Where the Wild Things Are

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Runolfsson LLC

How to Download Just Copy Paste the Link Into Your Browser https://cdn.bkc1a.club/r/BR6sY6 Where the Wild Things Are

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Migrating your customer service data from Gorgias to Re:amaze can greatly enhance your support operations, but it requires detailed planning and precise execution. "A Guideline to Gorgias to Re:amaze Data Migration" is crafted to help businesses manage this transition smoothly and efficiently. This comprehensive guide ensures that all aspects of the data migration process are covered, from initial planning to post-migration support.

A Guideline to Gorgias to to Re:amaze Data Migration

Help Desk Migration

Top Mobile App Development Companies 2024

XongoLab Technologies LLP

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Eric Wang (Software Engineer, @Uber) Uber has numerous deep learning models, most of which are highly complex with many layers and a vast number of features. Understanding how these models work is challenging and demands significant resources to experiment with various training algorithms and feature sets. With ML explainability, the ML team aims to bring transparency to these models, helping to clarify their predictions and behavior. This transparency also assists the operations and legal teams in explaining the reasons behind specific prediction outcomes. In this talk, Eric Wang will discuss the methods Uber used for explaining deep learning models and how we integrated these methods into the Uber AI Michelangelo ecosystem to support offline explaining.

AI/ML Infra Meetup | ML explainability in Michelangelo

Alluxio, Inc.

This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.

top nidhi software solution freedownload

vrstrong314

Discover the numerous advantages of utilizing employee monitoring software in your organization with our comprehensive PDF guide. Learn how this technology can enhance productivity, streamline operations, and improve overall efficiency in the workplace. Explore the benefits of employee monitoring software and unlock its potential to drive success for your business. Download our PDF to gain valuable insights into maximizing the benefits of this powerful tool.

Benefits of Employee Monitoring Software

Mera Monitor

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

WSO2

Skilrock is an igaming technology platform & lottery software provider to the Global Lottery & Gaming Industry with a strong presence across continents. As part of the $2.4 billion SUGAL & DAMANI GROUP, Skilrock leverages the group's extensive domain experience to offer the INFINITI gaming platform - a true Omni-Channel, Omni-Gaming Platform that can serve any lottery or gaming operator anywhere in the world. INFINITI serves Retail, iGaming & Self Service Channels with equal ease and at the same time supports a wide variety of games like Lotto, Keno, Bingo, Instant, Sports, Poker, Rummy, Casino and Slots. Our popular solutions are Scratch Lottery, Retail Lottery, Instant Lottery and other igaming and lottery solutions.

iGaming Platform & Lottery Solutions by Skilrock

Skilrock Technologies

Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload. Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.

Designing for Privacy in Amazon Web Services

KrzysztofKkol1

Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ? Venez le découvrir lors de cette session ignite

Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...

Anthony Dahanne

This is a classic migration case study (the past, current and the future) at scale from a world-wide company transitioning from Confluent Platform and Confluent Cloud to self-managed Apache Kafka on Kubernetes using Strimzi. At Maersk, we have been architecting, designing and implementing our 3rd generation Event Streaming Platform. This platform is based on Kubernetes in Azure and using Strimzi to operate Apache Kafka at large scale, highly reliable, segregating data based on isolated use cases. Our 2nd generation was based on OnPrem Confluent Platform and Confluent Cloud and this presentation is the story of this migration and reasoning behind it. Furthermore, we would get into details on how we monitor (Grafana, Prometheus), alert (GoAlert and alert as code), operate and provide self-service solutions on top of Strimzi to enable business critical application in Maersk, implemented in GoLang using the GitOps deployment model with Flux and Kustomization among others. Finally, if time allows we will end with a demo of an open-source self service tool to monitor and explore the cluster with most wanted features such as topic message browsing and configuring and restarting connectors.

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

steffenkarlsson2

AI/ML Infra Meetup | Perspective on Deep Learning Framework

Alluxio, Inc.

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Lu Qiu (Data & AI Platform Tech Lead, @Alluxio) - Siyuan Sheng (Senior Software Engineer, @Alluxio) Speed and efficiency are two requirements for the underlying infrastructure for machine learning model development. Data access can bottleneck end-to-end machine learning pipelines as training data volume grows and when large model files are more commonly used for serving. For instance, data loading can constitute nearly 80% of the total model training time, resulting in less than 30% GPU utilization. Also, loading large model files for deployment to production can be slow because of slow network or storage read operations. These challenges are prevalent when using popular frameworks like PyTorch, Ray, or HuggingFace, paired with cloud object storage solutions like S3 or GCS, or downloading models from the HuggingFace model hub. In this presentation, Lu and Siyuan will offer comprehensive insights into improving speed and GPU utilization for model training and serving. You will learn: - The data loading challenges hindering GPU utilization - The reference architecture for running PyTorch and Ray jobs while reading data from S3, with benchmark results of training ResNet50 and BERT - Real-world examples of boosting model performance and GPU utilization through optimized data access

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

Alluxio, Inc.

INGKA DIGITAL: Linked Metadata by Design

Neo4j

AI/ML Infra Meetup May. 23, 2024 Organized by Alluxio For more Alluxio Events: https://www.alluxio.io/events/ Speaker: - Junchen Jiang (Assistant Professor of Computer Science, @University of Chicago) Prefill in LLM inference is known to be resource-intensive, especially for long LLM inputs. While better scheduling can mitigate prefill’s impact, it would be fundamentally better to avoid (most of) prefill. This talk introduces our preliminary effort towards drastically minimizing prefill delay for LLM inputs that naturally reuse text chunks, such as in retrieval-augmented generation. While keeping the KV cache of all text chunks in memory is difficult, we show that it is possible to store them on cheaper yet slower storage. By improving the loading process of the reused KV caches, we can still significantly speed up prefill delay while maintaining the same generation quality.

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

Alluxio, Inc.

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

XfilesPro

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

Victor Lopez

How to install and activate eGrabber JobGrabber

eGrabber

Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Tier1 app

Workforce Efficiency with Employee Time Tracking Software.pdf

DeskTrack

Crafting the Perfect Measurement Sheet with PLM Integration

Wave PLM

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A Guideline to Gorgias to to Re:amaze Data Migration

Top Mobile App Development Companies 2024

AI/ML Infra Meetup | ML explainability in Michelangelo

top nidhi software solution freedownload

Benefits of Employee Monitoring Software

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation

iGaming Platform & Lottery Solutions by Skilrock

Designing for Privacy in Amazon Web Services

Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...

StrimziCon 2024 - Transition to Apache Kafka on Kubernetes with Strimzi

AI/ML Infra Meetup | Perspective on Deep Learning Framework

AI/ML Infra Meetup | Improve Speed and GPU Utilization for Model Training & S...

INGKA DIGITAL: Linked Metadata by Design

AI/ML Infra Meetup | Reducing Prefill for LLM Serving in RAG

How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?

Implementing KPIs and Right Metrics for Agile Delivery Teams.pdf

How to install and activate eGrabber JobGrabber

TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERROR

Workforce Efficiency with Employee Time Tracking Software.pdf

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Where the Wild Things Are

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