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DTSTART;TZID=America/New_York:20231005T130000
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DTSTAMP:20260513T204931
CREATED:20230517T184451Z
LAST-MODIFIED:20231013T191718Z
UID:10000431-1696510800-1696514400@usteducation.org
SUMMARY:W453: The True Implications of AI for the Association Industry: Part 1 –Managing the Risks and Disruption of Generative AI
DESCRIPTION:COURSE DESCRIPTION: \nThe True Implications of AI for the Association Industry \nA four-part strategic conversation between forward thinking industry leaders and YOU\, about how association leaders should be thinking about the impact of generative AI on the association industry as a whole\, as well as on your own association and its members.  This series will provide food for thought and some questions for consideration\, through a full group discussion hosted by a small group of panelists who have already put a lot of thought into these topics and have some insight to share. The bulk of the time will be for general discussion and Q&A – you will be sure to leave with your mind buzzing as well as some practical ideas and next steps to bring back to your organization. \nWe will cover the following topics: \n  \nPart 1 –Managing the Risks and Disruption of Generative AI \nGenerative AI is more than just chatbots and weird art – we need to understand how it works\, in order to start figuring out how we might manage risk and disruption to our industries.  In this session\, we’ll start with a baseline explanation for non-techies\, then dig into what this means for association leaders and how we should be thinking about the implications: \nInternal disruption – How will AI fit into governance? Organizational Strategy? Change management and evolving how we work? HR implications? \nExternal disruption –  how this will impact our members and our association sector – what does this mean for existing credentialing and professional education? Cybersecurity? How will it affect how our members do their jobs or run their companies? What role do associations need to play in leading their stakeholders in understanding the implications? \nBring your questions\, ideas\, and resources/links if you have some!  All sessions in this series will provide actionable resources from panelists and participants for all to take away. \n  \nPart 2 – Considerations for Adding AI to Your Tech Stack \nAI functionality has been part of our tech stack for a while\, of course\, but we’re about to see an avalanche of new tools\, plugins and features from the big platforms we use everyday (looking at you\, Microsoft and Google).  How do we manage this onslaught of shiny tools?  And how do we get proactive about researching and adding other new tools to evolve our tech strategy and tech stack?  How do we keep on top of security risks?  \nBring your questions\, ideas\, and resources/links if you have some!  All sessions in this series will provide actionable resources from panelists and participants for all to take away. \nREGISTER for Part 2 \n  \nPart 3 – Personalization\, Privacy and AI \nPersonalization\, targeted content\, and questions of privacy have been points of discussions for years. Why then are the very people who touted the value of personalizing online experiences decrying the wickedness of generative AI? Google\, Facebook\, and even LinkedIn ply us with ads and content based on algorithms we will never see. In fact\, harnessing those algorithms to our benefit is the holy grail of marketers. We will discuss the high-level differences that make the considerations for generative AI and narrative chat a new\, and often concerning new tool in the hands of both good and bad actors. \nBring your questions\, ideas\, and resources/links if you have some!  All sessions in this series will provide actionable resources from panelists and participants for all to take away. \nREGISTER for Part 3 \n  \nPart 4 – Responsible AI And Associations’ Role In Defining The Ethics Of AI \nThe Responsible AI Manifesto states\, “We have to be willing to have the hard conversations now so that we do not ruin what can be one of the most transformative technological shifts in human history. As AI capabilities race forward\, leaders must clearly define their principles\, policies and procedures.”  How can associations – standards-bearers by design—lead the charge?  How should we start thinking about the ethics of AI\, starting at home in our own organizations?  \nBring your questions\, ideas\, and resources/links if you have some!  All sessions in this series will provide actionable resources from panelists and participants for all to take away. \nREGISTER for Part 4 \n  \n  \nLEARNING OBJECTIVES: \n\n– Gain an understanding of the risks and disruption Generative AI can cause\n– Learn how to incorporate AI into organizational governance\, strategy and change management\n– Get insights on how this impacts existing credentialing and professional education\n– Network with and learn from a panel of experts to take away actionable resources\n– Explore ways to lead stakeholders effectively in understanding Generative AI implications\n\n  \nTo Watch this Webinar on the Media Library CLICK HERE!
URL:https://usteducation.org/event/w453-the-true-implications-of-ai-for-the-association-industry-part-1-managing-the-risks-and-disruption-of-generative-ai/
LOCATION:https://zoom.us/j/93866748839
CATEGORIES:ASSOCIATIONS & NONPROFITS
ATTACH;FMTTYPE=image/png:https://usteducation.org/wp-content/uploads/2023/05/Part-1-.png
ORGANIZER;CN="Maddie Grant%2C CAE":MAILTO:maddie@propelnow.co
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DTSTART;TZID=America/New_York:20211006T110000
DTEND;TZID=America/New_York:20211006T123000
DTSTAMP:20260513T204931
CREATED:20220328T190428Z
LAST-MODIFIED:20220713T033343Z
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SUMMARY:W204: 3 Ways to Mine Your AMS Data to Create & Execute a Profitable Member Engagement Strategy (with Minimal Staff Time)
DESCRIPTION:You’re probably sitting on a goldmine of data and don’t even realize it. In fact\, now more than ever\, associations are collecting mountains of data but don’t have a data strategy to actively drive member growth. \nMany times\, association leaders feel as though they’re drowning in information with no real way to leverage it to solve their most pressing questions. Instead\, they get bogged down with worries about the data itself\, effectively blocking them from using it to help them increase growth and member retention. \nAsk yourself: Have I had one of these questions in the past 6 months? \n\nIs the data I have useful or even reliable?\nHow do I go about getting the data out of our systems in the first place?\nWith all this data (or “lack of data”)\, how do I use it to make change for the better?\nHow can I offer better courses\, incentives\, or services to my members?\nWhy are my members leaving? How can I get more of them to renew their membership?\nWhere can I cut costs? What systems or services are wasting time and money?\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\nLEARNING OBJECTIVES \n\n\n\nLearn why your members are leaving and how to get them to renew their memberships\nLearn how to offer better courses\, incentives\, or services to your members\nLearn how you can cut costs and what systems or services are wasting time and money
URL:https://usteducation.org/event/w204-3-ways-to-mine-your-ams-data-to-create-execute-a-profitable-member-engagement-strategy-with-minimal-staff-time/
LOCATION:Group Internet-Based
CATEGORIES:ASSOCIATIONS & NONPROFITS
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