The Open Institute of Technology (OPIT) is a new concept in higher education that aims to equip people for a fast-changing work landscape characterized by rapidly evolving technology. This goes beyond deep training in trending technologies such as artificial intelligence (AI) and cybersecurity to reframing our approach to work and how we envision the future of work.

As part of that ongoing discussion, Stefania Tabi from OPIT Career Services sat down with Matteo Roversi, Co-Founder and Chief Community Officer at Cosmico, to talk about how we need to reframe our approach to work to thrive in the future workplace.

Founded in 2020, Cosmico is an Italian-based talent platform that uses AI-powered technology to connect talent – currently a pool of more than 27,000 independent professionals – with the businesses that need them, including many of Europe’s biggest companies. The platform uses AI for talent screening, matching, and recommendations, as well as to assess coding skills. This can reduce the time from request to screening, interview, proposal, and kick-off to between 24 and 72 hours, letting businesses move faster.

New Rules

Matteo started by discussing the aspects of the work landscape that have fundamentally changed over the last decade, and how this is forcing us to reframe our approach to standing out in the workplace.

CV to Reputation

He explained that while for many potential employees, the main concern used to be populating your CV with the relevant skills and experience to land your next job, that is becoming increasingly meaningless. AI can be used to tailor your CV exactly to what a job description wants, bearing in mind that the description was probably also written by AI and will be assessed by AI. As a result, matching CVs to job descriptions has become an increasingly unreliable way to find desirable candidates.

This has shifted the focus to reputation, as it is increasingly important that people are familiar with your work and know people who can recommend you to get your foot in the door.

Execution to Agency

It used to be that your objective was fulfilling the tasks on a job description, which required intelligence and experience, but not necessarily a significant amount of self-direction. That is changing as new ways of solving problems continue to emerge. Today, businesses want employees who have agency and take the initiative to solve problems. In a way, today, everyone needs the self-starter mindset of an entrepreneur.

Specialization to Deep Generalism

In recent years, the work landscape has been about specialization in specific fields and technologies. But Matteo explained how that focus is disappearing. Technology is moving so quickly that specialist software, coding languages, and algorithms are becoming obsolete, or the work previously required is being automated through AI.

Therefore, today, instead of a focused specialization, applicants need deep generalism, with not only a broad understanding of the technological landscape but a deep understanding of how technology can be leveraged to connect different fields of work, solve problems, and judge decisions.

Hours to Progression

The trend of moving away from paying for hours worked to the product being delivered will only become more pronounced, Matteo explained. Things that once took hours can now be delivered within minutes, but that doesn’t necessarily diminish the value of that delivery.

He explained how we need to think of ourselves as mind athletes. For instance, a sprinter may compete for a little over 10 seconds in their principal race, but they spend vast amounts of time in deep training. This is what professionals must do now: invest in their knowledge base so that they can deliver. As an extension of this, just like athletes, professionals need to focus on recovery. No one is a machine, and we cannot be delivering constantly.

Compete to Create

Matteo explained how the workplace mindset has long been one of competition, with talent competing for a finite number of jobs. But as jobs disappear and emerge rapidly, the field of competition changes significantly, and the market no longer feels finite. He also suggested that the best way to find the job that you want is to create it, rather than wait for someone else to make it for you (and then compete for it).

Taking Charge of Your Career

Having looked in detail at how the work landscape is changing, Matteo then shifted gears and shared his best advice for creating the job that you want.

Shift to AI Mode

He started by pointing out that you need to leverage the available technology to stay competitive, especially AI. But you have to do this in a way that increases your productivity and enhances the value of your contribution. He suggests that people embrace and test technologies and automate where possible by delegating. But delegating should go beyond simple tasks to orchestrating processes. When this is in place, you can reshape your vision of your contribution by identifying what you do that machines cannot replicate.

Build Your Work Stack

Once you have identified your value, Matteo explains how to reform what you offer. Start by thinking of yourself as a company rather than a job description. Don’t tell people what you do, but tell them the problems that you solve. Once this is in place, you can build your presence and your audience by making yourself accessible, both online and offline. This helps you grow your network by actively seeking mentors and peers.

Write Daily, Ship Weekly, Share Always

Matteo emphasized that work must be public to build your reputation, an important factor already discussed in his review of the work landscape. To this end, he suggests writing daily, which means spending at least 15 minutes a day focused on your problem. This should result in something you can “ship” every week to maintain your visibility, and always share to build your profile.

Level Up Your Purpose

Matteo agreed with the advice that to thrive in your work, you need to have purpose, but also agreed with the suggestion that people who say to follow your passion are usually already rich and have a safety net in place for failure. He suggested that your purpose changes according to your circumstances and that you should aim to cycle through these different phases.

  • Survival – When you need to pay your bills, you need to find clients and sell your work
  • Status – Once you have a stable base, you can focus on gaining recognition for your work and attracting clients to you
  • Creativity – While many people stop at the status phase, this is the moment to stretch yourself and push out of your comfort zone to do something new
  • Contribution – This is the ultimate phase when you can scale up the impact of your work

Preparing for the Future of Work With OPIT

One theme that came through clearly in Matteo’s discussion was the importance of investing in yourself. This is because you are no longer simply being asked to fulfill a job description; you need to frame yourself as a problem-solver who adds value. In today’s work landscape, this means understanding tech trends and their impact on the business landscape. Making that leap can start with OPIT. We offer bachelor’s courses for those looking to build a strong technical foundation and master’s courses for professionals looking to reframe their value proposition.

Discover OPIT’s accessible and fit-for-purpose programs today.

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OPIT Is Turning 2! What Have We Achieved in the Last 2 Years?
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 7, 2025 6 min read

The Open Institute of Technology (OPIT) is turning two! It has been both a long journey and a whirlwind trip to reach this milestone. But it is also the perfect time to stop and reflect on what we have achieved over the last two years, as well as assess our hopes for the future. Join us as we map our journey over the last two years and look forward to future plans.

July 2023: Launching OPIT

OPIT officially launched as an EU-accredited online higher education institution in July 2023, and offered two core programs: a BSc in Modern Computer Science and an MSc in Applied Data Science and AI. Its first class matriculated in September of that year.

The launch of OPIT was several years in the making. Founder Riccardo Ocleppo was planning OPIT ever since he launched his first company, Docsity, in 2010, an online platform for students to share access to educational resources. As part of working on that project, Ocleppo had the chance to talk to thousands of students and professors and discovered just how big a gap there is between what is taught in universities today and job market demands. Ocleppo felt that this gap was especially wide in the field of computer science, and OPIT was his concept to fill that gap.

The vision was to provide university-level teaching that was accessible around the world through digital learning technologies and that was also affordable. Ocleppo’s vision also involved international professors and building strong relationships with global companies to ensure a truly international and fit-for-purpose learning experience.

One of the most important parts of launching OPIT was the recruitment of the faculty of professors, which Ocleppo was personally involved in. The idea was to build a roster of expert teachers and professionals who were leaders in the field and urge them to unite the teaching fundamentals with real-world applications and experience. The process involved screening more than 5,000 CVs, interviewing over 200 candidates, and recruiting 25 professors to form the core of OPIT’s faculty.

September 2023: The Inaugural Cohort

When OPIT officially launched, its first cohort included 100 students from 38 different countries. Divided between the BSc and MSc courses, students were also allowed to participate in one of two different tracks. Some chose the standard track to accommodate their existing work commitments, while others chose to fast-track to complete their studies sooner.

OPIT was pleased with its success in making the courses international and accessible, with notable representation from Africa. In the first cohort, 40% of MSc students were also from non-STEM fields, showing OPIT’s success at engaging professionals looking to develop skills for the modern workplace.

July 2024: A Growing Curriculum

Building on this initial success, in 2024, OPIT expanded its academic offering to include a second BSc program in Digital Business, and three new MSc programs in Digital Business & Innovation, Responsible Artificial Intelligence, and Enterprise Cybersecurity. These were all offered in addition to the original two programs.

The new course offerings led to total student numbers growing to over 300, hailing from 78 different countries. This also led to an expansion of the faculty, with professionals recruited from major business leaders such as Symantec, Microsoft, PayPal, McKinsey, MIT, Morgan Stanley, Amazon, and U.S. Naval Research. This focus on professional experience and real-world applications is ideal for OPIT as 80% of the student body are active working professionals.

January 2025: First Graduating Class

OPIT held its first-ever graduation ceremony in Valletta, Malta, on March 8, 2025. The ceremony was a hybrid event, with students attending both in person and virtually. The first graduating class consisted of 40 students who received an MSc in Applied Data Science and AI.

OPIT’s MSc programs include a capstone project that sees students apply their learning to real-world challenges. Projects included the use of large language models for the creation of chatbots in the ed-tech field, the digitalization of customer support processes in the paper and non-woven industry, personal data protection systems, AI applications for environmental sustainability, and predictive models for disaster prevention linked to climate change. Since many OPIT students realized their capstone projects within their organizations, OPIT also saw itself successfully facilitating digital innovation in the field.

July 2025: New Learning Environments

The next step for OPIT is not just to teach others how to leverage AI to work smarter, but to start applying AI solutions in our own business environment. To this end, OPIT unveiled its OPIT AI Copilot at the Microsoft AI Agents and the Future of Higher Education event in Milan in June 2025.

The OPIT AI Copilot is a specialist AI Agent designed to enhance learning in OPIT’s fully digital environment. OPIT AI Copilot acts as a personal tutor and study companion, and but rather than being trained on the World Wide Web, it is specifically trained on OPIT’s educational archive of around 3,500 hours of lectures and 3,000 proprietary documents.

The OPIT AI Copilot then provides real-time, personalized guidance that adapts to where the student is in the course and the progress they have shown in grasping the material. As well as pulling from existing materials, the OPIT AI Copilot can generate content to deepen learning, such as code samples and practical exams. It can also answer questions posed by the students with answers grounded in the official course material. The tool is available 24/7, and also has an intelligent examination mode, which prevents cheating.

In this way, OPIT AI Copilot enriches the OPIT learning environment by providing students with 24/7 personalized support for their learning journey, ideal for busy professionals balancing work and study. It is a step towards facing the challenge of “one-size-fits-all” education approaches that have plagued learning institutions for millennia.

September 2025: A New Cohort

On the heels of the OPIT AI Copilot launch, OPIT is excited about recruiting its next round of students, with applications open until September 2025. If you are interested in joining OPIT, you can learn more about its courses here.

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Authority Magazine: Paola Tirelli of RWS Group on the Future of Artificial Intelligence
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Aug 4, 2025 9 min read

Source:

By Kate Mowbray, 7 min read


“To engage more women in the AI industry, I believe we need to start by highlighting the diversity of roles available. Not all of them are purely technical. AI needs linguists, designers, ethicists, project managers, and many other profiles. Showing that there’s space for different kinds of expertise can make the field feel more accessible. We also need more visible role models: women who are leading, innovating, and mentoring in AI.”

As part of our series about the future of Artificial Intelligence, I had the pleasure of interviewing Paola Tirelli, linguistic AI specialist with RWS Group. Paola is also an MSc in Applied Data Science and AI graduate of OPIT — Open Institute of Technology, a global online educational institution.

With over a decade in translation and project management, Paola is passionate about integrating technology with language services. She considers bridging language barriers and leading teams to success her strength.

Thank you so much for joining us in this interview series! Can you share with us the ‘backstory” of how you decided to pursue this career path in AI?

Mybackground is in linguistics and localization, and I’ve spent years working with translation, quality assurance, and automation tools. I’ve always been fascinated by the intersection of language and technology. The turning point came when I realized I had reached a plateau in my role and felt a strong urge to grow, contribute more meaningfully, and understand the changes reshaping the industry.

That curiosity naturally led me to AI, a space where my linguistic expertise could meet innovation. I began to see how powerful AI could be in solving specific challenges in localization, especially around quality and efficiency. This inspired me to pursue a Master’s in Applied Data Science and AI at OPIT, to deepen my skills and explore how to bridge my domain knowledge with the new tools AI offers.

What lessons can others learn from your story?

It’s never too late to reinvent yourself. You don’t need to have a technical background from the start to enter the AI field. With strong motivation, curiosity, and a willingness to learn, you can go very far.

Embracing your own expertise, whatever it may be, can actually become your greatest asset. AI isn’t just about code and algorithms; it’s about solving real-world problems, and that requires diverse perspectives. If you’re driven by purpose and open to growth, you can not only adapt to change, but you can help shape it.

Can you tell our readers about the most interesting projects you are working on now?

What I find most exciting about my current work is the opportunity to experiment and explore where AI can truly be a game changer in the localization space. I’m particularly interested in projects that would have been unthinkable just a few years ago, initiatives involving massive amounts of data or complex workflows that no client would have considered feasible due to time, cost, or resource constraints. Thanks to AI, we can now approach these challenges in entirely new ways, unlocking value and enabling solutions that were previously out of reach, such as automated terminology extraction or adapting content across different language variants.

None of us are able to achieve success without some help along the way. Is there a particular person who you are grateful towards who helped get you to where you are? Can you share a story about that?

I’m especially grateful to the person who would later become my manager, Marina Pantcheva. At the time, I had already started my Master’s at OPIT and was looking for the right direction to apply what I was learning. I knew I wanted to stay within my company, but I wasn’t sure where to focus.

Then I attended a talk she gave on AI. It was clear, engaging, and incredibly inspiring. It felt like a calling. I knew I wanted to work with her and be part of her team. When I eventually joined the AI team, she believed in my potential from the start. She gave me the space to ask questions, explore ideas, and gradually take on more responsibility. That trust and support made all the difference. It helped me grow into this new field with confidence and purpose.

What are the 5 things that most excite you about the AI industry? Why?

· We’re writing the future — AI is still in its early stages, and we don’t yet know the limits of what it can do. Being part of this journey feels like contributing to something truly transformative.

· Unthinkable opportunities are now possible — Tasks that once required enormous manual effort or were simply out of reach due to scale or complexity are now achievable. AI opens doors to projects that were previously unimaginable.

· Access to knowledge like never before — AI enhances how we interact with information, making it faster and more intuitive to explore, learn, and apply knowledge across domains.

· Cross-disciplinarity — AI touches every field, so it’s full of opportunities for people from different backgrounds.

· Problem-solving at scale — AI can help automate tedious tasks and improve decision-making in complex workflows.

What are the 5 things that concern you about the AI industry? Why?

· AI systems are not 100% reliable, and their outputs can sometimes be inaccurate or misleading. This raises questions about how much we can (or should) trust them, especially in high-stakes contexts.

· As we integrate AI into more aspects of our work and lives, there’s a risk of becoming overly reliant on it, potentially at the expense of human judgment, creativity, and critical thinking.

· If we delegate too much to machines, we may gradually lose some of our own cognitive abilities, like problem-solving, memory, or even language skills, simply because we’re not exercising them as much.

· Without clear communication and reskilling strategies, AI can be perceived as a threat rather than a tool. This fear can create resistance and anxiety, especially in industries undergoing rapid transformation.

· From bias in algorithms to the misuse of generative tools, the ethical challenges are real. We need strong frameworks to ensure AI is developed and used responsibly, with transparency and accountability.

As you know, there is an ongoing debate between prominent scientists, (personified as a debate between Elon Musk and Mark Zuckerberg,) about whether advanced AI poses an existential danger to humanity. What is your position about this?

I think it’s important to separate science fiction from science. While I don’t believe current AI poses an existential threat, I do believe that we need to be very intentional about how we develop and use it. The real risks today are more about misuse, bias, and lack of transparency than about a doomsday scenario.

What can be done to prevent such concerns from materializing? And what can be done to assure the public that there is nothing to be concerned about?

Transparency and education are key. We need to involve more people in the conversation; not just engineers, but also linguists, ethicists, teachers, and everyday users. Clear communication about what AI can and cannot do would help build trust. Regulation also has to catch up with the speed of innovation, without stifling it.

As you know, there are not many women in the AI industry. Can you advise what is needed to engage more women into the AI industry?

My perception is slightly different, because I come from the localization industry, where there’s a strong presence of women. So, when I transitioned into AI, I brought with me a sense of belonging and confidence that not everyone may feel when entering a more male-dominated space.

To engage more women in the AI industry, I believe we need to start by highlighting the diversity of roles available. Not all of them are purely technical. AI needs linguists, designers, ethicists, project managers, and many other profiles. Showing that there’s space for different kinds of expertise can make the field feel more accessible. We also need more visible role models: women who are leading, innovating, and mentoring in AI.

Representation matters. When you see someone like you doing something you thought was out of reach, it becomes easier to imagine yourself there too.

What is your favorite “Life Lesson Quote”? Can you share a story of how that had relevance to your own life?

It’s never too late to be what you might have been,” by George Eliot.

This quote really resonated with me when I decided to shift my career path toward AI. Starting a Master’s in Applied Data Science and AI while working full-time wasn’t easy, but that quote gave me the courage to step into a field that initially felt far from my comfort zone, and to trust that my unique background could actually be a strength, not a limitation.

You are a person of great influence. If you could start a movement that would bring the most amount of good to the most amount of people, what would that be? You never know what your idea can trigger.

If I could start a movement, it would focus on democratizing access to AI education and tools, especially for people from non-technical backgrounds. I truly believe that AI should not be limited to engineers or data scientists. It has the potential to empower professionals from all fields, from linguists to educators to healthcare workers. I’d love to see a world where people feel confident using AI not just as a tool, but as a partner in creativity, problem-solving, and innovation, regardless of their background, gender, or location.

How can our readers further follow your work online?

I usually share updates on LinkedIn: https://www.linkedin.com/in/paola-tirelli-9abbb32a9/

This was very inspiring. Thank you so much for joining us!

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