Invited Talk: DataBench Toolbox – supporting Big Data and AI Benchmarking Dr. Arne J. Berre (Chief Scientist, SINTEF Digital), Tomás Pariente Lobo (Associate Head of AI, Data & Robotics Unit, Atos), Dr. Todor Ivanov (Senior consultant at Lead Consult) Abstract: The DataBench Toolbox offers support for big data and AI benchmarking based on existing efforts in […]
Benchmarking, measuring, and optimizing are fundamental human activities. The organizing committee is pleased to invite you to take part in Bench'20 to be held virtually on Nov 15-16, 2020. The main themes of Bench'20 are benchmarking, measuring, and optimizing Big Data, AI, Block Chain, HPC, Datacenter, IoT, Edge and other things. The Bench conference has three […]
For many years companies have been running technical benchmarks to compare the performance of different technologies and systems. This benchmarking process provides very valuable information but in many cases, it is not correlated with the impact of the solutions at business level. This was precisely the starting point of the DataBench project, funded by the […]
SAVE THE DATE for the second DataBench Virtual BenchLearning! Thursday, May 28th, h. 11:00 CET In this 1 hour session titled “Success stories on Big Data & Analytics Use Cases + DataBench Toolbox” our speakers and participants of the DataBench Project, Chiara Francalanci from Politecnico di Milano and Tomás Pariente from Atos Research and Innovation, […]
DataBench will be at ICPE 2020! Dr. Todor Ivanov (Goethe University Frankfurt, Germany & DataBench project representative) will present the paper "Tutorial on Benchmarking Big Data Analytics Systems" by Ivanov, T. and Singhal R. on April 20, 2020.
The organizing committee is pleased to invite you to take part in BenchCouncil Bench 19 to be held in Denver, Colorado, USA. The main theme of Bench 19 is benchmarking, measuring, and optimizing Big Data or AI in HPC, Datacenter, IoT, and Edge Computing.
As the only conference to exclusively bring together data insight leaders from Europe's 500 top companies, Data Insight Leaders Summit offers you the opportunity to benchmark your function with those leading the way and source practical solutions to key challenges.
Predictive Analytics World London, the leading vendor-neutral machine learning conference, is holding its tenth annual conference between October 16-17 in London, UK . Join it to hear top practitioners describe the design, deployment and business impact of their machine learning projects.
Predict is Europe’s leading data conference. It is designed to bring together thought leaders and innovators in the fields of data science, predictive analytics, artificial intelligence and technology. Predict attendees will meet innovators and founders operating at the forefront of data and technology. We trace the future trends as leading practitioners share their stories. You will have the opportunity to discuss your ideas with the people building our future.
The SBDA special session aims to explore the impact of software and big data analytics on software engineering and vice versa, serving as a forum for the exchange of ideas, solutions and experiences among researchers and practitioners from the communities of software visualization, mining software repositories, software analytics and big data systems in software engineering.
The 6th International Conference on Big Data Analysis and Data Mining (Data Mining 2019) is going to be held between July 25-26 in London, UK. The main theme of the conference is “Future Technologies for Knowledge Discoveries in Data". Data Mining 2019 is comprised of 27 tracks and 160 sub-sessions designed to address in a comprehensive way the current issues of Big Data and Data Mining.
The 2019 International Congress on Big Data (BigData Congress 2019) aims to provide an international forum that formally explores various business insights of all kinds of value-added “services.” Big Data is a key enabler of exploring business insights and economics of services.
This project has received funding from the European Horizon 2020 Programme for research, technological development and demonstration under grant agreement n° 780966
