The Open Institute of Technology (OPIT) is a unique institution through and through. From an unparalleled support team that guides you every step of the way to state-of-the-art virtual resources, OPIT redefines online learning. This institution also proves that online education can be as enriching as its traditional counterpart. Better yet, it can outperform it in numerous aspects.

This fact alone begs the question – how did it all begin?

To answer this question, we’ll go straight to the source – the founder of OPIT, Riccardo Ocleppo.

In this article, Riccardo will walk us through his journey of envisioning (and building) OPIT and transforming online education in the process.

The Pre-OPIT Years: Where It All Began

To understand how Riccardo came up with the idea for OPIT, we must travel back to the year 2006. That’s when Riccardo graduated from Politecnico di Torino with a bachelor’s in electronics engineering.

This institution is arguably the most prestigious in Italy (and one of the most reputable in Europe). So, it shouldn’t be surprising that Riccardo chose to continue his education here, pursuing a master’s degree.

He completed the master’s program in 2008 and did so with honors.

Yet, Riccardo couldn’t shake the impression that it was all in vain. In his words, “When I left the university, I had the impression that I could do very little, and I knew very little that could help me in my professional endeavors.”

But Riccardo decided not to sit idly by.

He saw it this way – it might be too late for him, as he was done with his studies. But it’s certainly not too late for future students who deserve a better education. That’s why, only two years later, in 2010, he founded Docsity.

Docsity is an online social learning network with over 20 million registered students. Thanks to this network, over 250 universities worldwide received help in improving their study programs (and finding students).

Docsity also gave Riccardo a chance to fully immerse himself into the education sector for over a decade, finding new ways to reform it from within.

OPIT’s Inception: From Vision to Reality

With the knowledge (and the resources) from Docsity, Riccardo started working on a platform designed to provide the kind of education he wished he had received. The platform in question was, of course, the Open Institute of Technology.

The primary goal of OPIT was to bridge the gap between “what students expect, what companies need, and what higher-level institutions actually deliver in terms of training and education.”

From Riccardo’s experience, this gap was pretty huge. Remember that even with a bachelor’s and a master’s degree in electronics engineering, he felt he had little to offer to companies.

This perceived shortcoming primarily comes from the fact he received a lot of theory at the university but very little practice. And that’s not to mention how outdated the curriculum was, as well as laser-focused on electronics engineering. In other words, bid farewell to “competencies on the most recent technologies and project management methodologies.”

This perspective made him determined to create a holistic educational solution. Or, as Riccardo puts it, “When designing OPIT’s degree programs to address the skills in high demand today, we chose to start from scratch to go beyond the limits of traditional higher education.”

At OPIT, you’ll receive valuable knowledge beyond theory. Essentially, OPIT equips you with everything you need to enter the job market, ready to excel in your field from day one (or day zero, as Riccardo calls it!).

Tailored for Triumph: OPIT’s Unique Programs

Designing any online curriculum is no easy task. However, the computer science field comes with its unique set of challenges. Why?

This field is constantly evolving. That’s what makes it difficult for most traditional higher education institutions to keep up. As Riccardo puts it, “[These institutions] are very slow to adapt to this wave of new technologies and new trends within the educational sector.” Of course, thanks to Docsity, Riccardo speaks from extensive experience, as he’s seen “multiple times how difficult it is to help these institutions update their study curriculum.”

Companies have it no easier.

Riccardo says, “A company needs one to two years to make people that should be trained on today’s technologies and on today’s skills effectively enter the job market and be productive when they enter these companies.”

Again, Riccardo speaks from personal experience. As a founder of a tech company (and a manager in others), he was tasked with creating and managing big tech teams on several occasions. However, despite interviewing hundreds of candidates, he couldn’t find those trained in today’s technologies, not those from 20 years ago.

With this in mind, he designed OPIT’s curriculum to effectively “train the next generation of leaders and managers in the field of computer science.” Many people helped him in this endeavor, chief among them Professor Francesco Profumo, current head of institution at OPIT and former Minister of Education in Italy.

This unique approach makes OPIT’s programs different in terms of how they’ve been conceived and how they’ll be delivered.

Take the Bachelor of Science (BSc) in Modern Computer Science program as an example.

Riccardo says that to be a great programmer, “you cannot just dive into programming itself.” First, you must understand how a computer is built and how its various units operate and communicate. This way, you’ll have no issues debugging a code in the future since you’ll understand the underlying mechanisms.

These underlying systems and foundational skills are precisely what is taught during the first term of the modern computer science program. Afterward, you’ll move toward the latest advancements in computer science, including machine learning, artificial intelligence, data science, cybersecurity, and cloud computing. This way, you’ll have quite a broad perspective on computer science, rarely seen in other educational programs, online or offline.

It also means you won’t have to specialize in a particular field, as you’re forced to do with many other programs. In Riccardo’s opinion, the master’s degree is where you should begin your specialization journey.

OPIT offers as many as four master’s degree programs, but Riccardo focuses on Applied Data Science & AI this time.

In Riccardo’s words, “The whole purpose of this [program] is actually to train people that do not want to pursue a super technical career but actually want to pursue a career at the intersection between the tech and the management of a company.” In other words, individuals who complete this program will acquire all the necessary tech skills. However, they’ll also be able to ensure the tech team is “correctly understood by the management of the company,” thanks to the managerial skills earned during the program.

Of course, this program also covers all the essential theoretical knowledge, from Python to machine learning. But it also has a solid applicative angle, teaching students how to use the most valuable tools available in today’s market. Simply put, you’re training “for what you’ll be doing when you enter your next job.”

 

Breaking the Mold: What Sets OPIT Apart

The unique curriculum isn’t the only thing that sets OPIT apart from other higher education institutions in the same field. Here’s what Riccardo singles out as OPIT’s most appealing characteristics.

Continuous Assessment

Learning at your own pace can be a double-edged sword. On the one hand, you have all the flexibility and freedom to organize your studies (and life). On the other, you might start procrastinating without a traditional daily commitment of in-classroom learning.

OPIT ensures this unfortunate scenario never happens by doing away with one big final exam you must cram for. Instead, you’ll be continuously assessed throughout the program, allowing you a much better approach to learning and a deeper understanding of the subject matter.

As Riccardo puts it, OPIT will give you “multiple checkpoints,” preventing you from getting “lost” throughout the learning process.

New Learning Resources

According to Riccardo, most of today’s available resources were created for the “oldest wave of education.” That’s why he (and his team) created all OPIT resources and learning materials from scratch, giving you a fresh perspective on the tech world. These resources also come in the form of engaging videos, which are short enough to keep you fully focused yet detailed enough to provide a deep understanding of the topic.

World-Class Professors

Let’s not sugarcoat it – modern resources mean nothing if the professors teaching them still stick to old-school principles and approaches. Luckily, this isn’t the case with OPIT’s faculty.

Every member of this faculty has been carefully selected based on their academic expertise, business experience, and global perspective. These professors aim to “help you learn in a more engaging and interesting way,” as Riccardo puts it.

He also adds that OPIT’s faculty breaks away from the common saying in academics, “Those who can’t do, teach.” In his words, “We didn’t want to have people that can teach because they cannot do,” so that’s the standard he prioritized when bringing people on board.

Future-Proof Your Career

Now that you know the fascinating tale of OPIT’s conception, all that’s left to do is to get in touch with our team of experts and take the first step in future-proofing your career. As you’ve already seen, OPIT will take care of most of the subsequent steps. All you need is a desire to learn and an interest in developing new skills, and success is imminent.

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By Chris Torney

Artificial intelligence (AI) and machine learning have the potential to offer significant benefits and opportunities to businesses, from greater efficiency and productivity to transformational insights into customer behaviour and business performance. But it is vital that firms take into account a number of ethical considerations when incorporating this technology into their business operations. 

The adoption of AI is still in its infancy and, in many countries, there are few clear rules governing how companies should utilise the technology. However, experts say that firms of all sizes, from small and medium-sized businesses (SMBs) to international corporations, need to ensure their implementation of AI-based solutions is as fair and transparent as possible. Failure to do so can harm relationships with customers and employees, and risks causing serious reputational damage as well as loss of trust.

What are the main ethical considerations around AI?

According to Pierluigi Casale, professor in AI at the Open Institute of Technology, the adoption of AI brings serious ethical considerations that have the potential to affect employees, customers and suppliers. “Fairness, transparency, privacy, accountability, and workforce impact are at the core of these challenges,” Casale explains. “Bias remains one of AI’s biggest risks: models trained on historical data can reinforce discrimination, and this can influence hiring, lending and decision-making.”

Part of the problem, he adds, is that many AI systems operate as ‘black boxes’, which makes their decision-making process hard to understand or interpret. “Without clear explanations, customers may struggle to trust AI-driven services; for example, employees may feel unfairly assessed when AI is used for performance reviews.”

Casale points out that data privacy is another major concern. “AI relies on vast datasets, increasing the risk of breaches or misuse,” he says. “All companies operating in Europe must comply with regulations such as GDPR and the AI Act, ensuring responsible data handling to protect customers and employees.”

A third significant ethical consideration is the potential impact of AI and automation on current workforces. Businesses may need to think about their responsibilities in terms of employees who are displaced by technology, for example by introducing training programmes that will help them make the transition into new roles.

Olivia Gambelin, an AI ethicist and the founder of advisory network Ethical Intelligence, says the AI-related ethical considerations are likely to be specific to each business and the way it plans to use the technology. “It really does depend on the context,” she explains. “You’re not going to find a magical checklist of five things to consider on Google: you actually have to do the work, to understand what you are building.”

This means business leaders need to work out how their organisation’s use of AI is going to impact the people – the customers and employees – that come into contact with it, Gambelin says. “Being an AI-enabled company means nothing if your employees are unhappy and fearful of their jobs, and being an AI-enabled service provider means nothing if it’s not actually connecting with your customers.”

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Reuters: EFG Watch: DeepSeek poses deep questions about how AI will develop
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  • Reuters, Published on February 10th, 2025.

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  • DeepSeek challenges assumptions about AI market and raises new ESG and investment risks
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  • Disruption fuels doubts over Big Tech’s long-term AI leadership and market valuations
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February 10 – The launch by Chinese company DeepSeek, opens new tab of its R1 reasoning model last month caused chaos in U.S. markets. At the same time, it shone a spotlight on a host of new risks and challenged market assumptions about how AI will develop.

The shock has since been overshadowed by President Trump’s tariff wars, opens new tab, but DeepSeek is set to have lasting and significant implications, observers say. It is also a timely reminder of why companies and investors need to consider ESG risks, and other factors such as geopolitics, in their investment strategies.

“The DeepSeek saga is a fascinating inflection point in AI’s trajectory, raising ESG questions that extend beyond energy and market concentration,” Peter Huang, co-founder of Openware AI, said in an emailed response to questions.

DeepSeek put the cat among the pigeons by announcing that it had developed its model for around $6 million, a thousandth of the cost of some other AI models, while also using far fewer chips and much less energy.

Camden Woollven, group head of AI product marketing at IT governance and compliance group GRC International, said in an email that “smaller companies and developers who couldn’t compete before can now get in the game …. It’s like we’re seeing a democratisation of AI development. And the efficiency gains are significant as they’re achieving similar results with much less computing power, which has huge implications for both costs and environmental impact.”

The impact on AI stocks and companies associated with the sector was severe. Chipmaker Nvidia lost almost $600 billion in market capitalisation after the DeepSeek announcement on fears that demand for its chips would be lower, but there was also a 20-30% drop in some energy stocks, said Stephen Deadman, UK associate partner at consultancy Sia.

As Reuters reported, power producers were among the biggest winners in the S&P 500 last year, buoyed by expectations of ballooning demand from data centres to scale artificial intelligence technologies, yet they saw the biggest-ever one-day drops after the DeepSeek announcement.

One reason for the massive sell-off was the timing – no-one was expecting such a breakthrough, nor for it to come from China. But DeepSeek also upended the prevailing narrative of how AI would develop, and who the winners would be.

Tom Vazdar, professor of cybersecurity and AI at Open Institute of Technology (OPIT), pointed out in an email that it called into question the premise behind the Stargate Project,, opens new tab a $500 billion joint venture by OpenAI, SoftBank and Oracle to build AI infrastructure in the U.S., which was announced with great fanfare by Donald Trump just days before DeepSeek’s announcement.

“Stargate has been premised on the notion that breakthroughs in AI require massive compute and expensive, proprietary infrastructure,” Vazdar said in an email.

There are also dangers in markets being dominated by such a small group of tech companies. As Abbie Llewellyn-Waters, Investment manager at Jupiter Asset Management, pointed out in a research note, the “Magnificent Seven” tech stocks had accounted for nearly 60% of the index’s gains over the previous two years. The group of mega-caps comprised more than a third of the S&P 500’s total value in December 2024.

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