Delivering a successful sport-oriented technological platform

"Delivering a successful sport-oriented technological platform," emphasizes that success means achieving results, not just developing. It requires defining clear success metrics and tailoring solutions to specific audiences and contexts, especially in the sports industry, where timing and context are crucial due to fixed schedules and time-sensitive campaigns.

A case study of an Italian A-series football company illustrates the importance of understanding client requirements, both functional and non-functional, and user personas. Key activities include workshops, functional analysis, UX/UI design, feature prioritization, development, testing, and delivery.

Speech for an Official CONI (Italian National Olympics Commitee) conference day

Be My Copilot - Your AI-driven pair

This presentation, "be my copilot," explores how to effectively integrate AI tools into developer teams without sacrificing communication and individual skills, emphasizes that generative AI differs from traditional AI, and highlights both positive and negative aspects of AI-supported pair programming.

The presentation stresses that AI doesn't "think" or "feel," and that users are responsible for AI's choices.
It provides rules for team leaders and developers, focusing on training, collaboration, and skepticism towards AI suggestions. It also offers AI usage ideas, such as documentation generation, code review, and testing.

Speech created for AI Heroes

Update your AI - Super human intelligence or super artificial intelligence?

This presentation touches on the rapid advancement of AI, highlighting the shift from "AI winters" to the current boom, marked by breakthroughs like ChatGPT.

It emphasizes that AI models are evolving to think independently, raising questions about bias, environmental costs, and the future of human and artificial intelligence.

The presentation also prompts reflection on the potential for AI to enhance human intelligence or lead to unforeseen societal impacts.

AI in Business and Clinical Researches

This presentation explores the ethics and privacy concerns surrounding generative AI, particularly in business and medical research.

While generative AI offers benefits like faster processing and rapid prototyping, it also raises ethical concerns related to privacy, bias, and transparency. Ethics in AI are crucial for building trust, reputation, and ensuring legal compliance. Regulations, like the EU's AI Act, are essential to mitigate risks.

AI has enormous potential, but addressing ethical considerations is paramount to ensure its responsible use.

Sustainable and integrated AI

Generative AI has seen exponential growth, offering benefits but also raising ethical concerns.

Collaboration and responsible adoption are crucial.
Team leaders should provide training, clarify AI's role as a support tool, and foster collaboration.

Users should approach AI with skepticism, focus on improving instructions, and utilize it for repetitive tasks.

Ethical implications need to be considered for responsible AI adoption.

Stereoscopy and 3D in e-Learning

How to immerse e-Learning sessions in the 3rd dimension.