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Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)The preceding blog (part 1) highlighted the challenges posed by historical data, encompassing limitations related to data...
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)Artificial intelligence (AI) has revolutionized the field of financial trading and investment. AI models can analyze...
M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer
The creation of the first holistic dataset of a tier-0 Top10 supercomputer which will serve also to Graph-Massivizer projectWe are pleased to announce the publication of a new paper by our esteemed partners at University of Bologna, which showcases the valuable...
PRESS RELEASE: Graph-Massivizer promotes climate-neutral and sustainable economic sectors boosted by graph data processing
The Graph-Massivizer project consortium is happy to announce the official start of this European initiative, funded by the European Commission under the Horizon Europe research and innovation programme. Graph-Massivizer aims at delivering open-source and commercial...
DataCloud and Graph Massivizer projects working towards
DataCloud and Graph Massivizer projects working towards increasing service success on the computing continuum Modern Bigdata pipelines raise critical challenges for Cloud data centers to meet their resource demands with low latency. Consequently, the computing...
News
Blog
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 2)The preceding blog (part 1) highlighted the challenges posed by historical data, encompassing limitations related to data...
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)
Why Current Financial Historic Data is Neither Enough nor Truly Useful for Testing Financial Trading and Investment Models in the AI Era (part 1)Artificial intelligence (AI) has revolutionized the field of financial trading and investment. AI models can analyze...
M100 ExaData: a data collection campaign on the CINECA’s Marconi100 Tier-0 supercomputer
The creation of the first holistic dataset of a tier-0 Top10 supercomputer which will serve also to Graph-Massivizer projectWe are pleased to announce the publication of a new paper by our esteemed partners at University of Bologna, which showcases the valuable...
PRESS RELEASE: Graph-Massivizer promotes climate-neutral and sustainable economic sectors boosted by graph data processing
The Graph-Massivizer project consortium is happy to announce the official start of this European initiative, funded by the European Commission under the Horizon Europe research and innovation programme. Graph-Massivizer aims at delivering open-source and commercial...
DataCloud and Graph Massivizer projects working towards
DataCloud and Graph Massivizer projects working towards increasing service success on the computing continuum Modern Bigdata pipelines raise critical challenges for Cloud data centers to meet their resource demands with low latency. Consequently, the computing...
