Model Context Protocol (MCP): Making AI Agents Talk to Your Data

Generation AI

Player FM - Internet Radio Done Right

הוסף לפני one שנה

תוכן מסופק על ידי Enrollify, Ardis Kadiu, and Dr. JC Bonilla. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Enrollify, Ardis Kadiu, and Dr. JC Bonilla או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

<div class="span index">1</div> <span><a class="" data-remote="true" data-type="html" href="/series/fixable">Fixable</a></span>

1
Fixable

בטל רישום

לפני 4 ימיםלפני 4d ago

בטל רישום

שבועי

Frances Frei is a Harvard Business professor. Anne Morriss is a CEO and best-selling author. Anne and Frances are two of the top leadership coaches in the world. Oh, did we mention they're also married to each other? Together, Anne and Frances move fast and fix stuff by talking to guest callers about their workplace issues and solving their problems – in 30 minutes or less. Both listeners and guests will receive actionable insights to create meaningful change in the workplace – regardless of their position on the company ladder. If you want to be on Fixable, call our hotline at 234-Fixable (that's 234-349-2253) to leave Anne and Frances a voicemail with your workplace problem. Hosted on Acast. See acast.com/privacy for more information.

לפני שנה 31:07

MP3•בית הפרקים

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!
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

88 פרקים

#Tech #Enrollify #Ardis Kadiu #Dr. JC Bonilla #Artificial Intelligence #Higher Ed #Higher Ed Ai #Higher Ed Tech #Technology #Business #Podcasting Education

Model Context Protocol (MCP): Making AI Agents Talk to Your Data

Generation AI

published לפני שנה

שתפו

MP3•בית הפרקים

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!

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

88 פרקים

#Tech #Enrollify #Ardis Kadiu #Dr. JC Bonilla #Artificial Intelligence #Higher Ed #Higher Ed Ai #Higher Ed Tech #Technology #Business #Podcasting Education

כל הפרקים

1
CEO insights on AI transformation, Speed as the new moat, OpenAI hits $10B, Meta buys Scale AI, Apple's AI struggles 41:32

לפני 3 ימים41:32

41:32

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu explore what it means to build truly AI-native organizations. Fresh from a CEO conference, Ardis shares critical insights about how AI-first companies are fundamentally different from traditional SaaS businesses. They break down the major AI news of the week, including OpenAI's milestone of hitting $10 billion in annual revenue, their 80% price drop on the O3 Pro model, Meta's strategic acquisition of Scale AI, and Apple's continued struggles with AI integration at WWDC. The discussion focuses on why legacy companies face serious headwinds while AI-native organizations achieve non-linear growth through speed and efficiency. This episode is essential listening for higher education leaders who need to understand how AI transformation goes beyond adding chatbots - it requires rethinking your entire operational model and organizational culture. Recent AI News Roundup (00:00:32) OpenAI reaches $10 billion annual recurring revenue milestone O3 Pro model pricing drops 80% while delivering superior reasoning capabilities Meta's strategic acquisition of Scale AI to accelerate path to AGI Apple's disappointing WWDC showing with continued AI integration delays Defining AI-Native Organizations (00:13:37) AI-native as organizational fabric, not a checkbox feature Every process designed assuming AI is always on and learning Fundamental difference from traditional SaaS companies adding AI wrappers The journey from SaaS to cloud to AI-first to AI-native Traditional SaaS Company Headwinds (00:18:07) Linear scaling model requiring more humans for growth Increasing customer acquisition costs in saturated markets Legacy code bases preventing rapid AI integration "This is how we've always done it" mentality blocking transformation AI-Native Company Advantages (00:26:19) Non-linear growth with minimal headcount (Cursor's 500M ARR example) Speed as the primary competitive moat Reduced dependency on human resources for scaling Built-in agility enabling faster product innovation and iteration Beyond Insights to Action (00:31:45) Moving from dashboards to prescriptive actions AI telling you what to do next, then doing it for you Consumer expectations shaped by Amazon-like experiences and ChatGPT interactions Anchoring effect making static solutions appear outdated Organizational Transformation Requirements (00:36:26) AI literacy must be distributed across entire organization, not siloed Avoiding two-class employee systems that create culture clashes Individual responsibility to seek AI-forward organizations Daily compounding effect approach rather than overnight transformation Cultural and Human Factors (00:39:33) Leadership must model AI-first behavior daily Gradient approach to transformation with consistent progress Employee upskilling essential for career viability Organizational DNA change required for true AI-native status - - - - 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…

1
AGI Timeline 2029: What Happens When AI Surpasses Human Intelligence? 1:08:06

לפני 10 ימים1:08:06

1:08:06

Forget everything you think you know about AI timelines. The world's top AI labs now say AGI—artificial intelligence that surpasses humans at all tasks—is 5 years away, not 50. ChatGPT's 800 million users was just the beginning. When AI can teach better than any professor, diagnose better than any doctor, and code better than any developer, what happens to human work? To education? To you? This isn't futurism—it's a timeline shock that's sending universities into crisis mode. The race to AGI is on, and if you're not preparing now, you're already behind. Opening: From Basketball to AGI's Moon Shot (00:00:00) The Knicks' 25-year drought as metaphor for timeline compression AGI as "today's moon shot" with labs racing at full throttle The shift from "will AI get smart?" to "AI is already outthinking us" The Context: Why This Matters Today (00:04:21) ChatGPT's explosive growth: 800 million users in under 3 years—history's fastest tech adoption Current AI still "narrow"—brilliant but limited like a writer who can't do math Sam Altman's bombshell: "We now know how to build AGI" Why education leaders need to understand this shift immediately What Is AGI and How Is It Different? (00:11:33) The specialist doctor vs. Leonardo da Vinci comparison AGI capabilities: learns without training, transfers knowledge, solves new problems OpenAI's definition: outperforms humans at most economically valuable work Google DeepMind's bar: matching Einstein's scientific breakthroughs Machines shifting from assistants to peers—or superiors The Timeline Shock: Why Now? (00:20:54) Sam Altman: AGI by 2029 (current presidential term) Dario Amodei: AI outsmarts humans by 2026 2,778 AI researchers: median prediction now 2047, down 13 years in one year 10% chance of AGI by 2027—"Would you board that plane?" Compute growing 10x yearly, costs down 99.7%, $212 billion invested in 2024 What This Means for the Knowledge Economy (00:27:23) 80% of US workforce faces task disruption—all wage and education levels Not just blue-collar: lawyers, doctors, engineers, executives all impacted McKinsey already cutting 10% workforce, replacing with AI The paradox: GDP could 10x while jobs disappear GitHub Copilot at 77,000 organizations, growing 180% yearly The Education Paradox (00:33:02) Universities' three pillars: knowledge transfer, certification, community AGI breaks the first two completely When AI teaches perfectly for free, "what's a lecture for?" When AI outperforms any graduate, "what's a diploma for?" Chegg's stock crash, coding bootcamps struggling, MBA programs questioning value Three Futures for Universities (00:40:06) Human-Edge College: Small seminars, mentorship, emotional intelligence, ethics Research Steward: Ethical guardians of AGI, independent from profit motives Lifelong Learning Platform: Continuous upskilling partner using AI at scale The shift from information delivery to human development Year One Projection: The AI Teammate Era (00:48:29) AI agents as actual teammates handling meetings, reports, decisions Students using AI regardless of policies—adaptation isn't optional Schools must decide how to integrate, not whether The institutions experimenting now vs. those falling behind Year Five Projection: The Hybrid Intelligence Era (00:50:01) 2030: Seamless human-AI collaboration across all knowledge work New jobs emerge: AI psychologists, algorithm auditors, team coordinators Every student with 24/7 personalized AI tutor Professors transform into coaches, degrees become competency-based Year Ten Projection: Abundance or Inequality (00:52:51) Best case: Monthly scientific breakthroughs, disease prevention, climate solutions Worst case: Mass unemployment, extreme inequality, human purpose crisis Larry Ellison's $600B Stargate project for personalized medicine Education's new role: helping humans find meaning when machines do the work The Call to Action: Lead or Be Led (00:59:37) Change is coming faster than anyone thinks—decades are now years Start experimenting immediately—not next semester, now Focus on uniquely human qualities: empathy, creativity, ethical reasoning Universities must become thought leaders, not bystanders "The future isn't fixed—we decide if AGI amplifies or replaces us" - - - - 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…

1
Dear Class of 2025: You're Competing with AI for Your First Job 44:56

לפני 17 ימים44:56

44:56

In this eye-opening episode of Generation AI, hosts Ardis Kadiu and JC Bonilla tackle the harsh reality facing the Class of 2025 - the first graduating class in human history competing directly with AI for entry-level jobs. With college graduate unemployment hitting 6% (exceeding the national average for the first time in 45 years), they explore how AI is fundamentally reshaping the job market. The hosts analyze reports from CBS News and SignalFire, discuss Anthropic CEO Dario Amodei's stark prediction of 20% unemployment, and offer practical advice for new grads navigating this unprecedented shift. This episode is essential listening for students, parents, educators, and anyone concerned about how AI is transforming the path from education to employment. The First Generation Competing with AI (00:00:00) Setting up the paradox: greatest productivity explosion yet most uncertain future for graduates Every generation gets a defining technology - this one gets AI 4 million Americans graduating into the tightest labor market competing with AI Unprecedented Graduate Unemployment Crisis (00:05:52) College graduate unemployment hits 6% vs 4.2% national average First time in 45 years graduates face higher unemployment than general population Average student loan debt of $37,000 creating impossible catch-22 Entry-level positions requiring 3-5 years experience Tech Industry Restructuring and Entry-Level Freeze (00:10:20) Microsoft, Google, Meta, Amazon freezing entry-level programming positions Tech companies posting record profits while eliminating junior roles Tech as historic engine of economic mobility now stalling Parents questioning if STEM degrees still matter Dario Amodei's 20% Unemployment Warning (00:19:51) Anthropic CEO predicts unemployment rivaling Great Depression 80% of code to be written by AI within two years Discussion of hyperbole vs reality in AI predictions GDP growth implications and historical context All In Podcast Insights: New Grads as "Autocomplete of the Past" (00:25:00) Chamath's analogy: new grads were human autocomplete, AI does it better Young + AI-native = hireable vs old + resistant = obsolete Solution: start companies, join startups, or get left behind Every revolution creates more than it destroys Universities at a Crossroads (00:28:48) Education as expensive trap vs great equalizer debate Curriculum development pressure and credential inflation Universities' slow response but emphasis on critical thinking Alternative paths (bootcamps, certificates) under pressure Practical Advice for New Graduates (00:34:22) Double down on becoming AI-native - use every tool, automate everything Skip Fortune 500s - target Series A startups or start your own Embrace controlled chaos - job security is dead, adaptability is key Find human + AI roles, not human vs AI positions Interview question tip: ask how they use AI personally The Great Experiment with No Control Group (00:39:06) Running an unprecedented experiment on an entire generation Class of 2025: lost generation or first AI generation? Old path closing for students, revolution or irrelevance for educators Everyone must be an active participant, not passive observer Industrial revolution parallels and being part of history - - - - 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…

1
Windows goes agent-first, Google AI Mode lands, Veo 3 kills Hollywood, Ive + OpenAI $6.5B deal, Claude 4 hits 47:56

לפני 24 ימים47:56

47:56

In this news-packed episode, JC and Ardis break down the major AI announcements from Microsoft Build, Google I/O, OpenAI's acquisition of Jony Ive's company, and Anthropic's Claude 4 launch. They explore how Microsoft is transforming Windows into an agent-first platform with MCP integration, Google's massive push into AI applications with Veo 3 video generation and AI search mode, OpenAI's $6.5 billion move into hardware design, and Anthropic's new Claude 4 model focused on advanced coding. The hosts discuss what these developments mean for higher education professionals and how each tech giant is positioning itself differently - Microsoft as the agent OS, Google as the AI dev layer, OpenAI owning AI interfaces, and Anthropic delivering the agent brain. Introduction and Overview (00:00:00) Rapid-fire week of AI announcements from major tech companies Microsoft Build, Google I/O, OpenAI hardware moves, and Anthropic Claude 4 Each company positioning differently in the AI ecosystem Microsoft Build 2025: Windows Goes Agent-First (00:02:55) Windows AI Foundry emerges as toolkit for building AI agents Adoption of Model Context Protocol (MCP) for multi-agent orchestration Windows Recall bringing memory and context to AI assistants Copilot Studio for building agents across Microsoft ecosystem NLWeb transforms websites into conversational interfaces for AI agents Google I/O: The AI Application Layer Push (00:11:46) Gemini models show 50x increase in usage year-over-year Introduction of Gemini 2.5 Flash and Pro with deep thinking mode LearnLM: Fine-tuned models specifically for education Veo 3: Revolutionary AI video generation with synchronized audio ImageGen 4 for advanced image generation Flow: AI-powered filmmaking tool for creating scenes and characters NotebookLM now creates video overviews from concepts Google AI Search Mode: The SEO Game Changer (00:24:49) Structured answers replacing traditional blue links Mobile search with video and image capabilities Major implications for website traffic and SEO strategies Competition with Perplexity and ChatGPT search Shift in user behavior toward deep research queries OpenAI Acquires Jony Ive's Company IO (00:33:25) $6.5 billion acquisition brings iPhone designer to OpenAI Focus on ambient intelligence and AI-first physical devices Moving beyond software to hardware interfaces Potential for revolutionary AI device design The evolution from productive to hedonic technology Anthropic Launches Claude 4 (00:41:26) Advanced reasoning and coding proficiency improvements Positioning as one of the most capable coding models Enhanced agent use capabilities Deep reasoning for complex problem-solving Expansion of API to support MCP integration MCP: The Universal Protocol Connecting Everything (00:43:48) All major players adopting Model Context Protocol Microsoft, Google, OpenAI, and Anthropic supporting MCP Simplifying integrations between AI systems Creating the "HTTP for agents" to communicate Major implications for building connected AI ecosystems Key Takeaways and Future Implications (00:46:18) Microsoft building the agent operating system Google creating the AI development layer OpenAI focusing on AI interfaces and hardware Anthropic delivering the agent brain All working toward AI systems that live, think, and work across everything - - - - 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…

1
AI Didn't Break Education - It Exposed the Cracks 52:51

לפני 4 weeks52:51

52:51

In this thought-provoking episode of Generation AI, hosts Dr. JC Bonilla and Ardis Kadiu welcome special guest Michael McGetrick, a veteran educator and creative technologist, to explore how AI is transforming teaching and learning. They discuss the urgent question facing educators today: what is AI doing to student learning? The conversation examines how AI is exposing existing cracks in educational systems rather than breaking them, highlighting a "relevance crisis" rather than a "cheating crisis." From redesigning assessment methods to understanding how AI enhances skill-based learning, the hosts share research findings and personal experiences about the real impact of tools like ChatGPT in education, and how students and educators can adapt to this new reality that's already here. AI's Impact on Teaching and Learning Today (00:00:00) AI is exposing existing cracks in educational systems rather than breaking them Introduction to the urgent questions facing educators, parents, and technologists The shift from AI as the future of education to AI as the present reality Introduction to Mike McGetrick and His Course (00:02:23) Mike McGetrick joins as a guest expert - principal at Spark451, veteran educator, and creative technologist The hosts establish their educational backgrounds and experiences Mike shares his experience teaching a generative AI course at Brooklyn College Designing a Curriculum for Generative AI (00:05:27) How Mike approached creating a curriculum from scratch for teaching AI in design Balancing traditional design principles with new AI tools The importance of building a foundation of knowledge while integrating AI tools The Time-to-Value Shift in Learning (00:07:48) Students can now apply principles in minutes rather than over weeks How immediate application affects the learning process Teaching students to think about design elements as "data features" for prompts The "Cheating" Controversy in Education (00:12:25) Discussion of the viral New York Magazine article about students using AI The concept of "cheating" versus utilizing available tools How traditional assessment methods are becoming outdated Redefining Learning Through Outcomes (00:17:52) Focus on quality of output rather than effort or "the grind" The balance between mental health concerns and educational standards The importance of learning through struggle and growth The Relevance Crisis in Higher Education (00:27:59) AI didn't break education - it exposed how outdated it already was The need for education to adapt to modern skills and outcomes How higher education needs to evolve to remain relevant Research Findings on AI's Impact on Learning (00:29:23) Discussion of 51 studies on ChatGPT's effect on learning Learning performance shows significant improvement with AI after 4-8 weeks Moderate effects on concept learning and higher-order thinking AI as Coach Rather Than Answer Provider (00:36:54) The importance of using AI as a thinking partner Concern about students not building foundational knowledge The need to teach students about their own learning process AI in the Workforce (00:40:59) The growing emphasis on AI skills in the workplace CEOs requiring employees to use AI as part of their jobs Debate on whether specialists or generalists will thrive in an AI-driven workplace Closing Thoughts: A Path Forward (00:49:17) Suggestion for a new course on "My Learning Journey" to help students understand how learning happens Understanding the learning process as crucial for deciding how to use AI effectively The transformation of education and embracing the changes ahead - - - - 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…

1
Model Context Protocol (MCP): Making AI Agents Talk to Your Data 31:07

לפני 5 weeks31:07

31:07

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! 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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The Vibe Coding Revolution 52:42

לפני 6 weeks52:42

52:42

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu examine the growing phenomenon of "vibe coding" - a new AI-powered approach to software development that allows anyone to create functional applications by simply describing what they want in natural language. They discuss how tools like Lovable, Cursor, and Replit are making it possible to build complex, multi-file projects in minutes without writing a single line of code. Through live demonstrations, they show how this technology is making software development accessible to non-programmers while also exploring the potential impacts, benefits, and risks for higher education institutions. Introduction to Vibe Coding (00:00:06) Definition of vibe coding as a new paradigm in software development How developers can create applications through natural language prompts Origins in February 2023 with Andrew Karpathy's tweet about this approach The paradigm shift from traditional coding to conversation-based development The Evolution of Vibe Coding Tools (00:04:03) The meaning behind the term "vibe" - describing the output and guiding the process How vibe coding differs from AI code assistants Overview of leading tools including Cursor, Lovable, Replit, and Claude Artifacts The rapid growth of companies like Cursor (reaching $300 million in revenue) How Vibe Coding Works in Practice (00:10:31) The workflow: describe what you want, AI generates code, review, refine Demonstration of multifile project capabilities How developers at Element451 are incorporating these tools Building integrations without needing to understand APIs in detail Live Demonstration of Vibe Coding (00:22:10) Showcase of a compound improvement calculator built with Lovable Demonstration of an AI agent demo landing page created in minutes Creation of a task management app for McDonald's employees with bonus tracking How tools handle authentication, camera integration, and user management The Technical Aspects and Limitations (00:32:17) How the tools handle publishing and hosting applications Integration with databases through services like Supabase The iterative refinement process when errors occur New features allowing fine-grained control over components Implications for Higher Education (00:36:43) How non-technical staff at universities could build their own applications Potential for rapid prototyping of student-facing tools Examples like grade appeal chatbots or orientation sign-up systems Opportunities for micro-apps to solve specific campus problems Risks and Challenges (00:41:14) Potential security and privacy concerns with generated code Maintenance challenges for vibe-coded applications Questions about ownership and governance of applications The concept of "disposable software" that's cheaper to rebuild than maintain Future Outlook and Getting Started (00:47:28) The expansion of "vibe" approaches to other domains like marketing Recommendations for experimenting with tools like Lovable The importance of human review for security Encouraging safe experimentation with these accessible tools - - - - 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…

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EO on AI Education, Hollywood's AI Validation, and OpenAI's O3 Visual Reasoning Power 43:59

לפני 7 weeks43:59

43:59

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu discuss recent significant AI developments across education, entertainment, and technology. They analyze President Trump's executive order on AI education for K-12 schools, which challenges the "cheating narrative" and aims to promote AI literacy. They also examine the Academy Awards' decision to accept AI-assisted films for consideration. The hosts then dive deep into OpenAI's new O3 model, exploring how its multimodal reasoning capabilities allow it to process text, images, and code in unified ways that mimic human thinking. The episode highlights practical applications for marketing, data analysis, and higher education enrollment strategies. Introduction and News Updates (00:00:00) Welcome to the Generation AI podcast focused on higher education Introduction of hosts JC Bonilla and Ardis Kadiu Overview of the episode's main topics: executive order on AI education, Oscars' AI acceptance, and OpenAI's O3 model Executive Order on AI Education (00:03:04) President Trump signed an executive order on April 23rd promoting AI education for youth The order creates a White House task force to oversee federal funding for AI literacy Discussion on how this challenges the current trend of banning AI in 60% of US schools Ardis shares personal experience of his children being afraid to use AI for educational purposes The order aims to remove the "AI equals bad" mental block in students Global Competitiveness in AI Education (00:07:24) Debate on whether the US K-12 education system is globally competitive Discussion of inconsistencies in education quality across districts and states Comparison to other countries where students are actively building AI skills Need for improved AI literacy to maintain competitive advantage The Academy Awards' AI Decision (00:08:56) The Academy of Motion Picture Arts and Sciences has updated rules for the 98th Oscars Films using generative AI tools are now eligible for awards The use of AI will neither help nor harm a film's chances of nomination Human-driven artistry will remain the priority in judging Discussion of the film "The Brutalist" which used AI for accent enhancement Significance of this as validation for AI in creative fields Updates on Frontier AI Models (00:13:42) Brief mention of recent model releases from Google and Grok Focus on OpenAI's O3 as a "multimodal marvel" for reasoning The race of AI development continues with focus on scalable agents Discussion of naming conventions for OpenAI models OpenAI's O3 Model Capabilities (00:16:20) O3 represents a departure from conversational chatbots toward visual thinking The model excels at coding, math, science, and visual reasoning It processes text, images, and code in a unified reasoning framework Visual thinking capabilities comparable to human thinking processes Discussion of performance improvements and acceleration in model capabilities The companion O4 Mini model for lightweight real-time applications Testing O3 vs Other Models (00:25:28) JC and Ardis compare experiences using different OpenAI models Comparison between O3 and GPT-4o outputs for the same prompt O3's tendency to use tables and structured formats for certain outputs Ardis recommends using O3 for coding, PDF analysis, and creative feedback Practical Applications of O3 (00:30:34) Content creation capabilities for ad copy generation Campaign visual analysis through multimodal reasoning Data analysis improvements for marketing datasets Better handling of unstructured tasks in higher education Strategic data-driven approaches to enrollment management Demo of creating visual ads with iterative refinements in minutes Example of financial analysis from complex spreadsheets ChatGPT Memory Feature Update (00:40:37) New feature allowing ChatGPT to use prior conversations as context Benefits of the system remembering previous interactions How this enables personalization of AI responses Impact on workflow efficiency and personalized assistance Conclusion (00:43:07) Final thoughts on AI integration into human activities Closing remarks and podcast network information - - - - 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…

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ASU+GSV Summit 2025 Recap - Learning at the Speed of Light 45:56

לפני 8 weeks45:56

45:56

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 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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ASU's AI Strategy, Digital Workforce, and the End of Frankenstein Tech 28:54

לפני 9 weeks28:54

28:54

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 importance of planning with a longer horizon while remaining agile - - - - 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…

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ChatGPT image magic changes design forever, Gemini 2.5 raises the bar, MCP connects everything, Claude for Education brings AI to classrooms 44:54

לפני 10 weeks44:54

44:54

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.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…

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AI & Admissions: Making Fast, Fair Decisions in Higher Ed 35:08

לפני 11 weeks35:08

35:08

In this episode of Generation AI, hosts Dr. JC Bonilla and Ardis Kadiu examine how AI can support—not replace—human decision-makers in college admissions. They discuss the growing challenge of application volume (with schools like NYU receiving 120,000 applications) against limited staff resources, creating bottlenecks where reviewers must evaluate hundreds of applications in tight timeframes. The hosts explain how AI tools can bring consistency to evaluation, remove human bias, and dramatically speed up document processing while maintaining quality. They outline specific AI applications in admissions including document verification, essay evaluation, and transcript analysis, emphasizing that the goal is to enhance human judgment rather than replace it. The Admissions Crunch: Record Application Numbers (00:00:57) NYU received 120,000 applications this year, the most for any private university University of Texas at Austin saw a 24% increase in applications University of Washington experienced 57% growth over five years Harvard received 60,000 applications for just 2,000 spots The Human Workload Problem (00:02:46) Average public university has 60 new students per staff member Application-to-staff ratio can reach 600-650 for selective schools Each application takes 15-30 minutes to review Staff often have multiple responsibilities beyond application review The Student Experience Impact (00:06:08) Long waiting times affect student decision-making Speed to response is critical for enrollment strategy Reducing review time from 45 days to 24 hours can increase enrollment Early decisions are a competitive advantage for institutions How College Admissions Work (00:08:12) Holistic admissions evaluate academic achievement, personal statements, extracurriculars Rolling admissions focus on meeting basic criteria with rapid turnaround Both processes involve significant manual review Consistency and speed are major challenges AI Advantages in the Admissions Process (00:11:24) Consistency and fairness through uniform evaluation standards AI applies the same criteria consistently across all applications Removes human bias that can affect evaluation outcomes Maintains evaluation standards even with reviewer fatigue AI Technology in Document Processing (00:14:54) Optical Character Recognition (OCR) digitizes documents efficiently Natural Language Processing (NLP) analyzes qualitative aspects of applications Multimodal models like Gemini 2.0 extract data from documents accurately Reasoning models can evaluate applications based on specific criteria Current State of AI in Admissions (00:17:53) OCR technology for transcript scanning exists but is limited Some schools use data extraction when loading information into CRMs Few comprehensive solutions integrate all aspects of AI evaluation Technology is just becoming available for full-scale implementation Technical Applications of AI in Admissions (00:19:17) Document verification automates checking for completeness and accuracy Essay evaluation can extract themes about student readiness Course equivalency mapping connects courses across institutions Transcript evaluation helps with transfer credits and placement Admissions as a Rubric (00:25:37) Admissions decisions are based on measurable criteria Criteria can be objective (in-state status) or subjective (leadership qualities) Digital application review transforms criteria into software evaluations AI can work effectively with rubric-based evaluation systems Element451's AI-Powered Admissions Approach (00:29:08) AI agent ingests institutional rubrics and evaluation criteria System analyzes all submitted documents through data extraction Provides scores and reasoning for each evaluation criterion Places AI recommendation alongside human evaluation The Future: Your First Read is Your Second Read (00:31:08) AI provides efficient, fair, consistent and scalable admissions process Goal is to enhance human judgment, not replace it Removes human bias while maintaining quality evaluation Frees staff time for personal interaction with prospective students - - - - 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…

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The State of Personal AI Agents: Manus, Deep Research, Perplexity, Grok, Lovable, Cursor, Lindy.ai, and the Future of Autonomous Workflows 37:10

לפני 12 weeks37:10

37:10

In this episode of Generation AI, hosts JC Bonia and Ardis Kadiu explore the rapidly evolving landscape of personal AI agents. They analyze four types of agents - general task agents, researcher agents, workflow agents, and code generation agents - before diving into the recent sensation around Manus AI. The hosts discuss how AI agents are shifting from simple task execution to complex autonomous workflows, potentially transforming how work gets done across industries. The conversation highlights a critical turning point where AI can now operate with minimal human supervision, challenging previous assumptions about the "human in the loop" paradigm. Introduction to AI Agents and Recent Developments (00:00:00) JC and Ardis introduce the episode's focus on AI agents Brief mention of Manus AI creating waves in the tech world Setting the stage for understanding personal AI agents in 2025 Discussion of how these agents will shape workflows and productivity The Evolution of AI Agents (00:01:48) The shift from frontier models to foundational agent AI How 2023 saw the emergence of autonomous personal agents Requirements for agents: reasoning, adaptation, and action capabilities Time compression in AI development with DeepSeek and Grok 3 Categories of Personal AI Agents (00:05:52) Four main types of agents identified by the hosts General task agents for personal productivity and scheduling Researcher agents for deep knowledge gathering and synthesis Workflow agents for orchestrating multi-step processes Code generation agents for software development Deep Research Agents in Action (00:09:41) Ardis shares how research agents have changed his workflow Examples of using AI for market research and data gathering Tools like Perplexity offering free research capabilities Claude and Gemini providing deep research features The value of referenced, data-backed insights for decision making Workflow Agents: Connecting the Pieces (00:15:10) Explanation of how workflow agents orchestrate multiple processes Zapier and Make.com for workflow automation Relevance for personalization Lindy.ai for Gmail integration and automation The ability to mix and match between different LLMs for optimal results Code Generation Agents (00:18:00) The acceleration of AI code writing capabilities Reference to Anthropic CEO's claim about AI writing 90% of code soon Cursor and Anthropic Code Agent tools Lovable - no-code solution for building applications Bolt as another code generation platform Introduction to "vibe coding" - collaborating with AI on code without technical expertise Manus AI: A Game-Changing Personal Agent (00:24:45) Overview of what makes Manus different from previous agents The massive waitlist and $10,000 access codes showing huge demand How Manus provides autonomous task execution with minimal human input The open-source alternative "Anus" created using Manus itself The ability to work continuously in the background and notify when complete The Future of Work with Autonomous Agents (00:32:16) Implications for knowledge work and job roles The shift from "human in the loop" to "human as supervisor" models Ardis acknowledging the difficulty in claiming AI won't replace certain roles Discussion about which jobs might remain relevant in the AI future How autonomous agents are changing organizational design Closing Thoughts on the AI Landscape (00:39:34) Reflection on how major AI releases create excitement and commercialization races Anticipation of more autonomous agent solutions following Manus The rapid pace of change in the AI space How these tools will continue to democratize access to advanced capabilities Expectations for what might emerge in the coming months - - - - 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…

לפני 43 weeks31:22

31:22

In this episode of Generation AI, hosts JC Bonilla and Ardis Kadiu discuss a recent global tech incident involving CrowdStrike, a major cybersecurity company. They explore how a software update caused widespread system failures, affecting airlines, hospitals, and even judicial systems. The conversation covers the intersection of AI and cybersecurity, the complexities of modern software systems, and the potential risks and benefits of AI in security. The CrowdStrike Incident Overview of the global tech glitch caused by a CrowdStrike security software update Discussion of the widespread impact on various industries, including airlines, hospitals, and judicial systems Comparison to the Y2K expectations and the reality of modern computer glitches Understanding Enterprise Software Deployments Explanation of centrally managed IT systems in higher education and other enterprises Discussion of endpoint management and the challenges of remote software updates Insights into the vulnerabilities of large-scale software deployments AI and Cybersecurity Exploration of how AI is used in modern cybersecurity software Discussion of machine learning models for detecting malware and unusual system behaviors Insights into the benefits and potential risks of AI-powered security systems Software Testing and AI Overview of current software testing practices and their limitations Discussion of how AI can improve software testing through synthetic data generation Insights into the challenges of testing complex, interconnected systems The Future of AI in Enterprise Software Exploration of potential AI applications in software deployment and monitoring Discussion of the concept of intelligent software systems and their potential impact Insights into the balance between the benefits of scale and the risks of system-wide failures Open Source and Transparency in AI Brief mention of the importance of open source models in AI development Discussion of how transparency can help address some of the challenges in AI-powered systems - - - - 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…

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