Google, the giant with the map used by one billion people a day.

Where business professionals discuss big database and data management.
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Abdur14
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Google, the giant with the map used by one billion people a day.

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According to Nicola Dalmazzo , Head of Southern Europe for Google Maps Platform , the brand's mission has been to collect and organize information to “ recreate the world in a digital way .” “ We have invested in information management and in a platform where we are now in the mobility sector . We have the mission of solving the lives of people and brands that use our products.”

So, the moderator asks, what is Google doing in the world of mobility ?

“ The Google Maps platform offered APIs to validate addresses and improve data, among other solutions, but 5 years ago we started working with innovative companies such as Uber, DHL, or Deliveroo to transform their operations in areas related to navigation, route optimization, and traffic updates, which are key to the competitiveness of their united kingdom number data businesses. Data, infrastructure, UX/UI, and partners are the core of our unique value proposition ,” said Dalmazzo.

The awakening of AI: Transforming eCommerce logistics
Marc Gittler, VP Data Analytics at Deutsche Post DHL Group; Andreas Thoeni , Executive VP, Group Strategy, Digital and Innovation at Austrian Post; Rasmus Boysen Haaning , Managing Director at DSV and Phil Hamilton, Co-founder and CEO of Countercheck discuss the future of ecommerce operations in the era of AI adoption in the sector.

The results show a wide use of learning models (ML) used for predicting cargo volumes, traffic times, and to support customer service tasks. In turn, analyzing market information with LLM models is another perspective to find fraud and prevent losses for carriers. One of the last uses mentioned has to do with the automation of repetitive tasks such as billing management, delivery note processing, and/or other administrative tasks that under the execution of an AI and the supervision of a human reflect significant reductions in task times.
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