{"id":16605,"date":"2016-08-10T08:30:51","date_gmt":"2016-08-10T15:30:51","guid":{"rendered":"https:\/\/blogs.technet.microsoft.com\/dataplatforminsider\/?p=16605"},"modified":"2024-01-22T22:50:33","modified_gmt":"2024-01-23T06:50:33","slug":"five-must-see-speakers-at-the-microsoft-data-science-summit","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2016\/08\/10\/five-must-see-speakers-at-the-microsoft-data-science-summit\/","title":{"rendered":"Five must-see speakers at the Microsoft Data Science Summit"},"content":{"rendered":"

The Microsoft Data Science Summit<\/a> is filled with leading thinkers in big data, machine learning, AI, and open-source technologies. Join us, and get their insights and technical expertise as they discuss real-world challenges and innovative solutions emerging across data science. Here\u2019s a sample of some of the speakers you\u2019ll see\u2014and what they\u2019ll be talking about:\n<\/p>\n

Rafal Lukawiecki, data scientist at Project Botticelli<\/h4>\n

Rafal will discuss the business opportunity of advanced analytics and the new landscape of data. He\u2019ll speak about data science in practice and the cloud-based Cortana Intelligence Suite, especially Azure Machine Learning and the pros and cons of a variety of data storage approaches.<\/p>\n

David Smith, R community lead at Microsoft<\/h4>\n

Whether it\u2019s called data science, machine learning, or predictive analytics, the combination of new data sources and statistical modeling has produced some truly revolutionary applications. Many of these applications incorporate open-source technologies and research from academic institutions.<\/p>\n

In his talk, David will share a few of the ways Microsoft is improving the lives of people around the world\u2014and in particular, people with disabilities\u2014by applying statistics, research, and open-source software in applications and devices. He\u2019ll also share how you can develop such applications yourself, using the open-source R language with Microsoft\u2019s advanced analytics products.<\/p>\n

Danielle Dean, senior data scientist lead at Microsoft<\/h4>\n

Wee Hyong Tok, senior data science manager at Microsoft<\/h4>\n

How do businesses and data scientists work together to turn raw data into intelligent action? Why do some companies drown in volumes of data, while others thrive on turning the data into golden strategic advantages?<\/p>\n

With Wee Hyong Tok and Danielle Dean, unlock the super powers that data scientists use to turn raw data into big results. This talk will draw on practical experiences from working on various exciting data science projects, such as:<\/p>\n