際際滷shows by User: MichelFernandes2 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: MichelFernandes2 / Thu, 01 Nov 2018 02:51:08 GMT 際際滷Share feed for 際際滷shows by User: MichelFernandes2 Blockchain DApps /slideshow/blockchain-dapps/121362575 20181010v1-181101025108
Blockchain DApps: Construindo uma Aplica巽達o Descentralizada com Ethereum]]>

Blockchain DApps: Construindo uma Aplica巽達o Descentralizada com Ethereum]]>
Thu, 01 Nov 2018 02:51:08 GMT /slideshow/blockchain-dapps/121362575 MichelFernandes2@slideshare.net(MichelFernandes2) Blockchain DApps MichelFernandes2 Blockchain DApps: Construindo uma Aplica巽達o Descentralizada com Ethereum <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181010v1-181101025108-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Blockchain DApps: Construindo uma Aplica巽達o Descentralizada com Ethereum
Blockchain DApps from Michel Fernandes
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Blockchain Ethereum DApps https://pt.slideshare.net/slideshow/blockchain-ethereum-dapps/121353037 20181010blockchaindappswebminar-181101004645
Construindo uma aplica巽達o descentralizada com Ethereum]]>

Construindo uma aplica巽達o descentralizada com Ethereum]]>
Thu, 01 Nov 2018 00:46:45 GMT https://pt.slideshare.net/slideshow/blockchain-ethereum-dapps/121353037 MichelFernandes2@slideshare.net(MichelFernandes2) Blockchain Ethereum DApps MichelFernandes2 Construindo uma aplica巽達o descentralizada com Ethereum <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20181010blockchaindappswebminar-181101004645-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Construindo uma aplica巽達o descentralizada com Ethereum
from Michel Fernandes
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EY Aleph: Deep Learning Applied to Jurimetrics Practice /MichelFernandes2/ey-aleph-deep-learning-applied-to-jurimetrics-practice 20180611mpfv1-180621123736
The jurimetrics practice in Brazil, when exists, usually is done with local data from legal offices using data collected from its own cases maintained using time-consuming manual processes. Our approach is based on data collection of all public data (not only cases that we work) combined with our workforce of lawyers to create trained datasets in order to use in natural language processing deep learning models for attributes extraction, such as judge, lawyer, plaintiff, defendant, requests, and jurisprudence. The organization of unstructured data gathered enabled EY to deliver unprecedented analysis of litigation amounts deposits aiming to drastically reduce the provisions, besides other benefits in legal chain, especially in labor law.]]>

The jurimetrics practice in Brazil, when exists, usually is done with local data from legal offices using data collected from its own cases maintained using time-consuming manual processes. Our approach is based on data collection of all public data (not only cases that we work) combined with our workforce of lawyers to create trained datasets in order to use in natural language processing deep learning models for attributes extraction, such as judge, lawyer, plaintiff, defendant, requests, and jurisprudence. The organization of unstructured data gathered enabled EY to deliver unprecedented analysis of litigation amounts deposits aiming to drastically reduce the provisions, besides other benefits in legal chain, especially in labor law.]]>
Thu, 21 Jun 2018 12:37:36 GMT /MichelFernandes2/ey-aleph-deep-learning-applied-to-jurimetrics-practice MichelFernandes2@slideshare.net(MichelFernandes2) EY Aleph: Deep Learning Applied to Jurimetrics Practice MichelFernandes2 The jurimetrics practice in Brazil, when exists, usually is done with local data from legal offices using data collected from its own cases maintained using time-consuming manual processes. Our approach is based on data collection of all public data (not only cases that we work) combined with our workforce of lawyers to create trained datasets in order to use in natural language processing deep learning models for attributes extraction, such as judge, lawyer, plaintiff, defendant, requests, and jurisprudence. The organization of unstructured data gathered enabled EY to deliver unprecedented analysis of litigation amounts deposits aiming to drastically reduce the provisions, besides other benefits in legal chain, especially in labor law. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/20180611mpfv1-180621123736-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The jurimetrics practice in Brazil, when exists, usually is done with local data from legal offices using data collected from its own cases maintained using time-consuming manual processes. Our approach is based on data collection of all public data (not only cases that we work) combined with our workforce of lawyers to create trained datasets in order to use in natural language processing deep learning models for attributes extraction, such as judge, lawyer, plaintiff, defendant, requests, and jurisprudence. The organization of unstructured data gathered enabled EY to deliver unprecedented analysis of litigation amounts deposits aiming to drastically reduce the provisions, besides other benefits in legal chain, especially in labor law.
EY Aleph: Deep Learning Applied to Jurimetrics Practice from Michel Fernandes
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Technology Session Forum IT Expo 2014: eHealth & IoT https://pt.slideshare.net/slideshow/technology-session-forum-it-expo-2014-ehealth-iot/42087825 palestraehealthforumitexpo2014-141127045727-conversion-gate02
eHealth & IoT]]>

eHealth & IoT]]>
Thu, 27 Nov 2014 04:57:27 GMT https://pt.slideshare.net/slideshow/technology-session-forum-it-expo-2014-ehealth-iot/42087825 MichelFernandes2@slideshare.net(MichelFernandes2) Technology Session Forum IT Expo 2014: eHealth & IoT MichelFernandes2 eHealth & IoT <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/palestraehealthforumitexpo2014-141127045727-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> eHealth &amp; IoT
from Michel Fernandes
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https://cdn.slidesharecdn.com/profile-photo-MichelFernandes2-48x48.jpg?cb=1726747583 Experience over 10 years in architecture, development and project management of solutions to support operations (OSS/BSS) for telecommunications (MNO/MVNO/MVNE), technological evolution and maturity acceleration; Capex definition and management for new projects and coordination of Opex for support of network operations solutions; Multidisciplinary teams management (internal/external) for requirements gathering, process mapping, development and support of operation solutions in the subjects of Business Intelligence, Automation, Data Prediction and Applications Web/Mobile applying project management models PMI/Agile (Scrum) for software development (JIRA). Extensive knowledge in the develop... http://lattes.cnpq.br/7796374297876235 https://cdn.slidesharecdn.com/ss_thumbnails/20181010v1-181101025108-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/blockchain-dapps/121362575 Blockchain DApps https://cdn.slidesharecdn.com/ss_thumbnails/20181010blockchaindappswebminar-181101004645-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/blockchain-ethereum-dapps/121353037 Blockchain Ethereum DApps https://cdn.slidesharecdn.com/ss_thumbnails/20180611mpfv1-180621123736-thumbnail.jpg?width=320&height=320&fit=bounds MichelFernandes2/ey-aleph-deep-learning-applied-to-jurimetrics-practice EY Aleph: Deep Learnin...