Protocol's long reads of 2020

Here are some of our favorite stories that we published in the last 12 months.

Protocol's long reads of 2020
Image: Protocol

As the year draws to a close, we thought this was also a good time to look back on some of our favorite Protocol stories of the year. Some broke big news, some illuminated people and stories we needed to know more about, and all are great and important tales.

Hopefully there's some good holiday reading in here for you.

A tiny team of House staffers could change the future of Big Tech. This is their story, by Emily Birnbaum

  • With so much antitrust action coming against Big Tech, it's tough to know what's real and what's posturing. This group is doing some of the Hill's most real work.

Through apps, not warrants, 'Locate X' allows federal law enforcement to track phones, by Charles Levinson

  • Babel Street's tech became a recurring story this year, led by this investigation into how the government tracks its citizens, and how a complicated system makes that possible. And profitable.

From McDonald's to Google: How Kelsey Hightower became one of the most respected people in cloud computing, by Tom Krazit

  • Kelsey Hightower's story is both inspirational and unusual, and his career says a lot about what a more diverse, more effective tech industry looks like. Hightower's also working hard to make that happen.

Silicon Valley's new extreme: The 2:30 a.m. tech bus from Salida, by Lauren Hepler

  • There are a lot of ways to understand what's been happening in Silicon Valley — and why a lot of people and companies are thinking about leaving — but the tech employees forced to live hours outside the city they work in tell the story pretty effectively.

How one woman is building the future for Google in Silicon Valley, by Anna Kramer

  • While so many companies are fleeing the Bay Area, Google is staying. Actually, it's doubling down. But there's a thin line between investing in your community and steamrolling it — and a few very important people are trying to keep Google on the right side.

How COVID-19 rewrote Y Combinator's Winter 20 Demo Day, by Biz Carson

  • It's been a weird year to be a startup, huh? There are good lessons for founders, investors and frankly everyone in what happened at Y Combinator this year, as it tried to figure out how to maintain a community and help guide startups through a pandemic.

How Discord (somewhat accidentally) invented the future of the internet, by David Pierce

  • Everything about the way we interact online changed this year. And while Zoom became 2020's buzziest chat company, Discord might be the closest to actually perfecting what it means to live a virtual life.

Alloy promised Democrats a data edge over Trump. The DNC didn't buy it. Now what? By Issie Lapowsky

  • As tech companies told us a lot this year, it's always an election season on the internet. And more than ever, data — who has it, how they get it, how it's used, how much you can trust it — is a huge part of the process. But data, as one company spent millions of dollars learning, is a tricky thing in the real world.

Why Microsoft's new Flight Simulator should make Google and Amazon nervous, by Seth Schiesel

  • Cyberpunk 2077 was supposed to be great, and was decidedly not great. The new Flight Simulator, on the other hand, was even better than advertised, and was also an indicator of how the cloud and big data are going to change how games work.

How Google kneecapped Amazon's smart TV efforts, by Janko Roettgers

  • One of the most forceful antitrust accusations against Google is that the company spends a lot of money to cement its dominance and bullies partners into helping it do so. This story — about how Google uses Android as a weapon — encapsulates that perfectly.
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.

The financial technology transformation is driving competition, creating consumer choice, and shaping the future of finance. Hear from seven fintech leaders who are reshaping the future of finance, and join the inaugural Financial Technology Association Fintech Summit to learn more.

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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.
Enterprise

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.

It will be the second re:Invent with CEO Adam Selipsky as leader of the industry’s largest cloud provider after his return last year to AWS from data visualization company Tableau Software.

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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.

As of today, we will not publish any more stories. All of our newsletters, apart from our flagship, Source Code, will no longer be sent. Source Code will be published and sent for the next few weeks, but it will also close down in December.

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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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