concurrent Session T1 The AI-Powered Leader: Creating Alignment and Redefining Leadership in an Autonomous Era
Alireza Boloorchi, Ph.D., Catch Up AI
10:50 am to 11:35 am

Traditional leadership has relied on intuition, manual processes, and fragmented feedback loops. But what if AI could fundamentally reshape how we lead—creating inherent alignment, removing hierarchical bottlenecks, and enabling decentralized decision-making? Imagine an autonomous AI companion that analyzes patterns, prioritizes coaching needs, and adapts in real time to foster self-organization, continuous learning, and leadership at every level. In this session, we’ll explore how AI-driven leadership models can replace rigid hierarchies with dynamic, data-informed decision-making,...Read more

Concurrent Session T3 RAG at Scale: Building Production-Ready GenAI Solutions
Francesca Lazzeri, Microsoft
10:50 am to 11:35 am

This session serves as a deep dive into the strategies and best practices for data scientists aiming to build, fine-tune, and scale Retrieval Augmented Generation (RAG) based Generative AI (GenAI) applications. The core objectives for data scientists in the AI development cycle center around providing highly relevant results for end users and maintaining cost-effectiveness to support the sustainable growth of their products. RAG is a pivotal method that enables GenAI applications to operate effectively on proprietary data. At the heart of RAG are robust retrieval systems, which are crucial...Read more

Concurrent Sessions—11:40am–12:25pm
11:40 am to 12:25 pm
Concurrent Session T5 Continuous Testing for AI Applications
Cy Khormaee, Attentive
11:40 am to 12:25 pm

In the era of artificial intelligence, software testing has evolved from a finite phase in development to an ongoing, dynamic process of monitoring. Unlike traditional deterministic systems, AI-driven applications operate probabilistically, introducing variability and uncertainty in outputs even with consistent inputs. This paradigm shift requires a rethinking of testing strategies, moving towards continuous monitoring to ensure performance, fairness, and reliability in production environments. This session will explore how QA teams can integrate AI-specific methods, anomaly detection, and...Read more

Concurrent Session T6 RAG Has Evolved - Enhance Your RAG Pipeline with These Concepts
Matt Payne, Width.ai
11:40 am to 12:25 pm

The majority of businesses today can set up a fundamental RAG pipeline that effectively handles most use cases. However, this basic setup eventually reaches its limitations in terms of functionality and accuracy, hindering further advancements. Matt Payne aims to detail the necessary pipeline components for building advanced RAG pipelines. For each component, he will explain the what, when, why, and how and provide real-world examples. Key areas of focus include leveraging tools and function calling, which enables you to create a systematic approach to using knowledge from multiple sources...Read more

Lunch in the Expo—12:25pm–1:25pm
12:25 pm to 1:25 pm
Concurrent Sessions—1:25pm–2:10pm
1:25 pm to 2:10 pm
Concurrent Session T7 Brewing Better Technology: How Human Insights Enhance AI Capabilities
Emma Pyne, EPAM/Test IO
1:25 pm to 2:10 pm

Striking the right balance between the efficiency of artificial intelligence (AI) and the nuanced insight of human interaction is crucial. The motivation behind integrating AI in development and testing is to enhance decision-making and productivity through automation. However, solely relying on AI can overlook critical elements that only human testers can provide, such as emotional intelligence and contextual understanding. To illustrate this dynamic, Emma Pyne will use the analogy of AI as coffee brewing machines and human testers as skilled baristas in Seattle's coffee shops. AI, much...Read more

Concurrent Session T9 Amazing Ways Retailers Are Using Generative AI
Balvinder Singh Banjardar, Walmart Global Tech
1:25 pm to 2:10 pm

Generative AI is transforming the retail industry by enabling innovative approaches to customer engagement, personalization, and operational efficiency. Retailers are leveraging AI-driven tools to create personalized shopping experiences, from generating tailored product recommendations to crafting dynamic marketing content. In e-commerce, generative AI enhances virtual try-ons and product design, allowing for more interactive and immersive customer journeys. Additionally, retailers use AI for predictive inventory management, automating supply chain decisions, and optimizing logistics....Read more

Networking Break in the Expo—2:10pm-2:40pm • Closes at 2:45pm
2:10 pm to 2:40 pm
Concurrent Sessions—2:40pm–3:25pm
2:40 pm to 3:25 pm
Concurrent Session T10 Navigating Compliance with the EU AI Act: Strategies for Responsible AI Development and Governance
Joanna Kennedy, Fullsight
2:40 pm to 3:25 pm

As AI systems continue to transform industries, the EU AI Act sets a pivotal regulatory framework to ensure responsible and ethical use of artificial intelligence across Europe. This session will provide practical insights into navigating compliance with the EU AI Act, addressing key requirements for high-risk AI systems, transparency, accountability, and data governance. Joanna will explore how organizations can align their AI development processes with the Act's standards while maintaining innovation. Attendees will gain actionable strategies for integrating compliance into existing...Read more

Concurrent Session T11 Shadow Vulnerabilities in AI/ML Data Stacks - What You Don’t Know CAN Hurt You
Gal Elbaz, Oligo Security
2:40 pm to 3:25 pm

The adoption of open-source AI software introduces a new family of vulnerabilities to organizations. Some components in AI, like model serving, include Remote Code Execution (RCE) by design, like when loading pre-trained models from external sources. Traditional SCA and SAST approaches are not built for the AI ecosystem leaving a huge & insecure attack surface. The irony is that in the AI ecosystem, security issues such as remote code execution are actually a feature and not a bug, often specified explicitly in the docs, which most devs don’t read. AI models are often downloaded from...Read more

Concurrent Session T12 Empathy in Code: Balancing Emotional Intelligence with Ethical Boundaries in AI
Megs Shah, Parasol Cooperative
2:40 pm to 3:25 pm

As AI systems increasingly support the social and emotional well-being of humans, the integration of human-like interactions presents both opportunities and significant risks that necessitate the use of trauma-informed principles in design. This session examines the delicate balance between creating emotionally intelligent AI and maintaining essential ethical boundaries. Join Megs to explore critical decisions in AI development: when emotional support should be provided versus redirected to human professionals, how to establish clear limitations in AI capabilities, and methods for...Read more

Keynote 7 - TBA—3:30pm-4:30pm
3:30 pm to 4:15 pm
AI Leadership Summit Reception 5:30pm-6:30pm (Summit Registration Required)
5:30 pm to 6:30 pm

Friday, June 13

Registration—7:30am–3:00pm
7:30 am to 3:00 pm
Breakfast—7:30am–8:30am
7:30 am to 8:30 am
AI Leadership Summit
8:00 am to 3:30 pm
AI Leadership: Navigating Transformational Change Thursday, June 12 (evening) and Friday, June 13 (all day)

As artificial intelligence (AI) continues to revolutionize industries, leaders must explore the impact AI has on their business strategies and direction. From setting strategic visions for AI adoption to fostering ethical and responsible AI practices, strong leadership is essential for successful AI adoption and implementation. But like any transformational change, some challenges and pitfalls must be overcome to make AI successful. Join in the conversation with your peers as...Read more

Lunch—12:00pm–1:00pm
12:00 pm to 1:00 pm