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We make innovation accessible by removing the internal and external barriers to companies, reducing the time to access new technologies thanks to our network, eliminating the entry costs required to introducing new digital technologies into the business.

Partner Network

We firmly believe in the power of sharing.
Our partner network includes Tech Companies, Innovative Startups, Research Centers, Trade Associations and Venture Capital.
Collaborating with us means access to a wide range of top-level skills and know-how that will make your business take a concrete leap in quality.

The recent development of Majorana 1 technology marks a significant advancement in quantum computing, opening new perspectives in various scientific and technological fields. This innovative quantum chip leverages the properties of Majorana fermions, particles hypothesized by physicist Ettore Majorana in 1937, which behave as their own antiparticles. Their unique nature has attracted the attention of the scientific community, as they could revolutionize qubit construction and enhance the stability of quantum systems.

In the realm of quantum computing, this new generation of technologies stands out for its use of topological qubits, which are less susceptible to errors caused by quantum decoherence. Unlike conventional qubits, which require highly controlled environments and are vulnerable to external disturbances, topological qubits ensure greater robustness due to their intrinsic properties. This approach could facilitate the development of large-scale quantum computers, improving the reliability and efficiency of quantum operations. Furthermore, their resistance to errors could accelerate the realization of practical applications in quantum simulation and complex optimization, areas where classical computing has significant limitations.

The applications of these new technological products extend to cybersecurity and quantum cryptography. Their unique characteristics enable the development of highly secure cryptographic protocols, potentially immune to attacks from future quantum computers. Considering the evolution of cybersecurity threats, this represents a significant advancement in protecting sensitive data. The creation of quantum communication networks based on these innovations could contribute to building more secure and reliable information infrastructures, drastically reducing the risk of unauthorized interceptions.

Particle physics could benefit from these advancements, providing tools to experimentally confirm the existence of Majorana fermions. Their identification could revolutionize our understanding of dark matter and the fundamental mechanisms of the universe, helping to address some of the most complex questions in theoretical physics. Additionally, experiments using these technologies could facilitate the discovery of new states of matter and open unexplored avenues in supersymmetry and unified theories research.

In the field of electronics and nanotechnology, these advancements offer opportunities for the development of advanced superconducting circuits. The use of Majorana fermions could lead to the creation of devices with lower energy dissipation and higher efficiency, transforming the design of electronic components and improving the performance of quantum processors and memory. The ability to manipulate quantum states in a more stable and predictable manner could result in a new generation of quantum transistors, accelerating the integration of quantum computing into consumer and industrial devices. The application of these innovations in the energy sector, particularly in controlled nuclear fusion, could foster new strategies for energy production and management, with significant implications for sustainability and emissions reduction.

The medical field could also benefit from the integration of these technologies into quantum imaging devices. Quantum sensors based on this technology could enhance the resolution of diagnostic images, facilitating early disease detection and providing innovative tools for biomedical research. The increased sensitivity of these devices would also allow for the detection of biological signals with unprecedented precision, expanding the potential of personalized medicine. The use of these innovations could further accelerate the development of new biomarkers for neurodegenerative and oncological diseases, providing advanced tools for diagnosis and patient monitoring.

However, the impact of this technology will not be confined to laboratories or research centers; the average citizen will experience its benefits in concrete and transformative ways.

In everyday life, these innovations could make electronic devices more powerful and faster, bringing tangible improvements to smartphones, personal computers, and cloud services. The increased processing capacity will enable more advanced and responsive artificial intelligence applications, enhancing virtual assistants, automatic translators, and real-time data analysis tools.

Digital infrastructures will also benefit: Internet connections could become more secure thanks to quantum encryption protocols, protecting the sensitive data of millions of users. E-commerce and financial services could adopt systems based on these technologies to ensure more secure transactions and resilience against cyberattacks, offering greater protection against digital fraud.

In the healthcare sector, citizens could benefit from faster and more accurate diagnoses, with medical exams providing detailed results in shorter time frames. The ability of artificial intelligence systems to analyze medical data with greater precision could lead to more personalized and effective treatments, improving people's quality of life.

As active participants in the technological ecosystem, we look forward with enthusiasm to the transformative potential of these innovations and their implications in our research and development fields. The integration of quantum computing and artificial intelligence could open new frontiers, enabling us to tackle optimization problems on an unprecedented scale. The synergy between quantum hardware and advanced machine learning systems could give rise to new computational architectures capable of redefining the landscape of technological innovation.

The impact of quantum security on digital infrastructures is another area of particular interest. The prospect of quantum-encrypted communication networks introduces security scenarios never before achieved, protecting data and transactions with virtually unbreakable protocols.

Looking ahead, we believe these advancements represent a pivotal moment in the technological sector. The anticipation for the next phases of development is filled with excitement—we stand before a unique opportunity to redefine the paradigms of computing and beyond. With the continuous evolution of research and the intersection with other emerging technologies, the future of quantum computing could take on an entirely new dimension, radically transforming how we conceive and use technology.

Sources

Nayak, C., Simon, S. H., Stern, A., Freedman, M., & Das Sarma, S. (2008). "Non-Abelian anyons and topological quantum computation." Reviews of Modern Physics, 80(3), 1083.

Kitaev, A. Y. (2003). "Fault-tolerant quantum computation by anyons." Annals of Physics, 303(1), 2-30.

Sarma, S. D., Freedman, M., & Nayak, C. (2015). "Majorana zero modes and topological quantum computation." npj Quantum Information, 1(1), 15001.

Alicea, J. (2012). "New directions in the pursuit of Majorana fermions in solid-state systems." Reports on Progress in Physics, 75(7), 076501.

Photo: Microsoft

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In today’s business landscape, digital transformation is no longer a strategic choice but a fundamental necessity to compete, grow, and survive. With the evolution of digital technologies and changing customer expectations, every company must rethink its processes, business models, and strategies. Why is digital transformation so crucial?

Meeting new customer expectations

Modern customers demand seamless, personalized, and immediate experiences. Companies leveraging digital tools to meet these expectations gain a competitive edge.

Technologies such as data analytics enable businesses to better understand customer behavior, while artificial intelligence (AI) personalizes interactions, making them more engaging and effective.
Take Amazon as an example: it goes beyond selling products by using advanced algorithms to provide personalized recommendations and ensure fast deliveries. Such services are only possible due to a robust digital infrastructure.

Similarly, traditional banks have been overtaken by fintech services like Revolut or N26, which offer fully digital, user-centric banking experiences.

One compelling example is an Italian retail group supported by Frontiere. Faced with shifting consumer habits, the chain integrated an e-commerce platform with its physical stores and implemented an advanced CRM system. Customers received tailored promotions and recommendations, driving a 50% increase in online traffic and a 20% improvement in customer retention. The integration of digital tools turned physical stores into strategic assets, illustrating how digitalization enhances customer experiences.

Optimizing operational efficiency lessons

Digitalization allows companies to automate repetitive processes, improve efficiency, and reduce waste. Every sector, from logistics to manufacturing, can benefit from streamlined and interconnected systems.

Platforms for cloud-based collaboration make workflows more agile, enabling teams to access real-time information and make better-informed decisions. Logistics companies like DHL use IoT tracking systems to monitor packages and optimize delivery routes. In manufacturing, automation reduces costs while enhancing precision, as seen in Tesla's highly automated factories for electric vehicles.

Frontiere worked with a 50-year-old Italian manufacturing company facing operational inefficiencies. They implemented management software to automate processes, predictive analytics tools for real-time performance monitoring, and a direct-to-customer online platform. These interventions reduced production times by 30% and waste by 20%, enabling the company to reclaim its competitive edge in the global automotive market.

Innovating to stay relevant

Companies that fail to embrace innovation risk losing ground to competitors. Digital transformation not only enhances existing processes but also enables the creation of entirely new business models, products, and services.

Technologies like the Internet of Things (IoT) and blockchain are revolutionizing industries such as manufacturing, logistics, and finance. Spotify, for example, shifted from selling physical albums to a subscription-based streaming model, and Airbnb transformed hospitality by connecting hosts and travelers through a digital platform.

The Italian retail group previously mentioned created an omnichannel experience to meet shifting consumer behavior, turning a challenge into an opportunity for growth. Their story highlights the necessity of innovation in staying ahead of the curve.

Preparing for crises and disruptions

If the recent pandemic has taught us anything, it’s that resilience is essential. Companies that had already invested in digital solutions—like Zoom—were able to adapt quickly, continuing operations remotely or adjusting their business models to meet new market demands.

In more traditional sectors, McDonald’s serves as an excellent example. It swiftly adapted its services by implementing online ordering systems and home delivery via apps during lockdowns. These choices enabled the company to maintain revenue flow despite the closure of physical restaurants.

Digital transformation provides the tools to navigate uncertainty and respond rapidly to changes, building stronger and more flexible organizations.

The retail group supported by Frontiere implemented an online order and in-store pickup system, ensuring operational continuity during the lockdown. This approach not only preserved revenue but also strengthened customer relationships, demonstrating how critical digitalization is in overcoming crises.

Data-driven decision making

In an increasingly complex world, intuition alone is no longer sufficient. Business decisions must be based on data. Advanced analytics tools help extract valuable insights, identify trends, and predict future scenarios.

Netflix, for example, uses user data to personalize content recommendations and even develop new original productions. The series "House of Cards" was born from data analysis that identified a strong demand for political thrillers among its viewers.

Similarly, fashion retailer Zara uses real-time sales data to quickly adapt collections to consumer preferences, minimizing excess inventory and maximizing sales.

In the Italian manufacturing company supported by Frontiere, predictive analytics improved planning, reduced waste, and enhanced operational efficiency.

A data-driven company not only mitigates risks but also seizes opportunities more effectively and promptly.

Company culture as a driver of change

Digital transformation isn’t just about technology—it’s about people. A company culture that fosters experimentation, continuous learning, and collaboration is essential for success.

Microsoft reinvented its corporate culture under Satya Nadella’s leadership, shifting from internal competition to collaboration and innovation.

Lego also embraced a culture of experimentation and customer feedback, revitalizing its brand with new product lines and digital platforms like Lego Ideas, where fans can propose new sets and collaborate with the company.

Frontiere demonstrated the importance of placing people at the center during its intervention in the manufacturing company. Employee workshops turned initial fear of automation into enthusiasm, proving that transformation is an opportunity, not a threat.

Adopting digital transformation requires a mindset shift at all organizational levels, from leadership to operational teams. Investing in training and talent development is critical to ensure that employees are ready to harness digital opportunities.

Conclusion: a pathway to the future

Digital transformation is the bridge to the future. It’s not just about competing more effectively but about surviving in an ever-changing world. Investing in digital today means building an organization capable of facing tomorrow’s challenges with agility, creativity, and resilience.

Companies that embrace this transformation don’t just adapt; they thrive, becoming leaders in their industries. It’s never too late to embark on the digital journey, but every day of delay increases the gap between leaders and laggards in the market.

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Embracing digital transformation doesn’t simply mean adopting new technologies; it requires a profound rethinking of how organizations operate. This process encompasses people, culture, and strategies, integrating them into a coherent and unified vision.

Digital transformation is not just a technical exercise but a journey that demands flexibility and adaptability. Every technological choice must align with business objectives, keeping values like sustainability and ethics at the forefront. This approach not only enables companies to tackle today’s challenges but also prepares them to thrive in the future.

Frontiere: a human and transparent approach

Our goal is not merely to deliver technological solutions but to help companies find a balance between innovation and sustainability. We enjoy working side by side with businesses, understanding their needs, and guiding them through a journey that has a tangible impact on their operations.

Transparency is a cornerstone of our work. Every step, decision, and development is shared: we want our partners to maintain full autonomy and control over the solutions we create together. This approach stems from the belief that real change is built on trust, not dependencies or constraints.

People are always at the center. For us, innovation means creating solutions that are not only functional but also accessible and respectful of the users’ needs. It’s a process that balances efficiency and empathy, technology and identity. Our goal is not just to improve but to do so without losing sight of the human context every innovation must serve.

Looking ahead: a conscious digital future

Technology is a powerful tool, but it is not an end in itself. We view digital as an opportunity to overcome limits and boundaries, opening new pathways for both businesses and society. Every project is designed to be useful, sustainable, and ethical because we believe progress only makes sense if it improves people’s lives.

It’s not just about innovating but doing so responsibly. We want our solutions to have a positive impact—not just for those who adopt them but for the entire ecosystem in which they operate. This is our vision of a digital future: a space that offers real possibilities without losing sight of fundamental values.

An inspiring experience

One collaboration that left a significant impression on us occurred a few years ago, just before the COVID period, with a small manufacturing company grappling with the challenges of digitalization. The initial goal was to optimize production processes with new technologies, but early discussions revealed a more complex reality: employees were afraid of losing their roles to automation.

We realized that introducing innovative tools wasn’t enough. Building a path of trust and education was essential. Together with the company, we organized workshops to explain the value of the new solutions and demonstrate how they could enhance everyone’s work, not replace it. Gradually, enthusiasm replaced fear, and it was extraordinary to witness.

Today, that company not only successfully utilizes new technologies but also has a more motivated and engaged team of employees. This experience reminds us daily how vital it is to put people at the center because true change starts there.

Conclusion

Digital transformation is never an easy path, but it can be an opportunity to create something meaningful. At Frontiere, we strive to be an ally in this journey—not just a provider but a partner, sharing ideas, challenges, and achievements.

The future isn’t built alone, but together. We’re here to make it happen.

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At the vibrant intersection of art and technology, Re:Humanism stands as a pioneering project, exploring the impact of artificial intelligence (AI) on contemporary art. Founded in 2018, this biennial award goes beyond celebrating the creative potential of new technologies, delving deeply into the ethical, social, and cultural questions they raise.

We had the privilege of interviewing Daniela Cotimbo, art historian and curator, who guided us through the genesis, evolution, and future of Re:Humanism. Below is the full interview, where Daniela shares her vision, highlights of past editions, and the challenges awaiting the next chapter of this unique initiative.

"Re:Humanism brings art and artificial intelligence into a unique dialogue. What was the initial idea behind the project, and how has it evolved over time?"

Re:Humanism was born in 2018 from a collaboration between me, an art historian and curator, and Alfredo Adamo, now CEO of Frontiere, with the aim of offering reflections on the advancements of techno-science, particularly AI. The first edition of the prize was a success, with significant participation from artists and audiences and thought-provoking discussions. This encouraged us to continue, establishing the prize as a biennial event and creating a cultural association.

Today, Re:Humanism seeks to maintain its focus even between prize editions, organizing activities such as exhibitions, performances, debates, workshops, and the production of publications.

"Looking back at past editions of the Re:Humanism Art Prize, which projects or works impressed you the most, and why? How did these pieces embody the spirit of the prize?”

It’s always difficult to single out specific projects from a collection where every piece was chosen to enhance the initiative’s goals. That said, I’ll highlight a few projects that have sparked new perspectives and collaborations.

In the first edition, Adversarial feelings by Lorem comes to mind—a project that, even in 2018-2019, experimented with generative neural networks to explore emotional states as audiovisual flows. This was Lorem’s first project using AI, and it led to further collaborations, including a publication with his Krisis Publishing house. 

The second edition, held in the immediate post-pandemic period, focused heavily on our relationship with nature and other living species. A standout project was Epitaphs for the Human Artist by Numero Cromatico, a multidisciplinary research center in neuroaesthetics. Their work included an installation and a publication of poems generated by a neural network trained to create epitaphs—poetic forms presented alongside a study on primary colors, highlighting the evocative power of "alien" poetry.

From the third edition, I’d mention Ai Love, Ghosts and Uncanny Valleys <3 . I Broke up with my Ai and will never download them again by Mara Oscar Cassiani. This project offered a poignant reflection on toxic relationships mediated by social platforms, affective chatbots, and customizable avatars. The participatory installation allowed visitors to interact with discarded, sexualized avatars through cushions on a fake grass setup, addressing digital exploitation while also offering resources to combat online abuse.

These are just a few of the many projects that have enriched our experience over the years. Some are even part of the collection hosted at Frontiere’s headquarters in Rome.

"The Re:Humanism Art Prize invites contemporary artists to engage with AI-related themes. What can we expect this year? What is the theme for the 2025 edition? What are the main selection criteria, and what kind of dialogue do you aim to foster with the public through these creations? When and where will the selected works be exhibited?"

Compared to previous years, this edition of Re:Humanism will take a more specific approach, delving into some of the issues surrounding new artificial intelligence models, commonly known as LLMs. Artists will be invited to reflect on their creative potential, explore how AI can be utilized from feminist and decolonial perspectives, and address the theme of sustainability.

It’s a significant challenge that, in our view, aligns with the growing accessibility of tools enabling everyone to test both the potential and risks of this technology.

The selection process will remain the same: a mixed jury composed of experts in contemporary art, media art, and advanced technologies will evaluate proposals based on the quality of the submission, the robustness of the project and the artist, originality, and thematic sensitivity.

There will also be some new developments regarding the awards, which we are not yet ready to announce. However, we can confirm that the exhibition will be hosted by Fondazione Pastificio Cerere and will take place in June 2025.

"How is AI redefining the role of artists and the creative process? What challenges and opportunities do you see for the future of art in relation to technology?"

I see challenges for everyone, but I see art as an opportunity to face them! I’m quite critical of the debate that fascinates many, namely the interference between human artists and AI as a creative entity.

AI is undoubtedly changing how we conceive and produce art—and, as always with new technologies, this is both good and bad. On the positive side, AI expands expressive possibilities, even for those who might not be entirely comfortable with visual or digital media.

On the other hand, it’s often forgotten that behind the magic of a prompt lies a learning and generative process that operates with autonomous, recursive dynamics, often marked by biases, errors, and other dysfunctions. Not settling for results and learning to observe them critically is essential for the proper use of AI in the artistic field, and this is the invitation we extend to all artists.

Another important point: reflecting on AI has taught me that the future that matters most to me isn’t the one I can predict, but the one I can build.

"Re:Humanism tackles ethical and social issues related to AI. What are the most pressing implications that art can help us better understand?"

We are living in a rather dark era, where disinformation and echo chambers are increasingly driving polarization and radicalization of opinions.

This phenomenon is rooted in a burdensome history of discrimination that has, for years, shaped technological advancements.  

Techno-scientific progress is not neutral; it is created by people who often design from asymmetric perspectives and objectives. While some issues related to AI are not new, it continues to present significant problems, including discrimination against women, non-conforming individuals, and people of diverse ethnic and social backgrounds. These challenges become even more dangerous when we lose the ability to trace their origins.  

Advanced interfaces of large language models (LLMs) allow us to generate increasingly sophisticated and realistic content using natural language. The problem will arise when these tools are fully integrated into search engines, potentially excluding non-repetitive but culturally diverse results.  

We also know that many big tech companies that pledged to meet sustainability goals —regarding energy consumption, resource use, and CO2 emissions—are failing to achieve these targets, largely due to the demands of artificial intelligence.  

This raises an urgent question: how can we design technologies that do not further endanger the planet's health and well-being but instead provide solutions to mitigate the damage already done?  

How can art help us? Artists have never stopped questioning these issues, although today they are asked to pay greater attention to the context surrounding them. Advanced technologies represent new forms of language that shape our experience, and major themes like time, space, intimacy, relationships, and memory have evolved in response to these discoveries.  

Artists can amplify this perspective because they have the unique ability to delve into the heart of these issues, overturn established viewpoints, and, more often than not, act as outstanding inventors.  

The importance of an ongoing dialogue

Re:Humanism is more than an award—it’s a platform for questioning the potential and limits of AI through the critical lens of contemporary art. The challenges faced by artists today are not just about creative experimentation but also about building a more inclusive, sustainable, and conscious technological future.

To learn more about Re:Humanism and the 2025 edition, follow our blog and official project channels. Stay connected to explore how art and technology can come together to redefine our perception of the world.

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Digital Transformation is one of the most discussed topics of our time, a phenomenon that has evolved conceptually over decades. From the initial attempts at digitization in the 1960s to the Web 2.0 era and the current widespread adoption of advanced technologies such as artificial intelligence (AI) and blockchain, the pillars that drive this transformation have adapted and expanded to meet the changing needs of organizations.

This article explores, on one hand, the history of digital transformation pillars, analyzing their evolution and the theories shaping their development. On the other hand, it delves into the essential pillars driving today’s successful transformations.

A historical overview of Digital Transformation Pillars

1960s–70s: digitalizing basic operations

In the 1960s and 1970s, digital transformation was synonymous with automation and the computerization of core business processes. Companies replaced manual ledgers with computer systems, often relying on large mainframes.

A landmark example is the IBM System/360, launched in 1964, which allowed businesses to standardize digital processes at scale. The key pillars during this era were:

Frederick P. Brooks Jr., in The Mythical Man-Month (1975), highlighted the complexities of managing large-scale technology projects, laying the groundwork for more deliberate approaches to digital transformations.

1990s: Internet and digital models

The advent of the internet in the 1990s sparked a new wave of innovation, extending digitization beyond internal processes to customer and partner interactions. The era’s key pillars included:

Clayton Christensen’s concept of “disruption” in The Innovator’s Dilemma (1997) emphasized the necessity of embracing innovative technologies to stay competitive.

2000s: mobility and cloud computing

The rise of smartphones and cloud technologies enriched digital transformation pillars:

Nicholas Carr’s Does IT Matter? (2003) raised the issue of how IT could lose its strategic value if not implemented distinctively, underscoring the importance of tailored solutions.

2010 to present: data and Artificial Intelligence

In recent years, the focus has shifted to leveraging data strategically and adopting emerging technologies:

McKinsey highlights that only 30% of digital transformations achieve tangible results, emphasizing the need for a clear vision and well-defined pillars.

Today’s Pillars of Digital Transformation

1. Leadership and strategy

Digital transformation demands strong leadership and a well-defined strategy. Leaders must identify digital opportunities and translate them into actionable business objectives.

An interesting example is Starbucks, which, under the leadership of Kevin Johnson, introduced a digitalization strategy integrating mobile apps, digital payments, and data-driven personalization, enhancing customer experience and increasing loyalty.

2. Talent and organizational culture

People are at the heart of digital transformation. A culture that fosters continuous learning, collaboration, and openness to change is crucial.

According to a Deloitte study, companies that invest in employee training are 37% more likely to successfully complete their digital transformation.
Take the case of Adobe, which shifted its business model from traditional software licenses to a cloud-based subscription system. This transition was accompanied by significant investment in employee training and the development of a customer-oriented culture.

3. Data and Artificial Intelligence

Data underpins modern strategic decisions. Companies leveraging advanced analytics and AI can anticipate market trends and respond to customer needs more effectively.

A significant example is Heineken, which leverages data analysis to optimize advertising campaigns and logistics, improving product distribution based on local demand.

4. Agility and innovation

The ability to adapt quickly is vital in today’s business environment. Agile methodologies and design thinking empower companies to experiment with new ideas and bring solutions to market rapidly.

For example, Tesla adopts an agile approach to introduce innovations in its vehicles at record speed, often outperforming traditional competitors.

5. Sustainability and social impact

Today, sustainability is an essential pillar of digital transformation. Companies cannot overlook the environmental and social impact of their operations.

Patagonia is a shining example: it uses digital technologies to optimize its supply chain and reduce waste, demonstrating how innovation and sustainability can go hand in hand. Another noteworthy example is IKEA, which has invested in technologies to optimize energy management in its stores and improve material traceability, ensuring a more sustainable lifecycle for its products.

Conclusion

Digital transformation is an ongoing journey, driven by pillars that have evolved to address the challenges of each era. From the operational automation of the 1960s to today’s data-driven ecosystems, the pillars reflect a shift toward holistic approaches that prioritize people, processes, and societal impact.

In the modern era, the pillars of digital transformation go beyond technology to encompass leadership, culture, innovation, and sustainability. Organizations mastering these elements will not only adapt to change but thrive in an ever-evolving world.

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In today's rapidly evolving business environment, addressing the challenges of digital transformation requires a clear strategy and a structured method. Frontiere has developed a three-phase approach — Assessment, Strategic Planning, and Execution — which not only manages the complexities of change effectively but also aligns with global best practices in consulting and business transformation. This approach is not just a statement of intent but a process validated by academic studies and market insights that confirm its effectiveness.

1. Assessment: the foundation of accurate preliminary analysis

Every transformation journey begins with a thorough analysis of the organization. The goal is to map workflows, analyze existing systems, and identify opportunities for improvement. This phase, often underestimated, forms the bedrock of success for any strategic intervention.

According to McKinsey’s report "The Key to Digital Transformation Success", a detailed initial analysis allows companies to establish a clear starting point, highlighting gaps to address and areas of excellence to leverage. Similarly, Gartner’s "Digital Transformation Playbook" emphasizes that companies conducting rigorous assessments are 35% more likely to achieve tangible results compared to those that overlook this phase.

Our approach is rooted in this principle: analyzing, understanding, and mapping internal dynamics to avoid generic interventions and instead deliver solutions tailored to the client’s specific needs.

2. Strategic planning: crafting a tailored roadmap

Following the assessment, we focus on defining a strategic roadmap centered on concrete objectives and customized solutions. This process goes beyond merely proposing technologies; it integrates operational processes and business goals into a feasible and sustainable plan.

Academic contributions in this area are extensive. Harvard Business Review, in its article "Why Strategy Execution Unravels—and What to Do About It", asserts that clear priorities and a well-structured plan are critical to overcoming operational challenges and ensuring success. Furthermore, MIT Sloan Management Review's report "The Nine Elements of Digital Transformation" highlights that a strategic roadmap helps optimize resources and mitigate risks effectively.

Our team translates these best practices into tangible results. For instance, in a recent engagement with an Italian manufacturing company, implementing a strategic plan led to a 30% reduction in production times and improved operational efficiency through automation and predictive analytics solutions.

3. Execution: from idea to concrete impact

The execution phase is the critical moment where planned strategies are put into practice. Our organization stands out for its pragmatic approach, which doesn’t stop at theoretical solutions but aims to achieve measurable outcomes, ensuring that every recommendation is applied effectively and sustainably.

PwC, in its study "Success Factors in Digital Transformation Projects", states that implementation is the most crucial stage of digital transformation. The ability to execute a strategy effectively defines the boundary between success and failure. Similarly, Accenture’s research "Getting Unstuck: Breaking Through the Barriers to Transformation Success" highlights that a focus on measurable impact distinguishes successful transformation projects.

A practical example of our execution efficiency is its work with a retail chain in Italy, which experienced a 50% increase in e-commerce traffic and saw 35% of online orders placed for in-store pickup, thanks to a seamless integration between physical and digital channels.

Validated by global best practices

Frontiere’s structured three-phase approach aligns closely with methodologies adopted by global leaders like Amazon Web Services (AWS) and Deloitte, who use similar models to guide business transformation. AWS, for example, follows a framework structured around Assess, Mobilize, Execute, which mirrors our process, while Deloitte employs a model based on analysis, strategic planning, and implementation.

These parallels demonstrate that Frontiere’s approach is not only innovative but also consistent with globally accepted best practices, reinforcing the validity of its solutions and the value it delivers to clients.

What sets us apart from these giants, however, is its agile structure, enabling it to respond to clients’ needs more effectively, flexibly, and efficiently. This agility reduces response times, further customizes solutions, and ensures constant engagement with businesses, delivering results that truly address their unique requirements.

Conclusion: creating value through a proven methodology

The strategic approach we’ve been discussing is not just an operational method but a structured, results-oriented pathway designed to address the challenges of digital transformation with precision and vision. The combination of accurate assessment, tailored strategic planning, and effective execution ensures that businesses can not only adapt to change but thrive in an ever-evolving landscape.

With the support of academic and market evidence, it is clear that this method is not merely an option but a necessity for those looking to build success on solid, sustainable foundations. Frontiere, with its targeted and proven approach, stands as a trusted partner to guide organizations into the future.

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In the rapidly evolving landscape of Artificial Intelligence (AI), 2024 marks a pivotal moment for the governance of this revolutionary technology. The announcement of Huderia, an innovative tool for assessing the risks and impacts of AI systems, underscores the Council of Europe’s Artificial Intelligence Committee (CAI)’s commitment to responsible and transparent regulation.

What is Huderia?

Huderia, officially unveiled on December 11, 2024, is a tool designed to guide governments, companies, and organizations in assessing risks associated with the use of AI systems. This framework builds on the fundamental principles of the Framework Convention on AI, adopted by the Council of Europe in May 2024, emphasizing the importance of ensuring that AI is developed and used in respect of human rights, democracy, and the rule of law.

Huderia offers a systematic approach to identifying risks to human rights, evaluating the social and economic impact of AI technologies, and ensuring transparency and accountability in decision-making processes.

Why is Huderia important?

The introduction of Huderia is a significant step toward more robust and inclusive AI governance. In a global context where technology is often implemented without adequate oversight, Huderia provides a structured framework to mitigate risks and maximize AI’s benefits.

Some key aspects of Huderia's importance include the following:

  1. Protecting human rights: Huderia places fundamental rights at the core, aiming to prevent discrimination, privacy violations, and other negative impacts.
  2. Building trust: By offering clear and transparent guidance, Huderia helps build trust among citizens, institutions, and AI developers.
  3. Aligning with European values: The tool reflects Europe’s commitment to responsible innovation based on ethical and regulatory principles.

The role of CAI in 2024

Huderia’s launch is just one of many milestones achieved by the Artificial Intelligence Committee throughout the year. Under the Council of Europe’s guidance, the CAI has worked on multiple fronts to ensure effective AI governance, including adopting the Framework Convention on AI, which establishes principles and guidelines for member states to promote harmonized, rights-oriented regulation. The CAI has also fostered international cooperation, facilitating dialogue among governments, international organizations, and tech companies to address global AI challenges. In addition, the CAI has supported practical tools like Huderia while creating operational guidelines and implementation frameworks to assist member states in adhering to the convention. Furthermore, the CAI has launched initiatives to educate citizens and professionals about AI’s risks and opportunities.

Our contribution: Frontiere and a shared vision

As the Frontiere team, we have followed the work of CAI with great interest and engagement, recognizing in Huderia an approach that deeply resonates with our vision, which is also central to the associations we co-lead: Re:Humanism and Sloweb. As an entity committed to developing responsible technological solutions, we share with CAI the goal of balancing innovation with respect for human rights.

Huderia inspires us to continue developing tools and frameworks that integrate ethical principles, sustainability, and transparency. We believe our approach, which focuses on identifying risks and promoting trust in decision-making processes, complements the framework outlined by CAI.

Our vision is to build a future where AI’s benefits are equitably distributed and accessible to all, helping bridge the digital divide and addressing the ethical and social challenges posed by technology. Collaboration with institutional and private stakeholders is essential to realizing this vision, ensuring that technology remains a driver of equitable and sustainable progress.

Looking Ahead

Huderia represents a turning point in AI governance, and we are eager to see how it will shape the work of global stakeholders and what the next steps will be toward more responsible and inclusive AI governance. At Frontiere, we will continue to closely monitor these developments, contributing our approach and vision to the global dialogue on ethical and sustainable technology.

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A recent TikTok video caught my eye: the famous singer Robbie Williams, sitting quietly on a bench, observing passersby undisturbed. This seemingly mundane scene reminded me of a social experiment conducted in 2007, offering valuable insights into modern management.

The Pearls Before Breakfast experiment

The Pearls Before Breakfast experiment, conceived by Washington Post journalist Gene Weingarten, posed a provocative question: in an ordinary context, would people recognize talent? To answer this, Weingarten orchestrated a bold demonstration with renowned violinist Joshua Bell.

On January 12, 2007, at 7:51 AM, Bell positioned himself at the entrance of L’Enfant Plaza metro station in Washington D.C. Dressed casually in jeans and a baseball cap, the celebrated musician began playing complex classical pieces from his repertoire on a 1713 Stradivarius violin worth $3.5 million. The location wasn’t random: L’Enfant Plaza is primarily frequented by mid-level managers heading to the heart of the federal capital.

The result was startling: out of 1,097 passersby, only seven stopped for more than a minute. Most walked by without a glance, hurried and distracted. Bell collected just $32.17, with $20 coming from a single person who recognized him. This outcome was surprising, considering that the previous evening, Bell had performed in a Boston theater with tickets priced at $100.

5 key lessons

I find this experiment illuminating on crucial aspects of modern management, offering five fundamental lessons that I’ve adopted and wish to share:

  1. Contextual Influence: As managers, we must be aware of how context influences our perception of others’ competencies. The environment shouldn’t overshadow talent.
  2. Overcoming Biases and Expectations: It’s essential not to tie our judgment to where skills are displayed. Talent can emerge anywhere, even in the most unexpected contexts.
  3. Attention Beyond Haste: In a frantic world, we must resist the temptation to focus solely on immediate goals. An open mind can reveal hidden opportunities and talents.
  4. Intrinsic Value vs. Perception: A person’s or performance’s value shouldn’t depend on the context but on its inherent quality. As managers, we must hone our ability to recognize authentic value.
  5. Rethinking Cost-Benefit Analysis in Relationships: We often quickly assess whether to interact with others based on superficial criteria. It’s crucial to develop a deeper, more human evaluation model.

Bell’s experiment reminds us that true managerial talent lies in the ability to recognize excellence, regardless of context. In an era where managers risk becoming mere executors, these lessons invite us to rediscover the role of guide and mentor.

Managerial competence

Managerial competence is a synthesis of training and experience, and its ultimate purpose is to grow people. Recognizing the “music” in everyday noise, appreciating talent in its most unexpected forms, and cultivating an environment that values excellence are crucial skills for the modern manager.

As we reflect on these lessons, let’s remember that the true art of management lies in creating harmony from the diverse notes of human talent, transforming the workplace into a symphony of growth and innovation where icollective genius can always manifest undisturbed.

P.S.: Thanks to the article in which Weingarten described this experiment, he was awarded the Pulitzer Prize in 2008.

Article source: Linkedin Article by Vincenzo Gioia

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The mechanic's hammer and generative artificial intelligence

Artificial "Intelligences" (AIs) have always attracted me for the fascination with which they were cloaked thanks to Hollywood films. 2001 A Space Odyssey, Ex Machina are films that I watch over and over again, always discovering new food for thought. In recent years, the professional contribution from which I have benefited thanks to the colleagues with whom I have been lucky enough to work and with whom today I have a structured vision (at least I think it is) of the technological capabilities and impacts on people's professional and personal daily lives.

The points for reflection that have followed one another over time have been noted in my articles to generate a comparison that does not stop at the state of the art of research which requires years to understand the nature of what is happening through the use of AI.

For personal convenience, I summarize the path traced by the articles I wrote.

Alien "intelligences"

Some time ago, in this article, I wrote down my reflections on the concept of intelligence. I did it because I think that intelligence is an unknown creature despite being talked about every day. Among the "intelligences" that populate our world and which I talk about in the article there are also the newborn artificial "intelligences" (AI) which are becoming an increasingly widespread tool both in the professional and consumer fields due to their notable generative capabilities and simplicity with which you can interact with them.

Bias and hallucinations of AI

History has taught us that, like any great tool, artificial intelligence also brings with it new and unexpected problems which, as written in this article, in the case of AI, the major problems are linked to the presence of bias which I consider inevitable and existing even where its presence is excluded. The unexpected nature of AI problems, as exposed in this article co-written with my friend Remco Foppen, is also manifesting itself in the form of hallucinations which, far from being an exclusive human prerogative, has become the worry of those who work with the latest generation LLM systems because, as happens with men, even artificial hallucinations are increasingly consistent with reality and, therefore, difficult to identify.

Impacts of AI in creative processes

Despite the limitations that AI shows, I find these systems unquestionably useful even where large gray areas can be glimpsed linked to the fact that limits, opportunities, risks and benefits are still unclear. Whatever use is made of it, AI is already changing our way of being and thinking so much so that, as written in this article, I do not exclude the possibility of their effect also appearing on the mechanisms that govern creative processes. Writer's block is easily circumvented if you use an AI and, to those who complain about the lack of originality, I respond by saying that, as in every creation, inspiration is never the final work.

Don't use GPT because customers notice

This article was born from a joke made by a colleague at the end of a project meeting who, in a peremptory tone, said:

“Please do not use ChatGPT to write project documents because there are systems capable of revealing it and we will make a bad impression on the client”.

This joke immediately made me think back to the times of the general mathematics exam when the Professor who held the chair prohibited us from using calculators. As a young university student, I asked myself what was more important between the reasoning that leads to the calculation and the calculation itself. Today, I ask myself what is more important between the mechanism that leads to the essay and the essay.

Innovation and the evils of humanity

The use of productivity support tools has always been viewed with distrust. Bizarre as it may be, criticism of innovation ignores the nature of innovation, so much so that there was a time when even writing was criticized, which Plato, in the Phaedrus, defined as the cause of memory deterioration. No better treatment was given to the calculator, the use of which was opposed because it reduces the ability to carry out calculations in the mind, even very complex ones. Today none of us could do without writing and the use of the calculator has not only been accepted, but encouraged by the Ministry of Education which for decades has allowed its use in mathematics tests at scientific and technological high schools.

The unstoppable pace of change

The change that is triggered by the spread of each new technology is unstoppable. It was so for writing, it was so for photography and it was so for the calculator at the expense of the slide rule. No matter how much we complain, change will become everyday life. This evolutionary cycle forces us to reflect on what we are, how we perceive ourselves and what we want to be.

The importance of the right whys

AI has produced many impacts on human nature and I would like to note one of these in this article. I'm talking about an aspect that I hadn't yet taken into consideration despite it being linked to the ability to develop a concept, or an idea. I have no hesitation in considering this aspect the fuel of every analysis. I'm talking about the ability, not at all innate, to ask structured questions in such a way as to direct the interlocutor towards a concise and clear answer.

The power of well-formulated questions

A well-formulated question is a powerful tool through which you can guide an entire analysis process, allowing you to focus attention on what is really important: defining the objective of the analysis and determining which data are needed. A well-posed question can help identify any limitations or challenges that may arise during analysis, solve complex problems and build relationships. A poorly constructed question creates a dangerous trap whose effects can distance us from our exploration and end up confirming what we already know.

The relationship between the right whys and the work of an AI

The relationship between the ability to ask well-structured questions and the use of an AI is represented by the fact that AIs operate only if a request/question is given to them and the quality of the paper produced by an AI is directly linked to the quality of the question formulated. Similarly to what happens with humans, an incorrectly formulated question can also be misleading for an AI system whose fragilities can emerge through the formulation of questions that make use of specific logical constructs. A correctly structured question allows you to activate an AI on tasks for which it has not been directly trained to operate but for which it is able to formulate reliable answers because they are based on verified data (at least one hopes that they are).

Prompt engineering

Prompt engineering is the field of study in which we try to identify the best technique to choose the most appropriate formats, phrases, words and symbols in the formulation of questions that guide a generative AI to produce relevant and high-quality results. quality. The relationship that links the quality of the question to the relevance of the answer is central in every area of philosophical studies as it is for a correct interaction with an AI.

The balance of curiosity

The importance of prompt engineering leads me to think that, even in times in which knowledge can be achieved through superhuman "intelligences" (this is how the "intelligences" after "move 37" are defined), the value of knowledge remains linked to the fixed deficit between questions and answers. Having more questions than answers means having the key to knowledge since the effective operation of AI, as with that of the human brain, is closely linked to the ability to ask the right questions.

The mechanic's hammer and the originality of the essay

Continuing my reasoning and focusing on the question relating to the originality of the essay, I wonder how your opinion on the quality of this text would change if I told you that it was generated with AI support. Let me explain better by referring to the well-known anecdote of the mechanic's hammering. A guy, after having consulted numerous mechanics and spent a lot of money, goes to a mechanic who asks him to eliminate the annoying squeaking that afflicts the engine of his car. The elderly mechanic, after listening to the unfortunate sound for a few seconds, takes an old hammer and, with a firm blow, solves the problem. For the hammering, he asks for 500 euros. To the customer who did not intend to pay that amount for a hammer blow, the mechanic responded by asking if the customer would be able to do the same. I'll leave the rest of the reasoning to you as you read me. In practice, if I had ever used an AI to generate this text, its instrumental role in the creative/productive path would not be dissimilar to that assumed by the hammer in the hands of the elderly mechanic. For this reason, rather than asking myself whether or not an AI was used to carry out an activity, I prefer to ask myself what degree of mastery of the tool was achieved in its use.

AI, writing and the calculator

I think the use of AI is on par with the use of writing, the calculator and the mechanic's hammer. Their functional value is linked to the ability to make good use of them. Just as no one would ask me whether or not I used a calculator in carrying out my radio engineering tests, I hope that one day I will no longer be asked whether or not I used an AI in the process of drafting my papers because I consider these criticisms to be the result of banal neo-feudal frustrations that dwell in the Pleistocene minds of characters who want to know that they "worked hard" instead of concentrating on the quality of the work produced.

The craving for originality

To the diehards of the originality of the work, the leaders of the ultras of "it is the fruit of my sweat", the scandalized virgins of "no one here copies" I declare that I have left their side to others and without regret cultural in favor of the role of the one who tells you that Santa Claus doesn't exist. Ladies and Gentlemen, most of the professionals I have met in the last 20 years around the dozens of companies in which I have worked produce documents drawing "copiously" from what has already been produced for and/or by others. Get over it, the world is based on 3 simple keyboard keys CTRL, C and V.

Deductions

Having clarified my position regarding the use of AIs and their functional role, it remains to understand how these impact the ability to formulate questions appropriate to the expectations that are nourished on the expected paper. The potential offered by generative AI will lead people to find ways to use them in increasingly broader contexts of daily and working life. This will lead to the development of an ever-increasing ability to formulate structured questions whose nature can only derive from an effort of analysis and abstraction. In essence, as much as it may bother you, in the future no one will write thinking of doing so without the support of an AI because, in addition to sharing what is thought, a text has the purpose of disseminating content for cultural purposes.

Article source: Linkedin Article by Vincenzo Gioia

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Introduction

OpenAI continues to innovate in the field of artificial intelligence, and the ChatGPT-4o version represents a significant step forward from its predecessors. This model introduces a number of improvements and new features that expand the capabilities of AI, making it more powerful, versatile, and accessible.

Multimodality

One of the most remarkable new features of ChatGPT-4o is its multimodal capability. This model is able to simultaneously process different types of input, including text, images, audio, and video. This feature enables more natural and comprehensive interactions with AI, offering more contextualized and relevant responses.

Improved Performance

GPT-4o is designed to be faster and more efficient. Compared with previous models, it is twice as fast, with reduced response time and greater capacity to handle simultaneous requests. In addition, the model is more energy efficient, reducing resource consumption.

Speed and Efficiency

Response Time: responds in less than 300 milliseconds, ensuring fast and smooth interactions.

Request handling: ability to handle up to 10 million tokens per minute, improving the speed of information processing.

These improvements in speed and efficiency make GPT-4o an excellent option for applications that require fast and accurate responses, such as customer support services and virtual assistants.

Free accessibility

One of the most important innovations is the free accessibility of GPT-4o. This model offers free functionality that was previously reserved for paid users. This strategic move by OpenAI aims to democratize access to AI, allowing a wider audience to take advantage of the model's potential.

Features accessible for free

File analysis: users can upload and analyze text files at no additional cost.

Using GPTs sssistants: advanced features such as task management and workflow automation are now available to everyone.

The free accessibility of GPT-4o not only expands the user base, but also fosters innovation and creativity as more people can experiment with advanced AI capabilities.

Expansion of the Context Window

GPT-4o introduces an expanded 128K context window. This allows the model to maintain consistency and relevance of responses even in long and complex conversations. Increasing the context window significantly improves the model's ability to understand and respond to user queries.

Benefits of the Expanded Context Window.

Long Conversations: Greater consistency in extended interactions.

Detailed Analysis: Ability to process and understand large amounts of contextual information.

The expanded context window enables GPT-4o to provide more accurate and relevant answers, improving the overall user experience.

Web Integration and Desktop App

GPT-4o integrates Web access, allowing the model to obtain real-time information to answer user questions. In addition, OpenAI has released a desktop app for Mac (and soon for Windows), which facilitates interaction with the AI via the PC clipboard.

Using the Desktop App

Simplified interaction: users can copy text, images or other data to the clipboard and receive immediate responses.

Real-time access: ability to get up-to-date information through Web integration.

The desktop app makes GPT-4o a versatile workmate, easily integrating into users' daily workflow.

Ability to Perceive Emotions

GPT-4o also introduces the ability to sense and respond to human emotions. During demos, the model showed the ability to detect the user's emotional state, such as happiness or anxiety, and respond accordingly. For example, if the user shows signs of stress, GPT-4o can provide advice to calm down.

Examples of Emotional Interaction

Emotional support: the model can offer stress management tips or suggestions for improving emotional well-being.

Personalization of responses: adapts the tone and style of responses based on perceived emotion, enhancing the user experience.

This ability to perceive emotions makes GPT-4o a more empathetic and human virtual assistant, significantly improving user interaction.

Implications for Programmers

GPT-4o APIs are available at a reduced cost compared to GPT-4, making the use of the model more accessible for applications of various types. Increasing the token dictionary reduces processing costs and the size of context windows, improving overall efficiency.

Examples of Programmable Applications

Virtual Assistants: creation of assistants capable of handling complex conversations and offering support on a wide range of topics.

Data analytics: ability to analyze text, visual and audio data, providing more complete and accurate insights.

Generative content: leverage the advanced capabilities of GPT-4o to generate creative content, such as articles, stories, and videos, based on variable inputs.

The accessibility of GPT-4o's API allows programmers to explore new creative possibilities and develop innovative applications that take full advantage of the model's capabilities.

Conclusion

GPT-4o represents a significant step forward for OpenAI, improving not only the complexity of the model but also the usability and accessibility of AI technologies. With the implementation of advanced features and free access, GPT-4o promises to expand the use of AI beyond simple chat. The combination of speed, efficiency, and multimodal capabilities makes GPT-4o a powerful tool for a wide range of applications, from healthcare to entertainment, education to finance.

In a rapidly changing technological landscape, the accessibility of GPT-4o enables more users to experiment with and integrate AI into their daily activities. This model not only improves performance over its predecessors, but also offers new opportunities for innovation and creativity. With GPT-4o, OpenAI continues to push the boundaries of artificial intelligence, demonstrating the potential of this technology to transform the way we live and work.

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