Category Archives: AI

AI Platforms, Products, and Features

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Bear with me, I am going to just do some outloud thinking. I want to make sure I get my thoughts down on leveling the vocabulary around the AI explosions happening around us. What are the differences between AI platforms, AI products, and AI features and why each has a critical role in our strategy.

I believe in an enterprise as large and diverse as ours, an AI platform will provide the foundation. In my mind, platforms are flexible, scalable, and built for creating custom solutions. They give us the ability to develop, integrate, and innovate on top of a common framework. I believe that investing in a campus-wide AI platform that serves as the bedrock for much of what we’re doing across research, teaching, and operations is the right thing to do. It’s the engine that drives AI innovation and allows the community to participate at scale to create solutions tailored to unique needs.

Visual representation of the UT.AI platform.

Then there are AI products like M365 Copilot. Copilot enhances collaboration, improves workflow, and helps us get more out of the underlying Microsoft 365 platform we’ve already embraced. An AI product is standalone, one that fits into a larger AI strategy. It exists above or adjacent to our platform, enhancing daily operations while complementing the custom AI solutions we’re building.

Finally, there are AI features like Apple Intelligence, which come baked into devices like your iPhone. These are the quiet, background AI capabilities that make your user experience more intuitive and personalized. But by themselves, they’re limited in scope—enhancing specific tasks rather than transforming entire workflows.

The strategy that I am envisioning begins with a platform approach. It gives us the power to drive true innovation and adoption by the community. Providing a common platform does not preclude us from also investing in AI products like M365 Copilot, bringing in vertical solutions that can serve parts of the university. The platform is our foundation for building and adapting AI to meet the diverse needs of our students, faculty, and staff. By leveraging one platform at this level, it allows us the greatest chance to innovate, grow our internal expertise, and control our long-term success.

More AI at UT Thoughts

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At UT Austin, we see the AI revolution as a pivotal opportunity – not just to advance research, but to apply AI in ways that directly support our core values: People, Place, Experience, and Education. We’re committed to making AI an integral part of how we achieve our strategic goals across the entire University.

To that end, we have been partnering with KUNGFU.AI – an alumni owned and operated AI management and engineering firm – to help develop an ecosystem where we put the right tools, data, and capabilities in the hands of the incredible people across the Longhorn Nation.

Our approach should be built on ensuring scalability, security, and affordability. By consolidating our AI practice into a unified platform, we’ll have the opportunity to make it accessible to all, from undergraduates to faculty, without burdening departments with commercial-level costs. This ensures we’re providing the right resources to help close the digital divide and foster equitable innovation across campus.

Diagram of the UT.AI platform and approach.

Thinking about all of this at scale, we must also be mindful of affordability. At a place like UT Austin, with over 50,000 undergraduates and nearly 15,000 graduate students, let alone the over 10,000 faculty and staff, paying $20-$30 a month per license for AI tools gets expensive. By providing a consolidated AI platform, my vision is to ensure that everyone has access to these tools.

As a university, we have a huge number of advantages including our multi disciplinarity and federated structure. Our approach to AI innovation cannot be directive, but one that enables and supports. We want to ensure people have the resources they need, know where and how to ask the right questions, and get to the right use cases for AI. A distributed governance body responsible for enabling AI tool development while offering guidance on boundaries and parameters to ensure AI is used safely and responsibly will complement our platform approach and empower AI at UT. All the while encouraging and seeding innovation across campus.

I am incredibly optimistic and excited about the work that lies ahead. I know we can build an AI ecosystem that will continue our strength and reputation as a world-class institution.

Advancing the AI Revolution: What’s Next?

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For the last several years, I have tried not to be in the business of chasing trends. My early days leading ed tech organizations, I was always looking to adopt the next digital promise — the use of the internet, the new world that Web 2.0 gave us, mobility, tablets, blah. I’ve done a lot of thinking about the impact of all that evangelism and much of it isn’t immediately measurable. Disruptive technology is often an investment in future returns, but it requires playing a longer game. With AI, I’m not sure if that holds true — the returns may be much more immediate.

To me, that nudges me toward thinking more about the diffusion of AI to as diverse of a population as possible across campus. In today’s world, I can’t think of another digital investment one could make to immediately advance human potential holistically. Can you?

Three principles emerge in my mind: shrinking the digital divide, scaling AI expertise, and building strategic partnerships that fuel innovation.

  1. Shrinking the Digital Divide: AI has the potential to change everything, but only if we make it accessible. Providing AI tools to all members of the community will foster creativity at scale, from every possible perspective.
  2. Scaling AI Expertise: We are a community that’s engaged, curious, and ready to make change. Our advantage is that community. We should be scaling the expertise that’s already here and providing thought leadership across campus.
  3. Building Strategic AI Partnerships: I know that what we plan to do will require partnerships and that is how I am approaching these opportunities. I believe as the ways that we operate will only improve by leveraging this moment to modernize operations and infrastructure.

Here we are back to the start of something new. We get to build it from the ground up. That’s pretty exciting.

Leaders of the AI Revolution

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The AI landscape is evolving at lightning speed, and the rise of tools like ChatGPT and its counterpart Copilot is one of the most exciting developments I have seen in our space over the last 25 years. That is saying quite a bit given we have watched the rise of the Internet, the read/write web, and mobility during that time. Each of these breakthroughs was going to simultaneously save and destroy education; is this time different?

I’ve been spending many evenings diving into these tools, and I have to say, the potential here is beyond encouraging—it’s revolutionary. Whether you’re a faculty member balancing a mountain of research and student essays, a staff member managing endless administrative tasks, or a student trying to make sense of complex readings, these tools have the ability to supercharge your productivity and radically reshape how we work in higher education.

For faculty, ChatGPT can streamline so much of the administrative burden that clogs up valuable time. Imagine this: you feed in a list of objectives, and ChatGPT instantly creates a rubric for an assignment. Or when essays come in, you can ask it to do an initial assessment based on a rubric you both co-created. This doesn’t replace your role as an educator—it enhances it. It gives you the space to focus on deeper, more impactful teaching.

Using ChatGPT is like having a virtual assistant ready to handle routine tasks at breakneck speed. Planning meetings, organizing data, and even plowing through spreadsheets—ChatGPT handles it all with ease and precision. I recently had to tackle an organizational review on a group I barely knew. By feeding data into ChatGPT, I was able to create a comprehensive, compelling set of recommendations that took me just three hours. Without it, this would have been weeks of tedious work.

And for students, the possibilities are endless. Imagine being able to create a custom AI assistant for each class, one that can summarize readings, quiz you on tough concepts, and help you master material faster.

We have a responsibility to lead this charge across campus. Start experimenting with ChatGPT. See if it can actually help you solve problems in ways you’ve never thought possible. You might be surprised at how quickly this tool frees you up to focus on what really matters: transforming education for the better.

We are at the forefront of something monumental. It’s time for us to take the reins and lead the way forward. Let’s embrace this future together.

DALL-E generated illustration of AI in education.
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