If you’re eyeing the digital marketing scene, know that every click tells a story, and every strategy can turn the tables for companies fighting for the online spotlight. Creativity meets metrics, and social media is a place to make connections that matter and spread the word about your brand or make it so that the word spreads on its own. Here is how to become a digital marketing specialist.

Understanding the Role of a Digital Marketing Specialist

Imagine being the person for everything online in a business. That’s more or less what a digital marketing specialist does.

They handle everything from making a website appear at the top of search results (thanks to SEO) to crafting the kind of content that makes people click, share, and buy. Specialists know what makes audiences tick on social media and keep up with the latest hashtag trends to figure out the best time to post. They don’t throw content out into the void and hope for the best—they analyze everything.

Which tweet has the most engagement? Did changing the call-to-action on that email campaign increase conversions? It’s all in a day’s work.

But what’s the big deal about all this, you might ask.

Being visible online is pretty much everything for a business these days. It matters little if it’s a local bakery or a multinational tech company. They all need to be online so potential customers can find them. Their digital marketing specialist uses a mix of creativity, analytics, and tech-savvy to boost brand awareness, rake in leads, and ultimately, drive sales. These specialists are the ones making sure a business is actively connecting with people and turning them into customers.

Essential Skills and Qualifications

To become a digital marketing specialist, you must have strong technical skills, creativity, and a fair bit of analytical prowess. Here’s a rundown:

  • SEO/SEM reveals the alchemy of search engines that can make or break a brand’s online visibility. This skill helps you know the right keywords, the magic of backlinks, and the techniques of ranking higher.
  • Content creation (blogs that tell a story, videos that captivate, or tweets that go viral) must resonate with your audience.
  • Data analysis is great if you love numbers because dissecting website traffic, engagement rates, and conversion stats to understand what’s working (and what’s not) is a big part of the game.
  • Social media expertise means knowing your TikToks from your Tweets. Each platform operates on a distinct system, and mastering these can help you connect with audiences effectively.
  • PPC advertising is just as significant. Crafting the ads at the top of the search results requires a keen understanding of PPC strategies, especially if you’re aiming for a monetary balance.

As for the educational backdrop, while you don’t necessarily need a degree in digital marketing, having one in related fields like marketing, communications, or business can give you a solid foundation. That said, digital marketing values skills and real-world experience just as much, if not more.

Path to Becoming a Digital Marketing Specialist

Here’s a guide on how to be a digital marketing specialist:

1. Obtain a Relevant Degree

While you don’t need a degree in marketing to break into digital marketing, it undoubtedly helps. A bachelor’s in marketing, communications, or a related field lays a solid foundation. It introduces you to marketing principles, consumer behavior, and, increasingly, digital marketing basics. If college isn’t your path, there are still many success stories from self-taught specialists.

2. Get Hands-on Experience

There’s no substitute for getting directly involved in digital marketing. Internships are a great step, as they give you a peek into the industry’s workings and let you apply what you’ve learned. Or you can start your own project. Create a blog, manage social media for a family business, or run your own PPC campaigns to build a portfolio that showcases your skills.

3. Prioritize Continuous Learning

Digital marketing evolves fast, so you must keep up with the trends. Online courses and certifications can keep you up to date while also boosting your resume. Certifications like Google Ads, Facebook Blueprint, or SEMrush certifications also prove your skills and dedication to the craft. Each one is a step toward establishing your expertise.

4. Start Networking

Join digital marketing forums, attend webinars, and don’t be shy about reaching out to professionals you admire. The digital marketing community is surprisingly welcoming and a treasure trove of insights and opportunities.

5. Apply for Entry-Level Positions

With some education, a portfolio, and a few certifications under your belt, start applying for entry-level positions. Adjust your resume to highlight your digital marketing skills and projects, and don’t get discouraged by setbacks. Every interview, whether successful or not, is a point of learning.

OPIT’s Digital Marketing Education Programs

OPIT has a couple of solid programs up its sleeve for digital marketing—the BSc and MSc in Digital Business. They aren’t typical, dry lecture-based courses. These programs give you both the theory and practice necessary in digital marketing.

OPIT’s approach is unique in the way it blends theory with practice. You learn the latest trends, tools, and strategies currently being used in the industry. Plus, you’re not learning in a vacuum. OPIT connects you with industry experts, giving you a chance to pick the brains of people who have invaluable experience and skills. The programs offer first-hand insights, resources, and a network of professionals you’d be hard-pressed to find anywhere else.

Why Choose a Career as a Digital Marketing Specialist

For starters, every business out there, from the hole-in-the-wall coffee shop to giant corporations, is trying to make its mark online. That means there’s an enormous demand for people who can handle the digital world creatively and effectively.

This job also keeps you on your toes. One day, you might be cracking the code on a Google Ads campaign, and the next, you’re storytelling on Instagram or analyzing website traffic. It’s this mix of creativity, strategy, and analytics that makes the work diverse and, believe it or not, pretty exciting.

Become the Social Media Strategist You Were Meant to Be

The path to becoming a specialist is fairly varied, but two factors hold true: you need to keep on top of current trends, and you need hands-on experience. Fortunately, OPIT positions you on the right career path by providing just that. Check out OPIT’s bachelor’s and master’s programs in digital business and learn how to be a good digital marketing specialist first-hand.

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CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

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  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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Agenda Digitale: Generative AI in the Enterprise – A Guide to Conscious and Strategic Use
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 6 min read

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By Zorina Alliata, Professor of Responsible Artificial Intelligence e Digital Business & Innovation at OPIT – Open Institute of Technology

Integrating generative AI into your business means innovating, but also managing risks. Here’s how to choose the right approach to get value

The adoption of generative AI in the enterprise is growing rapidly, bringing innovation to decision-making, creativity and operations. However, to fully exploit its potential, it is essential to define clear objectives and adopt strategies that balance benefits and risks.

Over the course of my career, I have been fortunate to experience firsthand some major technological revolutions – from the internet boom to the “renaissance” of artificial intelligence a decade ago with machine learning.

However, I have never seen such a rapid rate of adoption as the one we are experiencing now, thanks to generative AI. Although this type of AI is not yet perfect and presents significant risks – such as so-called “hallucinations” or the possibility of generating toxic content – ​​it fills a real need, both for people and for companies, generating a concrete impact on communication, creativity and decision-making processes.

Defining the Goals of Generative AI in the Enterprise

When we talk about AI, we must first ask ourselves what problems we really want to solve. As a teacher and consultant, I have always supported the importance of starting from the specific context of a company and its concrete objectives, without inventing solutions that are as “smart” as they are useless.

AI is a formidable tool to support different processes: from decision-making to optimizing operations or developing more accurate predictive analyses. But to have a significant impact on the business, you need to choose carefully which task to entrust it with, making sure that the solution also respects the security and privacy needs of your customers .

Understanding Generative AI to Adopt It Effectively

A widespread risk, in fact, is that of being guided by enthusiasm and deploying sophisticated technology where it is not really needed. For example, designing a system of reviews and recommendations for films requires a certain level of attention and consumer protection, but it is very different from an X-ray reading service to diagnose the presence of a tumor. In the second case, there is a huge ethical and medical risk at stake: it is necessary to adapt the design, control measures and governance of the AI ​​to the sensitivity of the context in which it will be used.

The fact that generative AI is spreading so rapidly is a sign of its potential and, at the same time, a call for caution. This technology manages to amaze anyone who tries it: it drafts documents in a few seconds, summarizes or explains complex concepts, manages the processing of extremely complex data. It turns into a trusted assistant that, on the one hand, saves hours of work and, on the other, fosters creativity with unexpected suggestions or solutions.

Yet, it should not be forgotten that these systems can generate “hallucinated” content (i.e., completely incorrect), or show bias or linguistic toxicity where the starting data is not sufficient or adequately “clean”. Furthermore, working with AI models at scale is not at all trivial: many start-ups and entrepreneurs initially try a successful idea, but struggle to implement it on an infrastructure capable of supporting real workloads, with adequate governance measures and risk management strategies. It is crucial to adopt consolidated best practices, structure competent teams, define a solid operating model and a continuous maintenance plan for the system.

The Role of Generative AI in Supporting Business Decisions

One aspect that I find particularly interesting is the support that AI offers to business decisions. Algorithms can analyze a huge amount of data, simulating multiple scenarios and identifying patterns that are elusive to the human eye. This allows to mitigate biases and distortions – typical of exclusively human decision-making processes – and to predict risks and opportunities with greater objectivity.

At the same time, I believe that human intuition must remain key: data and numerical projections offer a starting point, but context, ethics and sensitivity towards collaborators and society remain elements of human relevance. The right balance between algorithmic analysis and strategic vision is the cornerstone of a responsible adoption of AI.

Industries Where Generative AI Is Transforming Business

As a professor of Responsible Artificial Intelligence and Digital Business & Innovation, I often see how some sectors are adopting AI extremely quickly. Many industries are already transforming rapidly. The financial sector, for example, has always been a pioneer in adopting new technologies: risk analysis, fraud prevention, algorithmic trading, and complex document management are areas where generative AI is proving to be very effective.

Healthcare and life sciences are taking advantage of AI advances in drug discovery, advanced diagnostics, and the analysis of large amounts of clinical data. Sectors such as retail, logistics, and education are also adopting AI to improve their processes and offer more personalized experiences. In light of this, I would say that no industry will be completely excluded from the changes: even “humanistic” professions, such as those related to medical care or psychological counseling, will be able to benefit from it as support, without AI completely replacing the relational and care component.

Integrating Generative AI into the Enterprise: Best Practices and Risk Management

A growing trend is the creation of specialized AI services AI-as-a-Service. These are based on large language models but are tailored to specific functionalities (writing, code checking, multimedia content production, research support, etc.). I personally use various AI-as-a-Service tools every day, deriving benefits from them for both teaching and research. I find this model particularly advantageous for small and medium-sized businesses, which can thus adopt AI solutions without having to invest heavily in infrastructure and specialized talent that are difficult to find.

Of course, adopting AI technologies requires companies to adopt a well-structured risk management strategy, covering key areas such as data protection, fairness and lack of bias in algorithms, transparency towards customers, protection of workers, definition of clear responsibilities regarding automated decisions and, last but not least, attention to environmental impact. Each AI model, especially if trained on huge amounts of data, can require significant energy consumption.

Furthermore, when we talk about generative AI and conversational models , we add concerns about possible inappropriate or harmful responses (so-called “hallucinations”), which must be managed by implementing filters, quality control and continuous monitoring processes. In other words, although AI can have disruptive and positive effects, the ultimate responsibility remains with humans and the companies that use it.

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