Higher Intelligence

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

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this second installment of a three-part series, hosts JC Bonilla and Ardis Kadiu examine how multiple AI agents can work together as coordinated teams. Using Element's Campaign Manager as a real-world example, they show how AI agents can mirror human marketing team structures and workflows. The hosts break down ROI measurement frameworks for these systems and discuss why higher education is still in early adoption. Through practical examples and clear explanations, this episode helps listeners understand the shift from single AI assistants to collaborative AI systems that can handle complex, multi-step tasks.

Series Context and Episode 1 Recap (00:00:06)

• Continuation of 3-episode series on AI agents
• Episode 1 became required listening at Element
• Foundation concepts: reason, adapt, and action
• Vertical vs horizontal AI solutions approach

Multi-Agent Systems Explained (00:08:12)

• Breakdown of agent vs assistant definitions
• How specialized agents work together
• Task distribution and hierarchy systems
• Comparison to human organizational structures

Campaign Manager Case Study (00:10:09)

• Element's real-world implementation example
• Multiple specialized roles working together:
  • Campaign strategist agent
  • Content writer agent
  • Art director agent
  • HTML builder agent
• How agents pass work between each other
• Integration with existing systems

ROI Measurement Frameworks (00:27:00)

• Three approaches to measuring success:
  • Performance comparison with human work
  • Financial outcomes and cost savings
  • Organization-wide productivity gains
• How AI changes work output benchmarks
• New metrics for productivity measurement

Industry Adoption Analysis (00:35:41)

• Current state of multi-agent implementation
• Examples from marketing, engineering, customer support
• Higher education adoption challenges
• Need for institutional mindset changes

Human Role Evolution (00:40:25)

• Changes in day-to-day work with AI support
• Shift from individual work to AI orchestration
• Impact on job roles and responsibilities
• Future of human-AI collaboration

Episode 3 Preview (00:45:46)

• Coming discussion on AI workforce management
• Organizational change considerations
• IT departments' evolving role
• Future workplace predictions
• Research-based insights on AI integration

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this opening episode of a strategic three-part series, JC Bonilla and Ardis Kadiu introduce Element451's groundbreaking agentic framework for higher education. They explain how modern AI systems that can reason, adapt, and act are transforming student engagement. The episode lays the technical and operational foundation for understanding AI agents in education, setting up deeper discussions of multi-agent collaboration and AI workforce development in subsequent episodes. For education leaders preparing for AI integration in 2025, this episode provides essential context and practical insights.

Series Introduction (00:00:07)

• Overview of the three-part series structure
• Context of 2025 planning initiatives
• Introduction to agentic AI concepts

Understanding Modern AI Agents (00:06:10)

• Definition of agentic AI systems
• Evolution from basic agents to modern AI
• Core capabilities: reasoning, adaptation, and action
• Comparison with traditional automation

Element451's Agentic Framework (00:25:02)

• Five core principles for implementation:
  • Seamless system integration
  • Human-in-the-loop design
  • Proactive and reactive capabilities
  • Modular architecture
  • Measurable impact

Technical Architecture Deep Dive (00:35:57)

• Framework components and building blocks
• Role of tools and skills
• Context and memory management
• Development of specialized AI assistants

Safety and Control Mechanisms (00:46:17)

• Implementation of protective guardrails
• Compliance with educational standards
• Reflection loops for improvement
• Performance measurement systems

Framework Benefits and Applications (00:54:23)

• Impact on student engagement
• Operational efficiency improvements
• Integration with existing workflows
• Connection to future episodes

Looking Ahead (01:00:08)

• Preview of multi-agent collaboration
• Introduction to AI workforce concepts
• Role of IT teams in AI management
• Organizational transformation potential

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Setting the Stage for AI in 2025 (00:00:07)

• Introduction of AI mastery as a key resolution for 2025
• Discussion of AI becoming mainstream in automation and workflows
• The importance of developing individual AI expertise and leadership skills

Core Skills for Individual AI Mastery (00:06:12)

• Essential tools: ChatGPT, Claude, and Gemini
• Moving beyond basic prompt engineering to problem-solving
• Focus on contextual understanding and domain expertise
• Time investment needed for staying current with AI developments

Building AI Workflows and Integration (00:11:41)

• Evolution from standalone tools to integrated workflows
• Importance of domain-specific knowledge in automation
• Creating production-ready work with AI assistance
• Examples of specialized AI tools in higher education

Staying Updated on AI Developments (00:14:31)

• Recommended resources: podcasts, newsletters, and industry blogs
• Time commitment for staying current (1-3 hours daily)
• Balancing content consumption with practical application
• Curating relevant information sources for your field

AI Leadership and Change Management (00:24:15)

• Focus on incremental implementation over long-term planning
• Importance of showing immediate value through experimentation
• Rethinking processes from first principles
• Strategies for managing team adoption and resistance

Data Integration and Knowledge Sources (00:31:20)

• Breaking down data silos in higher education
• Leveraging unstructured data (policies, documents, media)
• Connecting different data sources for better insights
• Examples of successful data integration in education

Partnership and Experimentation (00:34:38)

• New approach to vendor relationships in AI implementation
• Importance of co-creation and pilot programs
• Benefits of early adoption and experimentation
• Real-world examples of successful partnerships

Looking Ahead: AI Implementation Strategy (00:41:35)

• Long-term perspective on AI adoption
• Balance between curiosity and openness to change
• Focus on creating enterprise value through AI
• Importance of leadership in driving AI transformation

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this information-packed episode, hosts Ardis Kadiu and JC Bonilla analyze OpenAI's "12 Days of OpenAI" campaign. They examine each major announcement, from new AI models like o1 and Sora to the introduction of the $200 ChatGPT Pro subscription. The hosts break down how these updates affect higher education professionals, exploring everything from advanced reasoning capabilities to video generation and voice features. This episode is essential listening for anyone in education who wants to understand OpenAI's latest developments and their practical applications in highered.

• o1: A new model that excels at breaking down complex problems
• o3 and o3-mini models (preview) with enhanced reasoning capabilities
• Sora: OpenAI's entry into text-to-video generation

• ChatGPT Pro: A $200 monthly subscription with premium features
• Canvas: A new space for real-time collaboration
• Projects: Smart organization for conversations
• Universal search access
• Voice mode with video capabilities
• Phone access (1-800-ChatGPT)

• Simplified fine-tuning process
• o1 model API access
• New SDKs for Go and Java
• Realtime API

• Connection with Apple's ecosystem
• Works with Apple Notes, Notion, and other tools

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this milestone 56th episode of Generation AI, hosts JC Bonilla and Ardis Kadiu provide a comprehensive review of AI's transformation in 2024 and share strategic predictions for 2025. From the rise of multimodal AI to NVIDIA's market dominance, they examine how the technology landscape has evolved and what higher education institutions should prepare for in the coming year. The discussion offers practical insights into AI adoption, technological advances, and the changing nature of work in education.

Multimodal AI Breakthrough (00:05:31)

• AI systems now process multiple data types simultaneously (text, voice, images)
• Major releases: Google Veo, Amazon Nova
• Element451 implemented real-time voice capabilities
• Significant improvements in video generation and understanding

Small Language Models Evolution (00:10:24)

• Shift toward efficient, cost-effective models
• Key developments: TinyLLAMA, Claude Instant
• Focus on specific tasks rather than general-purpose use
• Enhanced speed and reduced operational costs

Investment and Market Growth (00:17:08)

• NVIDIA reached $3.5 trillion market cap
• XAI valued at $50 billion
• OpenAI reached $175 billion valuation
• AI startups attracted approximately $20 billion in funding

AI Agents and Autonomy (00:23:39)

• Transition from chatbots to autonomous systems
• Salesforce rebranded to "Agent Force"
• Focus shifted from safety concerns to practical applications
• Devon AI demonstrated full application building capabilities

Industry Maturity Signs (00:26:38)

• Reduced concerns about hallucinations and data safety
• Shift from experimental to practical use cases
• Notable challenges: Gemini AI image controversy, Bing AI misinformation
• McDonald's AI ordering system challenges

AI Reasoning Evolution (00:29:16)

• Models will showcase improved reasoning capabilities
• Focus on "world models" understanding context
• Enhanced transparency in AI decision-making
• Better integration with robotic systems

Hyper-Personalization (00:31:44)

• Advanced contextual and seasonal targeting
• Integration with privacy-focused frameworks
• Cost reduction enabling individual-level AI processing
• Enhanced personalization in advertising and user experience

AI-Powered Devices (00:39:39)

• 30% of new devices to ship with built-in AI capabilities
• Enhanced mobile AI capabilities
• Improved interface and user experience
• Focus on smaller, more efficient devices

Higher Education Adoption (00:42:06)

• Mainstream adoption beyond early adopters
• Integration with existing systems (SIS, LMS)
• Focus on student experience and productivity
• Challenges with data integration and workflow automation

AI-Driven Analytics (00:44:52)

• Shift from traditional analysis tools to conversational interfaces
• Transformation of analyst roles to strategic positions
• Enhanced insight generation through AI
• Focus on outcomes rather than metrics

Industry Predictions (00:50:05)

• Continued NVIDIA market dominance
• Projected stock growth to $400
• Increased chip demand and market expansion
• Ongoing competition in global chip manufacturing

1. AI adoption will move from experimental to mainstream in 2025
2. Focus should be on practical applications rather than theoretical possibilities
3. Integration with existing systems will be crucial for success
4. Data strategy and infrastructure will determine AI implementation success
5. Traditional roles will evolve to become more strategic and less operational

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode, Ardis Kadiu and JC Bonilla discuss Element451's recent $175 million strategic investment from PSG Equity. They break down how this investment shows the market's strong belief in AI-powered student engagement. The conversation covers Element451's growth from its early days at NYU to becoming a leading AI-first platform, and what this means for higher education institutions looking to use AI for better student experiences. This funding will speed up the development of AI tools that make staff more productive while giving students 24/7 support.

Announcing the Big News (00:00:06)

• Introduction to special Sunday evening episode
• Element451 receives $175 million strategic investment from PSG Equity
• Hosts discuss the impact on AI in higher education

Element451's Origin Story (00:03:00)

• Started 17 years ago at NYU
• Focus on improving student experience from website to application
• Evolution from Spark451 agency to Element451 platform
• Early work with predictive models and data analysis

The AI-First Strategy (00:06:20)

• Element451's transition to AI-first company
• 346% customer growth since 2021
• Strategic importance of AI in student engagement
• Discussion of current market challenges in higher education

AI Solutions for Higher Education (00:11:39)

• Making staff more productive with AI tools
• 24/7 student engagement through AI systems
• Moving from chatbots to AI agents
• Focus on both staff productivity and student experience

The Future of AI in Student Engagement (00:15:21)

• Element451 as student engagement system of record
• Integration of data across the student lifecycle
• Development of conversational interfaces
• Plans for autonomous AI agents making decisions

Building Autonomous Systems (00:17:33)

• Moving beyond manual workflow automation
• AI-powered decision making for student engagement
• Creating personalized student journeys
• System's ability to evaluate and take next best actions

Looking Ahead (00:22:07)

• Timeline for new AI features
• Integration with more data sources
• Plans for personalized recommendations
• Discussion of student-centered AI agents

Personal Reflections (00:29:00)

• Impact of the investment on Element451's future
• CEO's perspective on company milestone
• Vision for creating value for partners and customers
• Looking forward to next phase of growth

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this illuminating discussion, hosts JC Bonilla and Ardis Kadiu break down the four fundamental ways AI models become smarter: pre-training (long-term memory), context/prompting (short-term memory), real-time reasoning (inference-time processing), and fine-tuning (specialized learning). Using real-world examples from Bloomberg GPT and Apple's strategy, they explain why bigger models aren't always better and how companies can achieve remarkable results by intelligently combining these different approaches to model intelligence. Kadiu provides a masterclass in understanding AI model development, challenging common assumptions about specialized models while explaining why current AI capabilities are sufficient for most applications over the next 4-5 years.

Post-Thanksgiving Welcome and Updates (00:00:07)

• Warm opening with hosts sharing Thanksgiving experiences
• Discussion of family gatherings and cooking adventures
• Setting the stage for a technical but accessible conversation

Understanding Model Intelligence: The Four Paths (00:29:06)

• Pre-training explained as "long-term memory" for models
• Context/prompting described as "short-term memory"
• Real-time reasoning capabilities during inference
• Fine-tuning as a specialized learning approach
• How these methods combine in practical applications

Pre-training Deep Dive (00:31:07)

• Explanation of the "P" in GPT (Generative Pre-trained Transformer)
• How pre-training works as foundational knowledge
• Cost implications of extensive pre-training
• Trade-offs between model size and performance

Context and Prompting Insights (00:32:44)

• Role of context in model performance
• How prompting provides short-term guidance
• Examples of effective context usage
• Impact on model accuracy and results

Real-time Reasoning Capabilities (00:34:06)

• How models perform inference-time reasoning
• Internal processing and decision-making
• Benefits of self-guided problem-solving
• Examples of reasoning in action

Fine-tuning and Specialization (00:36:16)

• When and why to use fine-tuning
• Cost benefits of specialized training
• Real-world examples of successful fine-tuning
• Limitations and considerations

Practical Applications and Cost Considerations (00:42:26)

• Analysis of decreasing model costs
• Speed vs accuracy trade-offs
• When to use which approach
• Future trends in model development

Industry Examples and Case Studies (00:47:20)

• Bloomberg GPT's lessons learned
• Apple's strategic approach to AI
• OpenAI's revenue model
• Success factors in model deployment

Looking Forward: The Next 4-5 Years (00:49:13)

• Current capabilities vs future needs
• Role of evaluation and testing
• Importance of proper tooling
• Balance between innovation and practical application

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Generation AI, hosts Ardis Kadiu and JC Bonilla, joined by CTO Petar, explore the growing challenge of college application fraud and Element451's innovative AI solution. They discuss how fraudulent applications impact institutions through resource theft, financial aid abuse, and system manipulation. The conversation reveals how Element451's new AI-powered fraud detection system uses behavioral data and LLM reasoning to identify suspicious applications while avoiding demographic bias. The team explains their approach of keeping humans in the loop while using advanced technology to process applications at scale.

Introduction and Context (00:00:07)

• Hosts Ardis Kadiu and JC Bonilla welcome special guest Petar
• Discussion focuses on college application fraud detection
• Element451's development of AI-powered solution

Understanding Application Fraud (00:02:26)

• Impact on non-selective institutions and community colleges without application fees
• Fraudulent applications seeking .edu email addresses for free resources
• Financial aid fraud through fake applications
• Multiple levels of fraud affecting institutions
• Manual review process becoming overwhelming for schools

Current Detection Methods and Challenges (00:05:05)

• Discussion of sophisticated fraud schemes beyond simple automation
• Fraudsters using real data and identity theft
• VPN usage to mask locations
• Current manual review processes and their limitations
• Time constraints in application review during peak seasons

Element451's AI Solution: Bolt AI (00:10:16)

• Introduction to Bolt AI as Element451's AI framework
• Multiple factors considered in fraud detection
• Behavioral data analysis approach
• Focus on non-demographic indicators to prevent bias

Key Detection Factors (00:12:21)

• Time to submission analysis
• Application submission patterns
• IP address verification and VPN detection
• Email validation and bounce rate checking
• Geographic location analysis
• Cross-system duplicate detection

AI Implementation and Reasoning (00:21:13)

• Use of Large Language Models (LLMs) for reasoning
• Advantage over traditional rule-based systems
• Explainable AI decisions with detailed reasoning
• Processing of 60,000 applications in initial weeks
• Human feedback integration for system improvement

Bias Prevention and Fair Evaluation (00:32:33)

• Focus on behavioral data rather than demographic information
• Human-in-the-loop approach for final decisions
• Importance of transparency in decision-making
• Feedback collection for system refinement

Operational Impact (00:38:18)

• Creation of separate workflows for high-risk applications
• Quarantine system for suspicious applications
• Balance between fast processing and security
• Resource protection and cost savings
• Improved student experience through faster legitimate application processing

Future Developments (00:42:55)

• Plans for generative UI in student experience
• Development of proactive AI systems
• Enhanced personalization capabilities
• Integration with student hub
• Dynamic workflow planning based on student behavior

Benefits and Innovation (00:46:18)

• Improved data integrity in application processing
• Transparent decision-making process
• Enhanced speed without compromising security
• Better resource allocation for legitimate applications

- - - -

Connect With Our Co-Host:
Dr. JC Bonilla
https://www.linkedin.com/in/jcbonilla/

About The Enrollify Podcast Network:
Higher Intelligence 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. Learn more at element451.com.

Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.