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Alessandro Pinzuti

I am Alessandro Pinzuti a Software Engineer with a PhD in Computer Science, a research papers author, and a speaker… essentially a pundit on the topic of Artificial Intelligence. I work for Applied AI - Spindox SPA, an AI-based solutions delivery company, where I have the title of Data Intelligence Team Leader.

  • How LLMs can help sw development, math-modeling and forecasting
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Alessandro Romano

Alessandro is a highly experienced data scientist with a Bachelor’s degree in computer science and a Master’s in data science. He has collaborated with a variety of companies and organizations and currently holds the role of senior data scientist at logistics giant Kuehne+Nagel. Alessandro is particularly passionate about statistics and digital experimentation and has a strong track record of applying these skills to solve complex problems. He shares his knowledge regularly, speaking at events like the Data Innovation Summit and ODSC.

  • Orchestrating LLM AI Agents with CrewAI
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Christian De Simone

Christian is an AI Engineer with the MemorIA team, passionate about continuous learning and innovation. With extensive experience in developing cloud-native software using Kubernetes, he has hands-on expertise with major cloud providers such as AWS, Azure, and Scaleway. Christian is dedicated to continuous improvement, constantly refining his skills to deliver innovative, successful solutions. His work focuses on integrating AI technologies to create intelligent, scalable systems that drive impactful results.

💻 Software Development & AI Integration
🚀 Cloud-Native Solutions Development
🤖 AI-driven innovation and automation
💬 Collaborative and approachable—building strong connections with colleagues

  • Unlocking Documentation with AI-Powered Chatbots: A Real-World Case Study
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Elio Salvatore

I'm a data enthusiast with extensive experience in enterprise solutions. Currently, I work as a Senior Solutions Engineer at Couchbase, where I help businesses leverage the power of our platform to unlock new possibilities.

  • Vector Search on the Edge: Powering Mobile and IoT with AI
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Emanuele Fabbiani

Engineer, researcher, entrepreneur. Emanuele earned his PhD in AI by researching time series forecasting in the energy field. He was a guest researcher at EPFL Lausanne, and he's now the Head of AI at xtream, where he solves business problems with AI. He published 8 papers in international journals and presented and organised tracks and workshops at 20+ international conferences, including AMLD Lausanne, ODSC London, WeAreDevelopers Berlin, PyData Berlin, PyData Paris, and PyCon Florence. He lectured in Italy, Switzerland, and Poland.

  • System Design for the GenAI Era
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Enrico Zimuel

Enrico Zimuel, Tech Lead and Principal Software Engineer at Elastic. Adjunct professor of Machine Learning at University of Turin and Applied Statistics at University of Roma Tre. TEDx and international speaker in 130+ conferences. Programmer since 1996 and open source contributors of many projects. MSc in Data Analytics and BSc in Economics and Computer Science.

  • Explainable AI (XAI) and Large Language Models (LLM): an impossible pairing?
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Gianni Rosa Gallina

Gianni is a Microsoft MVP for the AI category, former Windows Embedded/Development since 2011, focused on emerging technologies, AI and Virtual/Augmented/Mixed Reality since 2013. Currently he is R&D Technical Lead in Deltatre's Innovation Lab, designing and prototyping next generation solutions for sport related experiences and services, from apps, tools and end-to-end cloud architectures. Besides that, he's an active member of the local community “Torino Technologies Group” (TTG), Pluralsight online courses author, writes articles on his blog and he's speaker in national and international tech conferences and events.

  • RAG-based AI Assistants: from demo to product, addressing real-world challenges
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Jorrik Klijnsma

Creative developer Jorrik bridges the gap between design and functionality. With 8+ years in front-end, he's now exploring AI's potential. At Sopra Steria, he builds innovative web solutions and shares his tech journey through public speaking.

  • Prompt Injection Attacks: Understanding and Mitigating Exploiting Risks in LLM-Powered Web Apps
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Kenichi Kambara

I specialize in mobile applications such as Android, iOS, etc. I have over 20 years of experience as a mobile application developer. Also, I have development experience with Smartphones, Tablets, and Wearable devices. In addition, I've been doing a lot of writing and speeches, including 16 international events such as droidcon/DevFest/Devoxx.

  • Getting Started Mobile Apps Development with Generative AI
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Leonida Gianfagna

I'm a PhD in theoretical physics, currently working as the CTO of Cyber Guru with active projects and collaborations in Machine Learning.
I'm the co-author of the book for Springer "Explainable AI with Python" published by Springer

  • Explainable AI (XAI) and Large Language Models (LLM): an impossible pairing?
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Luca Giudici

Hi, I am Luca and I have a great passion for computer science and artificial intelligence. After graduating in computer science in 2016, I embarked on an academic path at the University of Milan Bicocca, obtaining both a Bachelor's and a Master's degree in Computer Science. I currently work as a software engineer at Intrè, a consulting company that adopts Agile methodologies, where I collaborate with multidisciplinary teams to develop innovative technological solutions.

I am deeply convinced of the importance of teamwork and continuous learning, aspects that I consider fundamental in a rapidly evolving field such as AI. My skills include both frontend and backend software development and the integration or development of solutions using AI technologies.

In my spare time I love to immerse myself in reading, explore new video games and maintain an active lifestyle by playing sports.
I am excited to share my experiences and learn more about the potential of artificial intelligence through conferences and discussions.

  • Unlocking Documentation with AI-Powered Chatbots: A Real-World Case Study
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Marco Cristofanilli

Head of Artificial Intelligence, Kubernetes Enthusiast, and Team Leader @ Seeweb

💼 With 20+ years of experience in the IT industry, I have dedicated my career to advancing technology and innovation.

🎤 Over the past decade, I have been invited to speak at 50+ events on topics including Linux, open source, cloud, performance and AI.

💈 As a seasoned Solution Architect, I excel in presales engagements, collaborating with clients to understand their needs and design tailored solutions that drive business value. I have extensive experience designing, building, optimizing, monitoring, and scaling elastic and resilient infrastructures. My deep expertise in AI encompasses neural network architecture, data analysis, and ethical AI implementation.

💾 I possess strong knowledge of Kubernetes and virtualization platforms such as KVM, Xen, VMWare, OpenStack, Docker, and the broader Cloud Ecosystem. I am skilled in setting up cloud infrastructures from the ground up (Public, Private, Hybrid) and proficient in Infrastructure as Code (Terraform).

📟 I am passionate about enhancing cloud computing performance and enjoy programming in Python, Perl, Java, PHP, and Bash.

  • Your AI, your rules
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Marco De Nittis

Freelance, technology enthusiast and software development expert, fond of all the aspects of the software development process, from architecture and devops to actual coding.
He has worked as a consultant and trainer in both large enterprises and smaller companies, contributing to a wide variety of projects.
Pragmatic, eclectic and curious. Cloud, serverless, WebAssembly and AI lover, strong advocate of the Software Craftsmanship, he is lucky to have turned one of his passions into a profession.

  • Bridging the Gap: Integrating LLMs into .NET and Java Applications with Semantic Kernel
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Mauro Mariniello

After graduating with a Master's degree in Statistical Science, I delved into the world of Machine Learning, working as a Data Scientist in several application areas. I am currently involved in Radicalbit's Data Science team where he is responsible for developing ad hoc solutions for clients, integrating AI components into internal products and mentoring undergraduate students leading R&D projects during the internship in the company.

  • Monitoring AI in Production: Challenges and Open-Source Solutions
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Morgana Lalli

With a master's degree in Biomedical Engineering from Politecnico di Torino and a 2nd-level master's in Sports Engineering, I joined Deltatre's Innovation Lab in 2019, an R&D team focused on areas ranging from computer vision to ML and NLP. As a Data Scientist, my expertise lies in handling diverse data formats and pioneering exploratory analysis techniques. Recently, within the Innovation Lab, my focus includes collaborating on the exploration of RAG-based solutions to enhance our NLP capabilities.

  • RAG-based AI Assistants: from demo to product, addressing real-world challenges
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Nicolò Mazzi

Nicolò is an AI Research Expert and Tech Lead at Spindox S.p.A., where he leads and coordinates industrial and research projects in the AI field, mainly focusing on optimization and simulation.
He holds a PhD in Operations Research from the University of Padova and has 3+ years of experience as a postdoctoral researcher at the School of Mathematics, University of Edinburgh.

  • How LLMs can help sw development, math-modeling and forecasting
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Piero Savastano

Piero started in Deep Learning pure research. He wrote his first neural network from scratch at the age of 19. After a period as a researcher at La Sapienza and CNR, he provides international consulting, training, and mentoring services in the field of machine and deep learning. He spreads Artificial Intelligence awareness on YouTube and TikTok. He is the founder and maintainer of the open source project Cheshire Cat AI.

  • Your AI, your rules
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Sivan Biham

Sivan is a Machine Learning Researcher with experience in Computer Vision, Reinforcement Learning and Deep Learning among others. Currently, she is the Head of Research at Healthy.io, where she leads the algorithmic aspects of several healthcare-related products in various medical domains.
Sivan's academic background includes an M.Sc. in Computer Science from the Weizmann Institute, with a focus on Computer Vision and Deep Learning, as well as a B.Sc. in Computer Science and Neuroscience from Bar Ilan University.
She is enthusiastic about using her skills and knowledge to improve people’s health and life.
Sivan always strives to expand her knowledge and leveraging her expertise to make meaningful contributions.
Outside of work, she enjoys running and practicing yoga in her spare time.
Feel free to reach out if you’d like to connect or collaborate.

  • Bridging the SQL Skills Gap: How LLM-Based Text-to-SQL Boosts Team Productivity
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Tommaso Colombo

Tommaso is the Head of Artificial Intellingence at Spindox S.p.A. since 2021. He leads the R&D and industrial delivery in the AI domain, managing a group of 50+ professionals.
Tommaso holds a PhD in Operations Research applied to Machine Learning, through which he researched new training algorithms for Deep Neural Networks and Reinforcement Learning, also thanks to its visiting research period at Northwestern University, Chicago.

  • How LLMs can help sw development, math-modeling and forecasting
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Yuri Mariotti

Former AI startup founder (2017), scaleup employee and then digital transformation consultant, now is founder @innovazione.AI, agency focused on AI transformation through operational architecture and AI multi-agents to drive scalability gains across units, AI Expert @TAG, speaker and AI mentor @B4i

  • Beyond LLMs and Agents: The Evolution of AI-Driven Intelligent Operating Systems