Bradford “Brad” Greer (bottom) and Kevin Ge (top), both 2023 graduates from the George W. Woodruff School of Mechanical Engineering, have taken their startup, CADMUS Health Analytics, from a classroom project to a promising health tech company. In 2023, CADMUS was accepted into the CREATE-X Startup Launch program. Over the 12-week accelerator, CADMUS made significant strides, and program mentors provided expert guidance, helping the team focus their direction based on real-world needs. Their partnership with Northeast Georgia Health System (NGHS) was a direct result of connections made at Startup Launch’s Demo Day.

How did you first hear about CREATE-X?

We did the CREATE-X Capstone with an initial team of seven people, later transitioning to Startup Launch in the summer. Capstone required a hardware product, but for several reasons, we pivoted to software. By that point, we already had a grasp on the problem that we were working on but didn't have the resources to start working on a large hardware product.

Why did you decide to pursue your startup?

One of our close buddies was an emergency medical technician (EMT), and we also had family connections to EMTs. When we were doing our customer interviews, we found out that Emergency Medical Services (EMS) had multiple problems that we thought we'd like to work on and that were more accessible than the broader medical technology industry. 

What was Startup Launch like for you?

Startup Launch seemed to transition pretty seamlessly from the Capstone course. We came to understand our customer base and technical development better, and the program also led us through the process of starting and running a company. I found it very interesting and learned a whole lot.

What was the most difficult challenge in Startup Launch?

Definitely customer interviews. We spent a lot of time on that in the Startup Launch classes. It's a difficult thing to have a good takeaway from a customer interview without getting the conversation confused and being misled. We didn't mention the product, or we tried to wait as long as possible before mentioning the product, so as to not bias or elicit general, positive messaging from interviewees. 

We're working in EMS, and the products we are building affect healthcare. EMS is a little informal and a little rough around the edges. Many times, people don't want to admit how bad their practices are, which can easily lead to us collecting bad data. 

What affected you the most from Startup Launch?

The resources at our fingertips. When we were running around, it was nice to be able to consult with our mentor. It's great having someone around with the know-how and who's been through it themselves. I revisit concepts a lot.

How did the partnership with NGHS come about?

During Demo Day, we met a Georgia state representative. He put us in touch with NGHS. They were looking for companies to work with through their venture arm, Northeast Georgia Health Ventures(NGHV), so we pitched our product to them. They liked it, and then we spent a long time banging out the details. We worked with John Lanza, who's a friend of CREATE-X. He helped us find a corporate lawyer to read over the stuff we were signing. It took a little back and forth to get everything in place, but in September of last year, we finally kicked it off.

What’s the partnership like?

We provide them a license to our product, have weekly meetings where experts give feedback on the performance of the system, and then we make incremental changes to align the product with customer needs. 

While we're in this developmental phase, we're kind of keeping it under wraps until we make sure it’s fully ready. Our focus is primarily on emergent capabilities that NGHS and other EMS agencies are really looking for. Right now, the pilot is set to be a year long, so we're aiming to be ready for a full rollout by the end of the year. 

How did you pivot into this other avenue for your product?

EMS does not have many resources. That makes it not a popular space as far as applying emerging technologies. There's only competition in this very one specific vein, which is this central type of software that we plug into, so we're not competing directly with anyone.

EMS agencies, EMTs, and paramedics - the care that they give has to be enabled by a medical doctor. There has to be a doctor linked to the practices that they engage in and the procedures that they do. With the product that we're making now, we want to provide a low-cost, plug-and-play product that'll do everything they need it to do to enable the improvement of patient care. 

How are you supporting yourself during this period? 

I was paying myself last year, but we're out of money for that, so we're not currently paying for any labor. It's all equity now, but our burn rate outside of that is very low. The revenue we have now easily covers the cost of operating our system. I'm also working part-time as an EMT now. This helps cover my own costs while also deepening my understanding of the problems we are working on.

How are you balancing your work?

It's hard to balance. There's always stuff to do. I just do what I can, and the pace of development is good enough for the pilot. Every week, and then every month, Kevin and I sit down and analyze the rate at which we're working and developing. Then we project out. We're confident that we're developing at a rate that'll have us in a good spot by September when the pilot ends.

What’s a short-term goal for your startup?

Kevin and I are trying to reach back out and see if there's anyone interested in joining and playing a major role. The timing would be such that they start working a little bit after the spring semester ends. I think most Georgia Tech students would meet the role requirements, but generally, JavaScript and Node experience as well as a diverse background would be good.

Where do you want your startup to be in the next five years?

I want to have a very well-designed system. Despite all the vectors I’m talking about for our products, everything should be part of the same system in place at EMS agencies anywhere. I just want it to be a resource that EMS can use broadly.

Another issue in EMS is standards. Even the standards that are in place now aren’t broadly accessible. I think that these new AI tools can do a lot to bridge the lack of understanding of documentation, measures, and standards and make all of that more accessible for the layperson.

What advice would you give students interested in entrepreneurship?

Make sure the idea that you're working on, and the business model, is something you enjoy outside of its immediate viability. I think that's really what's helped me persevere. It's my enjoyment of the project that's allowed me to continue and be motivated. So, start there and then work your way forward.

Are there any books, podcasts, or resources you would recommend to budding entrepreneurs?

 I’d recommend Influence to prepare for marketing. I have no background in marketing at all. Influence is a nice science-based primer for marketing.

 I reread How to Win Friends and Influence People. I am not sure how well I'm implementing the concepts day-to-day, but I think most of the main points of that book are solid.

I also read The Mom Test. It's a good reference, a short text on customer interviews.

Want to build your own startup?

Georgia Tech students, faculty, researchers, and alumni interested in developing their own startups are encouraged to apply to CREATE-X's Startup Launch, which provides $5,000 in optional seed funding and $150,000 in in-kind services, mentorship, entrepreneurial workshops, networking events, and resources to help build and scale startups. The program culminates in Demo Day, where teams present their startups to potential investors. The deadline to apply for Startup Launch is Monday, March 17. Spots are limited. Apply now.

In today's data-driven world, supply chain professionals and business leaders are increasingly required to leverage analytics to drive decision-making. As companies invest in building data capabilities, one critical question emerges: Which programming language is best for supply chain analytics—Python or R?

Both Python and R have strong footholds in the analytics space, each with unique advantages. However, industry trends suggest a growing shift toward Python as the dominant tool for data science, machine learning, and enterprise applications. While R remains valuable in specific statistical and academic contexts, businesses must carefully assess which language aligns best with their analytics goals and workforce development strategies.

This article explores the strengths of each language and provides guidance for industry professionals looking to make informed decisions about which to prioritize for their teams.

Why Python Is Gaining Industry-Wide Adoption

1. Versatility and Scalability for Business Applications

Python has evolved into a comprehensive tool that extends beyond traditional analytics into automation, optimization, artificial intelligence, and supply chain modeling. Its key advantages include:

• Scalability: Python handles large-scale data processing and integrates seamlessly with cloud computing environments.
• Machine Learning and AI: Python’s ecosystem includes powerful machine learning libraries like scikit-learn, TensorFlow, and PyTorch.
• Integration Capabilities: Python works well with databases, APIs, and ERP systems, embedding analytics into operational workflows.

2. Workforce Readiness and Talent Development

From a talent perspective, Python is becoming the preferred programming language for data science and analytics roles. Surveys indicate that Python is used in 67% to 90% of analytics-related jobs, making it a crucial skill for professionals. Employers benefit from:

• A larger talent pool of Python-proficient professionals.
• A lower barrier to entry for new employees learning data analytics.
• The ability to streamline analytics processes across different functions.

3. Industry Adoption in Supply Chain Analytics

Python is widely adopted in logistics, manufacturing, and supply chain optimization due to its ability to handle:

• Demand forecasting and inventory optimization.
• Network modeling and simulation.
• Automation of data pipelines and reporting.
• Predictive maintenance and anomaly detection.

Why R Still Has a Place in Analytics

Despite Python’s widespread adoption, R remains a valuable tool in certain business contexts, particularly in statistical modeling and research applications. R’s strengths include:

• Advanced Statistical Analysis: R was designed for statisticians and remains a leader in econometrics and experimental design.
• Robust Visualization Capabilities: Packages like ggplot2 and Shiny make R a preferred choice for creating high-quality visualizations.
• Adoption in Public Sector and Academic Research: Many government agencies and research institutions continue to rely on R.

Strategic Considerations: Choosing Between Python and R

1. Business Needs and Analytics Maturity

• For companies focused on predictive analytics, automation, and AI, Python is the best choice.
• For organizations conducting deep statistical research or working with legacy R code, maintaining some R capabilities may be necessary.

2. Workforce Training and Skill Development

• Companies investing in analytics training should prioritize Python to align with industry trends.
• If statistical expertise is a core requirement, R may still play a supporting role in niche applications.

3. Tool and System Integration

• Python integrates more seamlessly with enterprise software, making it easier to operationalize analytics.
• R is often more specialized and may require additional effort to connect with business intelligence platforms.

4. Future Trends and Technology Evolution

• Python’s rapid growth suggests it will continue to dominate in analytics and AI.
• While R remains relevant, its role is becoming more specialized.

Final Thoughts: A Pragmatic Approach to Analytics Development

For most organizations, Python represents the future of analytics, offering the broadest capabilities, strongest industry adoption, and easiest integration into enterprise systems. However, R remains useful in specialized statistical applications and legacy environments.

A balanced approach might involve training teams in Python as the primary analytics language while maintaining an awareness of R for niche use cases. The key takeaway for business leaders is not just about choosing a programming language but ensuring their teams develop strong analytical problem-solving skills that transcend specific tools.

By strategically aligning analytics capabilities with business goals, organizations can build a more data-driven, adaptable, and future-ready workforce.

Years ago, I wrote a short and very simplistic post that can help explain why a country (or for that matter, any group of people) can run a trade deficit with another country (or again, any other group of people) and still grow their welfare (economy, wealth, etc.) faster than the other country. You can find it here. The post makes a number of basic points using a simple example. I’ll also repeat here that, these years later, I’m still not an economist and I’m not otherwise an expert on certain aspects of international trade. However, I am someone who thinks quite a bit about supply chains and thus, given the configuration of the modern global economy, I do think about international trade and transportation and the potential impact of various import tariffs on supply chains.

First, here is an update on the scale of international trade and its role within the US economy. I’ll use official trade statistics provided by the US Census Bureau. If we look at the trade of physical goods which is the first thing that most people think about when it comes to trade, the US imported US$3.112 trillion worth of goods in FY2023. That is simply a lot of stuff. Note that imported goods can be finished products that are distributed (eventually) through various retail channels to end consumers. But they can also be various inputs to production: supplies, components, or work-in-progress inventory that feeds US manufacturing enterprises. A very good example along these lines is Canadian heavy crude oil, shipped to US petroleum refineries as the key input to the production of refined petrochemicals like gasoline, jet fuel, and other products. You can read elsewhere why the US currently imports heavy crude from Canada when it (already) produces more crude oil than it consumes each year and is thus (already) a net exporter.

Most US consumers understand that large parts of our economy rely on imported goods. Fewer might think about the sheer scale of the US goods export economy. Looking again at FY2023, the US exported US$2.051 trillion worth of goods (includng some of that aforementioned US-drilled crude oil). Wow, again, that is a lot of stuff. But it is true that the balance of trade here currently favors imports over exports. Since we import more goods value than we export, we ran a goods trade deficit with the rest of the world of US$1.061 trillion in FY2023.

A large part of the US economy today is the provision of services and not goods. There are all sorts of services: food service, financial services, educational services, transportation services, consulting services, and so on. And the US does trade in services as well, both importing services from foreign providers while exporting services to foreign customers. In fact, the US ran a trade surplus in services of US$288 billion which reduced the overall net trade deficit to US$773 billion in FY2023.

Now let’s discuss tariffs for a bit, and let’s consider duties on imported goods. If the US places a 10% tariff on a bundle of goods (perhaps a specific category of goods from a specific set of countries), then importers of those goods must pay a customs duty on the declared goods before they can be moved into the US (so-called customs-clearing). As many have noted already, these importers-of-record are firms doing business in the US (or individuals) that have arranged for the importation. Examples of such importers include retailers like Walmart and producers like Ford and ExxonMobil. Customs duties collected go into the US Treasury, similar to personal income taxes, social security and Medicare taxes, and corporate income taxes. However, the fraction of US government revenue raised by tariffs has been very small for a long period of time. In FY2023, the total collected customs duties by the US Treasury was about US$80 billion. In fact, FY2023 trade was down a bit from FY2022 when total goods imports were US$3.35 trillion and total collected duties were US$112 billion, or an average duty of about 3.3%.

So, how much revenue could be raised by new tariffs? Let’s imagine a strange world where new US import duties did not distort the economy in any way: the same value of goods is assumed to be imported even though both demand for those goods would likely adjust and the purchasing power of each US$ might increase. If the average duty were increased to 10%, the total revenue produced to the US Treasury in FY2023 would have been US$311 billion. How about a 25% average tariff? Well, of course, US$778 billion. For comparison, the US Treasury received US$2.43 trillion in personal and US$530 billion in corporate income taxes in FY2023, an amount nearly equivalent to a universal 100% tariff on the imported goods value basis for all imported goods. The tiny yellow sliver in the figure below shows how little total customs duty revenue has been collected over time and how little changed it has been compared to other revenue sources.

Like any other tax, a tariff can be useful to governments as they seek to design mechanisms to fund (important) government activities while distorting economic activity to favor or disfavor various groups of people, businesses, investors, industries, nations, regions etc. It’s also safe to say that, like any other tax, it can be difficult to determine how economic activity will be specifically distorted by any specific tariffs. In fact, it may be more difficult with tariffs for a few reasons. The first is that unlike a sales tax, a tariff on imported goods occurs upstream of the point-of-sale. Instead, tariffs create increases in supply chain costs for importers, and the impact of tariffs on consumers depends on what happens as a result of these cost increases.

First, it should be noted that some supply chain cost increases cannot be borne at all and can lead to the elimination of some products in the marketplace. Why? A cost increase can lead a producer to decide that a product cannot be profitably produced and marketed, and this is true even if a replacement supply source with a lower (tariff-inclusive) cost of supply can be identified. A retailer may make a similar decision for an imported product. If producers or retailers continue to keep a product in the market, they could decide to lower its quality in some way or to pass on portions of the cost increase directly to its customers. But the supply chain cost persists; perhaps a different supplier could be identified not subject to the tariff, but if that supplier were already providing the same input at the same quality for a lower price they would be used already. Since profitability is likely to be impacted, owners and investors as well as employees of the importer will also likely to be impacted. These interactions are all naturally somewhat complex and the outcome is difficult to predict.

I’ll finish with a thought. If a government wishes to use new tariffs to yield a political outcome beyond simply raising revenue, they will likely need to be designed to produce a significant (and noticeable) distortion to some portion of the economy. If the distortion is mild, no change of behavior seems likely to occur. It seems as if the US is about to attempt some new experimentation with tariffs to both influence the behavior of trade partner nations and to create a significant government revenue source. We will likely get to see firsthand what kind of economic distortion they induce.

When Air Force veteran Michael Trigger began looking for a new career in 2022, he became fascinated by artificial intelligence (AI). Trigger, who left the military in 1989 and then worked in telecommunications, corrections, and professional trucking, learned about an AI-enhanced robotics manufacturing program at the VECTR Center. This training facility in Warner Robins, Georgia, helps veterans transition into new careers. In 2024, he enrolled and learned how to program and operate robots.

As part of the class, Trigger made several trips to the Georgia Tech Manufacturing Institute (GTMI). When the faculty asked if anyone wanted an internship, Trigger raised his hand. 

“Coming to Georgia Tech allowed me to clarify what I wanted to do,” he said. “I’ve always been in service-based jobs, but I was interested in additive manufacturing,” or 3D printing.

For five months every weekday, Trigger drove from his home in Macon to Georgia Tech’s campus for his internship. The paid internship took place at Tech’s Advanced Manufacturing Pilot Facility (AMPF). This 20,000-square-foot, reconfigurable facility serves as the research and development arm of GTMI, functioning as a teaching laboratory, technology test bed, and workforce development space for manufacturing innovations.

During his time there, Trigger focused on computer-aided manufacturing and met with faculty and students to learn about their research. The internship wasn’t convenient, but it was worth it. 

“From our campus visits, I understood the mission of AMPF, so the fact they offered me this opportunity was huge for me,” he said. “The internship had a big impact on my life in terms of the technical and soft skills I gained.”

Building the Workforce

Launching new careers is just one of AMPF’s goals in testing new manufacturing and growing the future U.S. workforce. Since 2022, AMPF has improved the manufacturing process at all parts of the talent pipeline — from giving corporate researchers space to test and adopt AI automation technologies to training and upskilling their employees. Collectively, GTMI and AMPF’s efforts have led to a stronger, bigger network of manufacturers that other companies and the U.S. government can rely on. 

“We are going to need to manufacture more in the U.S. — from computer chips to cars — so we want to create jobs and fill them,” said Tom Kurfess, GTMI’s executive director. “We need more people working in the manufacturing sector, and we've got to make these jobs better and make people more efficient in them.” 

AI is one way to boost efficiency, but artificial intelligence won’t cut humans out of the process entirely. Rather, people will be integral to monitoring the systems and advancing them. As AI becomes more widely adopted, a college degree won’t necessarily be required to work in the AI field.

“Our workforce is going to need the next generation of employees to be amenable to retraining as the technology updates,” said Aaron Stebner, a co-director of the Georgia Artificial Intelligence Manufacturing program (AIM). A statewide program, Georgia AIM helps fund AMPF and sponsored Trigger’s internship. “Education is going to be more of a lifelong learning process, and Georgia Tech can be at the forefront of that.”

While GTMI already integrates AI into many processes, it remains committed to staying ahead of the curve with the latest technologies that could boost manufacturing. The facility is in the process of an expansion that will nearly triple its size and make AMPF the leading facility for demonstrating what a hyperconnected and AI-driven manufacturing enterprise looks like. This will enable GTMI to build and sustain these educational pipelines, which is key to its work.

“We’re developing the workforce for the future, not of the future,” explained Donna Ennis, a co-director of Georgia AIM. “It’s AI today, but it could be something else five years from now. We are focused on creating a highly skilled, resilient workforce.”

Part of Georgia AIM’s role is creating the pipelines that people like Trigger can follow. From bringing a mobile lab to technical colleges to hosting robotics competitions at schools, these efforts span the state of Georgia and touch populations from “K to gray.” 

“Kids don’t say they want to be a manufacturer when they grow up, but that’s because they don’t know it’s a viable career path,” Ennis said. “We’re making manufacturing cool again.”

Creating Corporate Connection

To create these job opportunities, GTMI is also partnering with corporations. Companies can join a consortium to access the AMPF research facilities and collaborate with researchers. Any size or type of company can take advantage of AMPF facilities — from corporations including AT&T and Siemens to small startups like Alegna, which licenses and commercializes Navy research.

“The ability to manufacture domestically is critical, not only for national security purposes, but also to keep the U.S. economically competitive,” said Steven Ferguson, a principal research scientist and executive director for the GT Manufacturing 4.0 Consortium. “Having the AMPF puts Georgia Tech within the innovation epicenter for these areas and will help us reshore manufacturing.”

The benefit of such an arrangement is twofold. Companies can work with the newest manufacturing technologies and make their own advances, and Georgia Tech builds a network of manufacturers across the state and world that students can work with. For example, AT&T uses the AMPF to test sensors for expanding personal 5G networks, and George W. Woodruff School of Mechanical Engineering Professor Carolyn Seepersad has Ph.D. students funded by a Siemens partnership through AMPF.

Trigger was able to connect and collaborate with some of these corporations and researchers during his internship. “I told them about my interest in machine learning because I wanted to see how they were integrating machine learning into their research projects,” he said. “All of them invited me to come by to observe and be part of the research.”

Starting a New Path

Because of his research collaborations during his AMPF internship, Trigger now has a new focus. “The internship clarified for me that AI is where everybody is going,” he explained. He wants to be at the forefront of AI manufacturing and hopes to pursue a certificate in machine learning next.

While he knows he still has much to learn, AMPF gave Trigger a foot in the door and confidence about the future. He — and other veterans like him — will help build the workforce that propels America forward in manufacturing.

The new year provides a natural opportunity to refocus on professional growth. For busy supply chain professionals, development planning can often fall to the bottom of the priority list, especially amidst the daily challenges of managing operations and responding to disruption. Yet, this intentional focus on skill-building is more critical than ever.

As Managing Director of the Supply Chain and Logistics at Georgia Tech, I’ve seen firsthand how development planning can elevate individual careers, strengthen teams, and improve organizational resilience. However, the key to making it work lies in balancing the demands of day-to-day operations with actionable, targeted development efforts.

The Reality of Development Windows

The structure of the working calendar doesn’t make development planning easy. Between the end-of-year holiday season and summer vacation months, supply chain professionals face two primary windows for development:

• Spring (February through May): Coming off the end-of-year slowdown, spring provides the first extended opportunity to focus on growth.
• Fall (Mid-August through Mid-November): After summer, fall offers a second chance to refocus before the holiday rush begins.

For supply chain professionals, these windows represent critical periods to upskill and prepare for the evolving demands of the industry. The spring window is upon us, making now the perfect time to act with urgency and purpose.

The “Why” of Development Planning

In supply chain, the "why" behind development planning is straightforward: the industry is changing faster than ever. New technologies, shifting global trade patterns, and the increasing complexity of operations demand professionals who are both technically skilled and strategically agile.

The supply chain leaders of tomorrow must excel in areas like:

• Data and Analytics: Understanding data and leveraging it for decision-making is no longer optional.
• Automation and Technology: From warehouse robotics to AI-powered forecasting, supply chain professionals need to be tech-savvy to stay relevant.
• Resilience and Risk Management: Building robust supply chains capable of withstanding disruption is now a core competency.

The “What” of Development Planning: Key Focus Areas

Development can be broken into two primary areas:

1. Core Competencies (In-House):

• Communication: Clear, concise, and persuasive communication is critical for collaboration.
• Problem-Solving: Supply chains are inherently complex, and professionals must excel at diagnosing and resolving issues.
• Leadership and Teamwork: Even non-managers need strong leadership and collaboration skills to succeed in today’s cross-functional environments.

Here is a link to one of the best competency guides out there: FYI Resource Center

2. Technical and Operational Skills:

• Advanced Analytics and Visualization: Skills in tools like Power BI, Tableau, or Python are becoming industry standards.
• Supply Chain Systems and Automation: Understanding the functionality and implementation of WMS, TMS, and other critical systems is vital.
• Sustainability and Compliance: Professionals need to navigate increasingly complex sustainability requirements and global regulations.

Beyond these newer technical areas, there remain significant gaps in the application of many core supply chain processes—gaps that cannot be overlooked:

• Production and Inventory Planning: Effective planning processes are critical, yet many organizations struggle to optimize them to balance demand and capacity.
• Warehouse Operations and Optimization: Opportunities remain to improve material flow, labor efficiency, and space utilization in warehouse environments.
• Manufacturing Asset Reliability and Output: Ensuring consistent and reliable equipment performance is essential to maintaining throughput and meeting customer expectations.
• Tradeoff Analysis for Purchasing Decisions: Striking the right balance between low cost, resilience, and sustainability is an increasingly complex challenge, especially in the face of rising customer and consumer pressure for speed and service.

A Quick Action Plan Using the 70/20/10 Model

For supply chain professionals with limited time and access to leading practices, the 70/20/10 model offers a practical framework for development:

• 70% Experiential Learning: Apply learning directly in your work.
• 20% Social Learning: Learn from others in your network or organization.
• 10% Formal Learning: Invest in structured learning opportunities.

Please see attached figure 1 for Development Plan Example to improve Warehouse Operations Capability

Here is a link to a free Individual development GPT in Chat GPT: Individual Development Plan Builder

Call to Action: Take 30 Minutes to Plan Today

For busy professionals, the biggest hurdle to development planning is often finding the time. But a well-crafted development plan doesn’t have to take hours. Here's how you can get started in just 30 minutes:

1. Reflect on Your Growth Needs (10 Minutes): Where do I need to grow most?
2. Set Three Development Goals (10 Minutes): Identify experiential, social, and formal learning goals.
3. Identify Next Steps (10 Minutes): Write down one immediate action for each goal.
4. Schedule time with Manager to review proposed plan and schedule monthly check-ins

Development as a Competitive Advantage

The pace of change in supply chain operations is relentless, but professionals who make development a priority can turn that challenge into a competitive advantage. By leveraging the 70/20/10 model and focusing on intentional, actionable planning, you can position yourself—and your team—for success.

Don’t let this spring window pass without taking steps toward growth. Whether it’s mastering a new technology, improving core processes, or navigating tradeoff decisions, the time to act is now. If your growth plan includes professional education, consider how the Supply Chain and Logistics Institute and Georgia Tech Professional Education might benefit you!

Gold and white pompoms fluttered while Buzz, the official mascot of the Georgia Institute of Technology, danced to marching band music. But the celebration wasn’t before a football or basketball game — instead, the cheers marked the official launch of Georgia AIM Week, a series of events and a new mobile lab designed to bring technology to all parts of Georgia

Organized by Georgia Artificial Intelligence in Manufacturing (Georgia AIM), Georgia AIM Week kicked off September 30 with a celebration on the Georgia Institute of Technology campus and culminated with another celebration on Friday at the University of Georgia in Athens and aligned with National Manufacturing Day.

In between, the Georgia AIM Mobile Studio made stops at schools and community organizations to showcase a range of technology rooted in AI and smart technology.

“Georgia AIM Week was a statewide opportunity for us to celebrate Manufacturing Day and to launch our Georgia AIM Mobile Studio,” said Donna Ennis, associate vice president, community-based engagement, for Georgia Tech’s Enterprise Innovation Institute and Georgia AIM co-director. “Georgia AIM projects planned events in cities around the state, starting here in Atlanta. Then we headed to Warner Robins, Southwest Georgia, and Athens. We’re excited about the opportunity to bring this technology to our communities and increase access and ideas related to smart technology.”

Georgia AIM is a collaboration across the state to provide the tools and knowledge to empower all communities, particularly those that have been underserved and overlooked in manufacturing. This includes rural communities, women, people of color, and veterans. Georgia AIM projects are located across the state and work within communities to create a diverse AI manufacturing workforce. The federally funded program is a collaborative project administered through Georgia Tech’s Enterprise Innovation Institute and the Georgia Tech Manufacturing Institute.

A cornerstone of Georgia AIM Week was the debut of the Georgia AIM Mobile Studio, a 53-foot custom trailer outfitted with technology that can be used in manufacturing — but also by anyone with an interest in learning about AI and smart technology. Visitors to the mobile studio can experience virtual reality, 3-D printing, drones, robots, sensors, computer vision, and circuits essential to running this new tech.

There’s even a dog — albeit a robotic one — named Nova.

The studio was designed to introduce students to the possibilities of careers in manufacturing and show small businesses some of the cost-effective ways they can incorporate 21st century technology into their manufacturing operations.

“We were awarded about $7.5 million to build this wonderful studio here,” said Kenya Asbill, who works at the Russell Innovation Center for Entrepreneurs (RICE) as the Economic Development Administration project manager for Georgia AIM. “We will be traveling around the state of Georgia to introduce artificial intelligence in manufacturing to our targeted communities, including underserved rural and urban residents.”

Some technology on the Georgia AIM Mobile Studio was designed in consultation with project partners Kitt Labs and Technologists of Color. An additional suite of “technology vignettes” were developed by students at the University of Georgia College of Engineering. RICE and UGA served as project leads for the mobile studio development, and RICE will oversee its deployment across the state in the coming months.

To request a mobile studio visit, please visit the Georgia AIM website.

During Monday’s kickoff, the Georgia Tech cheerleaders and Buzz fired up the crowd before an event that featured remarks by Acting Assistant Secretary of the U.S. EDA Christina Killingsworth; Jay Bailey, president and CEO of RICE; Beshoy Morkos, associate professor of mechanical engineering at the University of Georgia; Aaron Stebner, co-director of Georgia AIM; David Bridges, vice president of Georgia Tech’s Enterprise Innovation Institute; and lightning presentations by Georgia AIM project leads from around the state.

Following the presentations, mobile studio tours were led by Jon Exume, president and executive director, and Mark Lawson, director of technology, for Technologists of Color. The organization works to create a cohesive and thriving community of African Americans in tech.

“I’m particularly excited to witness the launch of the Georgia AIM Mobile Studio. It really will help demystify AI and bring its promise to underserved rural areas across the state,” Killingsworth said. “AI is the defining technology of our generation. It’s transforming the global economy, and it will continue to have tremendous impact on the global workforce. And while AI has the potential to democratize access to information, enhance efficiency, and allow humans to focus on the more complex, creative, and meaningful aspects of work, it also has the power to exacerbate economic disparity. As such, we must work together to embrace the promise of AI while mitigating its risks.”

Other events during Georgia AIM week included the Middle Georgia Innovation Corridor Manufacturing Expo in Warner Robins, West Georgia Manufacturing Day – Student Career Expo in LaGrange, and a visit to Colquitt County High School in Moultrie. The week wrapped on Friday, Oct. 4, at the University of Georgia in Athens with a National Manufacturing Day celebration.

“We’re focused on growing our manufacturing economy,” Ennis said. “We’re also focused on the development and deployment of innovation and talent in the manufacturing industry as it relates to AI and other technologies. Manufacturing is cool. It is a changing industry. We want our students and younger people to understand that this is a career.”

Tequila A.L. Harris, a professor in the George W. Woodruff School of Mechanical Engineering at Georgia Tech, leads energy and manufacturing initiatives at the Strategic Energy Institute. Her research explores the connectivity between the functionality of nano- to macro-level films, components, and systems based on their manufacture or design and their life expectancy, elucidating mechanisms by which performance or durability can be predicted. She uses both simulations and experimentation to better understand this connectivity.

By addressing complex, fundamental problems, Harris aims to make an impact on many industries, in particular energy (e.g., polymer electrolyte membrane fuel cells), flexible electronics (e.g., organic electronics), and clean energy (e.g., water), among others. 

Harris has experience in developing systematic design and manufacturing methodologies for complex systems that directly involve material characterization, tooling design and analysis, computational and analytical modeling, experimentation, and system design and optimization. Currently, her research projects focus on investigating the fundamental science associated with fluid transport, materials processing, and design issues for energy/electronic/environmental systems. Below is a brief Q&A with Harris, where she discusses her research and how it influences the energy and manufacturing initiatives at Georgia Tech.

• What is your field of expertise and at what point in your life did you first become interested in this area?

In graduate school, I aimed to become a roboticist but shifted my focus after realizing I was not passionate about coding. This led me to explore manufacturing, particularly scaled manufacturing processes that transform fluids into thin films for applications in energy systems. Subsequently, my expertise is in coating science and technology and manufacturing system development. 

• What questions or challenges sparked your current energy research? What are the big issues facing your research area right now?

We often ask how we can process materials more cost-effectively and create complex architectures that surpass current capabilities. In energy systems, particularly with fuel cells, reducing the number of manufacturing steps is crucial, as each additional step increases costs and complexity. As researchers, we focus on understanding the implications of minimizing these steps and how they affect the properties and performance of the final devices. My group studies these relationships to find innovative manufacturing solutions. A major challenge in the manufacture of materials lies in scaling efficiently while maintaining performance and keeping costs low enough for commercial adoption. This is a pressing issue, especially for enabling technologies such as batteries, fuel cells, and flexible electronics needed for electric vehicles, where the production volumes are on the order of billions per year. 

• What interests you the most in leading the research initiative on energy and manufacturing? Why is your initiative important to the development of Georgia Tech’s energy research strategy?

What interests me most is the inherent possibility of advancing energy technologies holistically, from materials sourcing and materials production to public policy. More specifically, my interests are in understanding how we can scale the manufacture of burgeoning technologies for a variety of areas (energy, food, pharmaceuticals, packaging, and flexible electronics, among others) while reducing cost and increasing production yield. In this regard, we aim to incorporate artificial intelligence and machine learning in addition to considering limitations surrounding the production lifecycle. The challenges that exist to meet these goals cannot be done in a silo but rather as part of interdisciplinary teams who converge on specific problems. Georgia Tech is uniquely positioned to make significant impacts in the energy and manufacturing ecosystem, thanks to our robust infrastructure and expertise. With many manufacturers relocating to Georgia, particularly in the "energy belt" for EVs, batteries, and recycling facilities, Georgia Tech can serve as a crucial partner in advancing these industries and their technologies.

• What are the broader global and social benefits of the research you and your team conduct on energy and manufacturing?

The global impact of advancing manufacturing technologies is significant for processing at relevant economy of scales. To meet such demands, we cannot always rely on existing manufacturing know-how.  The Harris group holds the intellectual property on innovative processes that allow for the faster fabrication of individual or multiple materials, and that exhibit higher yields and improved performance than existing methods. Improvements in manufacturing systems often result in reduced waste, which is beneficial to the overall materials development ecosystem. Another global and societal benefit is workforce development. The students on my team are well-trained in the manufacture of materials using tools that are amenable to the most advanced and scalable manufacturing platform, roll-to-roll manufacturing, with integrated coating and printing tools. This unique skill set equips our students to thrive and become leaders in their careers.

• What are your plans for engaging a wider Georgia Tech faculty pool with the broader energy community?

By leveraging the new modular pilot-scale roll-to-roll manufacturing facility that integrates slot die coating, gravure/flexography printing, and inkjet printing, I plan to continue reaching out to faculty and industrial partners to find avenues for us to collaborate on a variety of interdisciplinary projects. The goal is to create groups that can help us advance materials development more rapidly by working as a collective from the beginning, versus considering scalable manufacturing pathways as an afterthought. By bringing interdisciplinary groups (chemists, materials scientists, engineers, etc.) together early, we can more efficiently and effectively overcome traditional delays in getting materials to market or, worse, the inability to push materials to market (which is commonly known as the valley of death). This can only be achieved by dismantling barriers that hinder early collaboration. This new facility aims to foster collaborative work among stakeholders, promoting the integrated development and characterization of various materials systems and technologies, and ultimately leading to more efficient manufacturing practices.

• What are your hobbies? 

I enjoy cooking and exploring my creativity in this space by combining national and international ingredients to make interesting and often delicious fusion cuisines. I also enjoy roller skating, cycling, and watching movies with my family and friends. 

• Who has influenced you the most?

From a professional standpoint, my research team influences me the most. After I present them with a problem, they are encouraged and expected to think beyond our initial starting point.  This ability to freely think and conceive of novel solutions sparks many new ideas on which to build future ideas. The best cases have kept me up at night, inspiring me to think about how to approach new problems and funding opportunities. I carry their experiences and challenges with me. Their influence on me is profound and is fundamentally why I am a professor.