Generation AI
Ardis Kadiu, Dr. JC Bonilla
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Top 10 Generation AI Episodes
Goodpods has curated a list of the 10 best Generation AI episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Generation AI for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Generation AI episode by adding your comments to the episode page.
05/13/25 • 31 min
In this insightful episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle Model Context Protocol (MCP), a new standardization that's gaining rapid adoption across the AI industry. They explain how MCP functions as a universal adapter between AI models and data sources, solving the "Frankenstein middleware" problem that makes building AI agents so complex today. The hosts break down why this matters for higher education professionals, how it reduces hallucinations by improving data access, and why major players like OpenAI, Google, and HubSpot are already implementing it. This episode offers critical insight into how standardization will make AI tools more useful and less complex for everyone.
What is Model Context Protocol (MCP)? (00:01:00)
- Introduction to MCP as a standardization protocol for AI agents
- Hosts explain MCP as a way to help AI access context and data
- The "three-legged stool" of AI agents: intelligence, context, and action
- MCP provides the standard for how agents communicate with data sources
MCP as the Universal AI Adapter (00:04:42)
- JC compares MCP to standardized protocols like TCP/IP and USB-C
- MCP sits between models like Claude or Gemini and various data sources
- It eliminates the need for custom connectors between each tool and AI model
- The protocol's simplicity as a minimal viable product (MVP) is key to its success
How MCP Works (00:07:03)
- MCP is a protocol, not an API, that describes format and flow
- "Discovery first" approach where AI asks "what can you do?"
- Uses JSON format for tools and data exchange
- Works both locally and remotely over HTTP
The Technical Benefits of MCP (00:13:14)
- Solves the "m by n headache" of needing separate connectors for each model-tool pair
- Reduces hallucinations by providing AI with reliable data sources
- Gives AI models access to specialized tools for tasks they struggle with
- Enables "grounding" in real data rather than making things up
Industry Adoption and Momentum (00:17:14)
- OpenAI, Google, HubSpot, LangChain and others already implementing MCP
- HubSpot's beta MCP server allows for direct CRM data access in Claude
- Growing availability for tools like Slack, Teams, and Zapier
- Discussion of how MCP layers on top of existing APIs
Practical Applications (00:20:36)
- Higher education examples: connecting LMS, advisor notes, financial aid systems
- Sales use case: AI agents accessing CRM data through MCP for follow-ups
- DevOps: AI monitoring logs, creating tickets, and managing communication
- Analytics: Connecting data sources, models, and reporting tools seamlessly
Challenges and Considerations (00:23:17)
- MCP requires widespread adoption to be truly effective
- Product teams must be convinced to implement it alongside existing APIs
- Possibility that another protocol might eventually win out
- Current technical hurdles for implementation that are being addressed
Call to Action for Listeners (00:26:03)
- Experiment with MCP servers that connect to Claude desktop
- For AI product builders: write MCP servers for your applications now
- Ask AI vendors: "Do you speak MCP?" as a signal of cutting-edge capability
- MCP as the new standard, comparable to asking "Do you have an API?"
Conclusion: The Future of AI Integration (00:29:14)
- MCP's architectural implications for more open, modular AI systems
- The need for agents to speak a common language across platforms
- Invitation for listeners to share which workflows they'll connect once MCP goes mainstream
- - -
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!
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!
01/08/24 • 56 min
Summary
In this episode, the hosts discuss the impact of AI on the workplace in 2024 and the necessary skills and tools to stay ahead. They explore the potential of generative AI to replace a significant portion of human hours worked and the shift in productivity that will result. The hosts also examine the adoption of AI in the workplace and the concerns surrounding job replaceability. They highlight the importance of AI literacy, prompt engineering, AI content curation, automation, and data analysis as crucial skills for working with AI. Additionally, they recommend various AI tools for general purpose, content creation, image generation, and video and audio production. In this conversation, Ardis and JC discuss various AI tools and their applications in different areas of work. They cover content creation tools, data and analytics tools, productivity tools, note-taking and meeting tools, presentation tools, automation and productivity tools. The conversation highlights the importance of AI literacy and the potential of these tools to enhance productivity and efficiency in the workplace.
Takeaways
- Generative AI has the potential to replace a significant portion of human hours worked in the US, leading to a shift in productivity.
- There is a generation gap in AI adoption, with younger generations more likely to use AI in their jobs compared to older generations.
- Companies need to focus on upskilling and retraining employees to be ready for AI rollouts, but most companies are currently not prepared.
- AI literacy, prompt engineering, AI content curation, automation, and data analysis are crucial skills for working with AI.
- Various AI tools, such as ChatGPT, Bard, Perplexity.ai, Jasper.ai, Canva, ElevenLabs, and Descript, can be used for different purposes in the workplace. AI tools can greatly enhance content creation, data analysis, productivity, note-taking, meeting management, presentations, and automation.
- Learning AI terminology and how AI systems work is essential for effectively using AI tools.
- Experimenting with different AI tools and workflows can lead to increased productivity and the ability to focus on higher-level tasks.
- AI tools are constantly evolving and improving, so staying updated and exploring new tools is important.
Specific AI Tools Discussed
- ChatGPT: The most important tool you can use in AI. Most people use the free version however the paid version opens up the ability to upload files, use vision, create images or analyze data.
- Bard (Google's AI tool): For content writing, integration with Google ecosystem
- Perplexity.ai: For research and synthesizing content. It can be a replacement for googling.
- Jasper.ai, Copy.ai: These tools can assist in blog post writing and social media copywriting. Copy.ai allows for workflows.
- Dalle-3 (OpenAI), MidJourney, Leonardo.ai: For image generation
- ElevenLabs and Suno AI: For audio generation and music creation
- Canva Studio: For AI-driven design
- Beautiful.ai, Gamma.app - AI presentations
- Descript: Video editing and creation (We use it at Element451).
- Hex: Data visualization and analysis
- Notion and Coda: AI integration in documentation and workflow
- TL;DV and Fireflies: AI tool for meeting recordings and note-taking
- Zapier and Make.com: For creating automated workflows and data transformation
- - -
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...
01/02/24 • 39 min
Explore the dynamic world of Generation Z as they interact with and shape the future of AI. Dive into their digital upbringing, unique perspectives, and the ethical implications of their deep integration with technology.
- Introduction:
- Hosts Ardis and JC share personal reflections on 2023 and set resolutions for 2024.
- Discussion on balancing work with self-care and family time.
- Tool: Perplexity.ai
- Upcoming Topics Overview:
- AI's impact on daily life, with a focus on specific AI-related topics in future episodes.
- Promises deep dives into conversational interfaces, battles of Large Language Models (LLMs), and the future of search and SEO.
- Gen Z and AI:
- Gen Z's characteristics: digital natives, gamers, and socially conscious.
- Their acceptance of technology and how they're driving AI adoption in education.
- Gen Z's unique relationship with AI, being the most accepting of technology to date.
- Discussion on Gen Z's skepticism about data privacy and ethical AI use.
- Data and AI Ethics in Gen Z's Perspective:
- Gen Z's openness to sharing data contrasted with concerns about ethical AI use.
- The challenge of ensuring AI reflects the diversity of its data sources.
- Addressing biases in AI and the need for diverse and current data to train models.
- Consumer Behavior of Gen Z:
- Gen Z's pragmatic financial mindset and preference for sustainable products.
- The influence of social media and influencers on Gen Z's purchasing decisions.
- The importance of brand ethics and social responsibility in attracting Gen Z consumers.
- AI and Personalization in Marketing to Gen Z:
- The rise of personalized marketing strategies to engage Gen Z.
- AI as a tool for creating personalized, authentic interactions at scale.
- The challenge of capturing Gen Z's attention within their short attention span.
- The Future of AI and Social Interaction:
- Predictions on how AI will reshape social interactions and consumer behavior.
- Gen Z's potential to redefine the future of work, education, and social engagement through AI.
- Conclusion and Look Ahead:
- Reflection on the digital proficiency of Gen Z and their impact on AI evolution.
- Preview of future episodes focusing on AI's role in education and recruitment.
- Closing thoughts on the intergenerational dynamics of AI adoption and usage.
- - -
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!
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
FERPA & AI: What Higher Ed Needs to Know
Generation AI
03/11/25 • 31 min
In this episode of Generation AI, Ardis Kadiu and Dr. JC Bonilla unpack FERPA—the Family Educational Rights and Privacy Act—and its critical role in protecting student data within AI-driven educational tools. They clarify common misunderstandings around FERPA compliance, specifically addressing the handling of AI-powered student engagement platforms, chatbots, and data security practices. Learn how institutions can effectively utilize AI while safeguarding student privacy and maintaining compliance.
Understanding FERPA Basics (00:00:07)
- Introduction of the topic based on questions from the AI Engagement Summit
- FERPA stands for Family Educational Rights and Privacy Act
- Federal law enacted in 1974 that protects privacy of student educational records
- Applies to institutions receiving US Department of Education funding
- Grants students (or parents of minors) rights regarding their educational records
What Constitutes Educational Records Under FERPA (00:07:33)
- Academic records including grades, transcripts, and course enrollment
- Personally identifiable information (PII) such as names, student IDs, birthdates
- Disciplinary records and counseling information
- Financial aid and billing information
- Student communications with advisers, faculty, and staff
- Institutions must maintain control and prevent unauthorized disclosure
FERPA Compliance for Engagement Tools (00:08:52)
- Student data must remain protected from unauthorized access
- Information cannot be used for unintended purposes outside institutional contracts
- Data must remain under the institution's control at all times
- The "school official exception" allows third-party vendors to access data
- Vendors must perform services the school would otherwise use its own staff for
- Schools must maintain direct control over records use and maintenance
Vendor Contracts and FERPA Compliance (00:13:01)
- Contracts must clearly state vendors act as school officials bound by FERPA
- Vendors cannot use student records outside the scope of their contracts
- Institutions must retain full control over how student data is accessed
- Importance of granular access controls and role-based permissions
- Vendors should not use student data to train AI models without specific permission
- Data minimization principles should be followed in all AI processes
Data Security Requirements (00:15:51)
- Encryption requirements for data in transit and at rest
- Importance of multifactor authentication
- Access logging to track who interacts with data
- Data deletion and retention policies must be clearly defined
- Vendors should have clear procedures for data deletion after contract ends
Audits and Compliance Monitoring (00:16:40)
- Vendors should comply with security and privacy standards
- Regular security audits and compliance reviews by third parties
- The importance of SOC 2 Type 2 certification as the gold standard
- Institutions' rights to conduct independent security audits
AI-Specific FERPA Concerns (00:18:50)
- Chatbots and AI assistants must follow proper verification protocols
- AI-powered tools must adhere to role-based access permissions
- Risks of using public AI tools like ChatGPT with student data
- Directory vs. non-directory information distinctions
- The dangers of uploading student data to non-FERPA compliant AI tools
AI Training and Data Use Risks (00:24:00)
- Many AI models store and use interactions for training
- Risks of unauthorized retention of student records
- Importance of checking data retention policies in AI tools
- Free versions of AI tools typically don't offer data protection options
- Paid versions may have data retention turned on by default
Element451's FERPA Compliance Approach (00:26:28)
- SOC 2 Type 2 compliance with third-party verification
- Data encryption in transit and at rest with additional field-level encryption
- Multifactor authentication enforcement
- Identity verification in AI chatbots before sharing any personal information
- No training on user data and anonymization of activity data
- Institution control over data deletion and visibility of all records
- AI inherits institutional security policies and access controls
Closing Thoughts (00:29:39)
- The importance of understanding FERPA in the AI context
- Building trust through proper compliance
- Addressing misinformation around FERPA and AI<...
Enrollify.org Relaunch: More Content, More Community
Generation AI
06/13/24 • 1 min
In this Bonus announcement, join Mallory, Chief Strategist of Enrollify, as she introduces the newly relaunched Enrollify.org. This episode highlights the fresh features and content now available on the site, emphasizing Enrollify’s commitment to revolutionizing higher education. Learn about the variety of resources—from podcasts to ourses to webinars—that can help professionals make impactful changes in their careers and institutions.
- - -
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.
Connect with Us at the Engage Summit:
Exciting news — Ardis will be at the 2024 Engage Summit in Raleigh, NC, on June 25 and 26, and would love to meet you there! Sessions will focus on cutting-edge AI applications that are reshaping student outreach, enhancing staff productivity, and offering deep insights into ROI.
Use the discount code Enrollify50 at checkout, and you can register for just $200! Learn more and register at engage.element451.com — we can’t wait to see you there!
Moving from Assistants to an AI Workforce
Generation AI
02/04/25 • 42 min
In this final episode of a three-part series, hosts JC Bonilla and Ardis Kadiu explore how AI is transforming the workplace in higher education. They discuss the emergence of AI as digital workers, examining how these systems are evolving from simple task automation to becoming integral team members. The hosts share insights on managing AI workers, the changing role of human employees, and what this means for the future of work in education. This episode offers valuable perspective for education professionals looking to understand and prepare for a workplace where humans and AI collaborate as teammates.
Series Recap and Context
- Introduction to the third episode on AI workforce evolution
- Overview of previous episodes on agentic systems and multi-agent frameworks
- Introduction of the TACO framework: Taskers, Assistants, Collaborators, Orchestrators
Understanding AI Workers
- Definition of AI workers as digital teammates
- Comparison between human employees and AI workers
- Discussion of how AI workers integrate into organizational structures
- Analysis of bottom-up approach to AI implementation
AI Worker Management
- Treating AI systems as employees with goals and performance metrics
- Importance of onboarding and training AI workers
- Need for continuous evaluation and maintenance
- Discussion of autonomous versus assisted AI work
Real-World Applications
- Example of AI admissions counselor implementation
- Analysis of how AI can handle application evaluations
- Discussion of automation in admission processes
- Comparison with traditional human evaluation methods
Management Hierarchy and AI
- Exploration of AI in management roles
- Discussion of complexity in decision-making
- Analysis of current limitations in AI management capabilities
- Future possibilities for AI in leadership positions
Human Role in AI Workplace
- Shift from task execution to strategic thinking
- World Economic Forum's Future of Jobs report insights
- Discussion of skills needed in AI-enhanced workplace
- Focus on human skills like emotional intelligence and creativity
Challenges and Considerations
- Governance and oversight requirements
- 24/7 productivity expectations and limitations
- Trust and accountability frameworks
- Need for continuous learning and adaptation
Future Outlook and Implementation
- IT as the new HR in managing AI workers
- Importance of reskilling existing workforce
- Discussion of hybrid human-AI collaboration
- Vision for future workplace dynamics
Closing Thoughts
- Summary of key takeaways
- Importance of embracing AI collaboration
- Call for audience engagement and feedback
- Looking ahead to future developments
- - -
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!
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
04/15/25 • 28 min
In this insightful episode of Generation AI, hosts JC Bonilla and Ardis Kadiu speak with Lev Gonick, CIO of Arizona State University, about how AI is reshaping higher education technology systems. Gonick shares ASU's innovative approach to AI implementation, discussing their transition from fragmented "Frankenstein" tech systems to a more integrated architecture using AI agents. He explains how ASU is already deploying orchestrated AI agents across campus operations - from parking to financial aid to classroom instruction - and offers a practical vision for how universities can adapt to this technological shift. This conversation is essential listening for higher education professionals looking to understand how AI can transform student experiences and institutional operations.
The Current State of University Technology Systems (00:00:25)
- Discussion of universities as technology "Frankensteins" with disconnected systems
- Gonick explains ASU's dual approach to AI: both as additional tools and as potential unifiers
- The challenge of balancing pragmatic immediate needs with long-term integration goals
- ASU's outlook on technology focuses on opportunity and abundance rather than scarcity
The Timeline for Technology Transformation in Higher Education (00:02:14)
- Gonick suggests the transition away from fragmented systems could take "a generation or two"
- ASU positions itself as an outlier and model for what a "new American university" can look like
- The importance of proving what's possible by implementing future-focused solutions today
- ASU's commitment to focusing on "the future today" rather than waiting for perfect solutions
ASU's Leadership in AI Implementation (00:03:45)
- Reference to ASU's publication documenting their AI journey with 40+ implementation stories
- Discussion of ASU's mindset that emphasizes growth and innovation
- Gonick quotes Alan Kay: "If you want to predict the future, invent it"
- ASU's philosophy: "If you want to invent the future, start" - emphasizing action over debate
AI's Transformation of Higher Education (00:05:33)
- Gonick argues AI represents a "tectonic shift" that will redefine not just how we teach but what we teach
- Many universities are stuck in an academic debate rather than testing and experimenting
- ASU's approach involves real-world testing while adhering to principles of innovation
- The need for agile, iterative approaches to AI implementation similar to software development
The Evolution from Generative AI to AI Agents (00:08:57)
- Reflection on the past year's progress from classroom-focused generative AI to agent-based systems
- Gonick suggests current generative AI implementations will eventually be seen as "prehistory"
- Discussion of how voice and video AI experiences may create economic value in education
- The emergence of "agentic" AI systems where multiple specialized agents work together
ASU's Current Work with AI Agents (00:11:35)
- ASU has developed approximately a dozen purpose-built AI agents for different functions
- These agents are now being orchestrated to work together rather than operating independently
- Examples include agents for syllabus creation, assessment, skills development, and career opportunities
- Discussion of the need for "Centurion" agents to ensure privacy, security and ethical use
AI Applications in Campus Operations (00:14:52)
- ASU is implementing agentic AI experiences in back-office operations like parking management
- Plans for teaching and learning agent implementations starting in August for the new school year
- Development of pedagogy agents that support different teaching methods (Socratic, case method, etc.)
- Financial aid navigation as another major area where AI agents are improving student and family experiences
The Digital Workforce and Organizational Change (00:20:49)
- Discussion of AI agents functioning as a "digital workforce" that requires management
- The need to rearchitect how work is done in university settings
- Human resistance to change as a major challenge in AI implementation
- ASU's approach to helping employees transition to new roles through upskilling and reskilling programs
The Near Future of AI in Higher Education (00:24:47)
- Discussion of the impact of politics and regulations on AI implementation
- ASU's view of challenges as opportunities and their focus on adaptability
- The concept of building "anti-fragile" institutions that not only survive disruption but thrive
- The importan...
In this information-packed episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore the revolutionary new ChatGPT image generation capabilities that have taken the internet by storm. They break down how this new native image generation differs from previous models, allowing users to create, modify and refine images through conversation. The hosts also cover significant recent AI developments including Google's Gemini 2.5 Pro, Anthropic's Model Context Protocol standard, and new educational initiatives from OpenAI and Claude. This episode gives higher education professionals critical insights into how these visual AI tools will transform marketing, teaching, and creative processes across campus.
Recent AI Updates and Developments (00:00:06)
- Introduction to the episode and upcoming Element451 presence at ASU GSV conference
- Brief mention of new AI releases coming from Element451
- Overview of recent major AI developments that will be discussed
Major Model Drops and Advances (00:03:13)
- Google's release of Gemini 2.5 Pro, a powerful reasoning and thinking model
- Discussion of its 1,000,000 token context window and coding capabilities
- Anthropic's Model Context Protocol (MCP) as a new standard for AI model connections
- Comparison to standardization moments like VHS/Betamax or USB connectivity
- How MCP simplifies integration with external tools and APIs
Open Source Models and Coding Advancements (00:09:11)
- DeepSeek v3 launch continuing the open source momentum
- Discussion of "vibe coding" and voice-based natural language programming
- The progression of open weights models (not fully open source)
- Google's Gemma 3, OpenAI's announced open weights model, and upcoming Llama 4
- How these models enable natural language "vibe coding" through better reasoning
AI Education Initiatives (00:13:53)
- OpenAI Academy launch for teaching AI skills and prompting techniques
- Claude for Education using Socratic methods to teach students how to learn
- Focus on pedagogy and learning rather than just providing answers
- Importance of AI literacy as models improve
ChatGPT Image Generation Revolution (00:18:06)
- Technical explanation of the new native image generation in GPT-4o
- How it differs from previous DALL-E integration by generating images pixel by pixel
- The ability to remember context and make incremental changes to images
- Comparison to the creative sketch-to-masterpiece process in art
Image Generation Examples and Capabilities (00:27:05)
- Transforming images into anime, Studio Ghibli style, or other artistic styles
- Image restoration, sharpening, and enhancement capabilities
- Converting rough sketches into polished marketing materials
- Creating consistent multi-panel comics or narratives
- Fashion coordination and outfit planning from wardrobe items
- Interior design applications by incorporating furniture pieces in rooms
- Creating travel journals and personalized visual memory books
Practical Applications in Education and Marketing (00:34:23)
- Educational uses for teachers creating customized visual aids
- Explaining complex concepts through dynamic illustrations for different learning styles
- Marketing prototyping and rapid campaign creation
- Storyboarding for entertainment and media production
- Product design acceleration and prototyping
Transformative Impact Across Industries (00:37:51)
- Filters becoming experiences with style transformations
- Easier creation of memes and visual communication
- Books and visual storytelling including children's books
- Improved slide presentations with conceptual images
- Personalizing stock photography with school colors and logos
- Remixing movie scenes in different styles
- Creating personalized advertisements at scale
- Enabling creatives to produce work faster and tell stories through visuals
Learning at Scale Through Visual AI (00:41:46)
- How educators can use these tools to reach diverse learners
- Making complex concepts accessible through visual adaptation
- Removing creative bottlenecks in education
- Final thoughts on the transformative potential of new vision models
- - -
Connect With Our Co-Hosts:
Ardis Kadiu
https://www.linkedin.com/in/ardis/
https://twitter.com/ardis
Dr. JC Bonilla
https://www....
04/22/25 • 45 min
In this eye-opening episode, Generation AI takes you inside the recent ASU+GSV Summit and AI Revolution Show in San Diego, where education and technology leaders gathered to address AI's impact on higher education. JC and Ardis break down how university presidents and tech executives are responding to what ASU leadership called an "AI Tsunami," sharing practical guidance on curriculum changes, institutional adaptation, and keeping humans at the center. The episode also examines the business side, analyzing how AI is driving EdTech consolidation, investment patterns, and market transformation. For anyone in higher education trying to make sense of AI's rapid changes, this episode provides both big-picture thinking and on-the-ground insights from those leading the charge.
The AI Revolution Landscape in Higher Education (00:00:00)
- Overview of ASU+GSV Summit and AI Revolution Show in San Diego
- Thousands of leaders gathered to discuss AI's impact on higher education
- Current challenges: declining public trust, cost pressures, value concerns
- ASU leadership describes the situation as an "AI Tsunami" requiring quick adaptation
Key Voices on Navigating the AI Era (00:02:30)
- C. Edward Watson (AAC&U) stressed that AI means major job change, not just loss
- Watson argues higher education must update curriculum now for AI literacy
- Warns against ineffective bans and detection tools, suggests adapting teaching methods
- Ted Mitchell (ACE) sees current disruption as a chance to build anew
- Mitchell emphasizes student success metrics and institutional data ownership
- Paul LeBlanc (Matter and Space) notes true innovation often comes from "unencumbered places"
- Views AI as both challenge and opportunity to rethink learning models
Strategic Leadership in the AI Transition (00:08:45)
- Lev Gonick (ASU) highlights IT leaders' role in managing the AI transition
- Stresses maintaining human-centered approaches despite rapid changes
- Sal Khan champions AI's potential to transform learning through personalized tools
- Michael Hansen (Cengage) warns that higher education must integrate AI to stay relevant
- Common thread: AI offers major potential but requires ethical frameworks
The Business of AI EdTech (00:15:20)
- Global education market worth over $7 trillion
- No EdTech company has broken the $20 billion mark yet
- M&A market looks strong for 2025 with stabilizing interest rates
- Private equity firms have record capital to invest, making EdTech attractive
- Market consolidation driven by both PE and strategic acquisitions
Investment Trends in Education AI (00:22:15)
- Key distinction between infrastructure AI (big models) and applied AI (workflow tools)
- Applied AI attracting significant funding with clearer paths to profits
- Element451's recent $175M investment cited as an example
- Tools for operations, compliance, and personalized learning gaining value
- Investors backing smaller companies disrupting older solutions
- Challenges include measuring true effectiveness when models change rapidly
Looking Ahead: The Future of AI in Higher Education (00:28:40)
- Successful AI integration requires both vision and market viability
- Tension between rapid adoption and real-world barriers (faculty readiness, data gaps)
- Future focus areas include better data management and governance
- Growing demand for proof of effectiveness beyond initial hype
- Continued investment expected in practical AI applications
- Workforce alignment remains a dominant driver for AI adoption
- Open question: Can AI fulfill its promise to democratize 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!
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...
AI's Sputnik moment + Deepseek, CSU partners with OpenAI, ChatGP Operator + Deep Research
Generation AI
02/11/25 • 43 min
In this packed episode of Generation AI, hosts Ardis Kadiu and Dr. JC Bonilla break down three major developments shaking up AI in higher education. They analyze California State University's groundbreaking partnership with OpenAI to provide ChatGPT Enterprise to over 500,000 students across 23 campuses. The hosts also dig into DeepSeek's stunning $6 million AI model that's disrupting the market and sparking what some call AI's "Sputnik moment." Finally, they explore OpenAI's latest innovations including Operator and Deep Search, showing how these AI agents are transforming research and automation. This episode offers essential insights for higher education professionals trying to understand how these rapid AI developments will impact their institutions.
CSU's Game-Changing OpenAI Partnership (00:01:36)
- Partnership brings ChatGPT Enterprise to 500,000+ students across 23 campuses
- Creation of AI Common Hub for centralized tools and training
- Focus on faculty empowerment and workforce development through AI
- Implementation challenges across a large, distributed system
The Past Three Weeks in AI (00:13:23)
- Discussion of recent developments in AI technology
- Analysis of rapid acceleration in AI capabilities
- Impact on higher education and institutional adoption
DeepSeek: AI's Sputnik Moment (00:13:55)
- Introduction of DeepSeek's new AI model and its capabilities
- Analysis of the $6 million training cost breakthrough
- Discussion of geopolitical implications and US-China AI competition
- Explanation of open source model vs. hosted service distinctions
OpenAI's New Agent Technologies (00:25:11)
- Introduction of OpenAI's scheduled tasks feature
- Analysis of Operator: AI-powered browser automation
- Discussion of security and trust considerations
- Real-world applications in higher education
Deep Search: The Research Revolution (00:34:52)
- Detailed breakdown of OpenAI's Deep Search capabilities
- Comparison with Google's Gemini Deep Research
- Real-world example of ICP research automation
- Cost-benefit analysis of AI research tools
- Impact on academic and professional research
Looking Ahead: AI in Higher Education (00:41:11)
- Discussion of future implications for institutions
- Integration challenges and opportunities
- Importance of AI literacy and training
- Upcoming AI Engaged Summit announcement
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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!
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!
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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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FAQ
How many episodes does Generation AI have?
Generation AI currently has 84 episodes available.
What topics does Generation AI cover?
The podcast is about Tech, Ai, Podcasts, Technology, Education, Artificial Intelligence and Higher Ed.
What is the most popular episode on Generation AI?
The episode title 'Rethinking University Websites: The Future of AI-Powered Knowledge Discovery' is the most popular.
What is the average episode length on Generation AI?
The average episode length on Generation AI is 38 minutes.
How often are episodes of Generation AI released?
Episodes of Generation AI are typically released every 7 days.
When was the first episode of Generation AI?
The first episode of Generation AI was released on Dec 14, 2023.
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