Transcript
for me an ex-colleague and a friend, and who will tell us more in depth from the point of view of AWS than AI. I leave you. Thank you very much, good morning everyone. I put myself here on purple because if I don't do the chameleon effect, I didn't know about the color, but we women have this advantage of being able to dress not necessarily in black, so today I took advantage of it. Good morning everyone. As Mauro said before, this is a very important historical moment. We are certainly at the dawn of a new era, the era of generative AI. An era of changes that often go much faster than we ourselves are able to perceive, but certainly changes that are changing in a definitive way, in large part, the way in which we work, operate, live, but above all, innovate. Data and numbers are truly surprising. Before, Mauro gave you numbers on a worldwide level. Instead, I would like to define, to give you some numbers regarding the Italian situation. This is a research that AWS commissioned last year by Strand Partners, and 30% of Italian companies are already actively using generative AI solutions in production, with an annual growth of 30%. These numbers are definitely important, but if we measure them with the European average, we see that we still have to accelerate. This is because Italian companies are obviously operating on a global market, and it is evident that outside the old continent, the use of these technologies is already decisively massive. So, if we want to remain competitive, and we will try to explain why this is a technology that helps the business and accelerates it, we must necessarily accelerate in the adoption phase of these technologies. From the same research, it is stated that 64% of companies that have these solutions in production today have reported an increase, an improvement, in productivity. 41% have already reported improvements in the so-called customer experience, in the engagement with their customers. But it is above all the last data that should make our ears tingle. Almost all of these companies have already reported an increase in revenues, and so there is an evident correlation between the use of these technologies and the acceleration of their business. So, we must understand, if we are still not doing it, what we are missing to be able to do it. As Mauro said, we have known each other for many years. This is my 31st year in IT. And I must say that every time, working for large multinational companies, I had to explain why Italy was different from all the other countries that operate within the large multinationals, especially in the enterprise world. And one of the things that helped me not to always have to defend myself, saying that we don't have large companies, that we are small, and that we sometimes have this Calimero syndrome, was to emphasize our uniqueness. What really makes Italy unique in the world is the concept of Made in Italy, but above all, the way in which we bring innovation, products and services always characterized by this element that is recognized all over the world, whether it is luxury, precision mechanics, design, or agri-food, that is the Italian genius. So, it is evident that if we think about how we have managed, with 6 million small businesses, how much this is actually the social fabric of our country today, and we think about the data I mentioned earlier, how much this technology is actually adhering to the increase in business, we should say, well, then how do we do it? If we start to think about what actually characterized the Italian business, and therefore this wonderful Made in Italy, there are three elements that we consider fundamental. The first is the tools, the tools that companies use every day, which tend to be refined and refined over decades of activities, often created by the founder and carried on by the generations. The second is certainly the experience, the experience that these businesses have gained from their foundation, and therefore this know-how that is passed on, which has obviously been enhanced by the use of mechanics and all the technologies that have so far been made available to businesses. Last but not least, of course, the ability of people, that is the so-called Italian genius. Today, in the new world, in this new era, how can all these tools and these three pillars actually benefit from this evolution? We believe that these three pillars can be unified, can come together and be connected with the lens of new technologies. Today, within the tools, the entrepreneur can certainly put the cloud. If there is one thing that the cloud has done, it is to democratize access to technology. Today, a company with thousands and thousands of employees, a company with ten employees, can access the same type of service, because with a model of pure consumption, of Pesigo, like the one we provide, the company pays for what it actually consumes and uses, and does not have to mobilize investments. Data, data are fundamental elements today for any entrepreneur to be able to make decisions, to examine the historical series of everything that the company has done over all these years of activity, in some cases even centuries, and to be able to make much more informed and much more conscious decisions. People remain central, and it is the re-skill and the continuous competence that we must pass on to these people. Mauro mentioned Shadow IT, which we all know, but Shadow IT in the world of GNI is very dangerous. So we must be able to give people, not only those of IT, knowledge and awareness of the use of these tools, so that they do not use in the company the tools that they already use and that we all use in our personal lives, and that we are therefore used to using in our homes every day. Artificial intelligence amplifies the potential, because it learns from your uniqueness, and therefore manages to make your business even more effective. It helps you to build new services, to reach your customers in a broader way, and probably also to be more precise, more predictive, to use all these experiences, these data, as elements of business accelerators. All good so far. It is a pity that most of the data officers, or people who deal with data in companies today, tell us that their data infrastructures are not so ready. From a further research that we have done, the assessment that these same operators give of their data infrastructures is, if it goes well, just enough, but many of them believe that it is not. What does this mean? It means that there is a lot of work to be done, because the data must be not only the data that I collect, but it must be classified, it must be cleaned, I must know what type of service or decision I have to issue. And so companies like, and therefore partners like EWS and Commwalt, help you because they provide you with infrastructures, services and above all layers of protection that allow you to create data lakes and data platforms through which we actually generate, insert input, but above all we generate output that is actually what we need. Then it is clear, because as I said, many things happen to data, we generate them because often we are not able to create or give our users data that is actually usable, but often there are also many things that happen from the outside and therefore go beyond what could be incidents like that, for example, involuntary cancellations. So there is human error, but there are, as Mauro said, attacks from the outside. For example, let's take a retail example, but actually what it shows us is the famous paradigm of garbage in, garbage out. If I start to insert into a data lake corrupted data, not cleaned, not classified, or in any case not well identified within the data platform that we provide to our users, all subsequent processes, all subsequent decisions that are taken through this error of imputation will only lead to a wrong output, which in this case, as Mauro said, when the agent is not a human agent, but an AI agent, which therefore must provide your customers, our customers, with wrong information, unfortunately it is not the AI that is not capable. It is the input that we give to the AI, which has not been able to provide an output. In addition, as Mauro said, it is essential that all this process that you see, which goes through big data, analytics, and all an assessment through machine learning, what can be the predictions and recommendations that, if the data were clean, could be given, for example, to do marketing campaigns or sales motions. When it is the AI agent who then has to give the final answer, we need that entity to be protected from the point of view of the permissions, of the actions, that that entity must do instead of the human operator. So, very often we, in this historical moment, we are prepared and we focus on the tip of this iceberg and we try to understand if the best model, the anthropic model, PNA and nanobanana, what should I use? Actually, I'm sorry to dismantle the castle, but the truth is that if I don't have a foundation, everything that I don't see of that iceberg prepared, starting from the infrastructure, from the data platform, from the security that must cover end-to-end every type of process, as we say, from the sovereign infrastructure to the application layer, well, we have little to discuss about what will be the fastest model. Because in the end, the output that that model will give us will not be something that we can use. And today we don't have a budget to throw away. So, that is the final part of a process that we have to rethink and we have to constantly think about. This partnership, as Mauro said, is not only a sales partnership, although being both sales, in short, we are not sorry. Because anyway, three times a day, we all keep eating. Why is it an important partnership? Because those who deal with infrastructure like us and those who provide more than 200 services in the field of security know that there is a difference between cloud security and cloud security. So there are things that we know how to do well. We are not 30, we are 19, but we have been doing this for 19 years. And so we have experience in this area. But we know that our solutions must be complemented by solutions of great players who do just that and who think and rethink continuously and who work against time because today everything we are talking about is already surpassed by what someone is making up on the other side of the world. So this agility, this speed and this scale that we have to make available to you is only possible if you are a hyperscaler who works with companies in the field of security who think exactly the same way. Because what customers are asking us today is not to compromise between innovation and security, between the ability to continuously bring news on an infrastructure that today, like EWS, boasts 39 regions around the world, but above all, respect for the rules, compliance and the requests that every single country asks us based on the industry or the sector in which we operate as an industry. I'm going to finish quickly because I'm a bit out of breath. Those who work with Amazon know the Leadership Principles. We have 16 of them. There is one that I am particularly attached to because it has supported me in these 31 years of my career. I studied law and work in an IT field and so if I hadn't learned or if I hadn't always studied or if I hadn't been curious, I probably wouldn't have ever done it. This element, I believe, and this Leadership Principle resonates particularly well today, not only in the rainy day of Shift, which is hosting us today, but above all in the historical moment in which we find ourselves operating. Because never, like today, is it necessary to study, learn, open up and know and expand this knowledge outside of IT. Only if we bring this knowledge outside of IT and we give it to our operators from all sectors of the company, we will be able to create real innovation because adoption goes beyond knowledge. So I can only wish you a great day and a great day of learning and I would like to thank Mauro and the entire CommWorld team for the invitation. Thank you very much.
