AI Marketing & Plenary

Over the past few years, rapid advances have created a new type of Artificial Intelligence: Generative AI. Generative AI produces novel text, images, music, and soHware by analyzing enormous collections of digitized material. Generative AI will change the way we live, work, play, express ourselves, persuade each other, seek a mate, educate our young, and care for our elderly. It will also upend our labor markets, reshuffle the social order, and strain both private and public institutions. This talk will explain how this new technology works and how it will impact human society

We often hear about responsible innovation, but what does that actually mean in practice? On a broad level, it means three things when you innovate: you want to respect the rule of law, do no harm, and you want it to do good. When we talk about innovating with powerful AI technologies, these concepts are often related to data privacy, and protection, ethics and bias, as well as the digital divide in making use of these technologies. We all know that economies and societies can benefits massively from AI when used responsibly. However, balancing the act of working responsibly while harnessing tech requires new ways of thinking and working. One of such emerging paradigm shifts is driven by Synthetic Data. In this talk Shalini will introduce how synthetic data is already changing the way companies are thinking about responsible innovation with a focus on privacy preservation, data quality and ethics, eliminating data scarcity and cutting costs in utilizing AI.

In the last century, the laws of quantum mechanics were discovered. Their application gave rise to what we now call the "first quantum revolution," which has given humanity technologies such as lasers, transistors, and GPS. Today, we are on the brink of a "second quantum revolution": in particular, new computers are emerging that are capable of harnessing these laws to increase their computing power. In this talk, we will discuss the evolution of quantum computers.

Quantum computers represent a fundamentally new paradigm for information processing. In the not-too-distant future, they could play an essential role in tackling problems of great interest to all of humanity in fields such as cybersecurity, materials science, pharmaceuticals, machine learning, and optimization.

How should marketing departments and agencies structure themselves in the near future? What can we expect in the coming months? Without a crystal ball, 20 minutes of insights and considerations to try to surf yet another big wave and continue to drive change for the companies we work for

As AI capabilities accelerate, with almost daily breakthroughs, we must face profound implications to humanity's future. Many experts worry about existential risks, but even contructive, hopeful futures could tansform the trajectory of human evolution. AI, bioscience, information sciences, intertwine with the potential for merging our very biology with artificial intelligence so that we may become a self-redesigning super being, changing humanity forever. Drawing on his extensive research in the fields of robotics, artificial intelligence, and cognitive science, Dr. Hanson discusses the current state of AI and its potential to transform our world in ways that were previously unimaginable. He argues that the convergence of human and machine intelligence may be both inevitable and the only solution to anthropogenic existential risks. As we converge with our AI, we may grow into a spiralling, self-reinventing asymptote of superbenificial superintelligence, wherein the resulting entity may be capable of transcending reality as we know it, opening up new frontiers of possibility and pushing the boundaries of what it means to be human. Join Dr. Hanson's talk for a fascinating glimpse into the future of humanity and the profound changes that may just beginning to unfold.

Embark on a journey of discovery with the advent of new prompt-driven AI - your ultimate guide and companion. Imagine the possibilities - Automated administration, incredible new immersive narrative experiences, robots that fold laundry at your command, and even neural networks in a bucket of water. With the revolutionary implications of AI in many sectors of our economy, we are presented with both challenges and unparalleled opportunities. Join the conversation as we navigate the uncharted waters of our respective disciplines and discover the beauty of making the complex simple through AI.

We are entering the new inflationary era of generative artificial intelligence. From machine-generated text to synthetic images to autonomous agents, the cultural and strategic horizon opened up by the development of artificial intelligence is now generative in nature (no longer just extractive and predictive). This is an epochal, not episodic, shift in our civilization towards new paradigms of production, organization, and communication. We will explore these new "uncanny" (both sexy and risky) valleys between philosophy, engineering, economics, and the world.

Today's machine learning algorithms process data and handle information radically differently from the human mind: this difference is not a weakness, but the reason for the success of these technologies. Advanced algorithms have not learned to become intelligent, but to do something else that humans do on the basis of intelligence: they have learned to participate in communication, as Esposito explains in his book "Artificial Communication" (Bocconi University Press).

Today, your small business has the potential to achieve unprecedented results with a limited amount of resources thanks to the vast amount of data available along with the rise of intelligent machines… From launching successful products that meet your customers' needs to generating leads on autopilot, streamlining your customer service and creating smart marketing campaigns.  The benefits of artificial intelligence for business are widely debated. However, the way to implement such tools and measure their efficiency remains often perceived by many small business owners as an unsurmountable and complex process.  Join this session and I will share with you our step-by-step approach to start leveraging AI in your small business. We will explore the 'dos and don'ts' while deploying an AI strategy in your organization and how to measure its effectiveness.

In language models such as ChatGPT and GPT-4 a very interesting phenomenon occurs: hallucination, i.e. the tendency to generate incorrect statements. In this talk we will explore this fascinating topic and find out how to mitigate hallucinations using effective 'fact-checking' mechanisms and increase the reliability of AI.

The discussion on generative AI continues to be 'hot' and we are inundated with a constant stream of novelties that change scenarios rapidly and profoundly. On the one hand millions of users who are 'playing' with ChatGPT unaware of the nature of the tool, on the other solutions that can transform companies and the scientific world. What will we need to manage the ever-increasing potential of these means, but also the risks involved? We are going on a journey that aims to increase awareness and understanding of all this.

How is our country preparing to deal with climate change? How do we manage the huge amount of weather and climate data collected through a wide variety of tools (sensor satellites, monitoring instruments)? What answers do science and technology enable to the needs of planning and prevention during weather warnings and extreme weather events? Why is it important to effectively communicate the climate crisis? During the workshop we will look at the alliance between weather and technology, an increasingly cross-cutting issue between research, PA and institutions, citizens and businesses.

The developments of the last few months are showing a trend that has been predicted for a while but is about to explode: few ecommerce companies are ready for the AI Transformation, and they will be in big trouble as soon as AI Native E-commerce arrives.Find out what you need to make e-commerce ready for the challenges of the coming years.

It was reported in newspapers all over the world. Artificial intelligence has brought Padre Pio back to life with a chat where you can ask him questions and pray together. Of course, it's not really Padre Pio, but a very special form of artificial intelligence and its encounter with delicate and human themes such as prayer, faith, and religion. However, what makes this case interesting is the secret behind its success, which is something that concerns any digital or AI project that you will undertake. Because it was not a miracle, but rather specific choices that were made. Do you want to find out what they are? Join the discussion.

Perché i manager delle aziende non possono arrivare tardi all’appuntamento con l’AI nel mondo dell’Advertising Online

What does "autonomous driving" mean? What does artificial intelligence have to do with the concepts of autonomous driving and smart cities? (Yes, the two themes are closely related.) Hundreds of articles, videos, and TV programs explain how an AI can drive your car, but no one explains whether it makes sense for an AI to drive your car! Obviously, there is no simple answer. Designing a car is a truly complex process, and a small error can cause accidents and deaths. If you think about it, AI is not really the technology you want behind the wheel! Several times, throughout my career, I have been asked, "But would you get in that car?" Well, I have given myself the answer, but I don't know if you want to hear it...

In this talk, we will explore how companies can harness the power of large language models to generate personalized and high-quality content based on their corporate knowledge base. The presentation will provide an in-depth analysis of the techniques, methodologies, and challenges involved in using cutting-edge artificial intelligence technologies to create effective and engaging content. During the session, we will cover the following topics: Introduction to large language models and their potential for content generation. Illustration of the differences between current models and models available just a few years ago, and how these improvements translate into real-world impact for businesses. Techniques for training and customizing large language models based on a company's specific knowledge base. Strategies for ensuring relevant and accurate content that reflects the company's identity and values. Approaches for effectively integrating large language models into existing content creation and management processes. Analysis of the ethical and legal challenges that arise from using these models and how to address them responsibly.

We’re lucky to live in an era where we can all supercharge our businesses with the power of AI. However, onboarding generative AI, chatbots and robotics and other such solutions into your business brings a fresh set of challenges.  In this session we will explore a list of best practices that Johan gathered through his recent projects of building and deploying AI solutions.  If you are looking for practical tips and tricks for incorporating AI in your business then this is the session for you.

According to Gartner, by 2025, companies that use AI-based algorithms for marketing will shift 75% of their staff from operational tasks to strategic activities, automating a significant portion of their production. The keywords will be AI-first, loyalty, and personalization, with a focus on acquiring first-party data and creating engaging, hyper-personalized experiences using generative AI tools. During this session, we will explore common use cases of AI and machine learning, potential applications in the near future, and how to adopt an AI-first marketing approach. We will discuss the necessary steps and skills to maximize the benefits of AI-based tools both now and in the future.

How do you get started with artificial intelligence? The short answer is quick-win pilot projects with narrowly defined use cases and high probabilities of success. That's how you build executive support for the longer-term vision and transformation.  Hundreds of activities that marketers perform every day will be intelligently automated to some degree in the near future. Discover a practical framework to piloting AI that makes it approachable and actionable for marketers at all levels.

AI algorithms often operate as "black boxes" that take input and provide output with no way to understand their inner workings. The goal of explainable AI is to make the rationale behind the output of an algorithm understandable by humans. I will talk about how machine learning model results can be interpreted and explained. The discussion will be around methods used for explanation e.g. SHAP values etc. and how to interpret them. This will cover the working of the model explanations along with a short demo.

What would happen if we asked an Artificial Intelligence to think of a future without war, starting from the words of Gino Strada? A meeting to deepen the ethical dilemmas, reflections, and work behind the latest campaign of EMERGENCY and Ogilvy created to stimulate debate on the urgent need to build a world without war.