18.00 Networking, pizza and drinks
👉 Gábor Pécsy (Director Of Engineering | Meltwater) - Ubiquitous AI in Media Intelligence
At Meltwater we collect, process and analyze more than 600 million documents daily to provide our customers with the insights they need to steer their business. However, handling such volume of data and providing the value add we do is not possible without the pervasive use of artificial intelligence in all layers of our software stack. In this presentation I show you the different use cases of machine learning Meltwater Media Intelligence.
👉 Ferenc Csonka (Head of Development Services, Power BI Expert | FizzCode) - A new tool for Data Translators: Automated Machine Learning in Power BI
Data translator is a new data-related role which aims to bridge the gap between business users and data scientists. They usually participate in selecting those business problems which generate the highest value when solved using AI and advanced analytics techniques and then they help data scientists understand the selected problems to create appropriate models and data science solutions. Moreover, they could interpret the results, point out model errors, present the insights from the data science solutions to business users typically via reports and dashboards, and help to put these insights into appropriate actions.
It would be a great help for data translators in their complex and diverse work if they can model and partially solve certain types of business problems before involving data scientists and based on the preliminary results they can set realistic expectations for the business users about the complete advanced analytics solutions to be delivered by data scientists. This is one of the goals with the so-called Automated Machine Learning (a.k.a. AutoML) functionality in Microsoft Power BI which ensures that a data translator could create, parameterize and apply machine learning models for typical business use cases without deep ML knowledge.
In this presentation, we will give a comprehensive overview of the Power BI AutoML technology and then we will solve some business problems using binary prediction and regression models generated by Automated Machine Learning.
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