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Ranking the Most Difficult to Read Privacy Policies from Streaming Services

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Ranking the Most Difficult to Read Privacy Policies from Streaming Services

With this in mind, cybersecurity expert Chris Bluvshtein from VPNOverview has compared the most complicated and difficult to read privacy policies from the top streaming services, in order to see what data these companies are really gathering about you. 

Disney+ 

Time to read: 20 minutes 

Reading level: University Graduate (21 and above) 

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Disney+ was found to be the hardest policy to read, given it had the lowest readability score by far at just 2.8 out of 100. The policy says that the streaming platform can share your data with third parties, which is a common part of many privacy policies. However, Disney also include the following in the fine print: 

“The information received by the other company is controlled by that company and becomes subject to the other company’s privacy practices.” 

This means that you are also agreeing to the policies of those other companies without knowing it.  

Netflix 

Time to read: 38 minutes 

Reading level: University Graduate (21 and above) 

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Netflix was found to be the second most difficult policy to read with a readability score of 23.7 out of 100. Its policy is also one of the longest at 4,977 words, meaning that it would take the average reader nearly 40 minutes to sift through. 

The streaming giant collects a wide range of invasive user data such as devices used, location, and browsers. Netflix is very vague on exactly how and why it collects said data but uses it to its advantage with crackdowns on account sharing.  

Spotify 

Time to read: 45 minutes 

Reading level: University Graduate (21 and above) 

Spotify had the third most difficult policy, with a readability score of 25.0 out of 100 and was the second longest, taking around 45 minutes to read through.  

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Spotify’s privacy policy states that it can log and store voice data and build up personal profiles of users, despite having no real need to do so. The policy claims to use voice data to “evaluate and develop new features, technologies and improvements to the Spotify service” and “to comply with a legal obligation we are subject to.” 

In fact, 42% of Spotify’s policy relates to the collection and use of your personal data, equating to 2,468 out of the 5,799 words in the document.  

Sky 

Time to read: 13 minutes 

Reading level: University Graduate (21 and above) 

Sky’s privacy policy is one of the shortest at only 1,710 words but due to its low readability score of 29.7, ranks the fourth most difficult to read. 

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Sky states that it will keep data including payment card and financial history for up to seven years, even after you cancel your subscription. Other types of data such as recorded calls to customer services are deleted after a more reasonable twelve months.  

YouTube 

Time to read: 7 minutes 

Reading level: University Student (18-21 years old) 

The video sharing and streaming platform ranked as the fifth most difficult to read, with a policy readability score of 30.6 out of 100. YouTube’s policy is the second shortest on this list at just 872 words. As it would take the average user only 7 minutes to read, the policy is shorter than the average video on the platform.

YouTube shares some of its privacy policies with Google as it belongs to this parent company. The policy states that data such as search terms, videos watched, and location data are all stored and used to serve personalised adverts to its viewers. 

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ITV 

Time to read: 22 minutes 

Reading level: University Student (18-21 years old) 

ITV’s privacy policy is only 300 words longer than that of Disney+ however it is much easier to read with a score of 35.6/100. 

The policy states that the user can object to the company processing their personal information and that they will “consider if your rights outweigh our interests and if they do, then we will either restrict our use of your information or delete it.”  

BBC iPlayer 

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Time to read: 4 minutes 

Reading level: University Student (18-21 years old) 

This is the shortest policy on the list at 555 words and takes just 4 minutes to read. It is the third easiest to read policy on our list with a score of 43.2. 

Within this policy, the BBC do include a small note about updating the document. Users should be made aware of any changes by email in the event they want to cancel the service. 

Why is It Important to Have a Clear Privacy Policy?

Privacy laws are designed to protect consumers by ensuring that they are not discriminated against by a company if they choose to decline the collection or processing of their personal information.

A clear privacy policy is important for organizations as it builds trust with users, helps them comply with laws and regulations, and manages risks associated with data breaches. It provides users with control over their personal information by outlining procedures for notifying them in the event of a data breach and explaining how their personal information is secured.

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Additionally, having a clear privacy policy ensures that organizations are compliant with applicable laws and regulations.

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Next-gen chips, Amazon Q, and speedy S3

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AWS re:Invent, which has been taking place from November 27 and runs to December 1, has had its usual plethora of announcements: a total of 21 at time of print.

Perhaps not surprisingly, given the huge potential impact of generative AI – ChatGPT officially turns one year old today – a lot of focus has been on the AI side for AWS’ announcements, including a major partnership inked with NVIDIA across infrastructure, software, and services.

Yet there has been plenty more announced at the Las Vegas jamboree besides. Here, CloudTech rounds up the best of the rest:

Next-generation chips

This was the other major AI-focused announcement at re:Invent: the launch of two new chips, AWS Graviton4 and AWS Trainium2, for training and running AI and machine learning (ML) models, among other customer workloads. Graviton4 shapes up against its predecessor with 30% better compute performance, 50% more cores and 75% more memory bandwidth, while Trainium2 delivers up to four times faster training than before and will be able to be deployed in EC2 UltraClusters of up to 100,000 chips.

The EC2 UltraClusters are designed to ‘deliver the highest performance, most energy efficient AI model training infrastructure in the cloud’, as AWS puts it. With it, customers will be able to train large language models in ‘a fraction of the time’, as well as double energy efficiency.

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As ever, AWS offers customers who are already utilising these tools. Databricks, Epic and SAP are among the companies cited as using the new AWS-designed chips.

Zero-ETL integrations

AWS announced new Amazon Aurora PostgreSQL, Amazon DynamoDB, and Amazon Relational Database Services (Amazon RDS) for MySQL integrations with Amazon Redshift, AWS’ cloud data warehouse. The zero-ETL integrations – eliminating the need to build ETL (extract, transform, load) data pipelines – make it easier to connect and analyse transactional data across various relational and non-relational databases in Amazon Redshift.

A simple example of how zero-ETL functions can be seen is in a hypothetical company which stores transactional data – time of transaction, items bought, where the transaction occurred – in a relational database, but use another analytics tool to analyse data in a non-relational database. To connect it all up, companies would previously have to construct ETL data pipelines which are a time and money sink.

The latest integrations “build on AWS’s zero-ETL foundation… so customers can quickly and easily connect all of their data, no matter where it lives,” the company said.

Amazon S3 Express One Zone

AWS announced the general availability of Amazon S3 Express One Zone, a new storage class purpose-built for customers’ most frequently-accessed data. Data access speed is up to 10 times faster and request costs up to 50% lower than standard S3. Companies can also opt to collocate their Amazon S3 Express One Zone data in the same availability zone as their compute resources.  

Companies and partners who are using Amazon S3 Express One Zone include ChaosSearch, Cloudera, and Pinterest.

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Amazon Q

A new product, and an interesting pivot, again with generative AI at its core. Amazon Q was announced as a ‘new type of generative AI-powered assistant’ which can be tailored to a customer’s business. “Customers can get fast, relevant answers to pressing questions, generate content, and take actions – all informed by a customer’s information repositories, code, and enterprise systems,” AWS added. The service also can assist companies building on AWS, as well as companies using AWS applications for business intelligence, contact centres, and supply chain management.

Customers cited as early adopters include Accenture, BMW and Wunderkind.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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HCLTech and Cisco create collaborative hybrid workplaces

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Digital comms specialist Cisco and global tech firm HCLTech have teamed up to launch Meeting-Rooms-as-a-Service (MRaaS).

Available on a subscription model, this solution modernises legacy meeting rooms and enables users to join meetings from any meeting solution provider using Webex devices.

The MRaaS solution helps enterprises simplify the design, implementation and maintenance of integrated meeting rooms, enabling seamless collaboration for their globally distributed hybrid workforces.

Rakshit Ghura, senior VP and Global head of digital workplace services, HCLTech, said: “MRaaS combines our consulting and managed services expertise with Cisco’s proficiency in Webex devices to change the way employees conceptualise, organise and interact in a collaborative environment for a modern hybrid work model.

“The common vision of our partnership is to elevate the collaboration experience at work and drive productivity through modern meeting rooms.”

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Alexandra Zagury, VP of partner managed and as-a-Service Sales at Cisco, said: “Our partnership with HCLTech helps our clients transform their offices through cost-effective managed services that support the ongoing evolution of workspaces.

“As we reimagine the modern office, we are making it easier to support collaboration and productivity among workers, whether they are in the office or elsewhere.”

Cisco’s Webex collaboration devices harness the power of artificial intelligence to offer intuitive, seamless collaboration experiences, enabling meeting rooms with smart features such as meeting zones, intelligent people framing, optimised attendee audio and background noise removal, among others.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

Tags: Cisco, collaboration, HCLTech, Hybrid, meetings

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Canonical releases low-touch private cloud MicroCloud

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Canonical has announced the general availability of MicroCloud, a low-touch, open source cloud solution. MicroCloud is part of Canonical’s growing cloud infrastructure portfolio.

It is purpose-built for scalable clusters and edge deployments for all types of enterprises. It is designed with simplicity, security and automation in mind, minimising the time and effort to both deploy and maintain it. Conveniently, enterprise support for MicroCloud is offered as part of Canonical’s Ubuntu Pro subscription, with several support tiers available, and priced per node.

MicroClouds are optimised for repeatable and reliable remote deployments. A single command initiates the orchestration and clustering of various components with minimal involvement by the user, resulting in a fully functional cloud within minutes. This simplified deployment process significantly reduces the barrier to entry, putting a production-grade cloud at everyone’s fingertips.

Juan Manuel Ventura, head of architectures & technologies at Spindox, said: “Cloud computing is not only about technology, it’s the beating heart of any modern industrial transformation, driving agility and innovation. Our mission is to provide our customers with the most effective ways to innovate and bring value; having a complexity-free cloud infrastructure is one important piece of that puzzle. With MicroCloud, the focus shifts away from struggling with cloud operations to solving real business challenges” says

In addition to seamless deployment, MicroCloud prioritises security and ease of maintenance. All MicroCloud components are built with strict confinement for increased security, with over-the-air transactional updates that preserve data and roll back on errors automatically. Upgrades to newer versions are handled automatically and without downtime, with the mechanisms to hold or schedule them as needed.

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With this approach, MicroCloud caters to both on-premise clouds but also edge deployments at remote locations, allowing organisations to use the same infrastructure primitives and services wherever they are needed. It is suitable for business-in-branch office locations or industrial use inside a factory, as well as distributed locations where the focus is on replicability and unattended operations.

Cedric Gegout, VP of product at Canonical, said: “As data becomes more distributed, the infrastructure has to follow. Cloud computing is now distributed, spanning across data centres, far and near edge computing appliances. MicroCloud is our answer to that.

“By packaging known infrastructure primitives in a portable and unattended way, we are delivering a simpler, more prescriptive cloud experience that makes zero-ops a reality for many Industries.“

MicroCloud’s lightweight architecture makes it usable on both commodity and high-end hardware, with several ways to further reduce its footprint depending on your workload needs. In addition to the standard Ubuntu Server or Desktop, MicroClouds can be run on Ubuntu Core – a lightweight OS optimised for the edge. With Ubuntu Core, MicroClouds are a perfect solution for far-edge locations with limited computing capabilities. Users can choose to run their workloads using Kubernetes or via system containers. System containers based on LXD behave similarly to traditional VMs but consume fewer resources while providing bare-metal performance.

Coupled with Canonical’s Ubuntu Pro + Support subscription, MicroCloud users can benefit from an enterprise-grade open source cloud solution that is fully supported and with better economics. An Ubuntu Pro subscription offers security maintenance for the broadest collection of open-source software available from a single vendor today. It covers over 30k packages with a consistent security maintenance commitment, and additional features such as kernel livepatch, systems management at scale, certified compliance and hardening profiles enabling easy adoption for enterprises. With per-node pricing and no hidden fees, customers can rest assured that their environment is secure and supported without the expensive price tag typically associated with cloud solutions.

Want to learn more about cybersecurity and the cloud from industry leaders? Check out Cyber Security & Cloud Expo taking place in Amsterdam, California, and London. Explore other upcoming enterprise technology events and webinars powered by TechForge here.

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Tags: automation, Canonical, MicroCloud, private cloud

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