MACHINE LEARNING WEEK EUROPE

June 14-18, 2021 | USA

2020, year of the corona crisis, made it clear: data & analytics are key drivers for the future. Not only in healthcare, where deep learning helped to detect corona infections and machine learning predicted the spread of the infections, but also in industry and business: predictive analytics enabled companies to secure the supply chain of essential goods or to identify new buying behaviour quicker than ever before.

Spotlight

Apache Hadoop is an open source software project that enables distributed processing of large structured, semi-structured and unstructured data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a high degree of fault tolerance. With Hadoop, organizations can run large-scale, distributed analytics jobs on clusters of cost-effective server hardware. This infrastructure uses the Hadoop MapReduce framework to tackle large data sets by breaking up the data across many nodes and coordinating data processing across a massively parallel environment.


OTHER PAST CONFERENCES

The Future of Data Analytics

September 13, 2022 | USA

There is no doubt that Chief Data Officers (CDOs) have an extraordinary opportunity to utilize their organizations’ enterprise data assets, enable data-driven decision-making and implement digital transformation at scale — all of which are highly needed, especially in the post-pandemic period. In demand, CDOs are in a highly strategic, visionary role to unlock the power of their organizations’ data for AI-infused applications and long-term autonomous enterprise efforts. While the first generation of CDOs was mostly about defense-driven, risk-mitigating endeavors, with an emphasis on data governance, the next generation is about building an enterprise-wide data platform to bring business value out of data.

Disney Data & Analytics Conference

August 15-17, 2022 | USA

Gain knowledge, get inspired, and experience a unique conference that brings data and analytics to life as only Disney can. The Disney Data & Analytics Conference (DDAC) has a rich history of delivering exceptional content focused on data and analytics to business professionals of all backgrounds. From engaging breakout sessions to interactive networking opportunities, we’re confident you’ll see examples of how data-based, analytical decisions work in all areas of business.

Data Privacy

September 14, 2022 | USA

Data Privacy has become an increasingly pressing concern for individuals in the USA and globally these past few years, as digital technologies have proliferated throughout our lives while numerous, sometimes wide-scale, cases of data breaches and misuses have continued to make the headlines. The huge socio-economic benefits of these technologies are however manyfold, and it is therefore essential that regulation does not impede the endless opportunities they can deliver. Trust, transparency, and accountability are central to the discussions being held around data privacy in the US and will be the core themes of Forum Global’s 4th Annual Data Privacy Conference USA.

17th International Conference on Machine Learning and Data Mining MLDM 2022

July 16-21, 2022 | USA

The aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome.

Spotlight

Apache Hadoop is an open source software project that enables distributed processing of large structured, semi-structured and unstructured data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a high degree of fault tolerance. With Hadoop, organizations can run large-scale, distributed analytics jobs on clusters of cost-effective server hardware. This infrastructure uses the Hadoop MapReduce framework to tackle large data sets by breaking up the data across many nodes and coordinating data processing across a massively parallel environment.

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