D1.1 Industry Requirements with benchmark metrics and KPIs

The DataBench project aims to bridge the gap between technical and business benchmarking of Big Data and Analytics applications. The requirements discussed in this report are the result of the […] 
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DataBench project finishes its first year of activity with successful results

The DataBench project addresses a significant gap in the current benchmarking community’s activities, by providing certifiable benchmarks and evaluation schemes of Big Data technologies performance of high business impact and […] 
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Highlights from ICT 2018

 ICT 2018 took place in Vienna on 4-6 December 2018. This research and innovation event focused on the European Union’s priorities in the digital transformation of society and industry and […] 
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Invited talks at IEEE Big Data conference 2018

Excellent news to share! DataBench will be present at Bench 2018 and BPOD 2018 during the upcoming IEEE Big Data conference 2018 in Seattle (10-13 December) with two invited talks. Arne […] 
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DataBench @ ICT 2018: Meet us at the BDV PPP village

DataBench will be at the Big Data Value PPP village at ICT 2018 between 4-6 December! The Big Data Value PPP is a partnership between the European Comission and the Big […] 
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DataBench @ ICT 2018: Impacts of data-driven AI in business sectors

On December 5 DataBench will be involved in the networking session “Impacts of data-driven AI in business sectors” (h. 10:00-10:45, room L4) organized by the Big Data Value and Robotics […] 
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ETP4HPC and BDVA-PPP joint position statement “The Technology Stacks of High Performance Computing and Big Data Computing: What they can learn from each other”

As HPC and Big Data increasingly converge, ETP4HPC and BDVA-PPP  regularly collaborate to align their roadmaps. Most recently, they jointly produced a white paper: The Technology Stacks of High Performance Computing and […] 
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BDVA position statement on data-driven AI

Artificial Intelligence (AI) has a tremendous potential to benefit European citizens, economy and society, and already demonstrated its potential to generate value in various applications and domains. From an industrial […] 
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