Trending March 2024 # How Vpns Are Used By Softech, Omnisend, Signpost, Kooapps, And Origo: Case Studies # Suggested April 2024 # Top 4 Popular

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Virtual private networks (VPNs) have become a standard across industries as the workforce becomes increasingly dispersed. These solutions make many bold claims about what they can do, but businesses need real-world VPN case studies to showcase how these tools can meet their needs.

Nearly 70% of surveyed companies expanded their VPN usage in 2023, with 29% using one for the first time. This massive uptick in adoption highlights how businesses believe these tools are crucial. Industry-leading enterprises worldwide have seen considerable success after implementing VPNs.

Here are five VPN case studies from companies in various industries to highlight how these tools can help companies:

Softech is a tech company providing systems, software, and services for companies to monitor their environment. These solutions manage data about noise, pollution, traffic, and sources, handling vast amounts of data for international clients.

Given the distributed, time-sensitive, and data-heavy nature of this work, Softech needed a secure, reliable way to connect to customers remotely.

“We used to use a modem connection, but it was very slow and had a lot of security and connectivity problems. We needed a better and stronger connection to allow the company to grow,” said company owner and CEO Marco Renda.

Softech turned to OpenVPN Access Server as a solution. The VPN secured employees’ connection to remote databases without hindering their bandwidth or speed. Moving away from outdated modem connections also provided more reliability by eliminating disruptions that stood in the way of real-time data management tasks.

The VPN also integrated naturally with the company’s current software, enabling quick implementation. Teams could serve clients through the new solution without a lengthy, costly transition period.

Industry: Software solutions

VPN: OpenVPN Access Server


Improved connection reliability for remote clients

Provided secure access to sensitive environmental and operational data

Fast, affordable installation and configuration

Omnisend, an e-commerce email and SMS marketing automation platform, stands as another leading VPN case study. As the company expanded globally, it discovered a need to secure remote employees’ access to sensitive internal databases. With cyber crime set to cost $10.5 trillion by 2025, remote security became paramount.

In response, Omnisend adopted NordLayer VPN. The VPN’s zero-trust identity controls helped ensure only authorized users could access company servers. Encrypted point-to-point file sharing enabled remote teams to work together without compromising the privacy of their clients’ sensitive data.

Using a VPN also let Omnisend employees operate without the complications of other remote security solutions. “A simple document with a few screenshots was enough” to teach everyone how to use the VPN, according to Stauga.

Industry: E-commerce

VPN: NordLayer


Secure access to company databases for remote teams

Traffic encryption and identity management restricted access to sensitive data

Signpost is a customer relationship management (CRM) and marketing automation company serving home service businesses. The firm handles all customer communications, including text, live chat, email, and social media, placing lots of sensitive information in its hands. It realized it needed to upgrade its network when it went fully remote.

“We had reached an inflection point in the life of our corporate network. Most of our employees were working from home due to COVID, and our networking equipment was end-of-life,” explained Head of Corporate IT Alex Shtilkind.

Signpost was already using a VPN, but the older solution sent everything through the company’s New York headquarters. Once the company went fully remote, the old system became too slow to be sufficient.

After a successful demo, Signpost transitioned to Perimeter 81 instead. The new VPN included firewall as a service and a wider array of data centers, maintaining security while improving network performance.

Signpost could then give each employee a unique connection instead of sharing a single one among the whole company. Also, 1,000Mbps gateways let remote employees access Signpost’s SaaS solution without hindering their speed, delivering quality to clients faster.

Industry: Marketing automation

VPN: Perimeter 81


Provided faster access to company systems through unique connections

Lowered latency through edge computing and distributed data centers

Flexibility and speed enabled a fully-remote workforce

One of the more unique VPN case studies is Kooapps, a mobile game developer. Kooapps needed a way to keep its intellectual property and user data as private as possible. Previously, the company had relied on an on-premises solution for security, but the COVID-19 pandemic complicated that approach.

Flexible work arrangements and building capacity restrictions made it impossible for all employees to access on-premises resources when they needed them. Kooapps had to switch to a remote access system but needed to maintain privacy amid that transition.

A VPN via Twingate offered the ideal solution. The VPN’s simplicity of setup and accessibility on mobile platforms met the developer’s need for agility and multi-platform support. Employees were able to get started in a matter of minutes.

“They just need to download the app, enter their credentials, and then they’re done. There are no special setup processes that are platform-specific for users to follow,” said co-founder and manager Solon Chen.

Twingate’s zero-trust model provided the security Kooapps needed. Two-factor authentication and network encryption ensured that no unauthorized users could access the remote server full of sensitive data.

Industry: Gaming

VPN: Twingate


Implemented remote least privilege access

Enabled remote work in minutes

Gained more insight into network activity for increased security

Origo is an Iceland-based managed service provider offering its clients software development and IT infrastructure. The company serves 30% of the country’s entire workforce as one of Iceland’s digital revolution leaders. That massive user base posed a challenge when staff began to work from home amid lockdown restrictions.

“Our previous VPN solution had been both troublesome and unstable,” said Arnar Gunnarsson, Origo’s CTO. “That was a major concern when COVID-19 forced the majority of our employees to start working from home.”

The company’s secure remote access went from 20 users a day to more than 1,000, creating the need for a more agile, reliable solution. A more modern VPN solution from FortiClient gave Origo the agility and stability it needed.

Remote workers enjoyed connection speeds up to 1Gbps, similar to what they’d experienced in the office. The VPN’s multi-platform support also enabled employees to access company systems from their phones.

Two-factor authentication, secure sockets layer (SSL), and internet protocol security (IPsec) combined to provide the necessary protection, too. The VPN “solved both our performance and security challenges,” said Gunnarsson. “But most importantly, our employees are satisfied.”

Industry: Managed service provider

VPN: FortiClient


Boosted productivity from improved accessibility and agility

Secured remote access through several security protocols

Improved employee satisfaction by enabling safe, productive remote work

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Mlops Tools, Best Practices And Case Studies

A collection of procedures and methods known as MLOps are meant to guarantee the scalable and reliable deployment of machine learning systems. To reduce technological debt, MLOps uses software engineering best practices such as automated testing, version control, the application of agile concepts, and data management.

Using MLOps, the implementation of Machine Learning and Deep Learning models in expansive production environments can be automated while also improving quality and streamlining the management process. In this article, you will come across some of the tools and best practices that would help you do this job.

MLOps Best Practices

Following are the best practices of MLOps –

Taking a business concern and figuring out how machine learning can be used to solve it is the first stage in the machine learning lifecycle. There are quantifiable KPIs that show how successfully a business is reaching its goals. It is necessary to transform general business queries into performance indicators that the model may aim to achieve.

Modern working practices and organizational change are necessary for MLOps. This will occur only with time and the development of the organization’s structures and procedures. This includes process modifications such as using DevOps for deployment or bringing on additional team members.

Selecting an ML model might be challenging. Before settling on a particular model, it is important to test several different ones and keep note of the findings. It’s crucial to keep track of these models, perhaps by creating separate Git branches for each model. When trying to select the best model for production, this facilitates comparisons and selection.

After the model has been implemented, it is crucial to keep track of its performance to determine whether it is operating as anticipated. Once we have launched a Machine Learning model, a lot of things could go wrong. Finding any data change between the input and the goal variable by monitoring the model is helpful.

Models require system resources including CPU, GPU, I/O, and memory both during training and in use after deployment. Your team may optimize the cost of your trials and maximize your budget by being aware of the requirements of your system during the various phases.

MLOps Tools

Doing any of the best practices is good, but you would require a certain platform to perform such tasks. Below are some of the popular MLOps tools that could be helpful in your MLOps journey −

Neptune − It is a modeling tool that acts as a metadata repository for MLOps that aids in the better organization of ML metadata by research and production teams. It offers a centralized location for compiling, logging, storing, displaying, comparing, and querying all metadata produced throughout the machine learning lifecycle. The program allows tracking experiments, model registries, monitoring machine learning runs, and a robust dashboard for simple tracking.

KFServing − It is a model serving tool that is built on top of Kubernetes. KFServing standardizes ML operations and offers an API for inference requests. It offers a straightforward yet comprehensive narrative for production ML inference providing. It works with a variety of machine learning frameworks, including Tensorflow, XGBoost, ScikitLearn, and ONNX. It also abstracts away the complexity of server configuration, networking, health monitoring, and autoscaling.

Luigi − It is an orchestration tool developed by Spotify. It is a Python-based execution framework. It offers a toolbox with several work templates that are beneficial for teams. To reinforce the atomicity of operations and reliable data pipelines, the toolkit contains file systems abstractions for HDFS and local files. Additionally, it provides a variety of tools and utilities through a robust architecture, such as A/B test analysis, internal dashboards, and external reporting, to enable complex job pipelines.

MLFlow − It is a modeling tool that provides better flexibility and scalability to support both lone people and big businesses. Any language, ML library, and existing code are compatible with MLflow. It enables you to share your machine-learning code with others and provides a structure for reproducible runs using Docker and Conda. To effectively manage the whole lifecycle of MLflow models, a centralized model repository, user interface, and set of APIs are used.

DVC − It is a data tool with features like agility, data versioning, reproducibility, and sharing effectiveness, DVC tool makes data version management for ML projects simpler. Big data may be efficiently organized and accessed thanks to this experimentation tool. It simplifies the management of experiments using Git tags, branches, and metrics to select the best version and monitor experiment progress.

MLOps Case Studies

Following are the important study cases of MLOps –

To efficiently assign assignments to numerous customers and determine the best routes for them, Instacart employs machine learning to address the path optimization problem. This article explains the entire process and structure.

Optical character recognition and word detector are two independent parts of a straightforward application like a document scanner. Additionally, the end-to-end system needs extra phases for training and tweaking. Each requires a separate production pipeline. The team’s efforts to gather data, including the creation of their own data annotation platform, are also covered in detail in this article.

This article provides an outstanding overview of Uber’s end-to-end workflow, the areas in which machine learning is being used at Uber, and how their teams are set up. Uber employs machine learning extensively in their production.

Over 120 million people subscribe to Netflix as of 2023, with half of those people residing outside of the US. In this article, they discuss some of their technical difficulties and how they utilize machine learning to solve them, including how to forecast network quality, find anomalies in devices, and assign resources for anticipatory caching.

Retail Intelligent Automation: Use Cases & Case Studies In 2023

As competition increases, so does the value of leveraging digital technologies and automation solutions in retail. According to McKinsey, 30% to 40% of retail tasks related to processes such as merchandise planning or the supply chain can be automated.

Intelligent automation, also called cognitive automation or hyperautomation, which is the combined use of automation technologies with AI methods such as ML, NLP, OCR, conversational AI, and computer vision can help retailers automate end-to-end processes through bots with decision-making capabilities.

We have listed several use cases and case studies of intelligent automation in the retail industry.

Use cases Customer service

RPA bots with conversational AI capabilities can handle repetitive customer service tasks and can enable retailers to provide a better and personalized customer experience by:

Interacting with customers throughout the shopping process, from searching for products and placing orders to tracking packages and answering FAQs,

Providing recommendations according to their browsing and purchasing history,

Collecting customer feedback,

Analyzing customer sentiment with NLP models.

These can allow retailers to:

Understand their customers better, identify pain points, and develop strategies to improve customer experience,

Improve employee productivity by automating manual customer service tasks and assisting them with more complex tasks,

Provide 7/24 customer service.

Inventory management

By leveraging ML models and historical sales data, intelligent bots can predict the optimum amount of inventory for different goods and create allocation plans for different locations and different times of the year. They can alert suppliers when stores or warehouses are running low on stock. This can help retailers:

Prevent stockouts,

Reduce waste,

Automate restocking orders.

Invoice automation

Manually processing invoices is time-consuming and costly: it costs around 10$ and takes 25 days to manually process an invoice. The process is also error-prone with repetitive tasks including:

Matching up the billed amount and the amount on purchase orders,

Resolving any discrepancy in the amounts charged,

Entering data to relevant systems,

Sending the invoice to relevant employees

Intelligent bots with OCR and NLP capabilities can:

Monitor for incoming invoices,

Extract relevant data from invoices,

Cross-check invoices against purchase orders,

Enter the extracted invoice data to the system,

Make payments and settle the invoice.

Feel free to check our article on invoice automation for a more comprehensive account.

Returns processing

“Bracketing”, or intentionally purchasing more than intended to keep, increased from 40% to around 60% after the Covid-19 pandemic. Returns are an inevitable part of online shopping, and an efficient returns management is vital for retailers as it impacts profitability and customer retention: 96% of shoppers who rated their return experience positively stated that they would shop from the retailer again.

Intelligent bots integrated with chatbots can:

Guide customers through the return process,

Collect necessary customer information,

Update the inventory database,

Send notifications to customers and employees in the finance department.

Case studies

Feel free to read our article on intelligent automation case studies. Some example case studies in retail include:


Problem: Accelirate is an RPA consultant that helps companies automate their business processes. Struggling with manually processing up to 700 invoices from gasoline and freight vendors, a major retailer consulted Accelirate to help drive invoice automation. Prior to automation, retailer’s staff had to open individual emails containing invoices, find the supplier ID, manually extract invoice data, and enter it into the internal accounting system.

Results: The retailer reduced the time to process an invoice from 3-5 minutes to 30 seconds. 93% of the invoices could be reconciled without manual review. In this way, the company saved 160 hours per month.1

Recode Solutions

Problem: A large consumer goods retailer in the U.S. had many paper-based back-office processes in its accounting, loan, and credit departments. The company also had an inefficient customer service operation that required call center staff to log into multiple systems to retrieve customer information in order to answer customers’ questions.

Solution: The retailer partnered with Recode Solutions which worked with an intelligent automation solutions provider to automate processes such as AP invoice processing, customer service tasks, and loan servicing requests. 

Results: The solution reduced the time to process an invoice from 10 minutes to 30 seconds. It processes 65,000 invoices annually. In addition, the average call handling time was reduced to 85 seconds. This helped the company save $2 million annually.2

For more on intelligent automation

If you want to explore intelligent automation use cases in your business, feel free to check our article on intelligent automation use cases & examples in different business functions and industries.

You can also check our data-driven list of intelligent automation solutions. If you need help, feel free to reach out:


1, 2

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





7 Ideas To Improve Customer Service And Growth For Small Businesses Used By Seo

SEO is the use of specific strategies in order to improve a website’s rank on search engine result pages (SERPs). The main purpose of SEO-based marketing tactics, especially for a small business, is to attract organic traffic (non-paid).

These strategies can be used in many ways.

1. Produce Relevant Content

Instead of generating content based on keywords, focus on creating useful content. This means that you should give potential customers the information they need. Relevant content makes you more visible on search engines and converts potential clients into paying customers.

This content must have a purpose, be it a post article, or a social media post. It should also be focused on the client’s needs. Your site visitors visit it for a reason. Addressing that reason will help improve your search visibility and convert more people to your site.

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2. Navigation Made Easy

Site navigation, especially the menu bar or navigation bar, must be easy-to-understand and user-friendly. It is essential that visitors are able to navigate through websites easily since it has been proven that complex navigation structures will cause them to abandon sites.

3. Make It Easy to Read

Reading something difficult or boring is not something anyone enjoys. Avoiding the passive voice is a good place to start. Your sentences should be concise and easy to understand. They should also be broken up into sections and paragraphs. You can use bullets wherever structure is possible. Use bold and italics where appropriate. More repeat visitors will be attracted to your site and you will have a higher conversion rate.

4. Videos and Images can be Used

Written material can be used to include keywords that will help you rank higher in search engines. However, visual media can also help you improve searchable content. Visually engaging media can be both entertaining for users and have a significant impact on marketing efforts. However, any image or video must be related to the page content.

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5. Keep The Content Current

6. Speed up Your Website

7. Secure Your Connection

If you want your users to be able to find the information that they are looking for, it is crucial to implement the best small business SEO marketing strategies. Sites should be easy-to-find, offer value to visitors, and provide relevant content that addresses their specific needs. It doesn’t take much to improve your search engine results; all you need is know-how.

Top 3 Vpns For Work With Netflix And Torrents

According to the overall understanding, VPNs are mainly used to obtain confidentiality on the Internet. Still, there are many reasons why an additional layer of Virtual Private Network between the Internet and the user can be recommended. The most exciting ways to use VPNs: to create remote access to the corporate network, watch YouTube and other media resources, including Netflix, without restrictions, visit foreign marketplaces, safely connect to public Wi-Fi, unblock social networks where it is necessary, save some money for booking hotels and avia tickets, download anonymity from Torrents.

How does VPN work?

After signing in, all data transferring from the user and Internet servers is encrypted. The user will receive a new IP address only seen for the external resources; the original will be masked. The level of encryption differs from one VPN provider to another. The main aspects of choosing a VPN are:

Free VPNs do not provide proper encryption and safety protocols, do not have safe storage of personal data, and can sell it to external resources.

Availability of general IP addresses to be as everyone and anonymous simultaneously.

Number and location of servers around the world.

Availability of AES-256 encryption – the safest currently.

Technical support 24/7.

A number of devices that can use VPN at the same time by one user.

Speed of connection.

Limitations of media resources usage or downloading from Torrents.

The price.

Top 3 VPNs for Netflix and Torrents

The top-rated VPNs for Netflix and Torrents based on described aspects are ExpressVPN, NordVPN and Bitdefender VPN. Let’s check in detail.

Express VPN

ExpressVPN is one of the best solutions to access Netflix as it has access to more than 20 catalogs (including USA, Japan, and Canada) without limitations on the number of connections. This service is not for free, but you can return your money after 30 days of use. The high-speed connection is reliable with encryption and VPN split tunneling and servers among 94 countries all over the world.

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It is also suitable for torrents, as it supports P2P protocol for fast connections. With ExpressVPN, you will not get any harmful viruses, and your data will not be stolen. All ExpressVPN servers support torrents with AES-256 encryption. It works for such popular torrents – uTorrent, BitComet, WebTorrent, and many more.

This service can work on devices with Windows, Android, iOS, and Linux, for all special applications are available for easier installation and configuration. There are several payment plans for which the user can pay with credit cards, PayPal, or even bitcoins – to ensure total anonymity.


NordVPN unblocks Netflix not only in its application but also in the browser and provides access to all libraries, including popular ones, without difficulties. You will also get access to Amazon Prime or BBC. NordVPN is suitable for torrenting as it allows P2P traffic with fast speed and no sharing of the user’s personal IP address. You can test torrenting speed within 30-days of the guaranteed money-return back period; for sure, it will be lower than an Internet speed without a VPN, but not significantly. To torrent without problems, you do not need a particular configuration of NordVPN; it will automatically use OpenVPN or NordLynx protocol.

Bitdefender VPN

Bitdefender is a premium VPN to access not only Netflix and Torrents but also public Wi-Fi, get access to geo-restricted content, bypass the ISP throttling, and stream on many media servers avoiding DDoS attacks. All system requirements are presented on its website; it works on Windows, iOS, and Android. It has more than 4000 servers in about 50 countries worldwide.

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In terms of Netflix, Bitdefender provides access to Netflix libraries (has some limitations for USA and UK libraries), but BBC iPlayer works fine. It perfectly wells for unlimited P2P torrenting as well. It can allow some DNS leaks with information on the location and time of torrenting, but all personnel and what is torrenting will be encrypted. Bitdefender has AES-256 encryption and a kill switch; the user can select protocols such as OpenVPN or WireGuard.


This article clearly shows that torrenting and access to Netflix are no longer problems. Among these three VPNs – ExpressVPN, NordVPN, and Bitdefender VPN – you can choose the service that better suits your needs and price expectations. In addition, you will receive other valuable features such as anonymity and the possibility to access content from different countries on conditions not available in your home country.

Here Are All The New Alexa Skills And Features Announced By Amazon

Amazon has announced a plethora of new smart devices powered by its voice-assistant Alexa, such as the Echo Plus, Echo Dot, Echo Show, Echo Auto, and more. As part of all these new refreshed products, the company also highlighted how smart Alexa has become, and in the quest to make it even smarter, Amazon has announced a ton of new skills for Alexa along with some developer tools.

Alexa has got plenty of new features, many of which are available later this year. These new features range from security to entertainment.

Alexa Guard – When Guard mode is activated such as when you leave your home, certain Echo devices will be able to listen for sounds such as glass breaking or the smoke detector going off and then send alerts to your device.

Hunches – This feature basically adjusts Alexa’s suggestions based on your day-to-day habits. It can figure out when lights or other connected smart devices are not in the state you normally leave them, and suggest that they be turned on. It’s useful when you return from a work trip or a long stay away from home.

Easy Wi-Fi Setups – Alexa can connect selected Amazon smart devices to a Wi-Fi network with just a voice command, or through the Alexa app where you can scan a barcode to add new devices to your network seamlessly.

Local Voice Control – Seen in some Echo devices, Alexa can work offline to turn on devices in the smart home. It cannot however answer queries, stream content or search for products when in local voice mode.

Ring and August Integration – Echo Show will add a two-way talk feature that works with Ring and August doorbell cameras, allowing you to use a voice command to see and talk to whoever is at the door. Alexa will also be able to notify you when someone rings a Ring or August doorbell camera.

Alexa Routines – Besides location and time-based routines, you can also set Alexa to perform certain tasks when it detects changes in temperature or when it senses motion. You can also set reminders that are triggered when you leave or arrive at home or at work.

Virtual Cooking Coach – Alexa will soon take you through recipes, one step at a time. Amazon has partnered with Kitchen Stories, Allrecipes, Epicurious, Food52, TheKitchn, and SideChef for step-by-step instructions.

Multi-step Requests – Now users can add multiple items to their shopping list in a single command, without having to repeat the hotword to activate Alexa each time. Or you can ask Alexa to turn up the volume, and start a playlist at the same time.

Email Integration – Users can link a Gmail, Outlook, or Hotmail account to the Alexa app, which would allow the virtual assistant to read out your messages, and you can even send out replies using Alexa. Now that’s a really cool feature which would come in handy for short email replies.

Whisper Mode – Just for fun, when you whisper a command or request to Alexa, you will get a whispered response back.

Echo Stereo Pairing & Preferred Speaker – Users can connect two Echo devices to create a left-right stereo experience. You will have to use the same models for this feature to work. Additionally you can set a default speaker. This can either be an Echo device, or any speaker with Alexa support.

Music Notifications – Alexa can tell you when new albums or tracks for artists you follow are released.

Visual Alexa Blueprints – Building on Alexa Blueprints, which is how Amazon lets anyone create a skill for Alexa, this new Alexa skill will users create and share personalized video messages.

FreeTime features – Amazon announced FreeTime some time back and now it has added Kid Routines, combining actions like saying goodnight, turning off the lights and starting white noise machines or setting an alarm.

Additionally, the company has announced Tidal support for Echo devices later this year. Apart from that, developers interested in building their own array of Alexa-powered devices will have some new tools to work with thanks to the arrival of a software development kit and a hardware reference design introduced by Amazon.

The company unveiled the Alexa Presentation Language, which is basically a new design language that will help developers build and arrange their own skills on Alexa devices with a screen. The Alexa Presentation Language dictates how Alexa skills should work on screens, providing guidance around text size, slideshow displays, and layout design for developers, among other things.

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