UX Talk: UX, Data & Artificial Intelligence

24 Marzo 2017
Yoroom, Milano

Alcuni dei migliori professionisti del mondo della progettazione digitale si sono confrontati sulle implicazioni professionali della disciplina e sul suo impatto tra gli addetti ai lavori sia a livello organizzativo che progettuale.

Ospiti Elena Sara Cagnoni e Gigliana Orlandi (Whirlpool), Simone Di Somma (Innaas), Francesca A. Lisi (Università degli Studi di Bari + AI*IA), Guido Vetere (Cervelli nella vasca).

A moderare l’incontro Paolo Ciuccarelli (DensityDesign + Politecnico di Milano).

Organizzato dal Corso di Alta Formazione in User Experience Design.


UX Talk: UX, Data & Artificial Intelligence

The intersection of user experience (UX), data, and artificial intelligence (AI) is a hot topic in the tech industry. This talk will delve into the ways in which these three elements are becoming increasingly interconnected and how they can be leveraged to create more intuitive, seamless, and personalized user experiences.

The world of UX is constantly evolving, with new technologies and methodologies emerging to help create user interfaces that are not only visually appealing but are also intuitive and user-friendly. Data plays a crucial role in this process, as it provides insights into user behavior, preferences, and pain points, which can then be used to inform the design and development of digital products.

Artificial intelligence has the potential to take UX to the next level by enabling more personalized and adaptive experiences. With the power of AI, digital products can learn from user interactions and make real-time adjustments to optimize the user experience. This can lead to greater user satisfaction, increased engagement, and ultimately, better business outcomes.

During this talk, we will explore the ways in which AI is already being used to enhance UX, such as through personalized recommendations, predictive analytics, and natural language processing. We will also discuss the potential future applications of AI in UX, including the use of machine learning to create even more immersive and interactive experiences.

Attendees can expect to gain a deeper understanding of how UX, data, and AI are interconnected and how they can work together to create more impactful digital experiences. Whether you are a designer, developer, product manager, or business stakeholder, this talk will provide valuable insights into the evolving landscape of UX and the role that data and AI play in shaping the future of user experiences.

Business Use Case: AI and Data Normalization

One business use case for AI and data normalization involves the development of a customer relationship management (CRM) system for a large retail company. The company has a vast amount of customer data, including purchase history, preferences, and interactions with the brand. However, the data is stored in various different formats and systems, making it difficult to gain a comprehensive view of each customer.

By leveraging AI and data normalization techniques, the retail company can create a unified and standardized view of customer data. This involves using AI algorithms to identify and reconcile duplicate or inconsistent data, such as misspelled names or inconsistent address formats. This process helps to ensure that the data is accurate, complete, and consistent, which is crucial for making informed business decisions and providing personalized customer experiences.

Furthermore, the AI-powered data normalization process can help to identify patterns and correlations within the customer data that would have been difficult to uncover manually. This can lead to valuable insights regarding customer behavior, preferences, and purchasing habits, which can then be used to inform marketing strategies, product recommendations, and customer service initiatives.

In this use case, the combination of AI and data normalization enables the retail company to unlock the full potential of their customer data, leading to more effective marketing campaigns, improved customer satisfaction, and ultimately, increased sales and revenue. This demonstrates how AI and data normalization can be powerful tools for businesses looking to leverage their data assets for strategic advantage.

Overall, the integration of AI and data normalization can provide significant benefits for businesses, including improved data accuracy, insights discovery, and enhanced decision-making capabilities. As the technology continues to evolve, the potential applications of AI and data normalization in business are vast, and companies that are able to harness these capabilities effectively will have a competitive edge in the digital economy.

Posted by POLI.design on 2017-06-12 11:17:20

Tagged: , POLI.design , Yoroom , Milano , Professionisti , Progettazione , Digitale , User , Experience , Design , Designer , UXD , USer Experience , Interface , UX , Whirlpool , Innaas , Università , UX Talk , Talk , Incontro , Studenti , DensityDesign , Politecnico , Politecnico Milano , Paolo Ciuccarelli , Data , Artificial Intelligence , AI