Intel hosted a seminar on Managing Big Data in Life Sciences and Healthcare at the Broad Institute in Cambridge, MA on 9/6/2012. I was invited to give a talk on how BioTeam, Inc sees and is approaching the Big Data Mangement problem being faced by Life Sciences in the wake of modern genomics and next-generation sequencing.
This document discusses scaling deep learning for artificial intelligence applications. It describes how deep learning is being used to solve challenging problems in areas like computer vision, speech recognition, and medical diagnostics. Training deep neural networks is a high-performance computing problem that requires large models, massive datasets, and efficient parallel training techniques. The author discusses their work using thousands of GPUs across many nodes to train very large neural networks and obtain state-of-the-art results in domains like speech recognition.
This document discusses NTUC Income, a Singaporean cooperative insurance company, and its adoption of a new IT system called eBao LifeSystem. Some key points:
- NTUC Income was formed in 1970 and offers various insurance policies, with over 2 million customers. It previously used an aging HP 3000 mainframe computer system.
- In 2009, NTUC Income implemented eBao LifeSystem, a policy administration system from ebao Technology. This provided improved integration, customer service, and faster product launches.
- The new system helped NTUC Income realize 50% savings in time and costs while supporting agents and customers online. However, training employees and transitioning to paperless processes posed initial difficulties.
Vimal Gupta presents on data compression. Data compression reduces the size of files through encoding to use fewer bits. It is beneficial for storage space, transmission time, and speed. There are different types of redundancies like spatial and temporal that compression exploits. Lossless compression preserves all data while lossy compression results in some loss of quality but higher compression ratios. Common lossless methods are run-length coding and Huffman coding, while lossy uses JPEG, MP3, and MPEG. Textbooks on the topic are also listed.
This document discusses deduplication, including what it is, different types of deduplication, where it occurs in the data storage process, advantages and disadvantages, expected storage reductions, and results from an experimental home deduplication. It defines deduplication as eliminating duplicate data and notes that while the basic premise is the same between vendors, implementations can vary. The document also provides examples of storage reductions seen in case studies and an experiment showing significant space savings from deduplicating personal files and software downloads.
Why 2015 is the Year of Copy Data - What are the requirements?Storage Switzerland
Data is the new currency of business. To fully protect and exploit this data requires that it be copied to various backend processes like data protection, compliance and data analytics. The problem is that primary data is growing by 35 to 50% per year, the need to copy all this data can exacerbate this problem by 10X! Data centers have to find a way to mitigate this problem but still drive full value from backend processes.
In 2015 IT professionals will be hearing a lot about how copy data management will address this problem. But all copy data solutions are not created equal. Listen to experts from Storage Switzerland and Catalogic to define exactly what copy data is and what IT professionals should expect from these solutions.
The document summarizes challenges faced by early adopters of next generation DNA sequencing technology and potential solutions. It discusses issues such as high upfront costs of sequencers, data storage and management difficulties due to the large amount of data generated, networking and data transfer problems, and lack of laboratory information management systems. Potential solutions proposed include using virtualization and cloud computing through Amazon Web Services, developing a wiki-based laboratory information management system, simplifying storage architectures, and automated data capture and management.
Brokering Data: Accelerating Data Evaluation with Databricks White LabelDatabricks
As the data-as-a-service ecosystem continues to evolve, data brokers are faced with an unprecedented challenge – demonstrating the value of their data. Successfully crafting and selling a compelling data product relies on a broker’s ability to differentiate their product from the rest of the market. In smaller or static datasets, measures like row count and cardinality can speak volumes. However, when datasets are in the terabytes or petabytes though – differentiation becomes much difficult. On top of that “data quality” is a somewhat ill-defined term and the definition of a “high quality dataset” can change daily or even hourly.
This breakout session will describe Veraset’s partnership with Databricks, and how we have white labeled Databricks to showcase and accelerate the value of our data. We’ll discuss the challenges that data brokers have faced to date and some of the primitives of our businesses that have guided our direction thus far. We will also actively demo our white label instance and notebook to show how we’ve been able to provide key insights to our customers and reduce the TTFB of data onboarding.
This document discusses scaling deep learning for artificial intelligence applications. It describes how deep learning is being used to solve challenging problems in areas like computer vision, speech recognition, and medical diagnostics. Training deep neural networks is a high-performance computing problem that requires large models, massive datasets, and efficient parallel training techniques. The author discusses their work using thousands of GPUs across many nodes to train very large neural networks and obtain state-of-the-art results in domains like speech recognition.
This document discusses NTUC Income, a Singaporean cooperative insurance company, and its adoption of a new IT system called eBao LifeSystem. Some key points:
- NTUC Income was formed in 1970 and offers various insurance policies, with over 2 million customers. It previously used an aging HP 3000 mainframe computer system.
- In 2009, NTUC Income implemented eBao LifeSystem, a policy administration system from ebao Technology. This provided improved integration, customer service, and faster product launches.
- The new system helped NTUC Income realize 50% savings in time and costs while supporting agents and customers online. However, training employees and transitioning to paperless processes posed initial difficulties.
Vimal Gupta presents on data compression. Data compression reduces the size of files through encoding to use fewer bits. It is beneficial for storage space, transmission time, and speed. There are different types of redundancies like spatial and temporal that compression exploits. Lossless compression preserves all data while lossy compression results in some loss of quality but higher compression ratios. Common lossless methods are run-length coding and Huffman coding, while lossy uses JPEG, MP3, and MPEG. Textbooks on the topic are also listed.
This document discusses deduplication, including what it is, different types of deduplication, where it occurs in the data storage process, advantages and disadvantages, expected storage reductions, and results from an experimental home deduplication. It defines deduplication as eliminating duplicate data and notes that while the basic premise is the same between vendors, implementations can vary. The document also provides examples of storage reductions seen in case studies and an experiment showing significant space savings from deduplicating personal files and software downloads.
Why 2015 is the Year of Copy Data - What are the requirements?Storage Switzerland
Data is the new currency of business. To fully protect and exploit this data requires that it be copied to various backend processes like data protection, compliance and data analytics. The problem is that primary data is growing by 35 to 50% per year, the need to copy all this data can exacerbate this problem by 10X! Data centers have to find a way to mitigate this problem but still drive full value from backend processes.
In 2015 IT professionals will be hearing a lot about how copy data management will address this problem. But all copy data solutions are not created equal. Listen to experts from Storage Switzerland and Catalogic to define exactly what copy data is and what IT professionals should expect from these solutions.
The document summarizes challenges faced by early adopters of next generation DNA sequencing technology and potential solutions. It discusses issues such as high upfront costs of sequencers, data storage and management difficulties due to the large amount of data generated, networking and data transfer problems, and lack of laboratory information management systems. Potential solutions proposed include using virtualization and cloud computing through Amazon Web Services, developing a wiki-based laboratory information management system, simplifying storage architectures, and automated data capture and management.
Brokering Data: Accelerating Data Evaluation with Databricks White LabelDatabricks
As the data-as-a-service ecosystem continues to evolve, data brokers are faced with an unprecedented challenge – demonstrating the value of their data. Successfully crafting and selling a compelling data product relies on a broker’s ability to differentiate their product from the rest of the market. In smaller or static datasets, measures like row count and cardinality can speak volumes. However, when datasets are in the terabytes or petabytes though – differentiation becomes much difficult. On top of that “data quality” is a somewhat ill-defined term and the definition of a “high quality dataset” can change daily or even hourly.
This breakout session will describe Veraset’s partnership with Databricks, and how we have white labeled Databricks to showcase and accelerate the value of our data. We’ll discuss the challenges that data brokers have faced to date and some of the primitives of our businesses that have guided our direction thus far. We will also actively demo our white label instance and notebook to show how we’ve been able to provide key insights to our customers and reduce the TTFB of data onboarding.
Establishing Release Quality Levels and Release Acceptance TestsLuke Hohmann
This presentation introduces the critically important concept of release quality levels: predefined measures of quality that an Agile team can hit. It draws from Jim Highsmith's excellent work on the danger of low intrinsic quality. It includes examples of release quality levels established used by VeriSign in their Agile processes.
Email Management Using Oracle WebCenter Content RecordsRaoul Miller
This document discusses strategies for managing email retention (ROT) and provides an overview of an efficient email management strategy using Oracle WebCenter Content Records Management. It notes that typical strategies like keeping everything, using quotas, or deleting everything do not work. An efficient strategy means proper retention, minimizing storage usage, and an easy user experience. The document outlines principles of classifying email into transient, working, and records categories and automatically disposing of redundant, outdated, or trivial email after short retention periods. It also discusses integrating email management with Oracle to properly retain and govern important records content according to policies. The solution was demonstrated to improve the user experience and address infrastructure needs.
GC Tuning in the HotSpot Java VM - a FISL 10 PresentationLudovic Poitou
This document provides a summary of a presentation on garbage collection tuning in the Java HotSpot Virtual Machine. It introduces the presenters and their backgrounds in GC and Java performance. The main points covered are that GC tuning is an art that requires experience, and tuning advice is provided for the young generation, Parallel GC, and Concurrent Mark Sweep GC. Monitoring GC performance and avoiding fragmentation are also discussed.
Designing Cloud Backup to reduce DR downtime for IT ProfessionalsStorage Switzerland
IT professionals know that the ultimate test of the data protection process is performing a recovery; whether a single server recovery or recovering an entire data center. That said, we are all guilty of focusing too much on the backup process rather than trying to reduce the amount of downtime following a system failure. In this webinar, George Crump, founder of Storage Switzerland and Ian McChord from Datto will provide you with the five critical questions you need to answer in order to reduce or even eliminate downtime.
Webinar: Designing Storage and Apps to Enable Data MonetizationStorage Switzerland
Join Storage Switzerland and Caringo for the on demand webinar, “Designing Storage to Enable Data Monetization”. Our experts discuss unstructured data monetization use cases, how organizations are trying to band-aide legacy storage infrastructures to work in those cases and how a modern storage system can provide the answer IT is looking for.
This document summarizes information about hard disk drive manufacturer Seagate Technology. It discusses Seagate's history, products, revenue, industry structure, threats from solid state drives, and potential strategic options going forward such as focusing more on data centers or network-attached storage devices.
While considering microfiche scanning, consider certain key factors such as associated costs, time taken, microfiche’s condition, size and quantity, etc.
CLIMB System Introduction Talk - CLIMB LaunchTom Connor
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Big data refers to large and complex datasets that are difficult to process using traditional database management tools. This document discusses applications of big data in engineering and design. It describes how big data is characterized by its volume, velocity, and variety. Examples are given of how big data is used in engineering companies like Boeing to design and manufacture new products. The document also discusses how big data is important for innovation, customer satisfaction, and competitive advantages. It explores how cloud computing and tools like product lifecycle management can help companies manage and analyze big data.
The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big...inside-BigData.com
In this Deck from the 2018 Swiss HPC Conference, Dave Turek from IBM presents: The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big Data.
"There is a shift underway where HPC is beginning to be addressed with novel techniques and technologies including cognitive and analytic approaches to HPC problems and the arrival of the first quantum systems. This talk will showcase how IBM is merging cognitive, analytics, and quantum with classic simulation and modeling to create a new path for computational science."
Watch the video: https://wp.me/p3RLHQ-ik7
Learn more: http://ibm.com
and
http://www.hpcadvisorycouncil.com/events/2018/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Microfilm or Digitize: Which is Right for You?Brad Houston
Presentation on reformatting options for active and inactive records. Originally presented at the 2009 Annual Conference of the International Institute of Municipal Clerks, May 20, 2009
Four Reasons Why Your Backup & Recovery Hardware will Break by 2020Storage Switzerland
While backup software vendors continue to innovate, hardware vendors have been resting on their deduplication laurels. In the meantime, the amount of data that organizations store continues to grow at an alarming pace and the backup and disaster recovery expectations of users are higher than ever. Most backup solutions today simply will not be able to keep pace with these realities. If organizations don't act now to address the weaknesses in their backup hardware, they will not be able to meet organizational demands by 2020. In this webinar, Cloudian and Storage Switzerland discuss three areas where IT professionals need to expect more from their backup hardware and where they should demand less.
Big data is large and complex data sets that are difficult to process using traditional database management tools. There are three dimensions of big data - volume, velocity, and variety. Big data is increasingly important for engineering and design applications like Boeing's 787 aircraft. It allows companies to improve products, understand customers better, and gain competitive advantages. Cloud computing is useful for storing and processing large volumes of big data. Big data is also significant for ecommerce, product lifecycle management, and other business areas.
"Frontline Battles with DDoS: Best practices and Lessons Learned", Igor IvaniukFwdays
At this talk we will discuss DDoS protection tools and best practices, discuss network architectures and what AWS has to offer. Also, we will look into one of the largest DDoS attacks on Ukrainian infrastructure that happened in February 2022. We'll see, what techniques helped to keep the web resources available for Ukrainians and how AWS improved DDoS protection for all customers based on Ukraine experience
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
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IT professionals know that the ultimate test of the data protection process is performing a recovery; whether a single server recovery or recovering an entire data center. That said, we are all guilty of focusing too much on the backup process rather than trying to reduce the amount of downtime following a system failure. In this webinar, George Crump, founder of Storage Switzerland and Ian McChord from Datto will provide you with the five critical questions you need to answer in order to reduce or even eliminate downtime.
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Join Storage Switzerland and Caringo for the on demand webinar, “Designing Storage to Enable Data Monetization”. Our experts discuss unstructured data monetization use cases, how organizations are trying to band-aide legacy storage infrastructures to work in those cases and how a modern storage system can provide the answer IT is looking for.
This document summarizes information about hard disk drive manufacturer Seagate Technology. It discusses Seagate's history, products, revenue, industry structure, threats from solid state drives, and potential strategic options going forward such as focusing more on data centers or network-attached storage devices.
While considering microfiche scanning, consider certain key factors such as associated costs, time taken, microfiche’s condition, size and quantity, etc.
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Big data refers to large and complex datasets that are difficult to process using traditional database management tools. This document discusses applications of big data in engineering and design. It describes how big data is characterized by its volume, velocity, and variety. Examples are given of how big data is used in engineering companies like Boeing to design and manufacture new products. The document also discusses how big data is important for innovation, customer satisfaction, and competitive advantages. It explores how cloud computing and tools like product lifecycle management can help companies manage and analyze big data.
The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big...inside-BigData.com
In this Deck from the 2018 Swiss HPC Conference, Dave Turek from IBM presents: The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big Data.
"There is a shift underway where HPC is beginning to be addressed with novel techniques and technologies including cognitive and analytic approaches to HPC problems and the arrival of the first quantum systems. This talk will showcase how IBM is merging cognitive, analytics, and quantum with classic simulation and modeling to create a new path for computational science."
Watch the video: https://wp.me/p3RLHQ-ik7
Learn more: http://ibm.com
and
http://www.hpcadvisorycouncil.com/events/2018/swiss-workshop/agenda.php
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Microfilm or Digitize: Which is Right for You?Brad Houston
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While backup software vendors continue to innovate, hardware vendors have been resting on their deduplication laurels. In the meantime, the amount of data that organizations store continues to grow at an alarming pace and the backup and disaster recovery expectations of users are higher than ever. Most backup solutions today simply will not be able to keep pace with these realities. If organizations don't act now to address the weaknesses in their backup hardware, they will not be able to meet organizational demands by 2020. In this webinar, Cloudian and Storage Switzerland discuss three areas where IT professionals need to expect more from their backup hardware and where they should demand less.
Big data is large and complex data sets that are difficult to process using traditional database management tools. There are three dimensions of big data - volume, velocity, and variety. Big data is increasingly important for engineering and design applications like Boeing's 787 aircraft. It allows companies to improve products, understand customers better, and gain competitive advantages. Cloud computing is useful for storing and processing large volumes of big data. Big data is also significant for ecommerce, product lifecycle management, and other business areas.
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Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
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UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
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UiPath Business Automation Platform
Explore automation development with UiPath Studio
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seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
What is an RPA CoE? Session 2 – CoE RolesDianaGray10
In this session, we will review the players involved in the CoE and how each role impacts opportunities.
Topics covered:
• What roles are essential?
• What place in the automation journey does each role play?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems