Artificial Inteligence Big Data Events Learning 
mjvinnovation
APRIL 26, 2019
Created by Tony Stark, the android is such an advanced artificial intelligence that it has awakened self-consciousness in the events of Avengers: the Age of Ultron. In our Data Science universe, it represents Machine Learning. Machine learning is nothing more than a model of data analysis.
etventure
DECEMBER 7, 2018
At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. This year etventure was also part of the event, represented by Principal Marc Weimer-Hablitzel. Data Thinking: Impact first, Data second.
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etventure
JULY 24, 2019
Big Data, Artificial Intelligence – terms that have dominated the business world for quite some time and which, among other things, provide a large mass of data that not everyone knows how to deal with properly. In this way, human and artificial intelligence can be effectively combined.
Acuvate
JANUARY 29, 2019
Companies like Danone leveraged machine learning enabled trade promotion forecasting tools and witnessed a reduction of 30% in lost sales. Machine learning offers the added boost to enhance the accuracy of forecasting. Learn more: Business Intelligence Chatbots. 3) Big Data Integration.
Acuvate
FEBRUARY 21, 2022
Amidst the global downturn of events, industries across the entire business spectrum turned to digital technologies to survive the blow, rewrite their operating landscape, and build an agile infrastructure. Leveraging AI, Big Data, IoT, and Analytics to boost data-driven decision-making.
etventure
AUGUST 4, 2020
Deep Learning) require access to huge amounts of data to reach their full potential. Many countries globally have recognized that the handling and processing of these large data sets depend heavily on the agile innovation engines of our economies – the startups.
Jeffrey Phillips
MAY 31, 2019
But the computer may lack the intelligence to also understand the shape and size of the children in the bus (small kids - heading to kindergarten, large kids - heading to high school) or the context (empty bus leaving school, full bus arriving at school). None of these things can be accomplished without data.
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