Total Credits: 9
Two recording options are available from each day - the skippable recording allows you to watch any sessions you choose and to jump around between the content, but does not offer Advance Credits. If you would like to earn Advance Credits for completion of AI Days, the non-skippable version of the recordings must be completed.
During our recent online event (spread over 3 half days), QRCA tackled this new world of artificial intelligence head-on. The goal of this virtual conference is to simplify the Wild West of AI offerings and curate what’s currently ‘Best in Class’, making it easier for those who work in qualitative research to get started using AI in their own work.
Sessions offer a roadmap for AI use, from dynamic presentations to delivering impactful reports and everything in between. With the help of knowledgeable peers, as well as supportive vendor partners, this first of its kind event can help solve the mysteries of this new timesaving set of tools.
This qualitative-specific online conference occured July 22, 23 and 24, 2024 and is now available for a limited time on-demand.
July 22(Monday)Start: 8:00 am PT |
Day 1: Introduction to AI in QualThis day will be focused on introducing AI to qualitative researchers and how it might be applied in the proposal and pre-field planning stages. |
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July 23(Tuesday)Start: 8:00 am PT |
Day 2: Utilizing AI in the FieldThis day will be focused on applying AI during fieldwork to help inform and spark conversations with research participants. |
July 24(Wednesday)Start: 8:00 am PT |
Day 3: AI in Analysis + Future of AI in QualThis day will be focused on harnessing AI in the analysis and interpretation phase. Closing with a discussion of the future potential of AI and Qual! |
Recordings of each day are provided to registrants only. Registration includes access to all 3 days of the event.
On-Demand registration is available through September 2024 to QRCA Members.
Sponsors
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AI Days - prework (optional, but encouraged)
(222.1 KB)
Here’s some optional (but encouraged!) things to think about before the event. We’ll be asking about your response to Part 1 at the beginning of Day 1, so be sure to give this some thought. |
Available after Purchase | ||
| The Great Unlearning (pre-read) (401.8 KB) | Available after Purchase | ||
| How AI is Transforming the Screening Questionnaire Process - André Sanabia Johnston (1.7 MB) | Available after Purchase | ||
| Harnessing Text-to-Image AI for Real-Time Stimulus Creation and Creative Development in Market Research - Florian Groth (2 MB) | Available after Purchase | ||
| The Future of Qualitative Research in the Age of Artificial Intelligence - Yogesh Chavda (1.8 MB) | Available after Purchase | ||
| The Great Unlearning - Dr. Susanne Friese (3.4 MB) | Available after Purchase | ||
| Incorporating Generative AI Imagery in Projective Technique Reportage - Michael Tucker (3.3 MB) | Available after Purchase | ||
| Unmasking AI: Spotting and Safeguarding Against AI Responses in Asynchronous Qual - Bronwen Ward (3.5 MB) | Available after Purchase | ||
| AI-Powered Projective Techniques: Unlocking Deeper Insights - Isabelle Landreville (4.4 MB) | Available after Purchase | ||
| Qualit-AI-tive Analysis: How Does AI Stack Up Against Humans? - Darby Steiger, Nashay Lowe (6 MB) | Available after Purchase | ||
| Quick Review & Current Applications - Daniel Berkal (7.9 MB) | Available after Purchase | ||
| AI's Impact on our Industry + Qual - Ray Poynter (9.2 MB) | Available after Purchase | ||
| Beyond the Hype: Demystifying AI for Practical Market Research - Alok Jain (18.8 MB) | Available after Purchase | ||
Yogesh Chavda’s 25+ years as a marketing executive are highlighted by pivotal roles and impactful initiatives at organizations that dominate their field and have left a cultural impact. In addition to stints at Spotify, Pinterest, Amway, Kimberly Clark, and WS Audiology, Yogesh’s background includes a 16-year run at Procter & Gamble, where he held various senior-level positions across 6 countries.
Yogesh is the Director of the Center for Marketing Solutions at the University of South Carolina’s Darla Moore School of Business, renowned for its international business program. Besides leading the Marketing Center, he is a Lecturer on Strategic Marketing, Applications of Insights, and AI in Marketing for Seniors and MBA students.
He’s also the founder of Y2S Consulting, where he’s brought his passion for empowering and facilitating content on brands impacted by stigma.
Yogesh hosts a Podcast on LinkedIn called Next Frontier In Insights where he interviews thought leaders and innovators at the forefront of Marketing.
Dr Susanne Friese is an accomplished expert in qualitative methods and data analysis, with over three decades of experience in the field. Her extensive knowledge and expertise have been applied to numerous research projects, teaching engagements, and consulting engagements across the globe. She is highly regarded for her ability to explain complex concepts in a clear and concise manner, making her an excellent teacher of qualitative research methods.
She has taught courses on qualitative methods at numerous universities, research institutions, and public service organisations worldwide. With the introduction of ChatGPT, she took up an interest in the application of AI for qualitative research and data analysis. You can follow her journey of experimenting with the newest tools and contribution to the field up until now by reading her blog: https://qeludra.com/blog
Florian is a Senior Research Consultant at Point Blank, based in Berlin. His career began during the challenging times of the first COVID-19 lockdown in 2020. Before diving into the world of qualitative market research, he studied cultural anthropology, sociology, and business administration. His academic background enriches his approach to research, combining cultural insights with a keen understanding of social dynamics and business strategies. Awarded the QRCA Global Qualitative Researchers' Award (GQR) in 2024, Florian's work is recognized not only for his innovative use of AI tools in qualitative research, a journey that began with his discovery of ChatGPT. His first tentative steps were so fascinating to him that AI has since become a cornerstone of his daily professional activities.
With nearly three decades of experience in Product Research, Alok has worked with renowned organizations such as Capital One, Centene, and the World Bank. Complementing his extensive research background, he also possesses 6 years of expertise in Machine Learning. Driven by a passion for research and design, Alok is committed to developing innovative technologies that empower researchers and enable them to deliver greater value.
Isabelle is the proud owner of Sylvestre & Co., a North American award- winning qualitative MR firm with half a century of experience. For more than 50 years, Sylvestre & Co. has pushed the boundaries of what is possible in qual and leveraged technology to innovate in a human way, that is to augment and enrich outcomes by making participants feel safe and engaged to reveal their authentic selves. Her passion for cultural insights and for building human-scale connections has allowed her to build action- enabling consumer empathy in situ, in person and virtually, at home, in Canada, and across the globe for 20 years. Listen to her podcast, Insightful Inspiration, available on all major networks, where Isabelle chats with leaders that move the insights industry forward.
Passionate about facilitating social change, Dr. Lowe is a seasoned Qualitative Associate Research Director at SSRS with over five years of hands-on experience in social science research. Specializing in international conflict management and interdisciplinary studies, she leverages her in-depth knowledge and qualitative methodological expertise to address global social justice issues and enhance community development through evidence-based research and strategic insights.
André Sanabia Johnston is a Qualitative Research Director at PSB, based in Washington, DC. He has 7+ years of experience as a researcher and moderator on hard-to-reach segments – particularly with US Hispanic/Latinos, LGBTQ, and gen-Z consumers – and translating qualitative research and analysis into strategy-oriented deliverables for clients across a wide variety of industries. He functions as a true strategic partner, involved in all stages of the qualitative research design process from understanding client needs to develop a sound methodological approach, to discussion guide development and moderation.
André holds two RIVA Institute moderation training certificates and was a recipient of the Young Professionals Award from the QRCA in 2020. He received his B.A. from The University of Virginia, double-majoring in Economics and Women, Gender & Sexuality Studies and holds a Master’s in Business Administration from The George Washington University.
Darby Steiger is the Director of Qualitative Research & Survey Design at SSRS, a national research firm in Glen Mills, PA. She has been designing and conducting qualitative and survey research on a wide range of social science topics for over 25 years. Before joining SSRS in 2023, Darby spent 10 years at Westat as a senior survey methodologist and 15 years as a senior methodologist at Gallup. She holds two Master’s degrees in Survey Methods and Public Policy from the University of Michigan. Darby is a national leader in the field of social science research, having served on the Executive Council of the American Association for Public Opinion Research (AAPOR) and as Chair of the 77th Annual AAPOR Conference.
I have been a qualitative market researcher and marketing consultant for more than 27 years, primarily in the healthcare space. My background is in cognitive development and psycholinguistics which affords me unique opportunities to apply these methods to understanding complex decision-making and motivation among key stakeholders across the healthcare spectrum. I've specialized in pre-launch strategy, product positioning, messaging and the development and evaluation of creative themes and executions. In addition, I moderate consulting workshops to help clients and collaborative partners find meaningful ways to transition research findings into practical outcomes.
Bronwen believes every person has a unique and interesting story to tell. As part of the Upwords team since 2012, Bronwen has been deeply immersed in qualitative research, with great depth of experience in online methodologies. Upwords custom designs market research that inspires human-centered decision making for Strategy, Innovation, Communications and Experiences. We deliver insights that inspire, using technology “with purpose” to help brands make human connections.
Bronwen loves to explore how technology including AI can enhance our work, while staying mindful of (and mitigating) potential risks. She values diverse perspectives and is always seeking to uncover underlying motivations that drive human decision making and behaviour.
Daniel Berkal is a global authority on integrating AI in qualitative research. Renowned for his creative ethnographic methods, he explores the untold stories hidden within the most unexpected places.
Born with an outsider perspective and a deeply analytical mind, Sidi has always strived to reconcile his belief that each one of us unique with his innate perception of formal patterns of though. After 15 years in insights both client and agency side, he founded Jade Kite, an agency dedicated to enhancing empathy and intuition through Artificial Intelligence. His session will give a brief overview of how combining different AI analysis angles can greatly add to depth and robustness of established qualitative methods.
With a Masters in Artificial Intelligence from Université Paris-Jussieu, Sidi stumbled into world of market research world by setting up the first formal studies in Mauritania, West Africa. Falling in love with the process, he obtained his market research diploma from MRS and worked at several leading global qualitative agencies in London. He has conducted insights work in over 40 countries to define the strategic direction of a number of billion-dollar brands across sectors. He remains a committed futurist who believes smarter thinking and stronger technology can help us focus on what makes us human.
Join Paula Kramer, VP of Project Management and Qualitative Strategist at Aha Insights Technology, for a practical how-to session that delves into the dynamic intersection of artificial intelligence (AI) and qualitative research based on real-world experiences.
This comprehensive session aims to equip researchers with a practical understanding of how AI’s transformative power generates unprecedented efficiency to significantly reduce the time required for data analysis, enhances data accuracy, and expedites the extraction of more meaningful insights from large volumes of unstructured data. Paula will share AI’s capabilities to enable richer sentiment analysis and uncover hidden patterns that allow researchers to connect the unseen dots within qualitative data sets.
Key Takeaways:
Discover how to use AI to reduce analysis time by 50%+ and get better insights.
Learn how to validate and gain confidence in AI-generated results.
Understand how to leverage the “human touch” to utilize AI most effectively.
Discover the inner workings of AI, its strengths, and weaknesses compared to traditional human approaches. We'll explore real-world examples and assess whether AI is the right fit for AI-moderated interviews and other market research applications. Don't miss out on understanding how AI can transform your research strategies!
Developing effective screening questionnaires is a critical step in conducting successful qualitative research studies. However, the process of creating these questionnaires can be time-consuming and prone to human error. In this presentation, we will explore how artificial intelligence (AI) can be leveraged to streamline the development of screening questionnaires. We will discuss best practices and tools for training an AI model using past screener questions to develop future ones, as well as how to leverage AI to help set up soft quotas and test logic within your screener. We will also explore how AI can help identify potential biases in screening questions and improve the accuracy of industry specific questions. Additionally, we will demonstrate how to use screener data to identify the most unique group to seat in group discussions. During this session, we will cover two popular platforms for leveraging AI in screening questionnaire development: the free version of ChatGPT and the paid version, as well as Copilot. By the end of this presentation, attendees will have a better understanding of how AI can be used to simplify the screening questionnaire development process, saving time and reducing errors. Please join us in exploring the ways in which AI is revolutionizing the screening questionnaire process.
As qualitative research continues to evolve, AI has become increasingly prevalent as a tool that Quallie’s can use to make our lives easier. There is however another side to AI in qual that could jeopardize the integrity of our studies; have you ever wondered if the person you are talking to is sharing their own perspective or if they might be using AI instead?
In this session we will:
By the end of this session, attendees will gain insight to better enable them in distinguishing between human and AI responses when conducting asynchronous qual, while learning practical strategies to incorporate into their next project.
Join Bronwen for helpful tips you can use as we navigate the evolving AI landscape in qual.
Explore the realm of AI-generated efficiency for the qualitative research analysis process. In the face of rapidly changing consumer trends, instant insights are in demand more than ever. Enter Quillit, a generative AI tool that can transform raw qualitative data into actionable insights faster than ever before. Delve into leveraging the power of AI as we showcase how Quillit makes it faster and easier for you to get to the beating heart of your qualitative content, and be able to trust the results.
This session explores how text-to-image AI is transforming qualitative research. Witness a case study where AI generated real-time visuals based on participant feedback, fostering deeper insights and a more engaging interview experience. We'll then delve into the future potential of using these AI-generated visuals to accelerate creative development. Discover how market research insights can seamlessly translate into compelling advertising materials.
Join me for an engaging session on leveraging AI-powered projective techniques to unlock profound insights. Through real-world examples, session attendees will embark on a journey to explore innovative methodologies that elevate traditional projective techniques to new heights. Think of it is as projective techniques on steroids – where AI serves as the catalyst for creativity and in-depth understanding. I will demonstrate how these upgraded techniques not only enhance the safety and engagement of research participants but also unearth nuanced consumer sentiments and motivations throughout the fieldwork process. Attendees will leave empowered with actionable strategies for infusing AI creativity into their qualitative research fieldwork, paving the way for more profound and meaningful consumer understanding.
A CloudResearch & Siena College Research Institute Collaboration
Using cutting-edge AI technology, CloudResearch, in collaboration with Siena College Research Institute, conducted in-depth interviews with over 5000 battleground state voters likely to decide the 2024 election. Their responses were candid, often emotional, and underlined some key challenges facing both Joe Biden and Donald Trump.
For the first time in the history of Presidential elections, AI is being used at scale to understand the mind of the voter. Get ready to discover fascinating insights about the people who will decide the next election. We will describe how CloudResearch’s revolutionary new AI-based survey and interview system, Engage, can be used to conduct studies that combine the strengths of both quantitative and qualitative research - including study design, in-depth interviews, automated theme extraction, and data analysis. We will also reveal how Engage AI-driven surveys were used to discover novel insights about the factors affecting the decisions of the most critical voters in the 2024 elections.
The incorporation of projective / non-rational techniques in qualitative research is often driven by a desire to tap into motivations and drivers of behavior that are below the level of consciousness and may not be accessible through standard linguistic approaches. Similarly, reporting on the results of these research findings can be challenging, requiring a way of representing respondent insights in a graphically meaningful way, where simple descriptive language may often fall short. Generative image AI can address some of these issues, by utilizing verbatim responses to help craft visualizations for use in reporting on patient journey mapping, branding, and emotional driver depictions. This presentation will illustrate how AI can elucidate and clarify findings from these kinds of studies to maximize the value of these kinds of qualitative studies.
AI tools are emerging at a rapid pace in all aspects of humanity, alluring us with their capabilities and speed, and providing a vision of the future where we can have answers to anything and everything with the snap of our fingers in the form of a well-crafted prompt. How this impacts us as qualitative researchers is exciting and terrifying all at once. How can we trust that AI is generating valid and reliable answers? How can AI address the thorny issues of baked-in bias based on the language models it uses to train itself? And as much as we’d like to say the answer is no, are there any tasks that AI might actually be able to do better than us as expert qualitative researchers? SSRS, a social science research firm, has been testing a number of AI platforms and tools to explore how we might leverage AI in the analysis phase for qualitative research studies including focus groups, IDIs, and online boards. This presentation reviews our experiences with one such platform that has shown promising results for our needs. We will present our experiences testing CoLoop on a variety of studies and populations, including focus groups and IDIs with Native Americans, online bulletin boards with sports fans in 15 countries, and focus groups with people with Parkinson’s Disease. We will review our experiences with the platform, results of a comparison to human-analysis, and provide recommendations for researchers considering using AI-enabled analysis platforms.
In a human-centric field, AI often raises fear that as technology becomes more ‘human’, our own minds become more redundant. But if we remember that AI is not human and works very differently to our own, we can really optimize how we use it and achieve better results. We will likely never reach a time where AI replaces an expert qualitative researcher who takes the time to get in the weeds, codes by hand, and uses highly trained empathetic practices to gain deep understanding of their participants. But these new tools can unlock brand new strengths when it comes to undertaking research. And like with bespoke tailoring and ready-to-wear fashion, there is place for both in this world.
One thing is certain: the skills that make us excellent researchers and innovators are the same skills that help us to truly understand and optimize what AI is capable of. In the case of Susanne, and so many others we speak to in the field, it is an unparalleled curiosity, creativity and delight in tackling problems in new and exciting ways that contributes to our industry’s fascination and excitement around adopting with AI.
Susanne’s hopes for the future of AI are the same as ours
With this in mind, we hope to see this great unlearning and reimagining continue long into the future!
I will present an exploration of the qualitative research industry's future amidst the rapid evolution of Artificial Intelligence (AI) and other technologies. Drawing from a narrative that encompasses scenarios of growth, constraint, collapse, and transformation, I will dissect the intricate ways AI could shape qualitative research over the next decade. I'll delve into the potential of AI to revolutionize insight generation through advanced analytics and natural language processing, the strategic use of synthetic data to navigate privacy and ethical considerations, and the transformative role of other technologies like Augmented Reality and Virtual Reality in creating immersive research experiences. This discussion will extend to the challenges posed by regulatory constraints and public trust issues, presenting a vision for a future where ethical frameworks and technological innovation drive the qualitative research industry forward. This analysis aims to provide a roadmap for navigating the complex interplay of technology, regulation, and consumer expectations, offering innovative strategies for sustaining growth and fostering meaningful consumer connections in an increasingly digital world.
Join Paula Kramer, VP of Project Management and Qualitative Strategist at Aha Insights Technology, for a practical how-to session that delves into the dynamic intersection of artificial intelligence (AI) and qualitative research based on real-world experiences.
This comprehensive session aims to equip researchers with a practical understanding of how AI’s transformative power generates unprecedented efficiency to significantly reduce the time required for data analysis, enhances data accuracy, and expedites the extraction of more meaningful insights from large volumes of unstructured data. Paula will share AI’s capabilities to enable richer sentiment analysis and uncover hidden patterns that allow researchers to connect the unseen dots within qualitative data sets.
Key Takeaways:
Paula Kramer VP of Project Management and Qualitative Strategist, Aha Insights Technology
Paula leads Aha’s project management team and oversees all research utilizing the Aha insights technology platform, including recruiting, programming, discussion guide creation and coaching, moderating and client relationship management. Paula’s decade of experience in online qualitative work has been focused on creating personal connections with respondents to develop valuable insights across all categories, including work on sensitive issues and challenging topics. Paula received her undergraduate public relations and journalism degree from Indiana University and then earned her MBA from Cleveland State University.
Explore the realm of AI-generated efficiency for the qualitative research analysis process. In the face of rapidly changing consumer trends, instant insights are in demand more than ever. Enter Quillit, a generative AI tool that can transform raw qualitative data into actionable insights faster than ever before. Delve into leveraging the power of AI as we showcase how Quillit makes it faster and easier for you to get to the beating heart of your qualitative content, and be able to trust the results.
Annie McDannald is the Global Vice-President of Civicom Marketing Research Services, a global ResTech leader. She has extensive experience providing consultation and support to a wide range of insight professionals, ranging from independent researchers to the largest Gold Top 50 agencies. Annie leads the team in delivering Civicom solutions to clients, providing marketing research services for online and in-person methodologies, including In-Depth Interviews, Focus Groups, Online Communities, and Mobile Research. With over a decade of specialized industry experience, she exhibits innovation, a growth mindset, and a daily commitment to the Civicom motto, “Your Project Success Is Our Number One Priority.”
Jason Deniega is the Product Manager for Quillit ai. He's in charge of the design, development, and new innovations for Civicom's AI product for qualitative market researchers. In the past 10 years, he's built and commercialized multiple SaaS (Software as a Service) products in different fields.
Megan O'Brien is the Founder & CEO of Arch Insights (ArchAI). She holds an MBA from Harvard Business School and has a strong background in strategy, business operations, and market research. Megan has gained valuable experience at Bain & Company, Flamingo (Harry's Inc.), Torch Capital, and Ipsos, and graduated summa cum laude from the University of Notre Dame.
A CloudResearch & Siena College Research Institute Collaboration
Using cutting-edge AI technology, CloudResearch, in collaboration with Siena College Research Institute, conducted in-depth interviews with over 5000 battleground state voters likely to decide the 2024 election. Their responses were candid, often emotional, and underlined some key challenges facing both Joe Biden and Donald Trump.
For the first time in the history of Presidential elections, AI is being used at scale to understand the mind of the voter. Get ready to discover fascinating insights about the people who will decide the next election. We will describe how CloudResearch’s revolutionary new AI-based survey and interview system, Engage, can be used to conduct studies that combine the strengths of both quantitative and qualitative research - including study design, in-depth interviews, automated theme extraction, and data analysis. We will also reveal how Engage AI-driven surveys were used to discover novel insights about the factors affecting the decisions of the most critical voters in the 2024 elections.
Leib Litman, PhD., is co-founder and Chief Research Officer at CloudResearch and is Professor of Psychology at Lander College, NY. Leib received his Ph.D. in experimental psychology and was a research scientist in cognitive neuroscience at NYU. He specializes in mixed methods research, and will share practical insights about using AI to automate the collection and analysis of qualitative data at scale.
Maeve has worked with Indeemo clients coming up to 5 years now with extensive experience in account management and customer success. Maeve and her team guide clients through the platform, addressing their needs, and helping them achieve their research objectives. Maeve is excited to introduce Indeemo's new AI-driven features, which are designed to enhance the user experience and streamline research processes.
Prasanna Meduri is the Chief Revenue Officer of EzyThemes Pte Ltd., a startup that has been pioneering AI enabled productivity for research and insights. He is passionate about enabling organizations of all sizes, unleash the potential within their teams by leveraging technology to address the boring, repetitive tasks. Prasanna works with customers across the world to identify and solve challenging business issues especially in the functions of market research, insights and customer satisfaction
Chuck Miller is president of Digital Marketing & Measurement, LLC (DM2), an agency focused digital marketing research. During his 25+ year career, Chuck has built significant capabilities in provider and end client organizations, including 10+ years as a VP at AOL and Time Warner leading Consumer Insights and Business Intelligence functions. A pioneer in online research, Miller is named Inventor on a US Patent associated with the first survey router. As a recognized thought-leader in marketing research, Miller frequently publishes, speaks at conferences, and leads many industry initiatives.
Heather Hardiman is a qualitative consultant on the Insights & Innovation team with 12+ years of market research experience. She’s a practiced moderator and qualitative researcher with a background in quantitative analysis; she is passionate about creating comprehensive research plans that inspire rich consumer insights for her clients. Heather has expertise in traditional and online qualitative methodologies including focus groups, in-depth interviews, usability testing, digital discussion boards, conducting research with kids, and menu/food testing. She has extensive experience in the vacation & leisure travel, restaurant, consumer products industries, as well as in health care, automotive, and telecom. She comes to Decision Analyst after a 10+ year career with Disney Parks, Experiences and Products; focused on the Theme Park Business. Heather has a robust background in analytics, working early in her Disney career as a Financial Analyst, then as a Sr. Analyst with the quantitative team supporting on-going and ad hoc surveys. Heather received her B.S.B.A from the University of Central Florida. All this translates into a strategic mindset that tenaciously champions the consumer voice with business goals in mind – all while providing a thoughtful, empathetic, and intentional approach to each and every project.
| Availability | Module Title | Speaker | Credits | Course Type | Duration | Course Details | |||||||||||||||||||||||||||||||||||||||||||
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| At the time of purchase |
ON DEMAND - AI Days - Day 1: Introduction to AI in Qual (SKIPPABLE)
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Andre Sanabia Johnston
Alok Jain
Ray Poynter
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N/A | On Demand | 2 Hours 48 Minutes | More info » | |||||||||||||||||||||||||||||||||||||||||||
| Jul 24, 2024 @ 08:00 AM (CDT) |
ON DEMAND - AI Days - Day 2: Utilizing AI in the Field (SKIPPABLE)
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N/A | On Demand | 2 Hours 42 Minutes | More info » | ||||||||||||||||||||||||||||||||||||||||||||
| Jul 24, 2024 @ 08:00 AM (CDT) |
ON DEMAND - AI Days - Day 3: AI in Analysis + Future of AI in Qual (SKIPPABLE)
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N/A | On Demand | 3 Hours 03 Minutes | More info » | ||||||||||||||||||||||||||||||||||||||||||||
| Jul 22, 2024 @ 10:00 AM (CDT) |
AI Days - Day 1: Introduction to AI in Qual
(NON-SKIPPABLE)
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Andre Sanabia Johnston
Alok Jain
Ray Poynter
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Total Credits: 3 Advance Credits | Webinar | 3 Hours | More info » | |||||||||||||||||||||||||||||||||||||||||||
| Jul 23, 2024 @ 10:00 AM (CDT) |
AI Days - Day 2: Utilizing AI in the Field
(NON-SKIPPABLE)
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Total Credits: 3 Advance Credits | Webinar | 3 Hours | More info » | ||||||||||||||||||||||||||||||||||||||||||||
| Jul 24, 2024 @ 10:00 AM (CDT) |
AI Days - Day 3: AI in Analysis + Future of AI in Qual
(NON-SKIPPABLE)
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Total Credits: 3 Advance Credits | Webinar | 3 Hours | More info » | ||||||||||||||||||||||||||||||||||||||||||||
| Total Program CE Credits Information | |||||||||||||||||||||||||||||||||||||||||||||||||
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