The document summarizes Heather Wallace's presentation on using stereotypes for architecture management of a border security product line at Airbus Defence & Space. The presentation covered determining stereotypes for the metamodel and EA project structure, implementing stereotypes using MDG technology, and exploiting stereotypes for documentation generation, DOORS integration, and integrity checking. Stereotypes were used to address issues with the previous approach such as inconsistencies between architecture streams and high maintenance of links.
How can collaboration be fostered in a highly distributed development like the automotive industry. New mega trends, convergence of domains and interoparable tools are the key factors.
[SiriusCon 2020] Pushing Limits in Automotive Model Visualization at BOSCH - ...Obeo
In this session, we shall present our model visualizations based on Sirius framework used in multicore automotive software production tools at Bosch. We will provide insights into the decision criteria and benefits achieved with Sirius. The talk shall also highlight the pros and cons of using the framework in real-life projects containing over 300 million model objects. Our experience report in this session can serve as a guideline for the developer community in the industry. Further, our presentation will highlight the performance optimization and lay-outing challenges. Additionally, we present a case study of problems faced during development and its solutions so as to not re-invent the wheel.
Syed Aoun Raza, Robert Bosch
Syed Aoun Raza is working as Lead Software Architect and Multi-Core system design expert for Robert Bosch GmbH in Stuttgart (Germany). He has earned several years of experience in tool development using MDSD approaches. Additionally, he has research contributions in design and implementation of static analysis tools and techniques with focus on parallel/concurrent programs.
Rakesh Nidavani, Robert Bosch
Rakesh is a specialist at Robert Bosch, India. He has over 8 years of software development experience. Mostly works on applications based on EMF and Eclipse Sirius.
Amal Jose Vallavanthara, Robert Bosch
Currently works on multi-core automotive model domain at Robert Bosch GmbH, Germany. He specializes in machine learning and embedded systems.
Dennis Nagy talks about the impact of Cloud computing in the evolution of the engineering simulations market. He will share his insight on how and why Cloud computing will change how engineering simulations are done.
www.theubercloud.com
Engineering Simulation Meets the CloudBurak Yenier
Dennis Nagy talks about the impact of Cloud computing in the evolution of the engineering simulations market. He will share his insight on how and why Cloud computing will change how engineering simulations are done.
How can collaboration be fostered in a highly distributed development like the automotive industry. New mega trends, convergence of domains and interoparable tools are the key factors.
[SiriusCon 2020] Pushing Limits in Automotive Model Visualization at BOSCH - ...Obeo
In this session, we shall present our model visualizations based on Sirius framework used in multicore automotive software production tools at Bosch. We will provide insights into the decision criteria and benefits achieved with Sirius. The talk shall also highlight the pros and cons of using the framework in real-life projects containing over 300 million model objects. Our experience report in this session can serve as a guideline for the developer community in the industry. Further, our presentation will highlight the performance optimization and lay-outing challenges. Additionally, we present a case study of problems faced during development and its solutions so as to not re-invent the wheel.
Syed Aoun Raza, Robert Bosch
Syed Aoun Raza is working as Lead Software Architect and Multi-Core system design expert for Robert Bosch GmbH in Stuttgart (Germany). He has earned several years of experience in tool development using MDSD approaches. Additionally, he has research contributions in design and implementation of static analysis tools and techniques with focus on parallel/concurrent programs.
Rakesh Nidavani, Robert Bosch
Rakesh is a specialist at Robert Bosch, India. He has over 8 years of software development experience. Mostly works on applications based on EMF and Eclipse Sirius.
Amal Jose Vallavanthara, Robert Bosch
Currently works on multi-core automotive model domain at Robert Bosch GmbH, Germany. He specializes in machine learning and embedded systems.
Dennis Nagy talks about the impact of Cloud computing in the evolution of the engineering simulations market. He will share his insight on how and why Cloud computing will change how engineering simulations are done.
www.theubercloud.com
Engineering Simulation Meets the CloudBurak Yenier
Dennis Nagy talks about the impact of Cloud computing in the evolution of the engineering simulations market. He will share his insight on how and why Cloud computing will change how engineering simulations are done.
Open Architecture in the Adobe Marketing Cloud - Summit 2014Paolo Mottadelli
Explore the open architecture concepts of Adobe Marketing Cloud and how they increase the quality and usability of Adobe solutions. The open architecture makes Adobe components easier to integrate, test, and understand, enabling partners and customers to integrate custom data sources and applications with Adobe Marketing Cloud.
Learn about:
– The open architecture concepts applied to Adobe Marketing Cloud
– How the open architecture increases the quality and usability of Adobe solutions
– Taking advantage of integration options
This session is for the entire technical constituency, from developers to CTOs, across all Adobe Marketing Cloud solutions.
Multimedia document processing using the Weblab platform: AXES project use ca...OW2
AXES (http://axes-project.eu) was a project co-funded by the European Union’s Seventh Programme for Research, Technological Development and Demonstration. The goal of AXES was to develop tools that provide various types of users with new engaging ways to interact with audiovisual libraries, helping them to discover, browse, search and enrich video archives.
The OW2 WebLab (http://weblab-project.org) integration platform for multimedia processing has been used to aggregate the services developed by 9 partners in order to build the three demonstrators targeting various user groups: the media professionals, the journalists and researchers as well as the home users.
As a result of the AXES project, OW2 "Open AXES", is born. It provides a complete solution that gathers innovative audiovisual content analysis technologies (shot and keyframes detection, image classification, speech transcription, large scale indexing, similarity search, etc.) as well as an ergonomic interface to retrieve and navigate in video archives.
Dennis Nagy, Principal at BeyondCAE, talks about the future of MCAE Engineering Simulation Industry and the impact of Cloud computing on engineering simulations.
This webinar was recorded and made available as a UberCloud University TechTalk.
Building Intelligent Applications, Experimental ML with Uber’s Data Science W...Databricks
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
Uber - Building Intelligent Applications, Experimental ML with Uber’s Data Sc...Karthik Murugesan
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
AVEVA World Conference NA - Rabelo/Tedstone, AVEVA ERM & ProconAVEVA-Americas
AVEVA ERM provides companies with the ability to coordinate the right material, at the right time, to the right place. In the past, AVEVA ERM was predominantly used in shipyards, but is now equally utilized across the marine and plant industries around the world. This presentation covers the latest updates to AVEVA ERM, including the ability to have the same specifications in ERM feeding multiple design tools and the alignment to the Advance Work Package(AWP) methodology, as well as highlights of the new release of AVEVA ERM 14.0, due in Q2 2018.
AVEVA’s contract management solution, AVEVA ProCon, is a contract risk and interface management tool that connects all decision makers and protects capital investment, mitigates risk, drives performance and improves profitability. This presentation covers the latest updates in ProCon 6.9 and the roadmap for future developments coming in 2018 and beyond.
The Fantastic Voyage to PaaS - Are we there yet? (Cloud Foundry Summit 2014)VMware Tanzu
Keynote delivered by Casey Hadden, Software Developer and Architect at SAS.
SAS is a software vendor with 35+ years of industry history (and 35+ years of software decisions). From mainframes, Unix workstations, and client-server to web applications, big data, and cloud; one constant has been the changing computing environment. Throughout these eras, SAS software and the SAS business has adapted to each change in order to deliver valuable analytics to our customers.
With cloud environments firmly ensconced and PaaS gaining traction every day, how does SAS rework its software and business again to compete and thrive in this environment? How can SAS help to fill in the 'Analytics' portion of an enterprise PaaS strategy?
Distributed Object or Remote Method Invocation (RMI) frameworks facilitate the remote invocation of methods and creation of objects between systems. Conceptually RMI frameworks are similar to Remote Procedure Call (RPC) platforms. A main difference is that in RMI the client and the server work with the entire object lifecycle (i.e. creation, destruction) whereas RPC is typically limited to remote methods or procedures. RMI frameworks are interesting because they provide a remote method for object manipulation. Even though Web Services have taken the lead as the de-facto technology for communication in distributed applications, RMI frameworks are still widely used in many applications. Almost every programming language has support for one or, usually, more RMI frameworks. The proliferation of this technology made RMI interfaces very common among all sorts of software, especially across Enterprise Applications, and constitute a fruitful vector from an attacker's point of view. In this presentation we will discuss the architecture, security features and new vulnerabilities we have detected in two implementations of popular Enterprise RMI frameworks: CORBA and SAP RMI-P4. Through live demonstrations, we will demonstrate novel techniques for remote file read/write, arbitrary database access, session hijacking, and other critical bugs in large enterprise platforms, as well as the countermeasures in order to protect from these threats. We will walk you through the vulnerability research process we performed over these frameworks, enabling you to understand also how these attacks could be extended to other RMI implementations you may encounter.
Samuel Asher Rivello - PureMVC Hands On Part 1360|Conferences
In this beginner session we’ll see how to setup your first PureMVC based on a proven project template. We’ll lay down the groundwork and add new features to evaluate the strengths and weaknesses of the framework.
While the examples shown will be specific to Adobe Flex 3 for deployment to the browser, this session is equally relevant for application developers of other technologies including Adobe Flex 3 for Adobe AIR desktop deployment.
REST APIs converse in data, and present a new idiom for organizing, exposing and exchanging data. There is a need to bring API design into the canon of modeling methods, and to incorporate data modeling as an essential component of this practice.
In this session, we will explore data models, data types and relationships as they relate to the common language of APIs. We will examine the current state of API modeling languages, graphical representation and modeling tools.
Open Architecture in the Adobe Marketing Cloud - Summit 2014Paolo Mottadelli
Explore the open architecture concepts of Adobe Marketing Cloud and how they increase the quality and usability of Adobe solutions. The open architecture makes Adobe components easier to integrate, test, and understand, enabling partners and customers to integrate custom data sources and applications with Adobe Marketing Cloud.
Learn about:
– The open architecture concepts applied to Adobe Marketing Cloud
– How the open architecture increases the quality and usability of Adobe solutions
– Taking advantage of integration options
This session is for the entire technical constituency, from developers to CTOs, across all Adobe Marketing Cloud solutions.
Multimedia document processing using the Weblab platform: AXES project use ca...OW2
AXES (http://axes-project.eu) was a project co-funded by the European Union’s Seventh Programme for Research, Technological Development and Demonstration. The goal of AXES was to develop tools that provide various types of users with new engaging ways to interact with audiovisual libraries, helping them to discover, browse, search and enrich video archives.
The OW2 WebLab (http://weblab-project.org) integration platform for multimedia processing has been used to aggregate the services developed by 9 partners in order to build the three demonstrators targeting various user groups: the media professionals, the journalists and researchers as well as the home users.
As a result of the AXES project, OW2 "Open AXES", is born. It provides a complete solution that gathers innovative audiovisual content analysis technologies (shot and keyframes detection, image classification, speech transcription, large scale indexing, similarity search, etc.) as well as an ergonomic interface to retrieve and navigate in video archives.
Dennis Nagy, Principal at BeyondCAE, talks about the future of MCAE Engineering Simulation Industry and the impact of Cloud computing on engineering simulations.
This webinar was recorded and made available as a UberCloud University TechTalk.
Building Intelligent Applications, Experimental ML with Uber’s Data Science W...Databricks
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
Uber - Building Intelligent Applications, Experimental ML with Uber’s Data Sc...Karthik Murugesan
In this talk, we will explore how Uber enables rapid experimentation of machine learning models and optimization algorithms through the Uber’s Data Science Workbench (DSW). DSW covers a series of stages in data scientists’ workflow including data exploration, feature engineering, machine learning model training, testing and production deployment. DSW provides interactive notebooks for multiple languages with on-demand resource allocation and share their works through community features.
It also has support for notebooks and intelligent applications backed by spark job servers. Deep learning applications based on TensorFlow and Torch can be brought into DSW smoothly where resources management is taken care of by the system. The environment in DSW is customizable where users can bring their own libraries and frameworks. Moreover, DSW provides support for Shiny and Python dashboards as well as many other in-house visualization and mapping tools.
In the second part of this talk, we will explore the use cases where custom machine learning models developed in DSW are productionized within the platform. Uber applies Machine learning extensively to solve some hard problems. Some use cases include calculating the right prices for rides in over 600 cities and applying NLP technologies to customer feedbacks to offer safe rides and reduce support costs. We will look at various options evaluated for productionizing custom models (server based and serverless). We will also look at how DSW integrates into the larger Uber’s ML ecosystem, e.g. model/feature stores and other ML tools, to realize the vision of a complete ML platform for Uber.
AVEVA World Conference NA - Rabelo/Tedstone, AVEVA ERM & ProconAVEVA-Americas
AVEVA ERM provides companies with the ability to coordinate the right material, at the right time, to the right place. In the past, AVEVA ERM was predominantly used in shipyards, but is now equally utilized across the marine and plant industries around the world. This presentation covers the latest updates to AVEVA ERM, including the ability to have the same specifications in ERM feeding multiple design tools and the alignment to the Advance Work Package(AWP) methodology, as well as highlights of the new release of AVEVA ERM 14.0, due in Q2 2018.
AVEVA’s contract management solution, AVEVA ProCon, is a contract risk and interface management tool that connects all decision makers and protects capital investment, mitigates risk, drives performance and improves profitability. This presentation covers the latest updates in ProCon 6.9 and the roadmap for future developments coming in 2018 and beyond.
The Fantastic Voyage to PaaS - Are we there yet? (Cloud Foundry Summit 2014)VMware Tanzu
Keynote delivered by Casey Hadden, Software Developer and Architect at SAS.
SAS is a software vendor with 35+ years of industry history (and 35+ years of software decisions). From mainframes, Unix workstations, and client-server to web applications, big data, and cloud; one constant has been the changing computing environment. Throughout these eras, SAS software and the SAS business has adapted to each change in order to deliver valuable analytics to our customers.
With cloud environments firmly ensconced and PaaS gaining traction every day, how does SAS rework its software and business again to compete and thrive in this environment? How can SAS help to fill in the 'Analytics' portion of an enterprise PaaS strategy?
Distributed Object or Remote Method Invocation (RMI) frameworks facilitate the remote invocation of methods and creation of objects between systems. Conceptually RMI frameworks are similar to Remote Procedure Call (RPC) platforms. A main difference is that in RMI the client and the server work with the entire object lifecycle (i.e. creation, destruction) whereas RPC is typically limited to remote methods or procedures. RMI frameworks are interesting because they provide a remote method for object manipulation. Even though Web Services have taken the lead as the de-facto technology for communication in distributed applications, RMI frameworks are still widely used in many applications. Almost every programming language has support for one or, usually, more RMI frameworks. The proliferation of this technology made RMI interfaces very common among all sorts of software, especially across Enterprise Applications, and constitute a fruitful vector from an attacker's point of view. In this presentation we will discuss the architecture, security features and new vulnerabilities we have detected in two implementations of popular Enterprise RMI frameworks: CORBA and SAP RMI-P4. Through live demonstrations, we will demonstrate novel techniques for remote file read/write, arbitrary database access, session hijacking, and other critical bugs in large enterprise platforms, as well as the countermeasures in order to protect from these threats. We will walk you through the vulnerability research process we performed over these frameworks, enabling you to understand also how these attacks could be extended to other RMI implementations you may encounter.
Samuel Asher Rivello - PureMVC Hands On Part 1360|Conferences
In this beginner session we’ll see how to setup your first PureMVC based on a proven project template. We’ll lay down the groundwork and add new features to evaluate the strengths and weaknesses of the framework.
While the examples shown will be specific to Adobe Flex 3 for deployment to the browser, this session is equally relevant for application developers of other technologies including Adobe Flex 3 for Adobe AIR desktop deployment.
REST APIs converse in data, and present a new idiom for organizing, exposing and exchanging data. There is a need to bring API design into the canon of modeling methods, and to incorporate data modeling as an essential component of this practice.
In this session, we will explore data models, data types and relationships as they relate to the common language of APIs. We will examine the current state of API modeling languages, graphical representation and modeling tools.