Georgetown Business
Job Posting: Georgetown Business Magazine – Narrator
Modio Information Group is partnering with the Georgetown University’s McDonough School of Business to produce a word-for-word, human-narrated, audio edition of Georgetown Business magazine. Published primarily for the school’s robust alumni network, this flagship magazine highlights successful and interesting alumni, covers the latest in business trends and faculty research, and reports on school news, events, and student, faculty, and alumni accomplishments. Placing it in a convenient audio format allows busy subscribers to consume the underlying material on the go.
We are seeking McDonough School of Business students to narrate the articles. Applicants must be articulate with excellent oral reading skills, reliable, punctual, detail-oriented, and extremely conscientious. All work may be completed part-time from home, with minimal time commitment.
In addition to their compensation, the selected narrators will gain prominent exposure to the school’s alumni network, as well as other business professionals in the United States and globally, through Modio’s proprietary audio platform / app. On each of their audio recordings narrators identify themselves by name, school, and graduation year as described below. Additionally, our proprietary app accompanies each audio article with the narrator’s email address and LinkedIn profile. The selected narrators also enhance their education with access to the latest developments in business and are compensated at a rate of $60.00 per hour of audio content
To apply, please e-mail a) your resume and b) a sample audio narration of the sample content below using the Voice Memos app on your iPhone or similar app such as Evernote on your Android phone, to narrators@modioinfo.com. In the subject line, please write “Application –Georgetown Business Narrator”. Please feel free to email us any questions as well.
NARRATION
The New World of Work: Alumni Experts Offer Tips on How to Navigate Big Data and AI
Written By: Maureen HarmonNarrated By: [Your Full Name], [Your Program], “Class of” [Graduation Year]
Georgetown Business Magazine, Spring 2023
Don’t Overestimate Data and AI
Whether you call it AI, data analytics, or big data—it’s all just statistics. “The more you get into things like machine learning and AI, it’s arguably statistical calculation without statistical inference,” says Neil Hamlett (EMBA’11), data analytics team lead for ECS, which provides enterprise data-strategy support to digital transformation of the U.S. Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA).
Right now, there’s just a lot of hype about what data can and can’t do. Hamlett uses the hype cycle created by Gartner Consulting to explain: “The premise is that technology-driven business processes go through this maturation process, and that the stages of the hype cycle are a triggering event, which then rises to the peak of inflated expectations, and people start to figure out that there’s a lot of hype, a lot of hokum,” says Hamlett, “and then it’ll slide into the trough of disillusionment. Then it goes up on the slope of enlightenment to a plateau of productivity.”
We are in the inflated expectations phase, he says. Keep in mind—this will eventually level out.
In the meantime, get very acquainted with what you want your data or AI to do, and what it can actually do. AI can’t, for example, think creatively—we still need the human mind for that—and companies using big data can easily run into cost, maintenance, and ethics issues.
MAKE THE RIGHT HIRES
When dealing with big data, be sure you’re hiring people who know the technology well enough to recognize its opportunities and pitfalls, but also someone who understands business strategy operations. In other words, you need someone who not only can read the data, but someone able to advise decisionmakers and understand what sort of organizational and operational reconfigurations need to happen in order to get the greatest value out of the tech.
“Everybody’s going to have to be multidisciplinary,” says Hamlett. “Those are the key connections to be able to understand the opportunities and limitations with any given technology—and to be able to recognize that there are limitations.”
It’s not surprising that colleges and universities—including Georgetown—are adding data analytics majors to their curriculum and data scientists to their faculty. Schools already are educating the next generation that will help businesses bridge the data divide and translate numbers into actionable information.