�ݺ�ߣshows by User: Dataconomy

�ݺ�ߣshows by User: Dataconomy / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Dataconomy / Wed, 25 Sep 2019 21:12:27 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Dataconomy Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David Andrianavalontsalama /Dataconomy/data-natives-paris-v-100-blockchain-in-healthcare-lea-dias-david-andrianavalontsalama datanativesparis2019-09-2513h11-190925211227
A blockchain-based digital platform bringing trusted traceability to the pharmaceutical, medical devices and healthcare sectors. ]]>
A blockchain-based digital platform bringing trusted traceability to the pharmaceutical, medical devices and healthcare sectors. ]]> Wed, 25 Sep 2019 21:12:27 GMT /Dataconomy/data-natives-paris-v-100-blockchain-in-healthcare-lea-dias-david-andrianavalontsalama Dataconomy@slideshare.net(Dataconomy) Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David Andrianavalontsalama Dataconomy A blockchain-based digital platform bringing trusted traceability to the pharmaceutical, medical devices and healthcare sectors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datanativesparis2019-09-2513h11-190925211227-thumbnail.jpg?width=120&height=120&fit=bounds" /> A blockchain-based digital platform bringing trusted traceability to the pharmaceutical, medical devices and healthcare sectors.

Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David Andrianavalontsalama from Dataconomy Media

]]> 858 3 https://cdn.slidesharecdn.com/ss_thumbnails/datanativesparis2019-09-2513h11-190925211227-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner /slideshow/data-natives-frankfurt-v-110-competitive-advantages-with-knowledge-graphs-and-graph-technology-axel-morgner/175700480 competitiveadvantageswithknowledgegraphsandgraphtechnology-190924213939
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies. ]]>
The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies. ]]> Tue, 24 Sep 2019 21:39:39 GMT /slideshow/data-natives-frankfurt-v-110-competitive-advantages-with-knowledge-graphs-and-graph-technology-axel-morgner/175700480 Dataconomy@slideshare.net(Dataconomy) Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner Dataconomy The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/competitiveadvantageswithknowledgegraphsandgraphtechnology-190924213939-thumbnail.jpg?width=120&height=120&fit=bounds" /> The challenges of increasing complexity of organizations, companies and projects are obvious and omnipresent. Everywhere there are connections and dependencies that are often not adequately managed or not considered at all because of a lack of technology or expertise to uncover and leverage the relationships in data and information. In his presentation, Axel Morgner talks about graph technology and knowledge graphs as indispensable building blocks for successful companies.

Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs and graph technology" - Axel Morgner from Dataconomy Media

]]> 453 1 https://cdn.slidesharecdn.com/ss_thumbnails/competitiveadvantageswithknowledgegraphsandgraphtechnology-190924213939-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & algorithms?" - Sam Liban /slideshow/data-natives-frankfurt-v-110-can-we-be-made-responsible-for-misuse-of-data-algorithms-sam-liban/175699852 datanatives2019-09-24-190924213626
"Can we be made responsible for misuse of data & algorithms?" ]]>
"Can we be made responsible for misuse of data & algorithms?" ]]> Tue, 24 Sep 2019 21:36:26 GMT /slideshow/data-natives-frankfurt-v-110-can-we-be-made-responsible-for-misuse-of-data-algorithms-sam-liban/175699852 Dataconomy@slideshare.net(Dataconomy) Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & algorithms?" - Sam Liban Dataconomy "Can we be made responsible for misuse of data & algorithms?" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datanatives2019-09-24-190924213626-thumbnail.jpg?width=120&height=120&fit=bounds" /> "Can we be made responsible for misuse of data & algorithms?"

Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & algorithms?" - Sam Liban from Dataconomy Media

]]> 194 1 https://cdn.slidesharecdn.com/ss_thumbnails/datanatives2019-09-24-190924213626-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data Management and Machine Learning" - Bjorn Staender /slideshow/data-natives-munich-v-120-how-to-be-more-productive-with-autonomous-data-management-and-machine-learning-bjorn-staender/175118468 pdf-oracle-how-to-be-more-productive-adb-ml-190923143100
Every day we are challenged with more data, more use cases and an ever increasing demand for analytics. In this talk Bjorn will explain how autonomous data management and machine learning help innovators to more productive and give examples how to deliver new data driven projects with less risk at lower costs. ]]>
Every day we are challenged with more data, more use cases and an ever increasing demand for analytics. In this talk Bjorn will explain how autonomous data management and machine learning help innovators to more productive and give examples how to deliver new data driven projects with less risk at lower costs. ]]> Mon, 23 Sep 2019 14:31:00 GMT /slideshow/data-natives-munich-v-120-how-to-be-more-productive-with-autonomous-data-management-and-machine-learning-bjorn-staender/175118468 Dataconomy@slideshare.net(Dataconomy) Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data Management and Machine Learning" - Bjorn Staender Dataconomy Every day we are challenged with more data, more use cases and an ever increasing demand for analytics. In this talk Bjorn will explain how autonomous data management and machine learning help innovators to more productive and give examples how to deliver new data driven projects with less risk at lower costs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pdf-oracle-how-to-be-more-productive-adb-ml-190923143100-thumbnail.jpg?width=120&height=120&fit=bounds" /> Every day we are challenged with more data, more use cases and an ever increasing demand for analytics. In this talk Bjorn will explain how autonomous data management and machine learning help innovators to more productive and give examples how to deliver new data driven projects with less risk at lower costs.

Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data Management and Machine Learning" - Bjorn Staender from Dataconomy Media

]]> 269 3 https://cdn.slidesharecdn.com/ss_thumbnails/pdf-oracle-how-to-be-more-productive-adb-ml-190923143100-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives meets DataRobot | "Build and deploy an anti-money laundering model in 20 minutes" - Kayne Putman & Christian de Chenu /Dataconomy/data-natives-meets-datarobot-build-and-deploy-an-antimoney-laundering-model-in-20-minutes-kayne-putman-christian-de-chenu datanativesdatarobotaml-190919084755
Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities. ]]>
Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities. ]]> Thu, 19 Sep 2019 08:47:55 GMT /Dataconomy/data-natives-meets-datarobot-build-and-deploy-an-antimoney-laundering-model-in-20-minutes-kayne-putman-christian-de-chenu Dataconomy@slideshare.net(Dataconomy) Data Natives meets DataRobot | "Build and deploy an anti-money laundering model in 20 minutes" - Kayne Putman & Christian de Chenu Dataconomy Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datanativesdatarobotaml-190919084755-thumbnail.jpg?width=120&height=120&fit=bounds" /> Compliance departments within banks and other financial institutions are turning to machine learning for improving their Anti Money Laundering compliance activities. Today, the systems that aim to detect potentially suspicious activity are commonly rule-based, and suffer from ultra-high false positive rates. DataRobot will discuss how their Automated Machine Learning platform was successfully used for a real use case to reduce their false positives and to enhance their Anti-Money Laundering activities.

Data Natives meets DataRobot | "Build and deploy an anti-money laundering model in 20 minutes" - Kayne Putman & Christian de Chenu from Dataconomy Media

]]> 569 4 https://cdn.slidesharecdn.com/ss_thumbnails/datanativesdatarobotaml-190919084755-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, Social Bots and the post-truth era" - Juan Carlos Medina /Dataconomy/data-natives-munich-v-120-political-data-science-a-tale-of-fake-news-social-bots-and-the-posttruth-era-juan-carlos-medina datanativesmucpds-190917222757
Trump, Brexit, Cambridge Analytica... In the last few years, we have had to confront the consequences of the use and misuse of data science algorithms in manipulating public opinion through social media. The use of private data to microtarget individuals is a daily practice (and a trillion-dollar industry), which has serious side-effects when the selling product is your political ideology. How can we cope with this new scenario? ]]>
Trump, Brexit, Cambridge Analytica... In the last few years, we have had to confront the consequences of the use and misuse of data science algorithms in manipulating public opinion through social media. The use of private data to microtarget individuals is a daily practice (and a trillion-dollar industry), which has serious side-effects when the selling product is your political ideology. How can we cope with this new scenario? ]]> Tue, 17 Sep 2019 22:27:57 GMT /Dataconomy/data-natives-munich-v-120-political-data-science-a-tale-of-fake-news-social-bots-and-the-posttruth-era-juan-carlos-medina Dataconomy@slideshare.net(Dataconomy) Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, Social Bots and the post-truth era" - Juan Carlos Medina Dataconomy Trump, Brexit, Cambridge Analytica... In the last few years, we have had to confront the consequences of the use and misuse of data science algorithms in manipulating public opinion through social media. The use of private data to microtarget individuals is a daily practice (and a trillion-dollar industry), which has serious side-effects when the selling product is your political ideology. How can we cope with this new scenario? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datanativesmucpds-190917222757-thumbnail.jpg?width=120&height=120&fit=bounds" /> Trump, Brexit, Cambridge Analytica... In the last few years, we have had to confront the consequences of the use and misuse of data science algorithms in manipulating public opinion through social media. The use of private data to microtarget individuals is a daily practice (and a trillion-dollar industry), which has serious side-effects when the selling product is your political ideology. How can we cope with this new scenario?

Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, Social Bots and the post-truth era" - Juan Carlos Medina from Dataconomy Media

]]> 328 0 https://cdn.slidesharecdn.com/ss_thumbnails/datanativesmucpds-190917222757-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Data-Services" - Zain Malik /slideshow/data-natives-vienna-v-70-building-kubernetes-operators-with-kudo-for-dataservices-zain-malik/171485794 data-natives-vienna-190913081414
A declarative, no-code approach to Kubernetes Day 2 Operators for the stateful workload. ]]>
A declarative, no-code approach to Kubernetes Day 2 Operators for the stateful workload. ]]> Fri, 13 Sep 2019 08:14:14 GMT /slideshow/data-natives-vienna-v-70-building-kubernetes-operators-with-kudo-for-dataservices-zain-malik/171485794 Dataconomy@slideshare.net(Dataconomy) Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Data-Services" - Zain Malik Dataconomy A declarative, no-code approach to Kubernetes Day 2 Operators for the stateful workload. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-natives-vienna-190913081414-thumbnail.jpg?width=120&height=120&fit=bounds" /> A declarative, no-code approach to Kubernetes Day 2 Operators for the stateful workload.

Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Data-Services" - Zain Malik from Dataconomy Media

]]> 173 0 https://cdn.slidesharecdn.com/ss_thumbnails/data-natives-vienna-190913081414-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de Kruijff /slideshow/data-natives-vienna-v-70-the-ingredients-of-data-innovation-robbert-de-kruijff/171484651 theingredientsofdatainnovation-datanatives-190913080817
When taking a deep dive into the world of data, one thing is certain: the ultimate goal is to create something new, something better, something faster. In other words, innovation should always be at the forefront of companies strategic outlook, whether their goal is to pioneer new processes, user experiences, products or services. ]]>
When taking a deep dive into the world of data, one thing is certain: the ultimate goal is to create something new, something better, something faster. In other words, innovation should always be at the forefront of companies strategic outlook, whether their goal is to pioneer new processes, user experiences, products or services. ]]> Fri, 13 Sep 2019 08:08:17 GMT /slideshow/data-natives-vienna-v-70-the-ingredients-of-data-innovation-robbert-de-kruijff/171484651 Dataconomy@slideshare.net(Dataconomy) Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de Kruijff Dataconomy When taking a deep dive into the world of data, one thing is certain: the ultimate goal is to create something new, something better, something faster. In other words, innovation should always be at the forefront of companies strategic outlook, whether their goal is to pioneer new processes, user experiences, products or services. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theingredientsofdatainnovation-datanatives-190913080817-thumbnail.jpg?width=120&height=120&fit=bounds" /> When taking a deep dive into the world of data, one thing is certain: the ultimate goal is to create something new, something better, something faster. In other words, innovation should always be at the forefront of companies strategic outlook, whether their goal is to pioneer new processes, user experiences, products or services.

Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de Kruijff from Dataconomy Media

]]> 151 1 https://cdn.slidesharecdn.com/ss_thumbnails/theingredientsofdatainnovation-datanatives-190913080817-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness in Data Products" - Omayma Said /slideshow/data-natives-cologne-v-40-the-data-lorax-planting-the-seeds-of-fairness-in-data-products-omayma-said/170677675 thedataloraxdatanatives-190910201754
What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the implications of the systems they build. This talk will shed light on the impact of AI systems and the unintended consequences of the use of data in different products. It will also discuss our role, as data practitioners, in planting the seeds of fairness in the systems we build. ]]>
What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the implications of the systems they build. This talk will shed light on the impact of AI systems and the unintended consequences of the use of data in different products. It will also discuss our role, as data practitioners, in planting the seeds of fairness in the systems we build. ]]> Tue, 10 Sep 2019 20:17:54 GMT /slideshow/data-natives-cologne-v-40-the-data-lorax-planting-the-seeds-of-fairness-in-data-products-omayma-said/170677675 Dataconomy@slideshare.net(Dataconomy) Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness in Data Products" - Omayma Said Dataconomy What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the implications of the systems they build. This talk will shed light on the impact of AI systems and the unintended consequences of the use of data in different products. It will also discuss our role, as data practitioners, in planting the seeds of fairness in the systems we build. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thedataloraxdatanatives-190910201754-thumbnail.jpg?width=120&height=120&fit=bounds" /> What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the implications of the systems they build. This talk will shed light on the impact of AI systems and the unintended consequences of the use of data in different products. It will also discuss our role, as data practitioners, in planting the seeds of fairness in the systems we build.

Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness in Data Products" - Omayma Said from Dataconomy Media

]]> 238 0 https://cdn.slidesharecdn.com/ss_thumbnails/thedataloraxdatanatives-190910201754-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspects of the Business" - Fatemeh Amiri /slideshow/data-natives-cologne-how-people-analytics-can-reveal-the-hidden-aspects-of-the-business-fatemeh-amiri/170677426 meetupprefatemeh-190910201442
We all hear about the power of data, big data and data analysis in todays market place. But rarely feel it's touchable effects on our own business decisions and performance. Let's dive into it and see how can people analytics increase people performance, motivation and business revenue?]]>
We all hear about the power of data, big data and data analysis in todays market place. But rarely feel it's touchable effects on our own business decisions and performance. Let's dive into it and see how can people analytics increase people performance, motivation and business revenue?]]> Tue, 10 Sep 2019 20:14:42 GMT /slideshow/data-natives-cologne-how-people-analytics-can-reveal-the-hidden-aspects-of-the-business-fatemeh-amiri/170677426 Dataconomy@slideshare.net(Dataconomy) Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspects of the Business" - Fatemeh Amiri Dataconomy We all hear about the power of data, big data and data analysis in todays market place. But rarely feel it's touchable effects on our own business decisions and performance. Let's dive into it and see how can people analytics increase people performance, motivation and business revenue? <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/meetupprefatemeh-190910201442-thumbnail.jpg?width=120&height=120&fit=bounds" /> We all hear about the power of data, big data and data analysis in todays market place. But rarely feel it's touchable effects on our own business decisions and performance. Let's dive into it and see how can people analytics increase people performance, motivation and business revenue?

Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspects of the Business" - Fatemeh Amiri from Dataconomy Media

]]> 223 0 https://cdn.slidesharecdn.com/ss_thumbnails/meetupprefatemeh-190910201442-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev /Dataconomy/data-natives-amsterdam-v-90-ten-little-servers-a-story-of-no-downtime-aleksandr-volochnev 10littleservers-190905205044
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime! ]]>
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime! ]]> Thu, 05 Sep 2019 20:50:44 GMT /Dataconomy/data-natives-amsterdam-v-90-ten-little-servers-a-story-of-no-downtime-aleksandr-volochnev Dataconomy@slideshare.net(Dataconomy) Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev Dataconomy Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/10littleservers-190905205044-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!

Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev from Dataconomy Media

]]> 126 0 https://cdn.slidesharecdn.com/ss_thumbnails/10littleservers-190905205044-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Thatcher /slideshow/data-natives-amsterdam-v-90-point-in-time-labeling-at-scale-timothy-thatcher/169399232 pointintimemapping3-190905204441
In the data industry, having correctly labelled datasets is vital. Timothy Thatcher explains how tagging your data while considering time and location and complex hierarchical rules at scale can be handled. ]]>
In the data industry, having correctly labelled datasets is vital. Timothy Thatcher explains how tagging your data while considering time and location and complex hierarchical rules at scale can be handled. ]]> Thu, 05 Sep 2019 20:44:41 GMT /slideshow/data-natives-amsterdam-v-90-point-in-time-labeling-at-scale-timothy-thatcher/169399232 Dataconomy@slideshare.net(Dataconomy) Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Thatcher Dataconomy In the data industry, having correctly labelled datasets is vital. Timothy Thatcher explains how tagging your data while considering time and location and complex hierarchical rules at scale can be handled. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/pointintimemapping3-190905204441-thumbnail.jpg?width=120&height=120&fit=bounds" /> In the data industry, having correctly labelled datasets is vital. Timothy Thatcher explains how tagging your data while considering time and location and complex hierarchical rules at scale can be handled.

Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Thatcher from Dataconomy Media

]]> 113 0 https://cdn.slidesharecdn.com/ss_thumbnails/pointintimemapping3-190905204441-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to understand Ben" - Mircea Stoica /slideshow/data-natives-hamburg-v-60-interpersonal-behavior-observing-alex-to-understand-ben-mircea-stoica/169117568 mirceastoicadatanatives-190904203029
How the use computer vision for the automated screening of Autism in children. ]]>
How the use computer vision for the automated screening of Autism in children. ]]> Wed, 04 Sep 2019 20:30:29 GMT /slideshow/data-natives-hamburg-v-60-interpersonal-behavior-observing-alex-to-understand-ben-mircea-stoica/169117568 Dataconomy@slideshare.net(Dataconomy) Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to understand Ben" - Mircea Stoica Dataconomy How the use computer vision for the automated screening of Autism in children. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/mirceastoicadatanatives-190904203029-thumbnail.jpg?width=120&height=120&fit=bounds" /> How the use computer vision for the automated screening of Autism in children.

Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to understand Ben" - Mircea Stoica from Dataconomy Media

]]> 160 1 https://cdn.slidesharecdn.com/ss_thumbnails/mirceastoicadatanatives-190904203029-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Schneider /Dataconomy/data-natives-hamburg-v-60-about-surfing-failing-scaling-florian-schneider leantreeenv01-190904202845
After years of continual failing Florian has established a system that helped them to 10x their revenue in under a year. They call it "lean tree". ]]>
After years of continual failing Florian has established a system that helped them to 10x their revenue in under a year. They call it "lean tree". ]]> Wed, 04 Sep 2019 20:28:45 GMT /Dataconomy/data-natives-hamburg-v-60-about-surfing-failing-scaling-florian-schneider Dataconomy@slideshare.net(Dataconomy) Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Schneider Dataconomy After years of continual failing Florian has established a system that helped them to 10x their revenue in under a year. They call it "lean tree". <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/leantreeenv01-190904202845-thumbnail.jpg?width=120&height=120&fit=bounds" /> After years of continual failing Florian has established a system that helped them to 10x their revenue in under a year. They call it "lean tree".

Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Schneider from Dataconomy Media

]]> 114 0 https://cdn.slidesharecdn.com/ss_thumbnails/leantreeenv01-190904202845-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end" - Eugene Klyuchnikov /slideshow/data-nativesberlin-v-200-serving-ab-experimentation-platform-endtoend-eugene-klyuchnikov/169116633 datanatives2019-190904202700
During the lifetime of an A/B test product managers and analysts in GetYourGuide require various tools and different kinds of data to plan the trial properly, control it during the run and analyze the results at the end. This talk would be about the architecture, tools and data flow for serving their needs. ]]>
During the lifetime of an A/B test product managers and analysts in GetYourGuide require various tools and different kinds of data to plan the trial properly, control it during the run and analyze the results at the end. This talk would be about the architecture, tools and data flow for serving their needs. ]]> Wed, 04 Sep 2019 20:27:00 GMT /slideshow/data-nativesberlin-v-200-serving-ab-experimentation-platform-endtoend-eugene-klyuchnikov/169116633 Dataconomy@slideshare.net(Dataconomy) Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end" - Eugene Klyuchnikov Dataconomy During the lifetime of an A/B test product managers and analysts in GetYourGuide require various tools and different kinds of data to plan the trial properly, control it during the run and analyze the results at the end. This talk would be about the architecture, tools and data flow for serving their needs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/datanatives2019-190904202700-thumbnail.jpg?width=120&height=120&fit=bounds" /> During the lifetime of an A/B test product managers and analysts in GetYourGuide require various tools and different kinds of data to plan the trial properly, control it during the run and analyze the results at the end. This talk would be about the architecture, tools and data flow for serving their needs.

Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end" - Eugene Klyuchnikov from Dataconomy Media

]]> 109 0 https://cdn.slidesharecdn.com/ss_thumbnails/datanatives2019-190904202700-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev, Developer Advocate at DataStax /slideshow/data-natives-berlin-v-200-ten-little-servers-a-story-of-no-downtime-aleksandr-volochnev-developer-advocate-at-datastax/168933862 10littleservers-190904063522
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!]]>
Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!]]> Wed, 04 Sep 2019 06:35:22 GMT /slideshow/data-natives-berlin-v-200-ten-little-servers-a-story-of-no-downtime-aleksandr-volochnev-developer-advocate-at-datastax/168933862 Dataconomy@slideshare.net(Dataconomy) Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev, Developer Advocate at DataStax Dataconomy Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/10littleservers-190904063522-thumbnail.jpg?width=120&height=120&fit=bounds" /> Cloud Infrastructure is a hostile environment: a power supply failure or a network outage leads to downtime and big losses. There is nothing we can trust: a single server, a server rack, even a whole datacenter can fail, and if an application is fragile by design, disruption is inevitable. We must distribute our application and diversify cloud data strategy to survive disturbances of any scale. Apache Cassandra is a cloud-native platform-agnostic database that stores data with a distributed redundancy so it easily survives any issue. What to know how Apple and Netflix handle petabytes of data, keeping it highly available? Join us and listen to a story of 10 little servers and no downtime!

Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - Aleksandr Volochnev, Developer Advocate at DataStax from Dataconomy Media

]]> 94 0 https://cdn.slidesharecdn.com/ss_thumbnails/10littleservers-190904063522-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - Dominik Fries /slideshow/big-data-frankfurt-meets-thinkport-the-cloud-as-a-driver-of-innovation-dominik-fries/154284243 ltjq7yomsju9r6nwzo9z-signature-374c5e226cc87cc69a8374e9467a41c84312656d52421f7103b012a1119c8269-poli-190708072300
Creativity is the mental ability to create new ideas and designs. Innovation, on the other hand, Means developing useful solutions from new ideas. Creativity can be goal-oriented, Whereas innovation is always goal-oriented. This bedeutet, dass innovation aims to achieve defined goals. The use of cloud services and technologies promises enterprise users many benefits in terms of more flexible use of IT resources and faster access to innovative solutions. That’s why we want to examine the question in this talk, of what role cloud computing plays for innovation in companies.]]>
Creativity is the mental ability to create new ideas and designs. Innovation, on the other hand, Means developing useful solutions from new ideas. Creativity can be goal-oriented, Whereas innovation is always goal-oriented. This bedeutet, dass innovation aims to achieve defined goals. The use of cloud services and technologies promises enterprise users many benefits in terms of more flexible use of IT resources and faster access to innovative solutions. That’s why we want to examine the question in this talk, of what role cloud computing plays for innovation in companies.]]> Mon, 08 Jul 2019 07:23:00 GMT /slideshow/big-data-frankfurt-meets-thinkport-the-cloud-as-a-driver-of-innovation-dominik-fries/154284243 Dataconomy@slideshare.net(Dataconomy) Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - Dominik Fries Dataconomy Creativity is the mental ability to create new ideas and designs. Innovation, on the other hand, Means developing useful solutions from new ideas. Creativity can be goal-oriented, Whereas innovation is always goal-oriented. This bedeutet, dass innovation aims to achieve defined goals. The use of cloud services and technologies promises enterprise users many benefits in terms of more flexible use of IT resources and faster access to innovative solutions. That’s why we want to examine the question in this talk, of what role cloud computing plays for innovation in companies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ltjq7yomsju9r6nwzo9z-signature-374c5e226cc87cc69a8374e9467a41c84312656d52421f7103b012a1119c8269-poli-190708072300-thumbnail.jpg?width=120&height=120&fit=bounds" /> Creativity is the mental ability to create new ideas and designs. Innovation, on the other hand, Means developing useful solutions from new ideas. Creativity can be goal-oriented, Whereas innovation is always goal-oriented. This bedeutet, dass innovation aims to achieve defined goals. The use of cloud services and technologies promises enterprise users many benefits in terms of more flexible use of IT resources and faster access to innovative solutions. That’s why we want to examine the question in this talk, of what role cloud computing plays for innovation in companies.

Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - Dominik Fries from Dataconomy Media

]]> 464 1 https://cdn.slidesharecdn.com/ss_thumbnails/ltjq7yomsju9r6nwzo9z-signature-374c5e226cc87cc69a8374e9467a41c84312656d52421f7103b012a1119c8269-poli-190708072300-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" - Markus Vogl /slideshow/thinkport-meets-frankfurt-financial-time-series-analysis-using-wavelets-markus-vogl/153323808 7audop7erjsqnkbgdxmg-signature-731a58381fae9ed9b2cf1cd7a420b0fc72bb251dfc6d37c5dc3b9a4e8199289f-poli-190703081953
Presentation of Time Series Properties of Financial Instrument and Possibilities in Frequency Decomposition and Information Extraction using FT, STFT and Wavelets with Outlook in Current Research on Wavelet Neural Networks]]>
Presentation of Time Series Properties of Financial Instrument and Possibilities in Frequency Decomposition and Information Extraction using FT, STFT and Wavelets with Outlook in Current Research on Wavelet Neural Networks]]> Wed, 03 Jul 2019 08:19:53 GMT /slideshow/thinkport-meets-frankfurt-financial-time-series-analysis-using-wavelets-markus-vogl/153323808 Dataconomy@slideshare.net(Dataconomy) Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" - Markus Vogl Dataconomy Presentation of Time Series Properties of Financial Instrument and Possibilities in Frequency Decomposition and Information Extraction using FT, STFT and Wavelets with Outlook in Current Research on Wavelet Neural Networks <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/7audop7erjsqnkbgdxmg-signature-731a58381fae9ed9b2cf1cd7a420b0fc72bb251dfc6d37c5dc3b9a4e8199289f-poli-190703081953-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of Time Series Properties of Financial Instrument and Possibilities in Frequency Decomposition and Information Extraction using FT, STFT and Wavelets with Outlook in Current Research on Wavelet Neural Networks

Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" - Markus Vogl from Dataconomy Media

]]> 172 3 https://cdn.slidesharecdn.com/ss_thumbnails/7audop7erjsqnkbgdxmg-signature-731a58381fae9ed9b2cf1cd7a420b0fc72bb251dfc6d37c5dc3b9a4e8199289f-poli-190703081953-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with Apache Ignite" - Yuriy Babak /slideshow/big-data-helsinki-v-3-distributed-machine-and-deep-learning-at-scale-with-apache-ignite-yury-babak/152360036 ywri9xas0c3xbmoqrsja-signature-cf0e6d0d638eb5ab961e0a0352bfa6ab99715c74002a580bc407c53863b3471f-poli-190628084538
"With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time. Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning. Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started. Topics include: — Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons — Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own — Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite — How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference"]]>
"With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time. Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning. Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started. Topics include: — Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons — Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own — Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite — How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference"]]> Fri, 28 Jun 2019 08:45:38 GMT /slideshow/big-data-helsinki-v-3-distributed-machine-and-deep-learning-at-scale-with-apache-ignite-yury-babak/152360036 Dataconomy@slideshare.net(Dataconomy) Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with Apache Ignite" - Yuriy Babak Dataconomy "With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time. Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning. Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started. Topics include: — Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons — Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own — Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite — How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference" <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ywri9xas0c3xbmoqrsja-signature-cf0e6d0d638eb5ab961e0a0352bfa6ab99715c74002a580bc407c53863b3471f-poli-190628084538-thumbnail.jpg?width=120&height=120&fit=bounds" /> "With most machine learning (ML) and deep learning (DL) frameworks, it can take hours to move data for ETL, and hours to train models. It's also hard to scale, with data sets increasingly being larger than the capacity of any single server. The amount of the data also makes it hard to incrementally test and retrain models in near real-time. Learn how Apache Ignite and GridGain help to address limitations like ETL costs, scaling issues and Time-To-Market for the new models and help achieve near-real-time, continuous learning. Yuriy Babak, the head of ML/DL framework development at GridGain and Apache Ignite committer, will explain how ML/DL work with Apache Ignite, and how to get started. Topics include: — Overview of distributed ML/DL including architecture, implementation, usage patterns, pros and cons — Overview of Apache Ignite ML/DL, including built-in ML/DL algorithms, and how to implement your own — Model inference with Apache Ignite, including how to train models with other libraries, like Apache Spark, and deploy them in Ignite — How Apache Ignite and TensorFlow can be used together to build distributed DL model training and inference"

Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with Apache Ignite" - Yuriy Babak from Dataconomy Media

]]> 133 1 https://cdn.slidesharecdn.com/ss_thumbnails/ywri9xas0c3xbmoqrsja-signature-cf0e6d0d638eb5ab961e0a0352bfa6ab99715c74002a580bc407c53863b3471f-poli-190628084538-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguzhan Gencoglu /Dataconomy/big-data-helsinki-v-3-federated-learning-and-privacypreserving-ai-oguzhan-gencoglu 5swgklcvr9aig2oyfw8b-signature-d64dc91c09daf16afaaeb21eb0305bbe2148111eff89ade67bd1e76722ebcde7-poli-190628084044
"Machine learning algorithms require significant amounts of training data which has been centralized on one machine or in a datacenter so far. For numerous applications, such need of collecting data can be extremely privacy-invasive. Recent advancements in AI research approach this issue by a new paradigm of training AI models, i.e., Federated Learning. In federated learning, edge devices (phones, computers, cars etc.) collaboratively learn a shared AI model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. From personal data perspective, this paradigm enables a way of training a model on the device without directly inspecting users’ data on a server. This talk will pinpoint several examples of AI applications benefiting from federated learning and the likely future of privacy-aware systems."]]>
"Machine learning algorithms require significant amounts of training data which has been centralized on one machine or in a datacenter so far. For numerous applications, such need of collecting data can be extremely privacy-invasive. Recent advancements in AI research approach this issue by a new paradigm of training AI models, i.e., Federated Learning. In federated learning, edge devices (phones, computers, cars etc.) collaboratively learn a shared AI model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. From personal data perspective, this paradigm enables a way of training a model on the device without directly inspecting users’ data on a server. This talk will pinpoint several examples of AI applications benefiting from federated learning and the likely future of privacy-aware systems."]]> Fri, 28 Jun 2019 08:40:44 GMT /Dataconomy/big-data-helsinki-v-3-federated-learning-and-privacypreserving-ai-oguzhan-gencoglu Dataconomy@slideshare.net(Dataconomy) Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguzhan Gencoglu Dataconomy "Machine learning algorithms require significant amounts of training data which has been centralized on one machine or in a datacenter so far. For numerous applications, such need of collecting data can be extremely privacy-invasive. Recent advancements in AI research approach this issue by a new paradigm of training AI models, i.e., Federated Learning. In federated learning, edge devices (phones, computers, cars etc.) collaboratively learn a shared AI model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. From personal data perspective, this paradigm enables a way of training a model on the device without directly inspecting users’ data on a server. This talk will pinpoint several examples of AI applications benefiting from federated learning and the likely future of privacy-aware systems." <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/5swgklcvr9aig2oyfw8b-signature-d64dc91c09daf16afaaeb21eb0305bbe2148111eff89ade67bd1e76722ebcde7-poli-190628084044-thumbnail.jpg?width=120&height=120&fit=bounds" /> "Machine learning algorithms require significant amounts of training data which has been centralized on one machine or in a datacenter so far. For numerous applications, such need of collecting data can be extremely privacy-invasive. Recent advancements in AI research approach this issue by a new paradigm of training AI models, i.e., Federated Learning. In federated learning, edge devices (phones, computers, cars etc.) collaboratively learn a shared AI model while keeping all the training data on device, decoupling the ability to do machine learning from the need to store the data in the cloud. From personal data perspective, this paradigm enables a way of training a model on the device without directly inspecting users’ data on a server. This talk will pinpoint several examples of AI applications benefiting from federated learning and the likely future of privacy-aware systems."

Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguzhan Gencoglu from Dataconomy Media

]]> 944 1 https://cdn.slidesharecdn.com/ss_thumbnails/5swgklcvr9aig2oyfw8b-signature-d64dc91c09daf16afaaeb21eb0305bbe2148111eff89ade67bd1e76722ebcde7-poli-190628084044-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-Dataconomy-48x48.jpg?cb=1595581188 Ranked amongst the Top 100 Global Big Data Brands, Dataconomy Media is Europe's leading Media Portal focussed solely on Data Science . Organizer of Europe's largest Big Data Events & Conferences, Dataconomy Media bridges the gap between Data Science and Business. dataconomy.com/ https://cdn.slidesharecdn.com/ss_thumbnails/datanativesparis2019-09-2513h11-190925211227-thumbnail.jpg?width=320&height=320&fit=bounds Dataconomy/data-natives-paris-v-100-blockchain-in-healthcare-lea-dias-david-andrianavalontsalama Data Natives Paris v 1... https://cdn.slidesharecdn.com/ss_thumbnails/competitiveadvantageswithknowledgegraphsandgraphtechnology-190924213939-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-natives-frankfurt-v-110-competitive-advantages-with-knowledge-graphs-and-graph-technology-axel-morgner/175700480 Data Natives Frankfurt... https://cdn.slidesharecdn.com/ss_thumbnails/datanatives2019-09-24-190924213626-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/data-natives-frankfurt-v-110-can-we-be-made-responsible-for-misuse-of-data-algorithms-sam-liban/175699852 Data Natives Frankfurt...