At the Open Institute of Technology (OPIT), we have a simple goal – to provide high-quality yet accessible education in the technology field. But for our courses to be high-quality, the professors behind them must be equally exceptional.

And they absolutely are.

The OPIT professors are paragons of expertise and passion. Each professor has been handpicked for their profound understanding of technology, coupled with extensive academic achievements and industry experience. That’s why these architects of knowledge bring both theoretical depth and real-world insights into every class at OPIT.

So, what better way to get to know our world-class OPIT faculty than to hear their thoughts on the topics they’re passionate about? In this article, you’ll read what five of our top-notch faculty members have to say about tech innovations transforming the world. Of course, you’ll also get a quick overview of other members of our inspiring faculty shaping the next generation of leaders in technology and digital space.

The OPIT Faculty at a Glance

Before diving into our faculty members’ fascinating biographies and insights, let’s take a moment to appreciate the diverse expertise that forms the backbone of OPIT.

Our faculty is a mosaic of over 30 accomplished professionals from all over the world, each bringing a unique perspective to the table.

And that’s the beauty of online learning. How else would you be able to connect with experts spanning the globe, all from the comfort of your own home?

Our inspiring faculty comes from over 15 countries and four continents. The U.S., Canada, Brazil, Lebanon, Germany, France, India and Italy are just some of the nations represented. This collage of diverse backgrounds (and experiences) ensures that your education at OPIT transcends geographical boundaries, offering a truly global perspective on technology.

Meet the OPIT Faculty at the Forefront of Technology

Now that you have a better idea of the diverse expertise within our faculty, let’s introduce you to the brilliant minds at the forefront of technology education at OPIT. This time, we asked five of our esteemed faculty members how recent tech innovations have transformed the world. Here are their answers.

Raj Dasgupta, Ph.D.

Professor Raj Dasgupta is an impressive individual in every regard. He’s currently a research scientist at the U.S. Naval Research Laboratory after teaching computer science for almost 18 years at the University of Nebraska. His research projects have been funded by the U.S. Department of Defense and NASA, and he has earned a Ph.D. in Computer Engineering from the University of California. Talk about a multifaceted professional!

At OPIT, Professor Dasgupta teaches Data Structures and Algorithms, Reinforcement Learning, and Introduction to Artificial Intelligence in the Bachelor of Science in Modern Computer Science program. The last subject is also a part of the Bachelor of Science in Digital Business program. He also teaches Machine Learning in the Responsible Artificial Intelligence program.

When asked about the transformative impact of tech innovations, Professor Dasgupta singled out the brain-computer interface (BCI) system as the technology that fascinates him the most. He explains, “We have been able to link the human thought, the human brain, with these assistive devices.” This connection means that these BCI systems can extract (and use) any thoughts from people who can’t speak for themselves or express their thoughts. As Professor Dasgupta puts it, all it takes is for them to “just think what they want to do.”

 

Santhosh Suresh, Ph.D.

With giants like PayPal, Meta, and McKinsey & Company on his resume at a young age, it’s evident that Professor Santhosh Suresh possesses remarkable expertise in business problem-solving. Business Problem Solving is precisely the subject he teaches at OPIT’s Master of Science in Applied Data Science & AI and Applied Digital Business programs.

So, it’s no wonder his answer to our question also focuses on solving problems, this time with technology. He rejoices at the fact that the ultimate knowledge is no longer reserved only for the rich and privileged. Thanks to advanced data science-based algorithms, “the efficiency of airlines or railroads or how we do operations in the surgery room has gone up exponentially, and that is improving the quality of lives of millions if not billions of people.”

Paco Awissi, MBA

A data science leader. An analytics expert. A machine learning practitioner. These are just some of the impressive attributes that define Professor Paco Awissi’s career. These flattering attributes also landed him the coveted positions of Vice President of Data and Reporting at Morgan Stanley, Lead Instructor at McGill University School of Continuing Studies, and, of course, Professor at OPIT.

Professor Awissi teaches three courses in our Master of Science in Applied Data Science & AI program – Project Management, Applications in Data Science and Artificial Intelligence (Part 2), and Business Communication.

When asked about new tech advancements, he also focuses on AI, explaining that the technology is revolutionizing “risk management, fraud detection, and personalized financial services.” Professor Awissi adds that AI is also used in “algorithmic trading, credit scoring, and automating customer service through chatbots, which improves the efficiency and inclusiveness of financial services.”

Filip Biały, Ph.D.

Professor Filip Biały comes from Poland, where he has taught at the Adam Mickiewicz University in Poznan for over 15 years. When it comes to Professor Biały, it’s hard to tell whether he has more education or experience in computer science and artificial intelligence.

However, his main goal is to understand the consequences of AI for democratic politics, which is why he also emphasizes that the negative impact of digital technologies shouldn’t be overlooked. As for the positive sides of this life-changing technology, Professor Biały says that it is “essential in improving the efficiency of business processes and advancing research, for example, in discovering new drugs.”

At OPIT, you can listen to Professor Biały’s fascinating insights in the Bachelor of Science in Modern Computer Science and Digital Business programs (ICT Fundamentals, Web Development, and Ethics of Computer Science & AI courses).

Tom Vazdar, Ph.D.

Like his colleague, Professor Tom Vazdar also primarily focuses on the negative implications of technological advancements. As a current AI and Cybersecurity Strategist of a boutique consulting firm and the former Chief Security Officer at Erste Bank Croatia, he knows just how important cybersecurity is and how dangerous technological progress can be without adequate safeguards.

That’s why he’s the expert OPIT put in charge of its latest Master of Science program – Enterprise Security. OPIT has worked closely with Professor Vazdar to develop this program and equip students with the most in-demand technical, managerial, and soft skills.

Professor Vazdar also teaches Introduction to Computer Security in the Modern Computer Science and Digital Business programs, as well as Behavioral Cybersecurity in the abovementioned Enterprise
Security program.

Meet More OPIT Faculty Members Helping You Succeed

If you apply to OPIT, you’ll get the unique chance to learn from the very best from all over the world. But until then, you can hear more intriguing perspectives from our faculty members. Visit the Faculty section of our website to get a sneak peek of the incredible expertise and global perspectives that shape OPIT.

The professors at OPIT have either taught at prestigious universities or have a long and impressive history in the industry. For the former, our professor’s biographies are adorned with institutions like the University of Copenhagen, the University of Rome, the Italian Institute of Technology, and the University of Stuttgart.

As for the latter, Microsoft, Meta, Symantec, and UBS are just some of the world-famous companies where our faculty members have left a lasting impact. The same goes for institutions like the Europol, the European Parliament, and the European Investment Bank (EIB).

Though our faculty members come from different corners of the world, they all share a common goal – a relentless pursuit of knowledge. By learning from these top-notch professionals, you’ll get an insight into decades of cutting-edge research, industry collaboration, and real-world experience. This knowledge and the skills you acquire at OPIT will help you play a leading role in the technological revolution, just like your professors.

Related posts

Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 14, 2025 6 min read

Source:


Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

By Gianni Rusconi

Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

CEOs and AI

When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

Read the full article below (in Italian):

Read the article
The Lucky Future: How AI Aims to Change Everything
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 10, 2025 7 min read

There is no question that the spread of artificial intelligence (AI) is having a profound impact on nearly every aspect of our lives.

But is an AI-powered future one to be feared, or does AI offer the promise of a “lucky future.”

That “lucky future” prediction comes from Zorina Alliata, principal AI Strategist at Amazon and AI faculty member at Georgetown University and the Open Institute of Technology (OPIT), in her recent webinar “The Lucky Future: How AI Aims to Change Everything” (February 18, 2025).

However, according to Alliata, such a future depends on how the technology develops and whether strategies can be implemented to mitigate the risks.

How AI Aims to Change Everything

For many people, AI is already changing the way they work. However, more broadly, AI has profoundly impacted how we consume information.

From the curation of a social media feed and the summary answer to a search query from Gemini at the top of your Google results page to the AI-powered chatbot that resolves your customer service issues, AI has quickly and quietly infiltrated nearly every aspect of our lives in the past few years.

While there have been significant concerns recently about the possibly negative impact of AI, Alliata’s “lucky future” prediction takes these fears into account. As she detailed in her webinar, a future with AI will have to take into consideration:

  • Where we are currently with AI and future trajectories
  • The impact AI is having on the job landscape
  • Sustainability concerns and ethical dilemmas
  • The fundamental risks associated with current AI technology

According to Alliata, by addressing these risks, we can craft a future in which AI helps individuals better align their needs with potential opportunities and limitations of the new technology.

Industry Applications of AI

While AI has been in development for decades, Alliata describes a period known as the “AI winter” during which educators like herself studied AI technology, but hadn’t arrived at a point of practical applications. Contributing to this period of uncertainty were concerns over how to make AI profitable as well.

That all changed about 10-15 years ago when machine learning (ML) improved significantly. This development led to a surge in the creation of business applications for AI. Beginning with automation and robotics for repetitive tasks, the technology progressed to data analysis – taking a deep dive into data and finding not only new information but new opportunities as well.

This further developed into generative AI capable of completing creative tasks. Generative AI now produces around one billion words per day, compared to the one trillion produced by humans.

We are now at the stage where AI can complete complex tasks involving multiple steps. In her webinar, Alliata gave the example of a team creating storyboards and user pathways for a new app they wanted to develop. Using photos and rough images, they were able to use AI to generate the code for the app, saving hundreds of hours of manpower.

The next step in AI evolution is Artificial General Intelligence (AGI), an extremely autonomous level of AI that can replicate or in some cases exceed human intelligence. While the benefits of such technology may readily be obvious to some, the industry itself is divided as to not only whether this form of AI is close at hand or simply unachievable with current tools and technology, but also whether it should be developed at all.

This unpredictability, according to Alliata, represents both the excitement and the concerns about AI.

The AI Revolution and the Job Market

According to Alliata, the job market is the next area where the AI revolution can profoundly impact our lives.

To date, the AI revolution has not resulted in widespread layoffs as initially feared. Instead of making employees redundant, many jobs have evolved to allow them to work alongside AI. In fact, AI has also created new jobs such as AI prompt writer.

However, the prediction is that as AI becomes more sophisticated, it will need less human support, resulting in a greater job churn. Alliata shared statistics from various studies predicting as many as 27% of all jobs being at high risk of becoming redundant from AI and 40% of working hours being impacted by language learning models (LLMs) like Chat GPT.

Furthermore, AI may impact some roles and industries more than others. For example, one study suggests that in high-income countries, 8.5% of jobs held by women were likely to be impacted by potential automation, compared to just 3.9% of jobs held by men.

Is AI Sustainable?

While Alliata shared the many ways in which AI can potentially save businesses time and money, she also highlighted that it is an expensive technology in terms of sustainability.

Conducting AI training and processing puts a heavy strain on central processing units (CPUs), requiring a great deal of energy. According to estimates, Chat GPT 3 alone uses as much electricity per day as 121 U.S. households in an entire year. Gartner predicts that by 2030, AI could consume 3.5% of the world’s electricity.

To reduce the energy requirements, Alliata highlighted potential paths forward in terms of hardware optimization, such as more energy-efficient chips, greater use of renewable energy sources, and algorithm optimization. For example, models that can be applied to a variety of uses based on prompt engineering and parameter-efficient tuning are more energy-efficient than training models from scratch.

Risks of Using Generative AI

While Alliata is clearly an advocate for the benefits of AI, she also highlighted the risks associated with using generative AI, particularly LLMs.

  • Uncertainty – While we rely on AI for answers, we aren’t always sure that the answers provided are accurate.
  • Hallucinations – Technology designed to answer questions can make up facts when it does not know the answer.
  • Copyright – The training of LLMs often uses copyrighted data for training without permission from the creator.
  • Bias – Biased data often trains LLMs, and that bias becomes part of the LLM’s programming and production.
  • Vulnerability – Users can bypass the original functionality of an LLM and use it for a different purpose.
  • Ethical Risks – AI applications pose significant ethical risks, including the creation of deepfakes, the erosion of human creativity, and the aforementioned risks of unemployment.

Mitigating these risks relies on pillars of responsibility for using AI, including value alignment of the application, accountability, transparency, and explainability.

The last one, according to Alliata, is vital on a human level. Imagine you work for a bank using AI to assess loan applications. If a loan is denied, the explanation you give to the customer can’t simply be “Because the AI said so.” There needs to be firm and explainable data behind the reasoning.

OPIT’s Masters in Responsible Artificial Intelligence explores the risks and responsibilities inherent in AI, as well as others.

A Lucky Future

Despite the potential risks, Alliata concludes that AI presents even more opportunities and solutions in the future.

Information overload and decision fatigue are major challenges today. Imagine you want to buy a new car. You have a dozen features you desire, alongside hundreds of options, as well as thousands of websites containing the relevant information. AI can help you cut through the noise and narrow the information down to what you need based on your specific requirements.

Alliata also shared how AI is changing healthcare, allowing patients to understand their health data, make informed choices, and find healthcare professionals who meet their needs.

It is this functionality that can lead to the “lucky future.” Personalized guidance based on an analysis of vast amounts of data means that each person is more likely to make the right decision with the right information at the right time.

Read the article