Loom is an open-source Clojure library that provides many graph algorithms and visualizations. Loom's graph API focuses on generality and simplicity of integration, which enables other graph representations to be ported to Loom. In this talk, we'll look at how Loom's API and graph implementations evolved in the past 2 years since being presented at Clojure/West 2014. We'll also discuss complexities of maintaining an open-source library.
Here is a complete discription for students who are studying initial stages of Weaving
Thet may be able to understand the different types of Looms and End product from these Looms
Loom is machine or device which is used to produce woven fabric. It is the central point of whole process of cloth production. In other word, a loom is a mechanism or tool used for weaving yarn and thread into textiles. Looms vary in a wide assortment of sizes. They come in huge free standing hand looms, tiny hand-held frames, to vast automatic mechanical tools. A loom can as well pertain to an electric line construction like that of a wiring loom. The main task of looms is to clutch the twist threads under pressure to enable the progress of interweaving of the woof strands. The loom's system and exact form can differ to some extent; however it still performs the basic application.
Software Supply Chains for DevOps @ InfoQ Live 2021Aysylu Greenberg
Several recent high-profile security incidents were due to compromised software supply chains. Software Supply Chain is a collective term used to describe the stages of software lifecycle from source to deployment through CI/CD pipelines, and all the static and dynamic analyses in between. In the world of microservices and cloud computing, trust in your company’s supply chain is critical, as most of the tooling and dependencies are from open source and vendor projects.
When the code hits production, it’s essential to have enough observability to detect and investigate the problem and get to the root cause and mitigation as quickly as possible. With software supply chain attacks, not only is the newly deployed code under suspicion, but also all the tooling used to produce it becomes a potential attack vector, so an efficient and effective way to verify the integrity of the supply chain is paramount.
This talk will discuss what information needs to be collected to allow DevOps to inspect and verify the integrity of the supply chain, the challenges of having the right level of detail to reduce mean-time-to-detection and mean-time-to-understanding, some of the existing solutions and open problems in this space.
Here is a complete discription for students who are studying initial stages of Weaving
Thet may be able to understand the different types of Looms and End product from these Looms
Loom is machine or device which is used to produce woven fabric. It is the central point of whole process of cloth production. In other word, a loom is a mechanism or tool used for weaving yarn and thread into textiles. Looms vary in a wide assortment of sizes. They come in huge free standing hand looms, tiny hand-held frames, to vast automatic mechanical tools. A loom can as well pertain to an electric line construction like that of a wiring loom. The main task of looms is to clutch the twist threads under pressure to enable the progress of interweaving of the woof strands. The loom's system and exact form can differ to some extent; however it still performs the basic application.
Software Supply Chains for DevOps @ InfoQ Live 2021Aysylu Greenberg
Several recent high-profile security incidents were due to compromised software supply chains. Software Supply Chain is a collective term used to describe the stages of software lifecycle from source to deployment through CI/CD pipelines, and all the static and dynamic analyses in between. In the world of microservices and cloud computing, trust in your company’s supply chain is critical, as most of the tooling and dependencies are from open source and vendor projects.
When the code hits production, it’s essential to have enough observability to detect and investigate the problem and get to the root cause and mitigation as quickly as possible. With software supply chain attacks, not only is the newly deployed code under suspicion, but also all the tooling used to produce it becomes a potential attack vector, so an efficient and effective way to verify the integrity of the supply chain is paramount.
This talk will discuss what information needs to be collected to allow DevOps to inspect and verify the integrity of the supply chain, the challenges of having the right level of detail to reduce mean-time-to-detection and mean-time-to-understanding, some of the existing solutions and open problems in this space.
Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. Kritis enforces deploy-time security policies that ensures only trusted container images are deployed on kubernetes to your cluster. With Kritis, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. Kritis enables tighter control over your container environment by ensuring only verified images are integrated into production.
Talk outline:
- Introduction to the concept of binary authorization
- Live demo of using Kritis and Grafeas for deploying images with confidence in Kubernetes
- Grafeas and Kritis roadmap
At the end, attendees will gain solid understanding on the process of binary authorization and how to incorporate it in their build and deployment pipelines
Software Supply Chain Management with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Software Supply Chain Observability with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas (https://grafeas.io/) is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis (https://github.com/grafeas/kritis) is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Software Supply Chain Management with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Already have a system that serves user traffic and it has become so popular that it's hitting scaling limitations? It's probably time to upgrade its architecture or move its data to a more scalable database. Learn how to do this upgrade with zero downtime and no user visible effects in my talk!
The paper describes an interesting approach to data replication which allows for finer control over the probability of data loss occurrence and the amount of data loss during such an event. In addition, we'll discuss a technique for moving randomization from runtime to initialization to achieve the same benefits. After the discussion of the paper's contributions, we'll turn to pragmatic aspects of this approach.
Distributed systems in practice, in theory (ScaleConf Colombia)Aysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
MesosCon Asia Keynote: Replacing a Jet Engine Mid-flightAysylu Greenberg
Once a system becomes successful, releasing fixes and improvements to its backends without affecting user productivity becomes more challenging. Over time the need arises to re-think the architecture of the system and release its implementation to better support the most popular (and potentially unanticipated) use cases and growth. In globally distributed systems, like the distributed build system at Google which serves millions of requests per day, the luxury of downtime is not an option. In this talk, we’ll look at the general patterns that allow us to replace the previous production system with a new architecture, with no downtime or user visible effects.
Distributed systems in practice, in theory (JAX London)Aysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we’ll discuss some of these patterns from systems I’ve worked on at Google and the related work that provide insights into the motivations behind them.
Building A Distributed Build System at Google Scale (StrangeLoop 2016)Aysylu Greenberg
It's hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we'll discuss the evolution of build systems that leads to distributed build systems. Then, we'll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We'll conclude with the discussion of general challenges of migrating systems from one architecture to another.
QCon NYC: Distributed systems in practice, in theoryAysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
Building a Distributed Build System at Google ScaleAysylu Greenberg
It’s hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we’ll discuss the evolution of build systems that leads to distributed build systems, like Google's BuildRabbit. Then, we’ll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We’ll conclude with the discussion of general challenges of migrating systems from one architecture to another.
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
Probabilistic Accuracy Bounds @ Papers We Love SFAysylu Greenberg
Aysylu Greenberg presents the Probabilistic Accuracy Bounds for Fault-Tolerant Computations that Discard Tasks paper (http://people.csail.mit.edu/rinard/paper/ics06.pdf )
Aysylu tells us "As our systems get more complex and expensive to operate, tradeoffs between accuracy and performance gains become more relevant. The paper demonstrates a new approach to analyzing programs where we can train statistical models to bound the error as tasks fail. This allows us to be more resilient in the face of system failures in many applications that can tolerate "good enough" results. This area of research is particularly dear to my heart as I was first exposed to it while taking a compiler engineering course at MIT which the author, Prof. Martin Rinard, taught. The probabilistic high-performance computing captured my interest because it challenges the widely accepted expectation that for-loops are deterministic."
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Loom & Functional Graphs in Clojure @ LambdaConf 2015Aysylu Greenberg
Graphs are ubiquitous data structures, and the algorithms for analyzing them are fascinating. Loom is an open-source Clojure library that provides many graph algorithms and visualizations. We will discuss how graphs are represented in a functional world, bridge the gap between procedural description of algorithms and their functional implementation, and learn about the way Loom integrates with other graph representations.
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks for distributed systems. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Benchmarking: You're Doing It Wrong (StrangeLoop 2014)Aysylu Greenberg
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. Kritis enforces deploy-time security policies that ensures only trusted container images are deployed on kubernetes to your cluster. With Kritis, you can require images to be signed by trusted authorities during the development process and then enforce signature validation when deploying. Kritis enables tighter control over your container environment by ensuring only verified images are integrated into production.
Talk outline:
- Introduction to the concept of binary authorization
- Live demo of using Kritis and Grafeas for deploying images with confidence in Kubernetes
- Grafeas and Kritis roadmap
At the end, attendees will gain solid understanding on the process of binary authorization and how to incorporate it in their build and deployment pipelines
Software Supply Chain Management with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Software Supply Chain Observability with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas (https://grafeas.io/) is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis (https://github.com/grafeas/kritis) is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Software Supply Chain Management with Grafeas and KritisAysylu Greenberg
Software Supply Chain is a collective term used to describe the continuous integration and delivery pipelines. In addition, it refers to the observability tools that track what happens to a piece of code from the moment it’s in the source code to when it gets deployed, and everywhere in between. Grafeas is an open-source artifact metadata API to audit and govern your software supply chain. It's built as an industry standard for storing and retrieving metadata about software resources. Kritis is an open-source solution for securing your software supply chain for Kubernetes applications. It enforces deploy-time security policies using Grafeas.
This talk will discuss the goals for each of the two open source projects, dive into the examples of how they can be used to secure your company's software supply chain, and conclude with the details of current and future development.
Already have a system that serves user traffic and it has become so popular that it's hitting scaling limitations? It's probably time to upgrade its architecture or move its data to a more scalable database. Learn how to do this upgrade with zero downtime and no user visible effects in my talk!
The paper describes an interesting approach to data replication which allows for finer control over the probability of data loss occurrence and the amount of data loss during such an event. In addition, we'll discuss a technique for moving randomization from runtime to initialization to achieve the same benefits. After the discussion of the paper's contributions, we'll turn to pragmatic aspects of this approach.
Distributed systems in practice, in theory (ScaleConf Colombia)Aysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
MesosCon Asia Keynote: Replacing a Jet Engine Mid-flightAysylu Greenberg
Once a system becomes successful, releasing fixes and improvements to its backends without affecting user productivity becomes more challenging. Over time the need arises to re-think the architecture of the system and release its implementation to better support the most popular (and potentially unanticipated) use cases and growth. In globally distributed systems, like the distributed build system at Google which serves millions of requests per day, the luxury of downtime is not an option. In this talk, we’ll look at the general patterns that allow us to replace the previous production system with a new architecture, with no downtime or user visible effects.
Distributed systems in practice, in theory (JAX London)Aysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we’ll discuss some of these patterns from systems I’ve worked on at Google and the related work that provide insights into the motivations behind them.
Building A Distributed Build System at Google Scale (StrangeLoop 2016)Aysylu Greenberg
It's hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we'll discuss the evolution of build systems that leads to distributed build systems. Then, we'll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We'll conclude with the discussion of general challenges of migrating systems from one architecture to another.
QCon NYC: Distributed systems in practice, in theoryAysylu Greenberg
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
Building a Distributed Build System at Google ScaleAysylu Greenberg
It’s hard to imagine a modern developer workflow without a sufficiently advanced build system: Make, Gradle, Maven, Rake, and many others. In this talk, we’ll discuss the evolution of build systems that leads to distributed build systems, like Google's BuildRabbit. Then, we’ll dive into how we can build a scalable system that is fast and resilient, with examples from Google. We’ll conclude with the discussion of general challenges of migrating systems from one architecture to another.
Modern systems in production rely on decades of computer science research. Over time, new architectural patterns emerge that enable more resilient and robust systems. In this talk, we'll discuss some of these patterns from systems I've worked on at Google and the related work that provide insights into the motivations behind them.
Probabilistic Accuracy Bounds @ Papers We Love SFAysylu Greenberg
Aysylu Greenberg presents the Probabilistic Accuracy Bounds for Fault-Tolerant Computations that Discard Tasks paper (http://people.csail.mit.edu/rinard/paper/ics06.pdf )
Aysylu tells us "As our systems get more complex and expensive to operate, tradeoffs between accuracy and performance gains become more relevant. The paper demonstrates a new approach to analyzing programs where we can train statistical models to bound the error as tasks fail. This allows us to be more resilient in the face of system failures in many applications that can tolerate "good enough" results. This area of research is particularly dear to my heart as I was first exposed to it while taking a compiler engineering course at MIT which the author, Prof. Martin Rinard, taught. The probabilistic high-performance computing captured my interest because it challenges the widely accepted expectation that for-loops are deterministic."
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Loom & Functional Graphs in Clojure @ LambdaConf 2015Aysylu Greenberg
Graphs are ubiquitous data structures, and the algorithms for analyzing them are fascinating. Loom is an open-source Clojure library that provides many graph algorithms and visualizations. We will discuss how graphs are represented in a functional world, bridge the gap between procedural description of algorithms and their functional implementation, and learn about the way Loom integrates with other graph representations.
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks for distributed systems. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Benchmarking: You're Doing It Wrong (StrangeLoop 2014)Aysylu Greenberg
Knowledge of how to set up good benchmarks is invaluable in understanding performance of the system. Writing correct and useful benchmarks is hard, and verification of the results is difficult and prone to errors. When done right, benchmarks guide teams to improve the performance of their systems. When done wrong, hours of effort may result in a worse performing application, upset customers or worse! In this talk, we will discuss what you need to know to write better benchmarks. We will look at examples of bad benchmarks and learn about what biases can invalidate the measurements, in the hope of correctly applying our new-found skills and avoiding such pitfalls in the future.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Understanding Nidhi Software Pricing: A Quick Guide 🌟
Choosing the right software is vital for Nidhi companies to streamline operations. Our latest presentation covers Nidhi software pricing, key factors, costs, and negotiation tips.
📊 What You’ll Learn:
Key factors influencing Nidhi software price
Understanding the true cost beyond the initial price
Tips for negotiating the best deal
Affordable and customizable pricing options with Vector Nidhi Software
🔗 Learn more at: www.vectornidhisoftware.com/software-for-nidhi-company/
#NidhiSoftwarePrice #NidhiSoftware #VectorNidhi
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
AI Genie Review: World’s First Open AI WordPress Website CreatorGoogle
AI Genie Review: World’s First Open AI WordPress Website Creator
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-genie-review
AI Genie Review: Key Features
✅Creates Limitless Real-Time Unique Content, auto-publishing Posts, Pages & Images directly from Chat GPT & Open AI on WordPress in any Niche
✅First & Only Google Bard Approved Software That Publishes 100% Original, SEO Friendly Content using Open AI
✅Publish Automated Posts and Pages using AI Genie directly on Your website
✅50 DFY Websites Included Without Adding Any Images, Content Or Doing Anything Yourself
✅Integrated Chat GPT Bot gives Instant Answers on Your Website to Visitors
✅Just Enter the title, and your Content for Pages and Posts will be ready on your website
✅Automatically insert visually appealing images into posts based on keywords and titles.
✅Choose the temperature of the content and control its randomness.
✅Control the length of the content to be generated.
✅Never Worry About Paying Huge Money Monthly To Top Content Creation Platforms
✅100% Easy-to-Use, Newbie-Friendly Technology
✅30-Days Money-Back Guarantee
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIGenieApp #AIGenieBonus #AIGenieBonuses #AIGenieDemo #AIGenieDownload #AIGenieLegit #AIGenieLiveDemo #AIGenieOTO #AIGeniePreview #AIGenieReview #AIGenieReviewandBonus #AIGenieScamorLegit #AIGenieSoftware #AIGenieUpgrades #AIGenieUpsells #HowDoesAlGenie #HowtoBuyAIGenie #HowtoMakeMoneywithAIGenie #MakeMoneyOnline #MakeMoneywithAIGenie
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
58. Thanks to Loom contributors
• John Szakmeister
• Robert Lachlan
• Stephen Kocken2edt
• Alex Engelberg
• Kevin Downey
• Aaron Brooks
• Mark Engelberg
• Daniel Shapero
• Daniel Gregoire
• Tom Hancock
• Horst Duchêne
• Ashton Kemerling
• Jus2n Kramer
• Jony Hudson
• Guru Devanla
• Joshua Davey
• Sung Pae
• François Rey
• Georgi Shopov
• Mak Revelle
• Zack Maril
• Daniel Compton
• Reid D McKenzie
• ZTO
• Aysylu Greenberg
• Paul Snyder