The document discusses best practices for accelerating innovation with high-performance computing (HPC). It notes that HPC is used across many industries like engineering, manufacturing, life sciences, geosciences, government, academia, finance, media, and entertainment. It also discusses having a flexible HPC infrastructure that can adapt to changing needs.
Kirti Vashee, Vice-President Enterprise Translation Sales, Asia Online
Rustin Gibbs, Solutions Architect, Moravia Worldwide
Kirti and Rustin provide insights into an innovative approach to the practical use of MT in situations where the bilingual data is of insufficient volume and the monolingual data is of unclear relevance Kirti and Rustin provide examples from travel and publishing industries to show the individual steps of the process to equip participants with information on what language and language technology tools exist to build a high-quality translation engine.
In this deck from the 2014 HPC User Forum in Seattle, Ed Turkel from HP presents an update on HPC at HP.
Watch the video presentation: http://wp.me/p3RLHQ-d9X
Kirti Vashee, Vice-President Enterprise Translation Sales, Asia Online
Rustin Gibbs, Solutions Architect, Moravia Worldwide
Kirti and Rustin provide insights into an innovative approach to the practical use of MT in situations where the bilingual data is of insufficient volume and the monolingual data is of unclear relevance Kirti and Rustin provide examples from travel and publishing industries to show the individual steps of the process to equip participants with information on what language and language technology tools exist to build a high-quality translation engine.
In this deck from the 2014 HPC User Forum in Seattle, Ed Turkel from HP presents an update on HPC at HP.
Watch the video presentation: http://wp.me/p3RLHQ-d9X
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/luxoft/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Alexey Rybakov, Senior Director for Embedded Systems at Luxoft, presents the "Deep Learning Beyond Cats and Cars: Developing a Real-life DNN-based Embedded Vision Product for Agriculture, Construction, Medical, or Retail" tutorial at the May 2017 Embedded Vision Summit.
By now we know very well how to design and train a neural network to recognize cats, dogs and cars. But what about real projects — for example, in agriculture, construction, medical, and retail? This how-to talk provides an overview of what it takes to design, train, and fine-tune a real-life DNN-based embedded vision solution. Rybakov explores algorithmic, data set, training, and optimization decisions that take you from proofs-of-concepts to solid, reliable, and highly optimized systems. This material is based on Luxoft's own successes, failures, and lessons learned while implementing embedded vision solutions.
Predicting Consumer Behaviour via HadoopSkillspeed
This Hadoop Tutorial will unravel the complete Introduction to Big Data and Hadoop, HDFS, Predictive Analytics & Applications. Additionally, we will also extensively cover MapReduce & Usage.
At the end, you'll have strong knowledge regarding Predicting Consumer Behaviour via Hadoop.
PPT Agenda
✓ Introduction to Big Data & Hadoop
✓ Hadoop Characteristics
✓ Hadoop Ecosystem
✓ Predictive Analysis
✓ Applications of Predictive Analysis
✓ MapReduce Scenarios
✓ Traditional vs MapReduce Solutions
✓ Advantages of MapReduce
----------
What is Hadoop?
Hadoop is an open source Java-based programming framework that supports the processing of large data sets across clusters of distributed commodity servers. It enables you to store, process and gain insight from big data at low cost and huge scale.
----------
Hadoop has the following components:
1. MapReduce
2. The Hadoop Distributed File System (HDFS)
3. Apache Hive
4. HBase
5. Zookeeper
----------
Applications of Predictive Analysis
1. Analytical Customer Relationship Management (CRM)
2. Decision support systems
3. Customer satisfaction & retention
4. Direct marketing
5. Fraud detection
6. Risk management & assessment
----------
Skillspeed is a live e-learning company focusing on high-technology courses. We provide live instructor led training in BIG Data & Hadoop featuring Realtime Projects, 24/7 Lifetime Support & 100% Placement Assistance.
Email: sales@skillspeed.com
Website: https://www.skillspeed.com
Proud to be Polyglot - Riviera Dev 2015Tugdual Grall
New developers and teams are now polyglot :
- they use multiple programming languages (Java, Javascript, Ruby, ...)
- they use multiple persistence store (RDBMS, NoSQL, Hadoop)
In this talk you will learn about the benefits if being polyglot: use the good language or framework for the good cause, select the good persistence for specific constraints.
This presentation will show how developer could mix the Python, NodeJS, AngularJS, SQL with Drill for Hadoop and MongoDB.
Genome Analysis Pipelines, Big Data Style
Allen Day, Chief Scientist, MapR
Powerful new tools exist for processing large volumes of data quickly across a cluster of networked computers. Typical bioinformatics workflow requirements are well-matched to these tools' capabilities. However, the tool Spark, for example, is not commonly used because many legacy bioinformatics applications make assumptions about their computing environment. These assumptions present a barrier to integrating the tools into more modern computing environments. Fortunately, these barriers are quickly coming down. In this presentation, we'll examine a few operations common to many bioinformatics pipelines, show how they were usually implemented in the past, and how they're being re-implemented right now to save time, money, and make new types of analysis possible. Some code examples will also be provided.
Video Presentation:
https://youtu.be/iwgfjHiHr7Q
Practical Artificial Intelligence: Deep Learning Beyond Cats and CarsAlexey Rybakov
Developing a Real-life DNN-based Embedded Vision Product
for Agriculture, Construction, Medical, or Retail.
What it takes to succeed in a real-life development of a DNN-based embedded vision product? You have your hardware and software building blocks – want’s next? Learn how to plan and design for deep learning, how to select and cascade algorithms, where to get the training data and how much is enough, and how to optimize and troubleshoot your product.
By now we very well know how to design and train a neural network to recognize cats, dogs and cars. But what about real projects — agriculture, construction, medical, retail? This how-to talk will provide an overview of what it takes to design, train, and fine-tune a real-life DNN-based embedded vision solution. Presentation will explore algorithmic, data set, training, and optimization decisions that take you from proofs-of-concepts to solid, reliable, and highly optimized systems. This material is based on our own successes, failures, and other lessons we learnt while implementing embedded vision solutions over the past few years.
Alexey Rybakov is Senior Director with Luxoft, and manages software R&D, consulting and optimization services in artificial intelligence, deep learning, computer vision, and video processing.
Troubleshooting Dual-Protocol Networks and Systems by Scott Hogg at gogoNET L...gogo6
gogo6 IPv6 Video Series. Event, presentation and speaker details below:
EVENT
gogoNET LIVE! 3: Enterprise wide Migration. http://gogonetlive.com
November 12 – 14, 2012 at San Jose State University, California
Agenda: http://gogonetlive.com/4105/gogonetlive3-agenda.asp
PRESENTATION
Troubleshooting Dual-Protocol Networks and Systems
Abstract: http://www.gogo6.com/profiles/blogs/my-presentation-at-gogonet-live-3-troubleshooting-in-a-dual-stack
Presentation video: http://www.gogo6.com/video/troubleshooting-dual-protocol-networks-and-systems-by-scott-hogg
Interview video: http://www.gogo6.com/video/interview-with-scott-hogg-at-gogonet-live-3-ipv6-conference
SPEAKER
Scott Hogg - Director of Advanced Technology Services, GTRI
Bio/Profile: http://www.gogo6.com/profile/ScottHogg986
MORE
Learn more about IPv6 on the gogoNET social network
http://www.gogo6.com
Get free IPv6 connectivity with Freenet6
http://www.gogo6.com/Freenet6
Subscribe to the gogo6 IPv6 Channel on YouTube
http://www.youtube.com/subscription_center?add_user=gogo6videos
Follow gogo6 on Twitter
http://twitter.com/gogo6inc
Like gogo6 on Facebook
http://www.facebook.com/pages/IPv6-products-community-and-services-gogo6/161626696777
Big Data Analytics: Applications and Opportunities in On-line Predictive Mode...BigMine
Talk by Usama Fayyad at BigMine12 at KDD12.
Virtually all organizations are having to deal with Big Data in many contexts: marketing, operations, monitoring, performance, and even financial management. Big Data is characterized not just by its size, but by its Velocity and its Variety for which keeping up with the data flux, let alone its analysis, is challenging at best and impossible in many cases. In this talk I will cover some of the basics in terms of infrastructure and design considerations for effective an efficient BigData. In many organizations, the lack of consideration of effective infrastructure and data management leads to unnecessarily expensive systems for which the benefits are insufficient to justify the costs. We will refer to example frameworks and clarify the kinds of operations where Map-Reduce (Hadoop and and its derivatives) are appropriate and the situations where other infrastructure is needed to perform segmentation, prediction, analysis, and reporting appropriately – these being the fundamental operations in predictive analytics. We will thenpay specific attention to on-line data and the unique challenges and opportunities represented there. We cover examples of Predictive Analytics over Big Data with case studies in eCommerce Marketing, on-line publishing and recommendation systems, and advertising targeting: Special focus will be placed on the analysis of on-line data with applications in Search, Search Marketing, and targeting of advertising. We conclude with some technical challenges as well as the solutions that can be used to these challenges in social network data.
What does Big Data mean to your company? We actually now have access to all of the information our enterprise has, and all the information we can get externally, as well. It’s a very big thing to bring all this data together and then the killer blow is the Visualization and subsequent Analysis. That’s how you monetise Big Data!
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/luxoft/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Alexey Rybakov, Senior Director for Embedded Systems at Luxoft, presents the "Deep Learning Beyond Cats and Cars: Developing a Real-life DNN-based Embedded Vision Product for Agriculture, Construction, Medical, or Retail" tutorial at the May 2017 Embedded Vision Summit.
By now we know very well how to design and train a neural network to recognize cats, dogs and cars. But what about real projects — for example, in agriculture, construction, medical, and retail? This how-to talk provides an overview of what it takes to design, train, and fine-tune a real-life DNN-based embedded vision solution. Rybakov explores algorithmic, data set, training, and optimization decisions that take you from proofs-of-concepts to solid, reliable, and highly optimized systems. This material is based on Luxoft's own successes, failures, and lessons learned while implementing embedded vision solutions.
Predicting Consumer Behaviour via HadoopSkillspeed
This Hadoop Tutorial will unravel the complete Introduction to Big Data and Hadoop, HDFS, Predictive Analytics & Applications. Additionally, we will also extensively cover MapReduce & Usage.
At the end, you'll have strong knowledge regarding Predicting Consumer Behaviour via Hadoop.
PPT Agenda
✓ Introduction to Big Data & Hadoop
✓ Hadoop Characteristics
✓ Hadoop Ecosystem
✓ Predictive Analysis
✓ Applications of Predictive Analysis
✓ MapReduce Scenarios
✓ Traditional vs MapReduce Solutions
✓ Advantages of MapReduce
----------
What is Hadoop?
Hadoop is an open source Java-based programming framework that supports the processing of large data sets across clusters of distributed commodity servers. It enables you to store, process and gain insight from big data at low cost and huge scale.
----------
Hadoop has the following components:
1. MapReduce
2. The Hadoop Distributed File System (HDFS)
3. Apache Hive
4. HBase
5. Zookeeper
----------
Applications of Predictive Analysis
1. Analytical Customer Relationship Management (CRM)
2. Decision support systems
3. Customer satisfaction & retention
4. Direct marketing
5. Fraud detection
6. Risk management & assessment
----------
Skillspeed is a live e-learning company focusing on high-technology courses. We provide live instructor led training in BIG Data & Hadoop featuring Realtime Projects, 24/7 Lifetime Support & 100% Placement Assistance.
Email: sales@skillspeed.com
Website: https://www.skillspeed.com
Proud to be Polyglot - Riviera Dev 2015Tugdual Grall
New developers and teams are now polyglot :
- they use multiple programming languages (Java, Javascript, Ruby, ...)
- they use multiple persistence store (RDBMS, NoSQL, Hadoop)
In this talk you will learn about the benefits if being polyglot: use the good language or framework for the good cause, select the good persistence for specific constraints.
This presentation will show how developer could mix the Python, NodeJS, AngularJS, SQL with Drill for Hadoop and MongoDB.
Genome Analysis Pipelines, Big Data Style
Allen Day, Chief Scientist, MapR
Powerful new tools exist for processing large volumes of data quickly across a cluster of networked computers. Typical bioinformatics workflow requirements are well-matched to these tools' capabilities. However, the tool Spark, for example, is not commonly used because many legacy bioinformatics applications make assumptions about their computing environment. These assumptions present a barrier to integrating the tools into more modern computing environments. Fortunately, these barriers are quickly coming down. In this presentation, we'll examine a few operations common to many bioinformatics pipelines, show how they were usually implemented in the past, and how they're being re-implemented right now to save time, money, and make new types of analysis possible. Some code examples will also be provided.
Video Presentation:
https://youtu.be/iwgfjHiHr7Q
Practical Artificial Intelligence: Deep Learning Beyond Cats and CarsAlexey Rybakov
Developing a Real-life DNN-based Embedded Vision Product
for Agriculture, Construction, Medical, or Retail.
What it takes to succeed in a real-life development of a DNN-based embedded vision product? You have your hardware and software building blocks – want’s next? Learn how to plan and design for deep learning, how to select and cascade algorithms, where to get the training data and how much is enough, and how to optimize and troubleshoot your product.
By now we very well know how to design and train a neural network to recognize cats, dogs and cars. But what about real projects — agriculture, construction, medical, retail? This how-to talk will provide an overview of what it takes to design, train, and fine-tune a real-life DNN-based embedded vision solution. Presentation will explore algorithmic, data set, training, and optimization decisions that take you from proofs-of-concepts to solid, reliable, and highly optimized systems. This material is based on our own successes, failures, and other lessons we learnt while implementing embedded vision solutions over the past few years.
Alexey Rybakov is Senior Director with Luxoft, and manages software R&D, consulting and optimization services in artificial intelligence, deep learning, computer vision, and video processing.
Troubleshooting Dual-Protocol Networks and Systems by Scott Hogg at gogoNET L...gogo6
gogo6 IPv6 Video Series. Event, presentation and speaker details below:
EVENT
gogoNET LIVE! 3: Enterprise wide Migration. http://gogonetlive.com
November 12 – 14, 2012 at San Jose State University, California
Agenda: http://gogonetlive.com/4105/gogonetlive3-agenda.asp
PRESENTATION
Troubleshooting Dual-Protocol Networks and Systems
Abstract: http://www.gogo6.com/profiles/blogs/my-presentation-at-gogonet-live-3-troubleshooting-in-a-dual-stack
Presentation video: http://www.gogo6.com/video/troubleshooting-dual-protocol-networks-and-systems-by-scott-hogg
Interview video: http://www.gogo6.com/video/interview-with-scott-hogg-at-gogonet-live-3-ipv6-conference
SPEAKER
Scott Hogg - Director of Advanced Technology Services, GTRI
Bio/Profile: http://www.gogo6.com/profile/ScottHogg986
MORE
Learn more about IPv6 on the gogoNET social network
http://www.gogo6.com
Get free IPv6 connectivity with Freenet6
http://www.gogo6.com/Freenet6
Subscribe to the gogo6 IPv6 Channel on YouTube
http://www.youtube.com/subscription_center?add_user=gogo6videos
Follow gogo6 on Twitter
http://twitter.com/gogo6inc
Like gogo6 on Facebook
http://www.facebook.com/pages/IPv6-products-community-and-services-gogo6/161626696777
Big Data Analytics: Applications and Opportunities in On-line Predictive Mode...BigMine
Talk by Usama Fayyad at BigMine12 at KDD12.
Virtually all organizations are having to deal with Big Data in many contexts: marketing, operations, monitoring, performance, and even financial management. Big Data is characterized not just by its size, but by its Velocity and its Variety for which keeping up with the data flux, let alone its analysis, is challenging at best and impossible in many cases. In this talk I will cover some of the basics in terms of infrastructure and design considerations for effective an efficient BigData. In many organizations, the lack of consideration of effective infrastructure and data management leads to unnecessarily expensive systems for which the benefits are insufficient to justify the costs. We will refer to example frameworks and clarify the kinds of operations where Map-Reduce (Hadoop and and its derivatives) are appropriate and the situations where other infrastructure is needed to perform segmentation, prediction, analysis, and reporting appropriately – these being the fundamental operations in predictive analytics. We will thenpay specific attention to on-line data and the unique challenges and opportunities represented there. We cover examples of Predictive Analytics over Big Data with case studies in eCommerce Marketing, on-line publishing and recommendation systems, and advertising targeting: Special focus will be placed on the analysis of on-line data with applications in Search, Search Marketing, and targeting of advertising. We conclude with some technical challenges as well as the solutions that can be used to these challenges in social network data.
What does Big Data mean to your company? We actually now have access to all of the information our enterprise has, and all the information we can get externally, as well. It’s a very big thing to bring all this data together and then the killer blow is the Visualization and subsequent Analysis. That’s how you monetise Big Data!
The infamous Mallox is the digital Robin Hoods of our time, except they steal from everyone and give to themselves. Since mid-2021, they've been playing hide and seek with unsecured Microsoft SQL servers, encrypting data, and then graciously offering to give it back for a modest Bitcoin donation.
Mallox decided to go shopping for new malware toys, adding the Remcos RAT, BatCloak, and a sprinkle of Metasploit to their collection. They're now playing a game of "Catch me if you can" with antivirus software, using their FUD obfuscator packers to turn their ransomware into the digital equivalent of a ninja.
-------
This document provides a analysis of the Target Company ransomware group, also known as Smallpox, which has been rapidly evolving since its first identification in June 2021.
The analysis delves into various aspects of the group's operations, including its distinctive practice of appending targeted organizations' names to encrypted files, the evolution of its encryption algorithms, and its tactics for establishing persistence and evading defenses.
The insights gained from this analysis are crucial for informing defense strategies and enhancing preparedness against such evolving cyber threats.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
КАТЕРИНА АБЗЯТОВА «Ефективне планування тестування ключові аспекти та практ...QADay
Lviv Direction QADay 2024 (Professional Development)
КАТЕРИНА АБЗЯТОВА
«Ефективне планування тестування ключові аспекти та практичні поради»
https://linktr.ee/qadayua
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.