Trending February 2024 # Apple Publishes New Transparency Report Detailing Govt Data Requests And App Store Removals # Suggested March 2024 # Top 5 Popular

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Amid its ongoing encryption battle with the FBI, Apple has published its latest biannual transparency report. This report reveals how many requests were made for user data by governments around the world, and how many with which Apple could comply.

This data covers January 1, 2023 through June 30, 2023. Apple is required by Justice Department rules to delay the release of these figures by six months, as noted by TechCrunch’s Zack Whittaker.

During this period, Apple says that governments made 31,778 requests for devices, which up by around 500 compared to the first half of 2023. Those requests covered a total of over 195,000 devices, and Apple says it was able to provide data in 82% of those instances. On a per-country basis, Germany made the most device requests at just over 13,500. The United States made 4,796 requests.

What kind of data did that include? Apple says that law enforcement agencies seek data on which customers are associated with which devices, oftentimes relating to lost and stolen device investigations, as well as fraud investigations. “Device-based requests generally seek details of customers associated with devices or device connections to Apple services,” Apple explains.

In addition to requests for device information, governments also request data for iCloud and iTunes accounts. During this six-month period, Apple says it received 6,480 requests for this type of information. Apple was able to comply with 85% of these requests. The United States led the way here with 3,619.

Here is Apple’s description of these types of account requests:

“Examples of such requests are where law enforcement agencies are working on cases where they suspect an account may have been used unlawfully or in violation of Apple’s terms of service. Account-based requests generally seek details of customers’ iTunes or iCloud accounts, such as a name and address; and in certain instances customers’ iCloud content, such as stored photos, email, iOS device backups, contacts or calendars.”

Apple also provides data on national security-related requests made by the United States under the Foreign Intelligence Surveillance Act (FISA). For security reasons, it only reports a range for this type of data. Apple says it received between 0 and 499 FISA requests during this period for non-content data relating to transactional and subscriber information.

Apple also says it received between 0 and 499 content requests for data such as photos, email, iOS device backups, contacts or calendars.

Lastly, as Whittaker notes, a record number of users and accounts were affected under FISA requests. A record number of national security letters were also issued by the FBI during this period. These letters are issued without oversight of the courts.

National Security Letters: Federal Bureau of Investigation issued requests for non-content data in national security investigations. Non-content data is data such as subscriber data. Apple does not produce transactional information and connection logs in response to National Security Letters.

As for the App Store, Apple says it received a total of 70 App Store takedown requests during this period for “legal violations.” The majority of these requests came from China, where the government made 56 requests. There were also a total of 25 App Store takedown requests for “platform policy violations,“ again with China leading the way at 22 requests.

You can read Apple’s full transparency report on its website here.

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Apple Defends 30% App Store Commission With New Study As Antitrust Threats Loom

A new study today from Analysis Group, supported by Apple, aims to defend the 30% cut Apple takes from App Store transactions. According to the research, Apple’s App Store commission rate is similar to those of other app stores and digital content marketplaces.

“Support for this study was provided by Apple,” the study discloses on the first page. “The conclusions and opinions expressed are exclusively those of the authors.”

The study analyzed commission rates used by 38 different digital marketplaces, including apps and software, video game platforms, and other digital content such as videos and ebooks.

The Analysis Group cites several key findings that it concludes helps justify the 30% commission Apple takes from App Store transactions. First and foremost, the research claims that Apple’s 30% rate is similar to other app stores and video game marketplaces.

The study goes on to point out that commission rates e-commerce marketplaces such as eBay, Amazon, and Uber sometimes exceed 30%. The study makes similar claims about App Store commissioning compared to brick-and-mortar channels, such as book stores, video game retailers, and consignment stores.

Here are four tables from the study comparing Apple’s 30% rate to other platforms:

The study concludes:

Our study shows that Apple’s App Store commission rate is similar in magnitude to the commission rates charged by many other app stores and digital content marketplaces. The commission rates charged by digital marketplaces most similar to the App Store, such as other app stores and video game digital marketplaces, are generally around 30%.

Marketplaces that distribute digital content such as videos, podcasts, eBooks, and audiobooks generally charge commission rates of 30% or more. Commission rates charged by e-commerce marketplaces vary by industry but sometimes exceed 30%.

Many sellers currently sell (or previously sold) their goods through brick-and-mortar stores and marketplaces. We find that sellers generally earn a substantially lower share of total revenue from the distribution through brick-and-mortar stores and marketplaces than through digital marketplaces such as the Apple App Store.

You can read the full study from Analysis Group, entitled “Apple’s App Store and Other Digital Marketplaces,” right here.

9to5Mac’s Take

This marks the second time recently that Apple has supported a study from the Analysis Group that aims to defend and justify the 30% App Store commission. Last month, Apple touted a separate Analysis Group study that found the App Store facilitated $519 billion in commerce during 2023.

Regardless of these studies and their findings, it’s clear that Apple is starting to feel the pressure, not only from antitrust regulators but also from developers. In the European Union, Apple is officially under investigation for its conduct regarding the App Store and Apple Pay.

Meanwhile, today’s new study comes less than a week ahead of when Apple CEO Tim Cook will testify to the U.S. House Judiciary Committee as part of the antitrust probe into big tech companies. The probe aims to find out whether the largest tech companies are pushing unfair competition against small companies and whether these decisions affect consumers.

Between both of these studies and its response to the EU investigation, Apple has made its goal clear: distract from the antitrust and developer concerns by touting the overall economic impact of the App Store and by pointing fingers at the companies complaining. Apple is free to spin the narrative all it wants, but regulators and developers (of all sizes) believe that these issues warrant an investigation.

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How To View Purchases And Manage Subscriptions In The App Store On Apple Watch

As an Apple Watch owner, you already know of the many ways your wearable can benefit you. And when Apple introduced a standalone App Store app on Apple Watch, it was another great feature. You no longer have to open the store on your iPhone to browse or download apps for your Watch.

Along with this terrific way to get apps, the App Store also lets you manage your account, right from your wrist. Although limited, you can still do things like view purchases and manage subscriptions and here’s how.

Access your account in the App Store on Apple Watch

Once you navigate to the app and access your account, you can accomplish your tasks easily. So, let’s get started!

1) Open the App Store by pressing the Digital Crown and tapping it from your installed apps.

2) Scroll to the bottom of the App Store screen and tap Account.

3) You’ll then see tabs for Purchased, Subscriptions, and Updates. We’ll cover the first two options below. The Updates tab is simple one showing your available updates and recently updated apps.


Tap Purchased to see the apps you’ve installed. If you have Family Sharing set up, tap My Purchases to see your own or a family member’s name to see theirs.

You have a handy Search box at the top if you want to find a specific app. Or, you can scroll using the Digital Crown.

If you see an app that has the download cloud icon, that means you’ve installed it on another device, but the app is available for Apple Watch too. Tap that icon if you want to download it to your Watch.

You can also tap Open to launch an app or select one to view its App Store details.


Tap Subscriptions to see all app subscriptions, both active and expired. This includes subscriptions to any app, not just those available on or installed on your Apple Watch. And this is an important feature!

Say you’re lounging on the couch or by the pool and remember you subscribed to an app. You might want to see when it’s set to automatically renew and/or make sure to cancel the subscription before you’re charged again.

Having the Subscriptions section in the App Store on Apple Watch means you don’t have to jump up and grab your iPhone or Mac. You can manage that subscription from your wrist.

At the top of the Subscriptions screen you’ll see your Active subscriptions. You can also see the date each is set to renew. And if you’re curious about inactive ones, you have a section at the bottom for Expired subscriptions.

Tap to pick one and then you can review the auto-renew details. This lets you choose a different option such as a yearly subscription instead of a monthly one (for apps that offer options). If you select another renewal option, you’ll need to confirm by tapping Continue. And be sure to read the policy that displays for your change in terms.

If you don’t want to renew, scroll to the bottom of that screen and tap Cancel Subscription. If you are within a free trial period, you can tap Cancel Trial Period too. You’ll be asked to Confirm if you decide to cancel a subscription.

Wrapping it up

It’s nice that the App Store on Apple Watch gives you these features to manage your account. Whether you want to download an app that you installed on your iPhone or make sure to cancel a subscription for an app you no longer use, you can do it all from your wrist.

What do you think about the App Store on Apple Watch? Do you like it or do you prefer to still look for Apple Watch apps from your iPhone? Let us know!

Apple “Fully Prepared: To Fight For Ip Suit App Store Devs

Apple has struck out at Lodsys, the company threatening iOS app developers with legal action over alleged patent infringement, insisting that, as Apple is already a licensee of the contested patents, “the Apple App markers are protected by that license.” The company has promised that it is “fully prepared to defend license rights”; according to SVP and general counsel Bruce Sewell, MacWorld reports, “Apple is entitled to offer these licensed products and services to its customers and business partners, who, in turn, have the right to use them.”

Lodsys itself has confirmed that Apple has licensed the IP, and the argument appears to have arisen over whether it then has the right to allow iOS developers to use that IP in their own products. Sewell’s argument – which you can read in full in the full text of the letter to Lodsys below – is that, since developers actually use Apple’s own services, technologies and systems (which may or may not involve Lodsys patents) the developers are subject to Apple’s licensing rather than directly to Lodsys’ technologies.

It remains to be seen whether Lodsys will do as Sewell demands and “immediately withdraw all notice letters sent to Apple App Makers and cease its false assertions that the App Makers’ use of licensed Apple products and services in any way constitute infringement of any Lodsys patent.” The company is yet to respond.


May 23, 2011

Mark Small

Chief Executive Officer

Lodsys, LLC

[Address information removed]

Dear Mr. Small:

I write to you on behalf of Apple Inc. (“Apple”) regarding your recent notice letters to application developers (“App Makers”) alleging infringement of certain patents through the App Makers’ use of Apple products and services for the marketing, sale, and delivery of applications (or “Apps”). Apple is undisputedly licensed to these patents and the Apple App Makers are protected by that license. There is no basis for Lodsys’ infringement allegations against Apple’s App Makers. Apple intends to share this letter and the information set out herein with its App Makers and is fully prepared to defend Apple’s license rights.

Because I believe that your letters are based on a fundamental misapprehension regarding Apple’s license and the way Apple’s products work, I expect that the additional information set out below will be sufficient for you to withdraw your outstanding threats to the App Makers and cease and desist from any further threats to Apple’s customers and partners.

Second, while we are not privy to all of Lodsys’s infringement contentions because you have chosen to send letters to Apple’s App Makers rather than to Apple itself, our understanding based on the letters we have reviewed is that Lodsys’s infringement allegations against Apple’s App Makers rest on Apple products and services covered by the license. These Apple products and services are offered by Apple to the App Makers to enable them to interact with the users of Apple products—such as the iPad, iPhone, iPod touch and the Apple iOS operating system—through the use or Apple’s App Store, Apple Software Development Kits, and Apple Application Program Interfaces (“APIs”) and Apple servers and other hardware.

The illustrative infringement theory articulated by Lodsys in the letters we have reviewed under Claim 1 of U.S. Patent No. 7,222,078 is based on App Makers’ use of such licensed Apple products and services. Claim 1 claims a user interface that allows two-way local interaction with the user and elicits user feedback. Under your reading of the claim as set out in your letters, the allegedly infringing acts require the use of Apple APIs to provide two-way communication, the transmission of an Apple ID and other services to permit access for the user to the App store, and the use of Apple’s hardware, iOS, and servers.

Claim 1 also claims a memory that stores the results of the user interaction and a communication element to carry those results to a central location. Once again, Apple provides, under the infringement theories set out in your letters, the physical memory in which user feedback is stored and, just as importantly, the APIs that allow transmission of that user feedback to and from the App Store, over an Apple server, using Apple hardware and software. Indeed, in the notice letters to App Makers that we have been privy to, Lodsys itself relies on screenshots of the App Store to purportedly meet this claim element.

Finally, claim 1 claims a component that manages the results from different users and collects those results at the central location. As above, in the notice letters we have seen, Lodsys uses screenshots that expressly identify the App Store as the entity that purportedly collects and manages the results of these user interactions at a central location.

Thus, the technology that is targeted in your notice letters is technology that Apple is expressly licensed under the Lodsys patents to offer to Apple’s App Makers. These licensed products and services enable Apple’s App Makers to communicate with end users through the use of Apple’s own licensed hardware, software, APIs, memory, servers, and interfaces, including Apple’s App Store. Because Apple is licensed under Lodsys’ patents to offer such technology to its App Makers, the App Makers are entitled to use this technology free from any infringement claims by Lodsys.

Through its threatened infringement claims against users of Apple’s licensed technology, Lodsys is invoking patent law to control the post-sale use of these licensed products and methods. Because Lodsys’s threats are based on the purchase or use of Apple products and services licensed under the Agreement, and because those Apple products and services, under the reading articulated in your letters, entirely or substantially embody each of Lodsys’s patents, Lodsys’s threatened claims are barred by the doctrines of patent exhaustion and first sale. As the Supreme Court has made clear, “[t]he authorized sale of an article that substantially embodies a patent exhausts the patent holder’s rights and prevents the patent holder from invoking patent law to control postsale use of the article.” Quanta Computer, Inc. v. LG Elecs., Inc., 553 U.S. 617 (2008).

Therefore, Apple requests that Lodsys immediately withdraw all notice letters sent to Apple App Makers and cease its false assertions that the App Makers’ use of licensed Apple products and services in any way constitute infringement of any Lodsys patent.

Very truly yours,

Bruce Sewell

Senior Vice President & General Counsel

Apple Inc.

India Exclusive: Analytics And Big Data Salary Report 2024


Let us go a few years back (remember the pre-iphone era?), none of us imagined we would live in a world full of connected devices. Did we?

Today, we are living in a world where your refrigerator would text you saying, ‘Hey! I am running out of Apple Juice. Please bring some while coming home’. Just imagine, such an effortless life our ‘near’ future holds. And, this would all be made possible through our own ‘data’ and connected devices!

Companies have recognized the immense business value which can be delivered using data. Google, Amazon, Facebook, Baidu are just some of the companies which have made investments in data products such as self-driving cars, voice / image recognition, wearable devices etc.

This has caused a huge demand of skilled professional in data related jobs around the world. Job profiles such as Data Scientist, Data Analyst, Big Data Engineer, Statistician are being largely hunted by companies. Not only they are being handsomely paid, but a career in analytics has much more to promise.

And, this is just the beginning!

Launching Analytics and Big Data Salary Report for India

Analytics Vidhya in association with Jigsaw Academy has created this salary report.

We have interacted with more than a million data science professionals across the globe over the last 12 months. Through these interactions, we inevitably get a flavor of changes happening in analytics and data science industry. We are excited to launch our first ever Salary report for India. We believe that this report should bring out a lot of interesting trends about Analytics industry and its evolution in India.

We believe that this is the first time, when a study like this has been done at this scale (spanning more than 60,000 analytics professionals from India) and this should help people making critical career decisions about their future.

Why is this report important ?

After the U.S., India has the largest demand of analytics / big data / data science professionals. Amidst such demand, people find themselves confused to select an appropriate job profile for the best future.

Have you also asked yourself, “What set of skills do I need to increase my chances of getting higher salary ?”

And, many such question which you would have asked yourself at some point in time, this report has answers to all of your ingenuous questions.

This salary report is exclusively designed to give you a clear picture of analytics industry (job specific) in India. This will help people to understand the current trends in jobs, salaries, skills, locations prior to taking any job related decision in analytics.

Some Insights from the Report

Here’s a quick look at some essential insights from this report:

” A candidate having knowledge of R earns Rs. 10.20L yearly as compared to Python with Rs. 9.36L yearly.”

R is still the most used tool in analytics industry. No doubt, python is catching up fast. Hence, it is highly recommended once you have gained significant knowledge in one tool, move to the next. These days companies look for varied set of skills and talents.

“A professional with working knowledge of data science and big data earns 8% more than fellow data scientist”

Predictive modeling combined with big data results in a formidable combination of skill set. A candidate with Big Data and Data Science skills earn Rs. 13.10L yearly as compared to a candidate with only big data skills who earns Rs. 9.80 L yearly.

“Mumbai pays the highest salary among all cities in absolute numbers at Rs. 12.19L yearly. But, it is the costliest too.”

Good news for people staying nearby Mumbai ! Yes, your city pays the highest amount of salary to a data scientist. So, if you live nearby Mumbai, you should look for jobs in your city instead of thinking of relocating to a new city.

For more insights, you can download the complete report.

Methodology used for study

The data points include people who came into contact with Analytics Vidhya through our website, job platform, hiring competitions and other sources. This number also includes, but is not limited to, people applying for jobs on the Analytics Vidhya website, confidential searches, hackathons, and tie-ups with skill-enhancement partners.

The findings are open to biases arising from the nature of the jobs / competitions hosted on Analytics Vidhya’s website. However we believe that even with this bias, this first-of-its-kind study of the Indian Analytics industry and the thousands of analytics professionals it employs, reveals many fascinating ground realities.



You want to apply your analytical skills and test your potential? Then participate in our Hackathons and compete with Top Data Scientists from all over the world.


Data Indexing In Vertipaq: Row Store Versus Column Store

In this tutorial, we’re going to cover the difference on how data indexing works in a relational database versus in Vertipaq.

Relational databases store the data on a row by row basis. On the other hand, Vertipaq does it column by column.

Let’s see how these two ways of storing and indexing data could impact your report development process especially when running your queries.

Storing the data row by row is the traditional way of storing data. However, this process takes more time, which will impact your query’s performance.

Let’s say we have a table that contains the Brand, Color, Gender, Quantity and Net Price.

If we store everything in this table in a database, then it will store the data in a row by row basis. That’s why the traditional data storage structure is also called as row store.

First, in the same line, it will store the column headers found on the first row — Brand, Color, Gender, Quantity and Net Price. Then it moves on to the next line to store the first items under each column — A. Datum, Azure, a blank, 1, and 103.2. This continues row by row.

So how are we going to compute for the SUM of the Quantity using this data indexing method?

First, it starts with the first row, which contains the column headers. Then, it jumps into the next line and skips through the other pieces of data until it gets to the first quantity it sees, which is 1. Then it jumps from line to line, running through all the data each row contains and gathers all the quantities is finds.

Once it has set aside all the quantities from each row, that’s the only time that the calculation is completed.

You can probably imagine how tedious the process is if you’re preparing a Power BI report that uses a DirectQuery connection to a SQL data source. In this case, analysis services is going to convert the DAX code into the SQL language, then start going through the data structure row by row.

To avoid the lengthy process involved, you have the option to store the data on a column by column basis through Vertipaq when you choose import mode.

When you use column store instead of row store, the Brand, Color, Gender, Quantity and Net Price will each be stored in different data structures.

Because of this, the queries will be executed more quickly as compared to doing it from left to right.

To really see the huge difference between row store and column store, let’s do some test queries in both SQL and Vertipaq. The execution time should tell us how fast one process is compared to the other.

Let’s start with a simple query in SQL. We’re going to compute for the SUM of the Quantity column in the Sales table.

As you can see, the total execution time is 2.2 seconds.

Now, let’s go to DAX Studio and use the EVALUATE function to execute the same query. We need to turn on the server timings and wait for the trace to complete.

We also need to make sure that the “Clear Cache then Run” option is selected when we run the query.

Once the query is executed, you’ll see that it only takes 3 milliseconds to complete the same query we did in SQL earlier.

The results set should also match for both SQL and DAX Studio. If we put them side by side, you can see that we are returning the same value.

You can try running the query a few more times to see how consistent the execution time is.

This time, let’s compare the execution time when we’re running more complicated queries.

Let’s say we want to identify the SUM of Sales Quantity for each brand. To do this, we can use ADDCOLUMNS over the VALUES of each Product’s Brand. In the low context, we’ll also create a new table called Total Quantity where we’re going to CALCULATE for the SUM of the Sales Quantity.

If we run this code, you can see that the total execution time is 7 milliseconds.

In the background, this code is actually running two queries. The first one takes the Brand column from the Products table, then executes a LEFT OUTER JOIN on the Product Key columns from both the Sales column and the Products column.

The second query simply retrieves the Brand column from the Products table.

If I go to the results screen, you can see that the Total Quantity measure has been split based on each Brand.

Now let’s go to the SQL server and write the same query.

We’ll push the DaxStudio Sales table to the next line, referencing the Sales table AS S. Then, we’re also going to execute a LEFT JOIN in the DaxStudio Products table referenced AS P, with the S.Product Key equal to the P.Product Key. We’re also going to use P.Brand with the SUM of the Quantity and Total Quantity in the SELECT statement. Finally, we’re going to use GROUPBY for P.brand.

Once we run this code, we’ll get a table that contains the Total Quantity segregated by each Brand, which is the same thing that we previously got in Vertipaq.

As for the total execution time, it remains much slower at 2.5 seconds.

It’s evident how fast the column store through Vertipaq really is in comparison to the row store in a SQL database. This shows the importance of really getting to know the way data indexing works through different platforms.

It may seem like a small sacrifice at first if you still choose to go for the 2.5 seconds that the row store runs your query as compared to 7 milliseconds. But we all run several queries when we create our reports and all of those execution times will add up, impacting productivity and user experience in the long run.

Enterprise DNA Experts

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