Business
Ready for AI’s role in the business world
When ChatGPT debuted in late 2022, it sent shockwaves through the business world.
As companies around the world continue to grapple with how to use artificial intelligence in their day-to-day operations, students from all majors in the Marquette College of Business Administration are learning to harness the technology. And beginning this semester, a new AI for All course is integrated into the college-wide business curriculum, providing undergraduates a critical overview of AI technology and a primer on how it can help drive innovation in business.
The design of the new course was a joint effort involving multiple faculty members from across the college. “We made it a comprehensive course,” says Dr. Joe Wall, Donald F. Flynn and Beverly L. Flynn Chair of Accounting Ethics and Disruptive Technologies. “It doesn’t matter what a business student’s major or discipline is; businesses can be assured that if they hire a Marquette graduate, [our students] have the basics of this cutting edge of technology.”
“Businesses can be assured that if they hire a Marquette graduate, [our students] have the basics of this cutting edge of technology.”
Joe Wall, chair of accounting ethics and disruptive technologies
AI for All is taught in five modules that cover applied AI and data; generative AI and large language models, or LLMs; generating code for and with AI; data science automation for business; and ethical implications of AI in the business world. The modular structure allows instructors to be nimble and update the course regularly — a necessity, given the rapid rate of change in AI technology and its uses across industries.
AI for All will be a requirement for every first-year student in the College of Business Administration starting this coming fall. Dr. Terence Ow, professor of information systems and analytics and WIPFLI Fellow in Artificial Intelligence, emphasizes the value of students taking the course early in their time at Marquette. “The course prepares students to dive deeper into the world of AI and leverage/augment their AI knowledge across the majors they are interested since AI will be infused across many business functions. Students can bring additional AI insights or responsible use principles and interesting conversation points to the future courses they take.”
Exploring AI’s potential — and thinking critically about its shortcomings
Students from every business major have already been exploring AI’s potential and creating their own AI tools. In Dr. Brian Spaid’s digital marketing classes, students use generative AI to assist in creating marketing personas, which are profiles of a company’s ideal customer. “The fact of the matter is, when students go out into the marketplace, they’re more likely than not going to be asked to use some of these tools,” says Spaid, department chair and associate professor of marketing. “That doesn’t mean that I expect them to be reliant on these technologies, but that they have some exposure to it and that they understand the uses and also the limitations.”
AI’s shortcomings include bias and hallucinations, which are “a byproduct of the AI wanting to sound right, not necessarily be right,” Spaid explains. LLMs work similarly to predictive text messaging by plugging in words the AI calculates as a good fit, but that may not make sense in context. At Marquette, students are learning not just how to prompt AI for information and results, but also how to evaluate AI-generated material and parse the good from the bad.
“The output from these systems should always be a starting point,” Spaid says. “It should never be the final output.”
Assessing AI output is a skill that students will rely on in the workplace, and sharpening that skill begins with the fundamentals of their business education, Ow says, “If you have some understanding of the basics of business, the basics of anything including AI, you can say, okay, something is not right with this result. Why is it behaving this way now?”
Learning preliminary programming and code
In AI for All, students also learn the basics of coding. “By breaking down how AI works, students are taking a look under the hood of the technology to have a better grasp on using AI as a tool,” says Jeremy Lee, Assistant Professor of Information Systems and Analytics. “This will enable students to understand and be cautious of potential bias and hallucinations in the outputs and make necessary modifications accordingly – rather than treat AI as a black box.”
“Learning a programming language is not just learning a programming language; you’re also learning about problem-solving skills,” says Dr. April Song, assistant professor of information systems and analytics and WIPFLI Fellow in Artificial Intelligence. “That skill can be transferred to all levels of your life. It’s beyond just a programming language.”
The aim of AI for All isn’t for all students to gain the technical prowess to write advanced code or become data engineers. Every business student at Marquette will leave with a deeper understanding of the technology and with hands-on experience that will help them wield AI effectively and responsibly on the job.
“We are not teaching business students to be technicians,” Ow says. “We have to teach them how to use this tool to help them make decisions.”
This unique combination of decision-making expertise and hands-on AI experience gives Marquette students a distinct advantage as they enter the workforce. “These are the skills that employers don’t even realize they need yet,” says Dr. Badar Al Lawati, program director for business analytics. “Our goal is to ensure that every Marquette College of Business student is highly tech-enabled, setting them apart from graduates of other universities. By integrating AI into their skillset, our students bring a fresh, innovative perspective to their careers—one that challenges conventional thinking in their fields and drives real impact.”
Business
AI video becomes more convincing, rattling creative industry
[NEW YORK] Gone are the days of six-fingered hands or distorted faces – artificial intelligence (AI)-generated video is becoming increasingly convincing, attracting Hollywood, artists, and advertisers, while shaking the foundations of the creative industry.
To measure the progress of AI video, you need only look at Will Smith eating spaghetti.
Since 2023, this unlikely sequence – entirely fabricated – has become a technological benchmark for the industry.
Two years ago, the actor appeared blurry, his eyes too far apart, his forehead exaggeratedly protruding, his movements jerky, and the spaghetti did not even reach his mouth.
The version published a few weeks ago by a user of Google’s Veo 3 platform showed no apparent flaws whatsoever.
“Every week, sometimes every day, a different one comes out that’s even more stunning than the next,” said Elizabeth Strickler, a professor at Georgia State University.
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Between Luma Labs’ Dream Machine, launched in June 2024, OpenAI’s Sora in December, Runway AI’s Gen-4 in March 2025, and Veo 3 in May, the sector has crossed several milestones in just a few months.
Runway has signed deals with Lionsgate studio and AMC Networks television group.
Lionsgate vice-president Michael Burns told New York Magazine about the possibility of using AI to generate animated, family-friendly versions from films such as the John Wick or Hunger Games franchises, rather than creating entirely new projects.
“Some use it for storyboarding or previsualization” – steps that come before filming – “others for visual effects or inserts”, said Jamie Umpherson, Runway’s creative director.
Burns gave the example of a script for which Lionsgate has to decide whether to shoot a scene or not.
To help make that decision, they can now create a 10-second clip “with 10,000 soldiers in a snowstorm”.
That kind of pre-visualisation would have cost millions before.
In October, the first AI feature film was released, Where the Robots Grow, an animated film without anything resembling live action footage.
For Alejandro Matamala Ortiz, Runway’s co-founder, an AI-generated feature film is not the end goal, but a way of demonstrating to a production team that “this is possible”.
Resistance everywhere
Still, some see an opportunity.
In March, startup Staircase Studio made waves by announcing plans to produce seven to eight films per year using AI for less than US$500,000 each, while ensuring it would rely on unionised professionals wherever possible.
“The market is there,” said Andrew White, co-founder of small production house Indie Studios.
People “don’t want to talk about how it’s made”, White pointed out. “That’s inside baseball. People want to enjoy the movie because of the movie.”
But White himself refuses to adopt the technology, considering that using AI would compromise his creative process.
Jamie Umpherson argues that AI allows creators to stick closer to their artistic vision than ever before, since it enables unlimited revisions, unlike the traditional system constrained by costs.
“I see resistance everywhere” to this movement, observed Georgia State’s Strickler.
This is particularly true among her students, who are concerned about AI’s massive energy and water consumption as well as the use of original works to train models, not to mention the social impact.
But refusing to accept the shift is “kind of like having a business without having the internet”, she said. “You can try for a little while.”
In 2023, the American actors’ union SAG-AFTRA secured concessions on the use of their image through AI.
Strickler sees AI diminishing Hollywood’s role as the arbiter of creation and taste, instead allowing more artists and creators to reach a significant audience.
Runway’s founders, who are as much trained artists as they are computer scientists, have gained an edge over their AI video rivals in film, television, and advertising.
But they are already looking further ahead, considering expansion into augmented reality and virtual reality, for example, creating a metaverse where films could be shot.
“The most exciting applications aren’t necessarily the ones that we have in mind,” said Umpherson. “The ultimate goal is to see what artists do with technology.” AFP
Business
AI video becomes more convincing, rattling creative industry
AI (Artificial Intelligence) letters and robot miniature in this illustration. The creative industry is concerned over the rapid developments in AI-generated videos. REUTERS/Dado Ruvic/Illustration/File Photo
NEW YORK, United States – Gone are the days of six-fingered hands or distorted faces — AI-generated video is becoming increasingly convincing, attracting Hollywood, artists, and advertisers, while shaking the foundations of the creative industry.
To measure the progress of AI video, you need only look at Will Smith eating spaghetti.
Since 2023, this unlikely sequence — entirely fabricated — has become a technological benchmark for the industry.
READ: How investments in reskilling, building trust can help Philippine firms navigate AI era
Two years ago, the actor appeared blurry, his eyes too far apart, his forehead exaggeratedly protruding, his movements jerky, and the spaghetti didn’t even reach his mouth.
The version published a few weeks ago by a user of Google’s Veo 3 platform showed no apparent flaws whatsoever.
“Every week, sometimes every day, a different one comes out that’s even more stunning than the next,” said Elizabeth Strickler, a professor at Georgia State University.
Between Luma Labs’ Dream Machine launched in June 2024, OpenAI’s Sora in December, Runway AI’s Gen-4 in March 2025, and Veo 3 in May, the sector has crossed several milestones in just a few months.
Runway has signed deals with Lionsgate studio and AMC Networks television group.
Lionsgate vice president Michael Burns told New York Magazine about the possibility of using artificial intelligence to generate animated, family-friendly versions from films like the “John Wick” or “Hunger Games” franchises, rather than creating entirely new projects.
“Some use it for storyboarding or previsualization” — steps that come before filming — “others for visual effects or inserts,” said Jamie Umpherson, Runway’s creative director.
Burns gave the example of a script for which Lionsgate has to decide whether to shoot a scene or not.
To help make that decision, they can now create a 10-second clip “with 10,000 soldiers in a snowstorm.”
That kind of pre-visualization would have cost millions before.
In October, the first AI feature film was released — “Where the Robots Grow” — an animated film without anything resembling live action footage.
For Alejandro Matamala Ortiz, Runway’s co-founder, an AI-generated feature film is not the end goal, but a way of demonstrating to a production team that “this is possible.”
‘Resistance everywhere’
Still, some see an opportunity.
In March, startup Staircase Studio made waves by announcing plans to produce seven to eight films per year using AI for less than $500,000 each, while ensuring it would rely on unionized professionals wherever possible.
“The market is there,” said Andrew White, co-founder of small production house Indie Studios.
People “don’t want to talk about how it’s made,” White pointed out. “That’s inside baseball. People want to enjoy the movie because of the movie.”
But White himself refuses to adopt the technology, considering that using AI would compromise his creative process.
Jamie Umpherson argues that AI allows creators to stick closer to their artistic vision than ever before, since it enables unlimited revisions, unlike the traditional system constrained by costs.
“I see resistance everywhere” to this movement, observed Georgia State’s Strickler.
This is particularly true among her students, who are concerned about AI’s massive energy and water consumption as well as the use of original works to train models, not to mention the social impact.
But refusing to accept the shift is “kind of like having a business without having the internet,” she said. “You can try for a little while.”
In 2023, the American actors’ union SAG-AFTRA secured concessions on the use of their image through AI.
Strickler sees AI diminishing Hollywood’s role as the arbiter of creation and taste, instead allowing more artists and creators to reach a significant audience.
Runway’s founders, who are as much trained artists as they are computer scientists, have gained an edge over their AI video rivals in film, television, and advertising.
But they’re already looking further ahead, considering expansion into augmented reality and virtual reality — for example creating a metaverse where films could be shot.
“The most exciting applications aren’t necessarily the ones that we have in mind,” said Umpherson. “The ultimate goal is to see what artists do with technology.”
Business
Three ways you can make AI generate business leads for you
For quite a while now, people within the business community have been talking about how AI continues to improve task efficiency and streamline operations, but few are truly exploring how this new era is affecting new business lead generation.
Since opening Agent99’s doors 18 years ago, part of my new business strategy has simply been to ask people how they found us. The majority of our leads come through referrals, followed by Google. However, just last week, I was on two new business calls and when I asked both prospects how they came across Agent99, they gave the same surprising response: “by asking ChatGPT”.
Where consumers and clients once relied on Google for recommendations, be it agencies, restaurants, dry cleaners, or anything in between, that’s no longer the default.
Today, people are entering these same queries into AI tools and expecting real-time, curated answers based on a mix of web data, reviews, and sentiment. And this shift has caught many business owners off guard. A high Google ranking no longer guarantees your business will be visible or recommended through AI platforms. All that work on your SEO strategy? It’s no longer the only game in town.
This was a light bulb moment for me as a business owner. If you’re not thinking about how you rank on AI platforms and prioritising this, you’re losing new business opportunities.
When I took a deeper look at why we were ranking so well on ChatGPT, and how this new kind of ‘search engine’ prioritises content, I realised (after some thorough research) that it’s because we’ve consistently focussed on our own PR (ie third party credible endorsement), winning awards, garnering reviews from our clients, and reporting on our marketing campaigns on our own website blog and social pages. This is what AI platforms prioritise when making recommendations.
So, if you’ve noticed a dip in leads lately or you simply want to boost your company’s visibility in the AI space, here are three strategies I strongly recommend.
Make your SEO plan AI-friendly
It’s no longer enough to optimise your company website for Google alone. Instead of short, Boolean-style search queries, people are now asking long-form, conversational questions. And in response, tools like ChatGPT are generating concise, curated answers drawn from a wide range of sources — with a clear preference for natural, human-sounding language.
It might seem ironic that AI prefers human content, but it’s the new reality.
To match this, we recommend rewriting key pages on your website, starting with your ‘About’, ‘Services’ and ‘Home’ pages, using language that mirrors how real people would ask for your services in everyday conversation.
For example, instead of writing: “We deliver integrated management solutions,” try: “We help Australian businesses develop management strategies that support sustainable growth”.
If relevant, start a blog that directly answers the kinds of questions people might be asking ChatGPT, and think carefully about how they’re asking them. Once you’ve mapped out your content strategy, commit to publishing consistently. AI platforms favour businesses that post regularly and demonstrate long-term authority in their field.
Prioritise earned media and content
AI tools place more weight on what others say about your business than what you say about yourself. So, while your website content is important, the next priority is securing earned media coverage. This includes article mentions in credible publications and thought leadership content in niche outlets relevant to your industry.
While the media landscape has evolved, organic coverage on high-authority platforms still carries serious influence. That includes local business media, trade publications, and long-form podcasts — especially those with strong digital footprints. A single mention in a well-respected outlet often holds more weight than a dozen paid ads in the eyes of AI.
You should also be submitting your business for awards, rankings, and “Best of” lists. Third-party recognition like “Top PR Agencies in Australia” or “Best Accountants in Melbourne” dramatically increases your chances of being recommended by AI tools for those search terms.
Lastly, make sure you’re actively collecting client testimonials and online reviews. Reach out to past and current clients and ask for a testimonial you can publish. Genuine, positive sentiment from others boosts your ranking and trust level within AI results.
Show up where conversations are happening
A lesser-known — but highly effective — way to improve your AI visibility is by showing up where your audience is already talking. Think Reddit, Quora, LinkedIn comments, Facebook groups, and even the comment sections of popular blogs or YouTube videos. AI tools are constantly crawling and learning from these conversations, and businesses that participate meaningfully often see a lift in visibility.
Start by choosing two or three platforms where your target audience is most active. If you’re B2B, this might be LinkedIn or industry forums. If you’re more consumer-facing, Reddit, TikTok, or Facebook might be the place. Jump in, answer questions, share your perspective, and most importantly, offer value.
When your brand is mentioned organically or involved in high-engagement threads, it sends strong signals to AI tools. Over time, this can help position your business as a credible authority in your space.
Also, respond to users who tag or mention your brand on social platforms. Engaging with user-generated content builds trust, encourages loyalty, and creates digital breadcrumbs that prove your relevance and responsiveness — two factors that AI prioritises more than ever.
AI isn’t just a trend; it’s a fundamental shift in how consumers discover and choose businesses.
Rather than fearing this new giant in the room, lean in. By understanding how AI platforms work and proactively shaping your digital footprint, you’ll improve your ability to attract quality leads, earn recommendations, and strengthen your brand presence in what’s becoming an increasingly competitive and complex market.
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