Marketing Transformation Stage

This stage explores how AI is revolutionizing marketing, introducing new tools for automation, advanced personalization, and increasingly immersive engagement strategies. It’s an opportunity to understand how to best leverage artificial intelligence to create innovative and impactful strategies.
Note: The program is still being finalized and may be subject to changes.

Marketing Transformation

Room Hosting

Andrea Boscaro
Andrea Boscaro
Partner
The Vortex
26 feb 11:40 - 12:20
40 min
Discover how to revolutionizing AI for marketing by creating a human-like memory system. Learn about groundbreaking neocortex-inspired architecture that allows AI to maintain consistent brand messaging and adapt to complex marketing concepts. We'll showcase how Fortune 500 brands are using our ontology-driven learning and graph-based retrieval systems to achieve success in personalized marketing campaigns. We will review some elements of the ethical AI frameworks required for compliance while boosting engagement.
26 feb 12:30 - 13:10
40 min
Generative Artificial Intelligence platforms, with their unique features, are well-suited to support the analysis of a target national market by gathering data and information, identifying counterparts, and assisting in contact activities with insights related to argumentation strategies. On a strategic level, these platforms can provide export managers and entrepreneurs with valuable elements to refine their assessments of the opportunity to enter an international market, offering useful suggestions to evaluate its maturity and competitiveness. This session aims to explore the practical use of the main tools, highlighting their limitations and possible alternatives.
26 feb 14:10 - 14:50
40 min
Retrieval-augmented generation (RAG) aims at enhancing the caliber of responses generated by Large Language Models (LLMs). Beyond the information natively stored in the folds of the model, RAG connects the LLM to external sources of knowledge to augment the depth and quality of responses. RAG is the umbrella term under which most customer requests related to AI/LLM will ultimately fall: creating flavors of copilots for their own data. Creating tailormade clones of ChatGPT can be relatively easy if it only has to query an existing API, website, or even a collection of flat PDF files. However, in real-world scenarios, basic RAG tools are not sufficient: we'll explore advanced aspects such as loading business-specific data, the internal organization of data (chunking, document hierarchies, multi-level indexing), knowledge graphs, text-to-SQL, and query augmentation techniques. A critical aspect of these solutions involves addressing privacy and security challenges. This includes ensuring secure data ingestion pipelines, anonymizing sensitive information, and implementing mechanisms to prevent data leaks and injection attacks.
26 feb 15:00 - 15:40
40 min
Bringing artificial intelligence from the lab to real-world marketing requires a clear vision and a well-defined strategy. The starting point lies in customer and user data—an invaluable yet often underestimated resource with transformative potential. In this session, we will systematically explore significant use cases across various industries and marketing objectives, analyzing algorithms, best practices, data, and enabling technologies. We will uncover how to turn ideas on paper into operational realities, maximizing the opportunities offered by current technologies while keeping in mind compliance and regulatory constraints.
26 feb 15:50 - 16:10
20 min
How can Gen AI support a sports organization, such as a professional league, in rapidly generating massive amounts of diverse content, thereby enhancing fan engagement and driving new revenue streams?
26 feb 16:10 - 16:30
20 min