Generation AI

By: Ardis Kadiu Dr. JC Bonilla
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  • Summary

  • GenerationAI is the groundbreaking podcast designed exclusively for higher education professionals who are keen to navigate the dynamic world of Artificial Intelligence. In a landscape where AI is rapidly transforming how we teach, learn, and engage, "GenerationAI" serves as your essential guide. Each episode delves into the most pressing AI topics, breaking down complex concepts into understandable, actionable insights. Whether you're a marketer, administrator, or tech enthusiast, this show will illuminate how AI is reshaping the academic experience and what it means for the future of education. Join us as we explore the latest news, trends, and developments in AI. From data-driven decision-making to personalized engagement and learning experiences, and the ethical implications of AI in education, "GenerationAI" covers it all. With expert commentary, in-depth analysis, and a focus on practical applications, this show is dedicated to empowering higher education professionals to leverage AI for strategic advantage. "GenerationAI" isn't just about understanding AI – it's about being part of the AI revolution in education. Tune in, get informed, and be inspired to innovate in your educational space with the power of AI.
    2024 Generative AI - Enrollify Network
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Economics
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Episodes
  • AI vs. Application Fraud: Protecting Admissions from Digital Deception

    AI vs. Application Fraud: Protecting Admissions from Digital Deception
    Nov 26 2024
    In this episode of Generation AI, hosts Ardis Kadiu and JC Bonilla, joined by CTO Petar, explore the growing challenge of college application fraud and Element451's innovative AI solution. They discuss how fraudulent applications impact institutions through resource theft, financial aid abuse, and system manipulation. The conversation reveals how Element451's new AI-powered fraud detection system uses behavioral data and LLM reasoning to identify suspicious applications while avoiding demographic bias. The team explains their approach of keeping humans in the loop while using advanced technology to process applications at scale.Introduction and Context (00:00:07)Hosts Ardis Kadiu and JC Bonilla welcome special guest PetarDiscussion focuses on college application fraud detectionElement451's development of AI-powered solutionUnderstanding Application Fraud (00:02:26)Impact on non-selective institutions and community colleges without application feesFraudulent applications seeking .edu email addresses for free resourcesFinancial aid fraud through fake applicationsMultiple levels of fraud affecting institutionsManual review process becoming overwhelming for schoolsCurrent Detection Methods and Challenges (00:05:05)Discussion of sophisticated fraud schemes beyond simple automationFraudsters using real data and identity theftVPN usage to mask locationsCurrent manual review processes and their limitationsTime constraints in application review during peak seasonsElement451's AI Solution: Bolt AI (00:10:16)Introduction to Bolt AI as Element451's AI frameworkMultiple factors considered in fraud detectionBehavioral data analysis approachFocus on non-demographic indicators to prevent biasKey Detection Factors (00:12:21)Time to submission analysisApplication submission patternsIP address verification and VPN detectionEmail validation and bounce rate checkingGeographic location analysisCross-system duplicate detectionAI Implementation and Reasoning (00:21:13)Use of Large Language Models (LLMs) for reasoningAdvantage over traditional rule-based systemsExplainable AI decisions with detailed reasoningProcessing of 60,000 applications in initial weeksHuman feedback integration for system improvementBias Prevention and Fair Evaluation (00:32:33)Focus on behavioral data rather than demographic informationHuman-in-the-loop approach for final decisionsImportance of transparency in decision-makingFeedback collection for system refinementOperational Impact (00:38:18)Creation of separate workflows for high-risk applicationsQuarantine system for suspicious applicationsBalance between fast processing and securityResource protection and cost savingsImproved student experience through faster legitimate application processingFuture Developments (00:42:55)Plans for generative UI in student experienceDevelopment of proactive AI systemsEnhanced personalization capabilitiesIntegration with student hubDynamic workflow planning based on student behaviorBenefits and Innovation (00:46:18)Improved data integrity in application processingTransparent decision-making processEnhanced speed without compromising securityBetter resource allocation for legitimate applications - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Some of our favorites include The EduData Podcast and Visionary Voices: The College President’s Playbook.Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com. Attend the 2025 Engage Summit! The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
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    49 mins
  • Beyond the Limits: How AI Models Are Redefining Capabilities

    Beyond the Limits: How AI Models Are Redefining Capabilities
    Nov 19 2024
    In this episode of Generation AI, hosts Ardis Kadiu and JC Bonilla explore the intricate world of AI scaling in higher education. They break down the concept of scaling, from its foundational components to its implications for AI development and implementation. Drawing on real-world examples, they delve into the triad of model size, data, and computational power, and discuss challenges like data scarcity, computational limits, and diminishing returns. The episode also offers insights into how industry leaders like OpenAI, Google, and Meta are tackling these roadblocks.‍Key TakeawaysAI Scaling Defined: Scaling in AI refers to how efficiently and effectively models can accomplish tasks of increasing complexity, measured by speed and intelligence.The Triad of AI Scaling: Model size, data quality, and computational power are the key elements driving AI advancements.Challenges in AI Scaling:Data scarcity, particularly for high-quality, domain-specific datasets.Skyrocketing computational costs and energy requirements.Diminishing returns as larger models yield less exponential improvement.Mitigation Strategies: Techniques like synthetic data generation, hyperparameter tuning, and reasoning-focused models address scaling challenges.Future of AI Models: Companies are shifting focus from generalist models to domain-specific and reasoning-oriented solutions.‍What Does AI Scaling Mean?AI scaling refers to how effectively artificial intelligence can solve increasingly complex tasks. Hosts Ardis Kadu and JC Bonilla explain this through a lens of "smartness"—can a model achieve in minutes, hours, or days what humans might take weeks to accomplish? Scaling doesn’t just mean faster; it also means smarter. For example, GPT-4 is 10 times more capable than GPT-3.5 in many areas, but the diminishing returns of scaling larger models have prompted researchers to rethink strategies.‍What Are the Key Challenges in Scaling AI?The conversation explores three primary challenges in scaling AI:Data Scarcity: High-quality training data is increasingly hard to source. While earlier models relied on vast amounts of freely available online data, this resource has been largely exhausted. Additionally, domain-specific datasets, like those in healthcare or education, are often inaccessible or proprietary.Computational Costs: Training large models costs hundreds of millions—and soon billions—of dollars. Companies face challenges balancing the need for immense computing power with energy efficiency and sustainability.Diminishing Returns: As models grow, they require exponentially more computational resources to achieve only incremental improvements in performance. This raises questions about whether scaling efforts are sustainable.‍How Are Companies Tackling Scaling Challenges?The podcast highlights how leading tech companies are approaching these roadblocks:OpenAI: Focuses on reasoning-based models and test-time compute, allowing AI to think dynamically during task execution.Google: Invests in multimodal capabilities and domain-specific applications, such as its advancements in protein folding and specialized coding models.Meta: Explores alternative architectures and world models, aiming to overcome the limitations of transformer-based AI systems.XAI (Elon Musk's Initiative): Prioritizes "truth-seeking" AI and first-principles problem-solving.‍What Role Do Mitigation Strategies Play?To address the challenges of scaling, companies and researchers are leveraging innovative strategies, including:Synthetic Data Generation: Creating artificial datasets to fill gaps in training data.Hyperparameter Tuning: Optimizing how models learn to improve efficiency.Reasoning-Based Models: Enhancing AI’s ability to think and adapt dynamically during real-time tasks.The hosts share how these approaches are unlocking new possibilities for AI in higher education. For instance, at Element, reasoning-focused AI is being used to identify fraudulent applications by analyzing behavioral patterns and contextual data.‍What Does the Future Hold for AI Scaling?The episode closes with a discussion of where AI is headed. The hosts emphasize that while scaling generalist models may slow, there’s growing momentum around domain-specific applications and reasoning engines. These advancements could revolutionize fields like marketing attribution, student engagement, and personalized learning in higher education. - - - -Connect With Our Co-Hosts:Ardis Kadiuhttps://www.linkedin.com/in/ardis/https://twitter.com/ardisDr. JC Bonillahttps://www.linkedin.com/in/jcbonilla/https://twitter.com/jbonillxAbout The Enrollify Podcast Network:Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Some of our favorites include The EduData Podcast and Visionary Voices: The College President’s Playbook.Enrollify is made possible by Element451 — the next-generation AI student ...
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    41 mins
  • Post election AI agenda, Chegg's ChatGPT nightmare, Tech consolidation ahead

    Post election AI agenda, Chegg's ChatGPT nightmare, Tech consolidation ahead
    Nov 12 2024

    In this timely episode of Generation AI, hosts Ardis Kadiu and Dr. JC Bonilla examine how the recent election results could reshape AI's role in higher education. They analyze potential shifts in AI regulation, funding, and innovation under the new administration. The hosts explore how changes in merger policies and efficiency mandates might accelerate AI adoption, while also discussing the cautionary tale of Chegg's dramatic market value loss due to ChatGPT's emergence. This episode offers crucial insights for education professionals navigating the rapidly evolving intersection of politics, AI, and higher education.

    Election Impact on AI Regulation (00:00:07)

    • Introduction of key themes around election results
    • Expected rollback of Biden's AI executive order
    • Shift toward less regulation and oversight of AI development

    Mergers and Innovation in AI (00:07:14)

    • Discussion of potential changes to merger regulations
    • Impact on AI company acquisitions and innovation
    • Analysis of how reduced regulation could benefit AI startups

    Efficiency and Government Reform (00:16:16)

    • Role of AI in government efficiency initiatives
    • Analysis of FAFSA implementation failures
    • Discussion of potential Department of Education reforms

    AI and National Competition (00:24:31)

    • Meta's LLAMA model licensing changes for government use
    • Discussion of US-China AI competition
    • Analysis of semiconductor regulations and AI compute power

    The Chegg Case Study (00:28:44)

    • Detailed analysis of Chegg's market collapse
    • Impact of ChatGPT on education technology
    • Loss of $14.5 billion in market value
    • Failed attempts at AI adaptation

    Future of Educational Content (00:37:26)

    • Discussion of AI's impact on learning management systems
    • Analysis of content generation in education
    • Implications for service providers and agencies
    • Examples of new AI-powered learning platforms

    Closing Thoughts (00:41:13)

    • Summary of key points about AI under new administration
    • Discussion of accelerated technology adoption
    • Final insights on AI's future in education


    - - - -

    Connect With Our Co-Hosts:
    Ardis Kadiu
    https://www.linkedin.com/in/ardis/
    https://twitter.com/ardis

    Dr. JC Bonilla
    https://www.linkedin.com/in/jcbonilla/
    https://twitter.com/jbonillx

    About The Enrollify Podcast Network:
    Generation AI is a part of the Enrollify Podcast Network. If you like this podcast, chances are you’ll like other Enrollify shows too! Some of our favorites include The EduData Podcast and Visionary Voices: The College President’s Playbook.

    Enrollify is made possible by Element451 — the next-generation AI student engagement platform helping institutions create meaningful and personalized interactions with students. Learn more at element451.com.

    Attend the 2025 Engage Summit!
    The Engage Summit is the premier conference for forward-thinking leaders and practitioners dedicated to exploring the transformative power of AI in education. Explore the strategies and tools to step into the next generation of student engagement, supercharged by AI. You'll leave ready to deliver the most personalized digital engagement experience every step of the way.

    Register now to secure your spot in Charlotte, NC, on June 24-25, 2025! Early bird registration ends February 1st -- https://engage.element451.com/register
    Show more Show less
    44 mins

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