Apple Epic Trial

Apple's expert testimony in the Fortnite lawsuit details its App Store defense

Many of these arguments will be more succinctly argued in court by Apple's lawyers and supplied by its witnesses who testify live.

Apple's expert testimony in the Fortnite lawsuit details its App Store defense

The documents offer insight into how the various academics hired by Apple will argue against Epic's claims that the iPhone maker has a monopoly in iOS app distribution and payment processing.

Photo: Chukrut Budrul/SOPA Images/LightRocket via Getty Images

Apple on Monday filed expert testimony in Epic Games' antitrust lawsuit, which goes to trial on Monday. The series of documents, first spotted by MacRumors, offers insight into how the various academics hired by Apple argue against Epic's claims the iPhone maker has a monopoly in iOS app distribution and payment processing, which is at the core of its complaint stemming from the removal of Fortnite from the App Store last summer.


One key insight includes testimony from economist Francine Lafontaine, a professor at University of Michigan's School of Business, laying out how Safari acts as an alternative payment method for Fortnite's in-game V-bucks currency, in theory undermining the notion that Apple maintains strict control over the in-game economies of iOS gaming apps:

Even the rare consumer who has access to only an iOS device has a readily available game transaction alternative to the App Store--the Safari browser. For example, any Fortnite player can use Safari (or Chrome) to purchase Fortnite's in-game currency, 'V-Bucks,' a transaction that generates no commission for Apple.

In another piece of testimony, a survey conducted by Dominique Hanssens, a marketing professor at UCLA, said an overwhelming majority of participants use devices other than those made by Apple to "access digital gaming content":

Results of my first survey show that 92 percent of respondents who downloaded apps from the App Store had regularly used at least one other type of device (i.e., devices other than iPhones and iPads) with which they could access digital gaming content, in the last 12 months. Further, 99 percent of respondents in the first survey had regularly used or could have regularly used at least one other type of device (i.e., devices other than iPhones and iPads) with which they could access digital gaming content, in the last 12 months.

But perhaps the most consequential bit of expert testimony comes from economist Lorin Hitt, a professor at the University of Pennsylvania, who argues that Apple's share of the "digital game transaction market" is far from dominant:

My market share calculations support the conclusion that Apple does not have market or monopoly power in a properly defined market. Apple's share of the digital game transaction market lies between 23.3% and 37.5%. In light of my conservative approach, these market share estimates, especially at the high end, are likely to overstate Apple's true market share and are, in any event, inconsistent with Apple having substantial market power. The entry of new game transaction platforms is also inconsistent with Apple having market power.

Apple submitted hundreds of pages of testimony — Hitt's submission alone is 91 pages long — and many of these arguments will be more succinctly argued in court by Apple's lawyers and supplied by its witnesses who testify live. To that end, both Apple and Epic have submitted witness lists on Monday. From Apple we'll see CEO Tim Cook, App Store VP Matt Fischer, Senior VP of Internet Software and Service Eddy Cue, Senior VP of Software Engineering Craig Federighi, among others. And from Epic, we'll see CEO Tim Sweeney and Epic Game Store chief Steve Allison, among others.

Fintech

Judge Zia Faruqui is trying to teach you crypto, one ‘SNL’ reference at a time

His decisions on major cryptocurrency cases have quoted "The Big Lebowski," "SNL," and "Dr. Strangelove." That’s because he wants you — yes, you — to read them.

The ways Zia Faruqui (right) has weighed on cases that have come before him can give lawyers clues as to what legal frameworks will pass muster.

Photo: Carolyn Van Houten/The Washington Post via Getty Images

“Cryptocurrency and related software analytics tools are ‘The wave of the future, Dude. One hundred percent electronic.’”

That’s not a quote from "The Big Lebowski" — at least, not directly. It’s a quote from a Washington, D.C., district court memorandum opinion on the role cryptocurrency analytics tools can play in government investigations. The author is Magistrate Judge Zia Faruqui.

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Veronica Irwin

Veronica Irwin (@vronirwin) is a San Francisco-based reporter at Protocol covering fintech. Previously she was at the San Francisco Examiner, covering tech from a hyper-local angle. Before that, her byline was featured in SF Weekly, The Nation, Techworker, Ms. Magazine and The Frisc.

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FTA
The Financial Technology Association (FTA) represents industry leaders shaping the future of finance. We champion the power of technology-centered financial services and advocate for the modernization of financial regulation to support inclusion and responsible innovation.
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AWS CEO: The cloud isn’t just about technology

As AWS preps for its annual re:Invent conference, Adam Selipsky talks product strategy, support for hybrid environments, and the value of the cloud in uncertain economic times.

Photo: Noah Berger/Getty Images for Amazon Web Services

AWS is gearing up for re:Invent, its annual cloud computing conference where announcements this year are expected to focus on its end-to-end data strategy and delivering new industry-specific services.

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Donna Goodison

Donna Goodison (@dgoodison) is Protocol's senior reporter focusing on enterprise infrastructure technology, from the 'Big 3' cloud computing providers to data centers. She previously covered the public cloud at CRN after 15 years as a business reporter for the Boston Herald. Based in Massachusetts, she also has worked as a Boston Globe freelancer, business reporter at the Boston Business Journal and real estate reporter at Banker & Tradesman after toiling at weekly newspapers.

Image: Protocol

We launched Protocol in February 2020 to cover the evolving power center of tech. It is with deep sadness that just under three years later, we are winding down the publication.

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Bennett Richardson

Bennett Richardson ( @bennettrich) is the president of Protocol. Prior to joining Protocol in 2019, Bennett was executive director of global strategic partnerships at POLITICO, where he led strategic growth efforts including POLITICO's European expansion in Brussels and POLITICO's creative agency POLITICO Focus during his six years with the company. Prior to POLITICO, Bennett was co-founder and CMO of Hinge, the mobile dating company recently acquired by Match Group. Bennett began his career in digital and social brand marketing working with major brands across tech, energy, and health care at leading marketing and communications agencies including Edelman and GMMB. Bennett is originally from Portland, Maine, and received his bachelor's degree from Colgate University.

Enterprise

Why large enterprises struggle to find suitable platforms for MLops

As companies expand their use of AI beyond running just a few machine learning models, and as larger enterprises go from deploying hundreds of models to thousands and even millions of models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

As companies expand their use of AI beyond running just a few machine learning models, ML practitioners say that they have yet to find what they need from prepackaged MLops systems.

Photo: artpartner-images via Getty Images

On any given day, Lily AI runs hundreds of machine learning models using computer vision and natural language processing that are customized for its retail and ecommerce clients to make website product recommendations, forecast demand, and plan merchandising. But this spring when the company was in the market for a machine learning operations platform to manage its expanding model roster, it wasn’t easy to find a suitable off-the-shelf system that could handle such a large number of models in deployment while also meeting other criteria.

Some MLops platforms are not well-suited for maintaining even more than 10 machine learning models when it comes to keeping track of data, navigating their user interfaces, or reporting capabilities, Matthew Nokleby, machine learning manager for Lily AI’s product intelligence team, told Protocol earlier this year. “The duct tape starts to show,” he said.

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Kate Kaye

Kate Kaye is an award-winning multimedia reporter digging deep and telling print, digital and audio stories. She covers AI and data for Protocol. Her reporting on AI and tech ethics issues has been published in OneZero, Fast Company, MIT Technology Review, CityLab, Ad Age and Digiday and heard on NPR. Kate is the creator of RedTailMedia.org and is the author of "Campaign '08: A Turning Point for Digital Media," a book about how the 2008 presidential campaigns used digital media and data.

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