Higher Intelligence

Latest Episodes:

Top 100 GenAI Apps: ChatGPT dominates, Perplexity rises, ByteDance pushes AI, dating apps get smarter Sep 10, 2024

Show notes

In this back-to-school special episode of Generation AI, hosts Ardis Kadiu and JC Bonilla explore the latest trends in AI consumer apps, based on recent research ranking the Top 100 Gen AI Consumer Apps from . They discuss the dominance of creative tools, the rise of new AI assistants, China's growing influence in the AI market, and the emergence of new categories like aesthetics and dating apps.

Top 100 Gen AI Consumer Apps Research (00:05:27)

Overview of the research methodology: ranking top 100 Generative AI Consumer Apps
Nearly 30% of companies are new compared to the March 2024 report

Use Types in AI Apps (00:13:42)

Creative tools continue to dominate the AI app landscape
52% of web list companies focus on content generation or editing across various modalities
Video and music creation apps are on the rise
Highlight of new entrants: Luma (#14), Viggle (#21), SeaArt (#29), and Udio (#33)
Suno, a music generator, made the biggest leap from #36 to #5

Dominant AI Technologies (00:20:04)

ChatGPT remains the #1 product on web and mobile
Perplexity climbs to #3, surpassing ChatGPT in user engagement
Claude rises from #10 to #4 in web rankings, driven by its new Artifacts feature
Luzia's mobile debut at #25 with 45 million global users

China's Growing Influence in AI (00:31:10)

ByteDance (TikTok's parent company) enters the AI market
Three new ByteDance apps debut: Gauth (#44), Coze (#45), and Doubao (#47)
ByteDance now has six spots across web and mobile lists
Discussion of ByteDance's R&D division, Flow, focused on generative AI applications

Emerging Categories: Aesthetics and Dating (00:23:45)

Introduction of new apps: LooksMax AI (#43), Umax (#44), and RIZZ (#49)
LooksMax and Umax offer AI-driven attractiveness ratings and tips
RIZZ helps users improve dating app messages with AI-generated suggestions

Global Distribution of AI Innovation (00:31:10)

Discussion of the geographical spread of AI innovation
Mention of surprising tech hubs like Florida and Poland

The Shift from Technology to Application (00:31:59)

Transition from focusing on underlying AI technology to practical applications
The importance of use cases in driving AI adoption

Closing Thoughts and Recommendations (00:34:11)

Encouragement to stay curious and informed about AI developments
Advice for educators to embrace AI and integrate it into their teaching practices
Emphasis on the importance of experimenting with AI to enhance the classroom experience

- - - -
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.

How Universities are Integrating AI Today | Why Personalization is the Key to Student Retention | Ethical Challenges in Higher Ed AI | How AI is Reshaping the Job Market for Graduate | Preparing for AI-Driven World with Brian Piper @ U of Rochester Sep 03, 2024

Show notes

Brian Piper is the and host of AI for U podcast and the Director of Content Strategy and Assessment at the University of Rochester, where he chairs the Marcom AI. Known for his expertise in data analysis and AI applications in higher education, Brian is also an active skydiver with nearly 3,000 jumps under his belt. He's a frequent speaker at higher education and content conferences, sharing his insights on AI's role in shaping the future of education.

In Today's Episode with Brian We Discuss:

Current AI Applications in Higher Education (00:03:15)

What are the most effective ways universities are using AI today?
How is AI changing the landscape of marketing and content creation in higher ed?
What low-risk, high-reward AI applications can institutions implement quickly?
How can AI tools save time and resources for more strategic work?

Challenges of AI Adoption in Universities (00:10:30)

What are the main concerns institutions have about adopting AI technologies?
How can universities address issues of data privacy and copyright when using AI?
What strategies can help overcome resistance to AI integration in academic settings?
How can institutions balance the benefits of AI with the fear of job displacement?

Personalization and Student Experience (00:18:45)

How can AI create more personalized experiences for students?
What role can AI play in improving student retention rates?
How might AI transform the way universities communicate with prospective and current students?
What are the potential drawbacks of AI-driven personalization in education?

Ethical Considerations and Future Implications (00:26:00)

What are the key ethical concerns surrounding AI use in higher education?
How can universities ensure transparency and reduce bias in AI-driven decision-making?
What long-term implications might AI have on the job market for graduates?
How can institutions balance the benefits of AI with the need for human oversight?

Preparing Students for an AI-Driven World (00:33:15)

What skills should universities focus on to prepare students for an AI-dominated workforce?
How can institutions teach students to use AI tools effectively and ethically?
What changes might be necessary in university curricula to address AI literacy?
How can universities stay adaptable in the face of rapidly evolving AI technologies?

The Future of AI in Higher Education (00:39:30)

What potential does AI have to transform the learning experience in universities?
How might AI-generated content change the way courses are designed and delivered?
What role will AI play in shaping the future of admissions and enrollment processes?
How can universities maintain their relevance and value proposition in an AI-driven world?

- - - -
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.

AI Agents in Action: Building Proactive AI Systems for Higher Ed (part 2) Aug 27, 2024

Show notes

In this second episode of a two-part series, Generation AI dives deep into the practical applications of proactive AI assistants in higher education. Hosts Ardis Kadiu and Petar Djordjevic discuss how Element451 is implementing AI agent systems to revolutionize student engagement and recruitment. They explore the transition from reactive to proactive AI, explaining how these systems can automate and personalize the entire student journey, from initial inquiry to enrollment.

The Evolution of AI Assistants in Higher Education (00:00:06)

Transition from reactive to proactive AI systems
The concept of AI "autopilots" in student engagement
How proactive AI assistants can personalize the student journey

Current Challenges in Student Recruitment (00:03:45)

Limitations of traditional marketing automation workflows
The complexity of managing long-term student engagement
Difficulties in personalizing communication at scale

Implementing Proactive AI Assistants (00:10:40)

How AI can analyze student data and decide on next actions
The role of large language models in understanding context
Balancing automation with human oversight and intervention

Personalization at Scale: The Segment of One (00:18:06)

Using AI to create truly personalized communication plans
How proactive assistants can manage multiple goals simultaneously
The importance of context and past interactions in decision-making

Technical Considerations and Challenges (00:25:23)

Managing complex workflows and multi-step processes
Integrating various communication channels (email, SMS, voice)
Ensuring data privacy and security in AI-driven systems

The Future of AI in Higher Education Marketing (00:31:30)

Potential for AI to replace traditional marketing campaigns
How AI can augment and enhance human decision-making
The importance of transparency and control in AI systems

Practical Implementation and Next Steps (00:34:10)

Element451's approach to incorporating proactive AI assistants
The importance of gradual implementation and testing
How institutions can prepare for this new wave of AI technology

- - - -
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.

AI Agents 101: The Building Blocks of Intelligent Student Engagement (part 1) Aug 27, 2024

Show notes

In this first episode of a two-part series, Generation AI explores the foundational concepts of proactive AI assistants and their potential impact on higher education. Hosts Ardis Kadiu and Petar Djordjevic break down the key components of AI agent systems, explaining how they differ from reactive systems and why they matter for the future of student engagement. They discuss the importance of memory, context, and goal-oriented behavior in AI agents, setting the stage for part two's deep dive into practical applications. This episode is essential listening for higher education professionals looking to understand the basics of AI agent systems before exploring their implementation in recruitment and student support.

Introduction to Proactive AI Assistants (00:00:06)

Defining proactive AI assistants and AI agent systems
How they differ from reactive AI systems
The shift from simple tasks to complex, goal-oriented behaviors

Key Components of AI Agents (00:02:01)

Large language models as the foundation
The role of memory and context in AI reasoning
Goal-oriented behavior and decision-making processes

Enhancing AI Performance (00:05:01)

Techniques like chain of thought and few-shot learning
The importance of examples in improving AI responses
Balancing context window size with efficient information retrieval

Challenges in AI Agent Development (00:10:31)

Managing complex tasks and multi-step processes
Coordinating multiple specialized AI agents
Ensuring relevant and timely responses from AI systems

The Concept of "Human on the Loop" (00:17:01)

Balancing AI autonomy with human oversight
The importance of human intervention in AI decision-making
Ethical considerations in deploying AI agent systems

Preparing for Proactive AI in Higher Education (00:22:31)

Potential applications in student engagement and recruitment
The shift from mass communication to personalized interactions
Setting the stage for AI-driven automation in education processes

Looking Ahead to Part 2 (00:29:01)

Brief preview of practical applications in higher education
Teaser for Element451's approach to implementing proactive AI assistants
The potential impact on student recruitment and support strategies

- - - -
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.

AI in Cybersecurity: Inside the CrowdStrike Crash Aug 20, 2024

Show notes

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-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.

Navigating AI Vendor Selection in Higher Ed Aug 13, 2024

Show notes

In this episode, we tackle a timely issue for our higher education friends: how to choose the right AI vendor. As you enter planning mode and vet potential partners, we share our insights on navigating the good and bad of AI vendor selection. We discuss the challenges of implementing emerging AI technologies, where possibilities are vast but proven successes are still unfolding. Using real-world examples, including a recent case from the Los Angeles Unified School District, we offer practical advice on what to consider when selecting AI partners. Whether you're launching new projects or expanding existing ones, this episode will help you make informed decisions in the rapidly evolving world of AI in higher education.

The Current AI Landscape in Higher Education

Recognize that AI adoption in higher ed is still in early stages
Understand that planning and vendor selection are crucial first steps
Be aware that while AI possibilities are vast, proven use cases are still developing

Lessons from the LA Unified School District AI Project

Large-scale AI projects carry significant risks
Proper scoping and realistic expectations are essential
Consider starting with smaller, focused AI initiatives before scaling up

Evaluating AI Vendors: Beyond the Hype

Look past marketing buzz and focus on concrete AI capabilities
Ask for specific, relevant examples of AI applications in higher ed
Check references and speak with current clients about their experiences

Understanding the True Cost of AI Implementation

Budget for hidden costs like integration and ongoing maintenance
Consider long-term expenses, not just initial implementation costs
Evaluate different pricing models to find the best fit for your institution

Data Considerations in AI Projects

Assess your institution's data quality and quantity before starting AI projects
Plan for data integration challenges with existing systems
Prioritize student data privacy and security in all AI initiatives

The Value of Proof of Concepts (POCs)

Use POCs to test AI capabilities in your specific environment
Set clear, measurable goals and timelines for AI pilots
Be prepared to learn from both successes and failures in POCs

Change Management and AI Adoption

Prepare for organizational changes when implementing AI
Involve stakeholders early in the AI adoption process
View AI as a tool for transformation, not just process automation

Choosing the Right AI Partner for Your Institution

Look for partners with higher education experience and understanding
Prioritize vendors who offer both technological and strategic support
Build partnerships based on shared goals and long-term vision

A Guide to Selecting the Perfect AI Chatbot

- - - -
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.

Llama 3.1 Release, AI Avatars with AI Studio, Meta's Open Source Vision, Segment Anything 2 Model (SAM) Release Aug 06, 2024

Show notes

Llama 3.1 Release

405 billion parameter model, largest open-source AI to date
128,000 token context length
Multilingual support: French, German, Hindi, Italian, Spanish
Trained on over 15 trillion tokens using 16,000 Nvidia H100 GPUs
Performance competitive with GPT-4 and Claude 3.5 Sonnet
More cost-efficient operation compared to competitors

AI Studio Launch

Platform for creating custom AI avatars without technical skills
Users can design AIs for various purposes: humor, meme generation, travel advice
Creators can use AI to answer common DMs and story replies
Replaces previous attempt at celebrity AI chatbots

Meta's Open Source Vision

Aim to democratize access to advanced AI technologies
Partnerships with Amazon, Databricks, and Nvidia for infrastructure support
Potential for synthetic data generation and model distillation
Integrated safety features: Llama Guard 3 and Prompt Guard
Aligns with U.S. policy discussions on open-source AI investment

Segment Anything 2 (SAM 2) Release

Unified model for real-time object segmentation in images and videos
State-of-the-art performance in promptable segmentation
Open-sourced with Apache 2.0 license
Includes SA-V dataset: 51,000 real-world videos, 600,000+ masklets
Potential applications in video effects, creative tools, and data annotation

- - - -
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.

Creating Interactive Apps for Better Teaching with Claude 3.5 Jul 30, 2024

Show notes

This episode of Generation AI introduces Claude 3.5, Anthropic's latest AI model, and its new "artifacts" feature. Hosts JC Bonilla and Ardis Kadiu explore how Claude 3.5 can create interactive apps and visualizations, making complex topics like p-values easier to teach. They demonstrate Claude's ability to generate code, create web-based apps, and offer collaborative workspaces.

Introduction to Claude 3.5

Overview of Anthropic's new AI model
Comparison to GPT-4 and other AI models
Discussion of Claude's improved writing and reasoning capabilities

The "Artifacts" Feature

Explanation of Claude's new ability to create interactive content
Examples of artifact types: code snippets, web apps, SVGs, and more
How artifacts can be shared and collaborated on

Practical Application: Teaching P-Values

Demonstration of Claude creating an interactive app to explain p-values
Discussion of the "Surprise Party Planner" analogy for teaching statistics
How AI-generated examples can make complex topics more relatable

Technical Capabilities of Claude's Artifacts

Breakdown of the code generation process
Explanation of the React-based web app created by Claude
Discussion of Claude's ability to adapt and correct code based on feedback

Implications for Higher Education

How AI tools like Claude can enhance teaching methods
Potential for creating personalized learning materials
Discussion of the time-saving aspects for educators

Collaboration and Version Control

Overview of Claude's team collaboration features
Explanation of version control for artifacts
How these features can help in group projects and iterative learning

- - - -
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.

The 5 Levels of AI: From Chatbots to Organizational Intelligence Jul 23, 2024

Show notes

This episode of Generation AI explores the five levels of artificial intelligence capabilities as defined by OpenAI. Hosts Ardis Kadiu and Dr. JC Bonilla discuss each level, from current chatbot technology to future AI that could run entire organizations. They explain how these advancements might change work, innovation, and society.

Introduction to AI Capability Levels

OpenAI's framework for measuring AI progress
Current AI technology at level 1 out of 5
Overview of the five levels: chatbots, reasoners, agents, innovators, and organizations

Level 1: Chatbots and Conversational AI

Current state of AI technology
Capabilities of chatbots like GPT-3.5 and GPT-4
Examples of how chatbots are used today

Level 2: Reasoners and Problem-Solving AI

AI systems that can break down and solve complex problems
Comparison to human problem-solving abilities
Potential applications in various fields, including higher education

Level 3: Goal-Oriented AI Agents

AI systems that can work independently towards specific goals
Examples of potential uses, such as investment management
Discussion of how this level could change the workplace

Level 4: AI Innovators and Invention

AI capabilities for creating new solutions and inventions
Potential impact on scientific research and technological advancement
Examples of how AI could address global challenges

Level 5: AI Organizations

The concept of AI systems running entire organizations
Discussion of economic and social implications
Exploration of how this could change business and employment

The Path to Artificial General Intelligence (AGI)

Definition and characteristics of AGI
Timeline predictions for achieving AGI
Reference to Ray Kurzweil's work on technological singularity

- - - -
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.

AI That Listens and Speaks: A Look at New Voice Models Jul 16, 2024

Show notes

In this episode, we explore the latest breakthroughs in AI voice models. We discuss how these new technologies are making AI assistants more human-like in their ability to listen, speak, and even interrupt conversations. We break down the technical aspects of real-time voice processing and explain how these models are trained using synthetic data. We also look at the Moshi model from Kuytai, an open-source project that's pushing the boundaries of what's possible with voice AI. Throughout the episode, we consider the implications of these advancements for higher education, including improved student support and engagement. If you're curious about how AI is becoming more conversational and what it means for the future of education, this episode is for you.

Introduction to Voice Models in AI

We introduce the concept of voice models in AI and how they're evolving from simple text-to-speech to more complex, conversational systems.
These new voice models are not just translating text to speech, but understanding and processing audio input directly, making interactions more natural and fluid.

Technical Advancements in Voice AI

We delve into the technical aspects of recent advancements in voice AI, including real-time processing and multimodal understanding.
The ability to process multiple audio streams simultaneously allows for more human-like interactions, including handling interruptions and context switching.

The Moshi Model by Kuytai

We discuss the Moshi model, an open-source voice AI developed by Cutai, and its unique features.
Moshi's development by a small team in just six months shows how AI innovation is becoming more accessible, potentially leading to faster advancements in the field.

Implications for Higher Education

We explore how these new voice AI technologies could be applied in higher education settings.
Voice AI could transform student support services, making them more accessible and personalized, while also opening up new possibilities for distance learning and accessibility.

The Future of AI Development

We consider the broader implications of these advancements for the future of AI development.
The use of synthetic data for training and the ability to create powerful models with smaller teams could lead to a boom in AI innovation, potentially changing the landscape of tech development.

- - - -
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.

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