Alex Mari

Marketing professionals face increasing complexity due to the explosion of digital and data touchpoints, as well as unprecedented consumers’ expectations in terms of interaction, content, and offer personalization. They came to realize that Machine Learning (ML) is the only possible way to cope with this level of complexity. Machine learning is developing under the great promise that marketing can now be both more efficient and human . The diffusion of intelligent models can be noticed in three key areas : 1. Inside Marketing Technologies ML is powering many of the marketing software (enterprise solutions, individual tools or apps) that marketers require to turn the vast array of historical data into actionable insights. “AI algorithms and technologies are going to be deeply embedded at every layer of what the marketing software is.” - Scott Brinker, VP Platform Ecosystem at HubSpot  Figure 1. Marketing and AI Technologies dependencies Companies receive bo...

The world’s most valuable company and the second-most valuable brand doesn’t have an official social presence. A decade after the rise of social media, a significant number of ‘digital experts’ still find Apple’s indifference to social platforms puzzling, to say the least. The notoriously social-shy giant hired some of the best talents in digital last year and begun spreading corporate messages through their executives on Twitter. Apart from owning the social network Ping, the monitoring company Topsy and using the platforms LinkedIn for recruitment and YouTube  (were comments are turned off) , Apple seems to refuse joining the rush to social. Its CEO, Tim Cook, publicly stated ‘ We have no plans to be in the social networking area ’, also referring to a hypothetical competitive attack against Facebook. A few questions might have popped up in your mind. 1) Why Apple is so adverse to social media?  There are at least four good reasons why an organization like Apple d...

INTERNET & SOCIAL MEDIA FOR CORPORATE AND MARKETING COMMUNICATION (distance learning) Dates 18th October - 17th November 2011 Timetable October 18th: 6 - 7.30 pm October 25th: 6 - 7.30 pm October 26th: 6 - 7.30 pm October 27th: 6 - 7.30 pm November 2nd: 6 - 7.30 pm November 3rd: 6 - 7.30 pm November 7th: (face to face, optional in distance learning) 9am - 5pm November 8th: 6 - 7.30 pm November 9th: 6 - 7.30 pm November 10th: 6 - 7.30 pm November 15th: 6 - 7.30 pm November 16th: 6 - 7.30 pm November 17th: 6 - 7.30 pm The online sessions will be partially lectures and partly interactive, using a virtual class on a distance learning platform.There will be interaction not only between the teacher and the individual course participants, but also student-to-student and at the entire class-level.Some of the interactions will be real-time (using the distance learning platform), but there will also be asynchronous forum discussions at class level and group le...

A fronte della presenza e della partecipazione massiccia di utenti e consumatori nei social media, comunicatori, brand manager e marketer vengono riconoscendo la necessità di affrontare le co municazioni che si sviluppano attraverso la conversazione, la creazione e la condivisione in rete con prospettive metriche e gestionali nuov e. Nella pratica recente sul tema delle social media metrics l’elenco degli indicatori dedicati alle misurazioni delle performance di comunicazione e marketing è stato arricchito introducendo, per la prima volta, misure nuove e, si direbbe, insolite come: friends, followers e supporters. Insieme, dunque, alle più classiche misure di page view, impression, click-through rate e visitor, si stanno aggiungendo metriche relative al numero di amici, fan e supporter, con l’obiettivo di analizzare la dimensione e l’impatto delle attività sociali e delle influenze in rete. Si tratta di un tentativo di estendere la quantità di indici messi a disposizione di chi si occ...