Recently, Google partnered with SOASTA to train a machine-learning model on a large sample of real-world performance, conversion, and bounce data. In this talk at Velocity Santa Clara, Pat Meenan of Google and Tammy Everts of SOASTA offer an overview of the resulting model—able to predict the impact of performance work and other site metrics on conversion and bounce rates.
El documento describe los objetivos y actividades de un taller de herramientas digitales, incluyendo escuchar un podcast, crear un mapa mental, investigar el tema en internet, grabar un audio, subirlo a SoundCloud, hacer una infografía en Piktochart y subirla a Pinterest, hacer un power point y alojarlo en SlideShare o Scribd, diseñar un blog, editar un video y subirlo a YouTube, y publicar los documentos creados en el blog.
Building a developer community around hardware + softwareAmanda Whaley
It's not all in the cloud -- let's discuss some of the challenges of creating great DevX when your platform includes IoT or other types of hardware. Session at #APIStrat in Austin, TX Nov 2015.
The document discusses the Gagarin-55 4K IMAX movie project, which aims to create a documentary movie in 4K resolution to commemorate the 55th anniversary of Gagarin's first human spaceflight. The project involves creating an IMAX movie, virtual environment system, and virtual space museum. It is being developed by an international crowdsourcing team from countries like Cyprus, Germany, Taiwan, and Russia. The project aims to develop new technologies and have versions for IMAX cinemas, TV, and international audiences in multiple languages.
Este documento introduz o conceito de análise fundamentalista de ações, que avalia empresas considerando fatores macroeconômicos, financeiros e de lucratividade futura para estimar o valor justo de seus papéis. Também explica como acionistas podem obter retorno por meio de dividendos, distribuição de parte dos lucros, e valorização das ações ao longo do tempo.
Sağlık Sektöründe Akredite Laboratuvar İhtiyaçlarıS.Oguz Savas
Türkiye'de Sağlık Sektöründe hizmet veren Akredite Test Laboratuvarlarının durumu ve genel ihtiyaçlar. Tıbbi Cihaz sektörü hakkında bilgilendirme, Tıbbi Cihaz sektöründe beklentiler, Türkiye'de medikal cihaz sektörü, test felsefesi, test tipleri, Türkiye'de kapsanan test standartları, fırsatlar, talepler
This document outlines a chocolate club with Thomas as the leader and other members including Lucca, Neil, Oliver, and Andre. The club has different flavours assigned to each member as their specialty. To join the chocolate club, one must ask Thomas at lunch for further instructions and joining may provide free chocolate.
Using Time Series for Full Observability of a SaaS PlatformDevOps.com
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data.
This document discusses data intensive applications and some of the challenges, tools, and best practices related to them. The key challenges with data intensive applications include large quantities of data, complex data structures, and rapidly changing data. Common tools mentioned include NoSQL databases, message queues, caches, search indexes, and batch/stream processing frameworks. The document also discusses concepts like distributed systems architectures, outage case studies, and strategies for improving reliability, scalability, and maintainability in data systems. Engineers working in this field need an accurate understanding of various tools and how to apply the right tools for different use cases while avoiding common pitfalls.
Using InfluxDB for Full Observability of a SaaS Platform by Aleksandr Tavgen,...InfluxData
Aleksandr Tavgen from Playtech, the world’s largest online gambling software supplier, will share how they are using InfluxDB 2.0, Flux, and the OpenTracingAPI to gain full observability of their platform. In addition, he will share how InfluxDB has served as the glue to cope with multiple sets of time series data, especially in the case of understanding online user activity — a use case that is normally difficult without the math functions now available with Flux.
It covers general problem of creating monitoring and observability without killing your Ops motivation team with False Positives and unexplained alerts.
Problems on this side, pitfalls, anti-patterns, and how to make it right.
How to manage a monitoring zoo. Spaghettification of dashboards. Why Uber needs 9 billion metrics (¯\_(ツ)_/¯) and why this is antipattern. Metrics as a stream of data. We talk about new Flux language from InfluxDb. A bit of time series analysis and defining of pipelines in Flux for metrics data. Drunkyard walk on your metrics or why to measure a randomness.
Never Stop Exploring - Pushing the Limits of Solr: Presented by Anirudha Jadh...Lucidworks
This document discusses optimizing Solr for near real-time indexing of large datasets. The author describes benchmarking different indexing configurations, finding that batching documents by time, size or number provides much higher indexing throughput than single documents. The author proposes a PID controller to dynamically adjust batching parameters based on indexing performance. Future work includes refining the PID controller, integrating it with benchmarking tools, and using it for hardware sizing.
Observability - The good, the bad and the ugly Xp Days 2019 Kiev Ukraine Aleksandr Tavgen
Talk about approaches to an observability. Do we need millions of metrics? Anomalies vs regularities? Can Machine Learning help us? Some abilities of Flux language by InfluxData
Observability – the good, the bad, and the uglyTimetrix
This document discusses observability and incident management. It notes that incidents are expensive and reduce credibility. Common causes of outages include changes, network failures, bugs, human errors, hardware failures, and unspecified issues. The timeline of an outage includes detection, investigation, escalation, and fixing. Many companies have a "zoo" of monitoring solutions that are difficult to manage. Common anti-patterns include an exponential growth of metrics that nobody understands. The document advocates focusing on key performance indicator metrics and using time-series databases, distributed tracing, and machine learning to more quickly detect anomalies and reduce incident timelines. It describes an open source project called Timetrix that combines metrics, events and traces for improved observability.
Big Data LDN 2018: USING FAST DATA AND STREAM PROCESSING TO OPERATIONALISE MA...Matt Stubbs
Date: 14th November 2018
Location: Fast Data Theatre
Time: 13:50 - 14:20
Speaker: Steve Wilkes
Organisation: Striim
About: Machine learning has the potential to change the way many businesses operate by enabling real-time predictions and decisions based on deep historical knowledge. However, there is often an impedance mismatch between Data Scientists who generate accurate machine learning models, and IT or Operations departments that need to put these models into production. In this session, Steve will discuss how to harness fast data and stream processing to train, invoke, and potentially automate the retraining of machine learning models. He will walk through real-world, real-time use cases and explain how enabling Data Scientists to work with continuous real-time data can benefit your organisation and eliminate any impedance mismatch that might hinder the operationalising of machine learning.
Lessons Learned Replatforming A Large Machine Learning Application To Apache ...Databricks
Morningstar’s Risk Model project is created by stitching together statistical and machine learning models to produce risk and performance metrics for millions of financial securities. Previously, we were running a single version of this application, but needed to expand it to allow for customizations based on client demand. With the goal of running hundreds of custom Risk Model runs at once at an output size of around 1TB of data each, we had a challenging technical problem on our hands! In this presentation, we’ll talk about the challenges we faced replatforming this application to Spark, how we solved them, and the benefits we saw.
Some things we’ll touch on include how we created customized models, the architecture of our machine learning application, how we maintain an audit trail of data transformations (for rigorous third party audits), and how we validate the input data our model takes in and output data our model produces. We want the attendees to walk away with some key ideas of what worked for us when productizing a large scale machine learning platform.
Powering Real-Time Decisions with Continuous Data StreamsSafe Software
In an era where making swift, data-driven decisions can set industry leaders apart, understanding the world of data streaming and stream processing is crucial. During this webinar, we'll explore:
Stream Processing Overview: Dive into what stream processing entails and the value it brings organizations.
Stream vs. Batch Processing: Learn the key differences and benefits of stream processing compared to traditional batch processing, highlighting the efficiency of real-time data handling.
Mastering Data Volumes: Discover strategies for effectively managing both high and low volume data streams, ensuring optimal performance.
Boosting Operational Excellence: Explore how adopting data streaming can enhance your organization's operational workflows and productivity.
Spatial Data's Role in Streams: Understand the importance of spatial data in stream processing for more informed decision-making.
Interactive Demos: Watch practical demos, from dynamic geofencing to group-based processing.
Plus, we’ll show you how you can do it without coding! Register now to take the first step towards more informed, timely, and precise decision-making for your organization.
This document discusses experiences with streaming and micro-batch processing for online machine learning using Apache Flink. It finds that online algorithms can more accurately model changing real-world data patterns compared to offline/batch algorithms by retraining models continuously with new data. The document demonstrates an online SVM algorithm built on Flink that achieves higher accuracy than offline SVM on a real-world workload with changing patterns. It also shows the online SVM on Flink provides lower latency and higher throughput than a micro-batch based solution on Spark.
This document provides an overview of stream processing. It discusses how stream processing systems are used to process large volumes of real-time data continuously and produce actionable information. Examples of applications discussed include traffic monitoring, network monitoring, smart grids, and sensor networks. Key concepts of stream processing covered include data streams, operators, windows, programming models, fault tolerance, and platforms like Storm and Spark Streaming.
This document discusses patterns for scaling systems incrementally. It introduces the ACD/C approach of making systems async, caching results, distributing work, and compromising on consistency as needed. Specific architectures like map reduce and distributed queues are presented. The challenges of partial failures, upgrades, and changing topologies are discussed. Testing is emphasized as critical for managing scaled systems.
Hard Truths About Streaming and Eventing (Dan Rosanova, Microsoft) Kafka Summ...confluent
Eventing and streaming open a world of compelling new possibilities to our software and platform designs. They can reduce time to decision and action while lowering total platform cost. But they are not a panacea. Understanding the edges and limits of these architectures can help you avoid painful missteps. This talk will focus on event driven and streaming architectures and how Apache Kafka can help you implement these. It will also discuss key tradeoffs you will face along the way from partitioning schemes to the impact of availability vs. consistency (CAP Theorem). Finally we’ll discuss some challenges of scale for patterns like Event Sourcing and how you can use other tools and even features of Kafka to work around them. This talk assumes a basic understanding of Kafka and distributed computing, but will include brief refresher sections.
Rise of the machines -- Owasp israel -- June 2014 meetupShlomo Yona
Rise of the machines -- Owasp israel -- June 2014 meetup
Shlomo Yona presents why it is a good idea to use Machine Learning in Security and explains some Machine Learning jargon and demonstraits with two fingerprinting examples: a wifi device (PHY) and a browser (L7)
The document discusses various types of performance testing and their key parameters. It describes load testing as focusing on response time and studying how an application handles concurrent users. Stress testing aims to identify the breaking point of a server by focusing on throughput and response time. Endurance testing reveals memory leakage over prolonged executions. Spike testing determines if an application can handle sudden load changes by examining response time. Volume testing analyzes response time of queries under high loads. Availability testing checks uptime. Scalability testing evaluates response time and maximum transactions under increasing loads over time.
Using AWS To Build A Scalable Machine Data Analytics ServiceChristian Beedgen
Christian Beedgen presented on using AWS to build a scalable machine data analytics service. He discussed Sumo Logic's architecture which uses loosely coupled AWS components like S3, DynamoDB, and EC2 to ingest, index, analyze and query large volumes of machine log data in real-time. Deployment is automated using tools like Jenkins, and components are deployed across availability zones for high availability. The system scales horizontally by sharding data and queries by customer account.
The Automation Firehose: Be Strategic & Tactical With Your Mobile & Web TestingPerfecto by Perforce
The document discusses strategies for effective test automation. It emphasizes taking a risk-based approach to prioritize what to automate based on factors like frequency of use, complexity of setup, and business impact. The document outlines approaches for test automation frameworks, coding standards, and addressing common challenges like technical debt. It provides examples of metrics to measure the effectiveness of test automation efforts.
Introduction of streaming data, difference between batch processing and stream processing, Research issues in streaming data processing, Performance evaluation metrics , tools for stream processing.
Similar to Velocity 2016 Speaking Session - Using Machine Learning to Determine Drivers of Bounce and Conversion (20)
How Digital Performance Management helps increase conversion rates, lower bounce rates, manage third party performance and conversion impact, user experience, and overall web performance.
Optimizing your marketing promotions to mazimize your revenueSOASTA
Ecommerce businesses that aren’t optimizing the speed and performance of their online promotions are leaving large sums of money on the table. Analyzing the billions of collected customer experience data from top internet retailers tells us this is not the exception – it’s the norm. So how can your company maximize returns from your marketing campaigns?
Join Mat Ball and SOASTA Chairman and Founder, Ken Gardner to see how top internet retailers – such as Gap, Neiman Marcus, and Lowe's – maximize revenue and conversion outcomes for their promotional campaigns.
We'll cover:
A “how-to” process for optimizing your marketing promotions through your user data
Proof of Revenue - visual proof that better site performance (speed/availability) significantly impacts campaign performance (conversions and revenue generation)
Beginning and end snapshots of success stories of SOASTA customers using data science
Speakers
Ken Gardner - SOASTA Founder and Chairman
Mat Ball - Marketing Manager, SOASTA DataScience
Using JMeter in CloudTest for Continuous TestingSOASTA
The document discusses SOASTA's Spring Release of their CloudTest product. Some key highlights include new features like network emulation, version control integration, and first class support for the popular open source load testing tool JMeter. It also covers trends around shifting performance testing left into development and right from development into production environments.
The document discusses load testing best practices for peak seasons. It recommends measuring site performance now, prioritizing issues, and optimizing the site. Key things to test include popular session paths and peak load times. Testing should start early and continue through development, staging, and production. Automated testing allows for continuous testing. The goal is to measure, optimize, and repeat testing to ensure peak performance.
Velocity Booth Session - Better Together: RUM & SyntheticSOASTA
RUM and Synthetic monitoring are like peanut butter and jelly, better together! Learn how these two approaches compliment each other and how you can correlate them for the best insights into your performance and user experiences in SOASTA mPulse.
Velocity Booth Presentation - Which 3rd Party Resources Are Eating Your Profits?SOASTA
Do you know which third party resources are costing you performance, and therefore revenue? Do you even know how many third party resources are used on your site, and where? Come see how 3rd Party Analytics can give you the visibility and understanding needed to properly manage third party resource usage--improving performance and increasing revenue.
Velocity 15 Minute Booth Session - Building a Performance Team - Dave MurphySOASTA
Skills without commitment does not create a performance culture. A strong performance culture crosses organizational boundaries. Ideally, everyone owns performance.
Join Norm Morrison, Senior Director of Performance Management at Radial, for this tips-filled webinar. Norm will share how his team identified the right tools, metrics, and best practices to give Radial, formerly eBay Enterprise, total end-to-end visibility into the hundreds of millions of user experiences the site delivers every day.
IRCE 2016 Speaking Session – The Small Things That Add Up: How to Find What D...SOASTA
In this session at IRCE 2016, Joseph Paulling from Fanatics.com and Senior Researcher at SOASTA, Tammy Everts, talked about how Fanatics made their median page load 2 seconds faster and almost doubled mobile conversions.
High performance is a combination of customer experience, business outcomes, IT performance, and analytics. SOASTA CMO Ann Ruckstuhl presents on how to own your digital performance management so that you and your customers can win at eTail West 2016.
Webinar: New Features in CloudTest & TouchTestSOASTA
- Improved Continuous Testing as part of your CI (Continuous Integration) process so poor performing code never makes it into production
- Faster time to testing with easier test recording in Chrome
Reuse of existing UI Automation tests in your TouchTest Android mobile tests
- New flexible licensing, supporting unlimited number of devices
5 Keys to Your Best Automated Testing StrategySOASTA
Recent Microsoft studies have demonstrated not everyone gets automated testing right; many enterprises still lack the know-how to achieve optimum results. Join our upcoming webinar on 5 Keys to your best Automated Testing Strategy.
In this webinar, we will cover:
Avoiding the Automation ‘Gotchas’
Visualizing end-to-end performance
Predicting and solving performance issues
…along with a live demo of SOASTA’s Mobile Functional Test with integrated device performance metrics.
The webinar discusses enabling continuous performance testing with Jenkins CI/CD pipelines. It introduces SOASTA and CloudBees as partners that offer a complete cloud-based service for continuous performance testing and continuous delivery with Jenkins. The webinar agenda includes building performance tests, connecting tests to Jenkins, establishing performance baselines, executing tests in parallel with CD pipelines in Jenkins Workflow, and reviewing performance and functional test results.
Rewriting The Revenue Rules: From Mobile-First To Mobile-Only Mobile Shopping...SOASTA
This document discusses how slow loading times and delays can negatively impact businesses. It notes that a 1 second delay can lead to 11% fewer page views, 16% less customer satisfaction, and 7% loss in conversion. Additionally, 3 out of 4 mobile users consider mobile sites slower than desktop sites. The document then discusses how SOASTA helps companies analyze performance data to answer key questions and improve user experiences.
Forensic tools for in-depth performance investigations SOASTA
Boomerang is a JavaScript library that gathers performance metrics of page loads. When a customer saw periods where nothing progressed on their site, forensic tools were used to investigate. WebPageTest reproduced the issue, and tcpdump, Wireshark, and Chrome Tracing helped dive deeper. Tests showed the problem was not related to Boomerang. Other scenarios involved pre-rendering, ready state changes, and expired CSRF tokens. Various tools like Fiddler and browser dev tools helped reproduce, validate fixes, and determine root causes.
Metrics, metrics everywhere (but where the heck do you start?) SOASTA
This document discusses various metrics for measuring website performance and user experience. It outlines different types of metrics including:
- Network metrics like DNS resolution, TCP connection times, and time to first byte.
- Browser metrics like start render time, DOM loading/ready times, and page load times.
- Resource-level metrics obtained from the Resource Timing API like individual asset load times and response sizes.
- User-centric metrics like Speed Index, time to visible content, and metrics for single-page applications without traditional page loads.
It emphasizes the importance of measuring real user monitoring data alongside synthetic tests, and looking at higher percentiles rather than just averages due to variability in user environments and network conditions
The success of Amazon’s recent Prime Day event is evidence, if any was needed, that Flash sales are a growing and important part of a retailer’s online armoury. The success or failure of these events however often rests on a few critical factors.
Join SOASTA on 23rd September and discover the essential building blocks to creating a successful online Flash sale. In the first of this two-part webinar, SOASTA’s Kristian Sköld will share practical insights about:
- The Single Point of Failure
- How best to Optimise your site
- Success factors behind better conversions
The document discusses continuous testing in DevOps. It introduces SOASTA and their products for load and performance testing (CloudTest) and mobile functional test automation (TouchTest). SOASTA advocates for continuous integration with small batches, version control, automation, and continuous feedback to align development and testing teams. The presentation provides examples of how SOASTA's clients implement continuous integration by running unit tests and load tests on every code change through Jenkins and addressing issues before deployment.
Final tips holiday readiness 2015 for slide shareSOASTA
Join us for this fast-paced webinar as two web and mobile performance experts share five tactics you can deploy immediately do squeeze the most out of the applications and infrastructure you already have.
Business Value of Performance - Ann Ruckstuhl CMO DOCSOASTA
This document discusses the business value of digital performance and the importance of website speed. It notes that every 100ms of load time improvement can result in 1% more conversions and $80M in additional revenue for Walmart. It also discusses how mobile traffic now accounts for 33% of orders and the increasing complexity of technology stacks, with the average page now making over 18 third party calls. The document advocates for a data-driven approach to performance management using predictive analytics to understand the business impacts of improvements and optimize site performance.
How Social Media Hackers Help You to See Your Wife's Message.pdfHackersList
In the modern digital era, social media platforms have become integral to our daily lives. These platforms, including Facebook, Instagram, WhatsApp, and Snapchat, offer countless ways to connect, share, and communicate.
Implementations of Fused Deposition Modeling in real worldEmerging Tech
The presentation showcases the diverse real-world applications of Fused Deposition Modeling (FDM) across multiple industries:
1. **Manufacturing**: FDM is utilized in manufacturing for rapid prototyping, creating custom tools and fixtures, and producing functional end-use parts. Companies leverage its cost-effectiveness and flexibility to streamline production processes.
2. **Medical**: In the medical field, FDM is used to create patient-specific anatomical models, surgical guides, and prosthetics. Its ability to produce precise and biocompatible parts supports advancements in personalized healthcare solutions.
3. **Education**: FDM plays a crucial role in education by enabling students to learn about design and engineering through hands-on 3D printing projects. It promotes innovation and practical skill development in STEM disciplines.
4. **Science**: Researchers use FDM to prototype equipment for scientific experiments, build custom laboratory tools, and create models for visualization and testing purposes. It facilitates rapid iteration and customization in scientific endeavors.
5. **Automotive**: Automotive manufacturers employ FDM for prototyping vehicle components, tooling for assembly lines, and customized parts. It speeds up the design validation process and enhances efficiency in automotive engineering.
6. **Consumer Electronics**: FDM is utilized in consumer electronics for designing and prototyping product enclosures, casings, and internal components. It enables rapid iteration and customization to meet evolving consumer demands.
7. **Robotics**: Robotics engineers leverage FDM to prototype robot parts, create lightweight and durable components, and customize robot designs for specific applications. It supports innovation and optimization in robotic systems.
8. **Aerospace**: In aerospace, FDM is used to manufacture lightweight parts, complex geometries, and prototypes of aircraft components. It contributes to cost reduction, faster production cycles, and weight savings in aerospace engineering.
9. **Architecture**: Architects utilize FDM for creating detailed architectural models, prototypes of building components, and intricate designs. It aids in visualizing concepts, testing structural integrity, and communicating design ideas effectively.
Each industry example demonstrates how FDM enhances innovation, accelerates product development, and addresses specific challenges through advanced manufacturing capabilities.
TrustArc Webinar - 2024 Data Privacy Trends: A Mid-Year Check-InTrustArc
Six months into 2024, and it is clear the privacy ecosystem takes no days off!! Regulators continue to implement and enforce new regulations, businesses strive to meet requirements, and technology advances like AI have privacy professionals scratching their heads about managing risk.
What can we learn about the first six months of data privacy trends and events in 2024? How should this inform your privacy program management for the rest of the year?
Join TrustArc, Goodwin, and Snyk privacy experts as they discuss the changes we’ve seen in the first half of 2024 and gain insight into the concrete, actionable steps you can take to up-level your privacy program in the second half of the year.
This webinar will review:
- Key changes to privacy regulations in 2024
- Key themes in privacy and data governance in 2024
- How to maximize your privacy program in the second half of 2024
An invited talk given by Mark Billinghurst on Research Directions for Cross Reality Interfaces. This was given on July 2nd 2024 as part of the 2024 Summer School on Cross Reality in Hagenberg, Austria (July 1st - 7th)
Mitigating the Impact of State Management in Cloud Stream Processing SystemsScyllaDB
Stream processing is a crucial component of modern data infrastructure, but constructing an efficient and scalable stream processing system can be challenging. Decoupling compute and storage architecture has emerged as an effective solution to these challenges, but it can introduce high latency issues, especially when dealing with complex continuous queries that necessitate managing extra-large internal states.
In this talk, we focus on addressing the high latency issues associated with S3 storage in stream processing systems that employ a decoupled compute and storage architecture. We delve into the root causes of latency in this context and explore various techniques to minimize the impact of S3 latency on stream processing performance. Our proposed approach is to implement a tiered storage mechanism that leverages a blend of high-performance and low-cost storage tiers to reduce data movement between the compute and storage layers while maintaining efficient processing.
Throughout the talk, we will present experimental results that demonstrate the effectiveness of our approach in mitigating the impact of S3 latency on stream processing. By the end of the talk, attendees will have gained insights into how to optimize their stream processing systems for reduced latency and improved cost-efficiency.
How RPA Help in the Transportation and Logistics Industry.pptxSynapseIndia
Revolutionize your transportation processes with our cutting-edge RPA software. Automate repetitive tasks, reduce costs, and enhance efficiency in the logistics sector with our advanced solutions.
Kief Morris rethinks the infrastructure code delivery lifecycle, advocating for a shift towards composable infrastructure systems. We should shift to designing around deployable components rather than code modules, use more useful levels of abstraction, and drive design and deployment from applications rather than bottom-up, monolithic architecture and delivery.
YOUR RELIABLE WEB DESIGN & DEVELOPMENT TEAM — FOR LASTING SUCCESS
WPRiders is a web development company specialized in WordPress and WooCommerce websites and plugins for customers around the world. The company is headquartered in Bucharest, Romania, but our team members are located all over the world. Our customers are primarily from the US and Western Europe, but we have clients from Australia, Canada and other areas as well.
Some facts about WPRiders and why we are one of the best firms around:
More than 700 five-star reviews! You can check them here.
1500 WordPress projects delivered.
We respond 80% faster than other firms! Data provided by Freshdesk.
We’ve been in business since 2015.
We are located in 7 countries and have 22 team members.
With so many projects delivered, our team knows what works and what doesn’t when it comes to WordPress and WooCommerce.
Our team members are:
- highly experienced developers (employees & contractors with 5 -10+ years of experience),
- great designers with an eye for UX/UI with 10+ years of experience
- project managers with development background who speak both tech and non-tech
- QA specialists
- Conversion Rate Optimisation - CRO experts
They are all working together to provide you with the best possible service. We are passionate about WordPress, and we love creating custom solutions that help our clients achieve their goals.
At WPRiders, we are committed to building long-term relationships with our clients. We believe in accountability, in doing the right thing, as well as in transparency and open communication. You can read more about WPRiders on the About us page.
BT & Neo4j: Knowledge Graphs for Critical Enterprise Systems.pptx.pdfNeo4j
Presented at Gartner Data & Analytics, London Maty 2024. BT Group has used the Neo4j Graph Database to enable impressive digital transformation programs over the last 6 years. By re-imagining their operational support systems to adopt self-serve and data lead principles they have substantially reduced the number of applications and complexity of their operations. The result has been a substantial reduction in risk and costs while improving time to value, innovation, and process automation. Join this session to hear their story, the lessons they learned along the way and how their future innovation plans include the exploration of uses of EKG + Generative AI.
INDIAN AIR FORCE FIGHTER PLANES LIST.pdfjackson110191
These fighter aircraft have uses outside of traditional combat situations. They are essential in defending India's territorial integrity, averting dangers, and delivering aid to those in need during natural calamities. Additionally, the IAF improves its interoperability and fortifies international military alliances by working together and conducting joint exercises with other air forces.
The DealBook is our annual overview of the Ukrainian tech investment industry. This edition comprehensively covers the full year 2023 and the first deals of 2024.
7 Most Powerful Solar Storms in the History of Earth.pdfEnterprise Wired
Solar Storms (Geo Magnetic Storms) are the motion of accelerated charged particles in the solar environment with high velocities due to the coronal mass ejection (CME).
Blockchain technology is transforming industries and reshaping the way we conduct business, manage data, and secure transactions. Whether you're new to blockchain or looking to deepen your knowledge, our guidebook, "Blockchain for Dummies", is your ultimate resource.
Best Programming Language for Civil EngineersAwais Yaseen
The integration of programming into civil engineering is transforming the industry. We can design complex infrastructure projects and analyse large datasets. Imagine revolutionizing the way we build our cities and infrastructure, all by the power of coding. Programming skills are no longer just a bonus—they’re a game changer in this era.
Technology is revolutionizing civil engineering by integrating advanced tools and techniques. Programming allows for the automation of repetitive tasks, enhancing the accuracy of designs, simulations, and analyses. With the advent of artificial intelligence and machine learning, engineers can now predict structural behaviors under various conditions, optimize material usage, and improve project planning.
論文紹介:A Systematic Survey of Prompt Engineering on Vision-Language Foundation ...Toru Tamaki
Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip Torr "A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models" arXiv2023
https://arxiv.org/abs/2307.12980
7. Vectorizing the data
• Everything needs to be numeric
• Strings converted to several inputs as yes/no
(1/0)
• i.e. Device manufacturer
• “Apple” would be a discrete input
• Watch out for input explosion (UA String)
8. Balancing the data
• 3% conversion rate
• 97% accurate by always guessing no
• Subsample the data for 50/50 mix
10. Smoothing the data
ML works best on normally distributed data
scaler = StandardScaler()
x_train = scaler.fit_transform(x_train)
x_val = scaler.transform(x_val)
11. Input/output relationships
• SSL highly correlated with conversions
• Long sessions highly correlated with
not bouncing
• Remove correlated features from
training
12. Training deep learning
model = Sequential()
model.add(...)
model.compile(optimizer='adagrad',
loss='binary_crossentropy',
metrics=["accuracy"])
model.fit(x_train,
y_train,
nb_epoch=EPOCH_COUNT,
batch_size=32,
validation_data=(x_val, y_val),
verbose=2,
shuffle=True)
mPulse is built above the boomerang JavaScript library that collects web performance data from a user’s web browser and sends that back to the mPulse servers on a beacon. The simple definition of a beacon is that it is an HTTP(S) request with a ton of data included either as HTTP headers or as part of the Request’s Query String.
Sessions that converted contained 48% more scripts (including third-party scripts, such as ads, analytics beacons, and social buttons) than sessions that didn’t.
Sessions that converted contained 48% more scripts (including third-party scripts, such as ads, analytics beacons, and social buttons) than sessions that didn’t.
Why? One likely answer is that checkout pages are likely to be more scripted than other pages in the conversion funnel.
Takeaway: Just because shoppers are converting on pages with lots of scripts doesn’t mean those pages are delivering the best possible user experience. More scripts -- especially third-party scripts, which are hosted externally -- can wreak havoc on page loads. Site owners should be aware of the performance impact of all their scripts.
While the previous finding tells us that more scripts correlates to increased conversions, when you add in more images and other elements that make pages more complex, those sessions converted less.
Why? The culprit might be the cumulative performance impact of all those page elements. The more elements on a page, the greater the page’s weight (total number of kilobytes) and complexity.
Takeaway: A typical web page today contains a hundred or so assets hosted on dozens of different servers. Many of these page assets are unoptimized, unmeasured, unmonitored — and therefore unpredictable. This unpredictability makes page loads volatile. Site owners can tackle this problem by setting performance budgets for their pages and culling unnecessary page elements. They should also audit and monitor all the third-party scripts on their sites.
When we talk about images, we’re referring to every single graphic element on a page -- from favicons to logos to product images. On a retail site, those images can quickly add up. On a typical retail page, images can easily comprise up to two thirds (in other words, hundreds of kilobytes) of a page’s total weight. The result: cumulatively slow page loads throughout a session.
“DOM ready” refers to the amount of time it takes for the page’s HTML to be received and parsed by the browser. Actual page elements, such as images, haven’t appeared yet. (It’s kind of like getting ready to cook. Your cookbook is open, your recipe is in front of you, and your ingredients are on standby.)
“DOM ready” refers to the amount of time it takes for the page’s HTML to be received and parsed by the browser. Actual page elements, such as images, haven’t appeared yet. (It’s kind of like getting ready to cook. Your cookbook is open, your recipe is in front of you, and your ingredients are on standby.)
Our research found that bounced sessions had DOM ready times that were 55% slower than non-bounced sessions. We also found that the bounce rate was higher when the first page in a user session was slow.
Takeaway: External blocking scripts (such as third-party ads, analytics, and social widgets) and styles (such as externally hosted CSS and fonts) have the greatest impact on DOM ready times. Site owners should measure the impact that these external elements have on their pages and conduct ongoing monitoring to ensure that scripts and styles are available and fast. Whenever possible, scripts should be served asynchronously (in parallel with the rest of the page) or in a non-blocking fashion.
Bounced sessions had median full page load times that were 53% slower than non-bounced sessions.
Within the performance community, there has been a growing tendency to regard load time as a meaningless metric.
With such a strong correlation between it and bounce rate, dismissing load time may be premature.
Shoppers who used low-bandwidth or mobile connections didn’t convert significantly less than shoppers on faster connections. This is interesting because it confirms that we’ve entered a “mobile everywhere” phase.
Takeaway: Internet users don’t behave especially differently depending on what device they’re using. Site owners need to ensure they’re delivering consistent user experiences across device types.
DNS lookup is when the browser looks up the domain of the object being requested by the browser. Think of this as asking the “phone book” of the internet to find someone’s phone number using their first and last name.
Start render tells you when content begins to display in the user’s browser. But it’s important to note that start render time doesn’t indicate whether that initial content is useful or important, or simply ads and widgets.
This research found that neither of these metrics correlated to a significant impact on conversions. This finding is especially interesting as it pertains to start render time. Up until now, many user experience proponents who participate in the web performance community have placed some value on start render time. This makes sense, because -- on paper, anyway -- start render would seem to reflect the user’s perception of when a page begins to load. But this research suggests that start render isn’t an accurate measure of the user experience -- at least as it pertains to triggering more conversions.
Takeaway: There’s an interesting observation to be made here about how performance measurement is driven by what we’re able to measure versus what we need to measure. Performance measurement tools can gather massive amounts of data about a wide swath of metrics, but are all those metrics meaningful? To what extent do we, as people who care about measuring the user experience, let the tail wag the dog?