L’ Agenda des Décideurs

 

mydigitalweek-clock

 

Oct
21
lun
2019
#MARKETING – Digiday Publishing Summit Europe – By DIGIDAY UK @ Apáczai Csere János u.
Oct 21 @ 13:30 – Oct 23 @ 12:00

logo DigidayDigiday Publishing Summit Europe

 

Publishers are having to become adept at balancing an ever-increasing list of monetization strategies. Balancing advertising versus subscriptions, figuring out audience models, seeking out new revenue streams, while keeping employees happy, are all consistent pressures. All against an advertising landscape that continues to transform.

At the Digiday Publishing Summit Europe, we’ll discuss how publishers are keeping on top of these pressures, including how alliances are working out, new ways to drive subscription revenue and on-site monetization.

TEMPS FORTS

Le programme complet içi

Mai
18
mar
2021
#MARKETING – Data & Analytics Summit – By GARTNER
Mai 18 @ 10:00 – Mai 20 @ 15:00

 Data & Analytics Summit

 

Faced with a constantly evolving business landscape and unprecedented levels of uncertainty, it’s more vital than ever that data and analytics leaders such as the chief data officer and chief analytics officer (CDO and CAO) forge new paths to enable a data-and-analytics-centric culture within their organizations. Data and analytics leaders must be able to tie data and analytics strategy to business outcomes and promote the adoption of technologies, such as artificial intelligence (AI), while creating a resilient culture that accelerates change, and where data literacy, digital trust, governance and data-driven critical thinking are pervasive. The virtual Gartner Data & Analytics Summit offers content for every member of your data and analytics team — from technical- to senior-level strategy. Join data and analytics leaders to gain the skills to build and execute a world-class strategy.

HIGHLIGHTS

  • The Key to D&A Success
  • The Foundation of an Effective Data and Analytics Operating Model
  • Business Strategy and Outcomes: Accelerate the Value
  • Trust, Governance and Privacy: An Urgent Imperative
  • Analytics Everywhere: Drive Pervasive Outcomes
  • Data Architecture: Effective Data Design
  • AI, Data Science and Machine Learning: The Future is Now