Presentations — Benedict Evans
Every year, I produce a big presentation exploring macro and strategic trends in the tech industry. For 2024, ‘AI, and everything else’. In the last few years, I've given presentations for companies including Alphabet, Amazon, AT&T, Axa, Bertelsmann, Deutsche Telekom, Hitachi, L’Oréal, LVMH, Nasdaq, Swiss Re, Warner Media, Verizon and Vodafone. I gave a version of the latest presentation as a keyn
Re-thinking electronic mail
Abstract There are many problems with the existing Internet email system, such as spam, scam, surveillance, insecurity, centralization, and complexity. The problems are starting to outweigh the benefits of the system. Fixing the problems by evolving the current system seems overwhelmingly difficult. This essay examines some solutions to the problems on the assumption that a completely new, paralle
How Decryption of Network Traffic Can Improve Security
Most industry analyst firms conclude that between 80-90 percent of network traffic is encrypted today. Jeff Costlow, CISO at ExtraHop, explains why this might not be a good thing. Strong encryption is critical to protecting sensitive business and personal data. Google estimates that 95 percent of its internet traffic uses the encrypted HTTPS protocol, and most industry analyst firms conclude that
The Case of the Recursive Resolvers - Slack Engineering
Rafael Elvira Staff Software Engineer, Infrastructure On September 30th 2021, Slack had an outage that impacted less than 1% of our online user base, and lasted for 24 hours. This outage was the result of our attempt to enable DNSSEC — an extension intended to secure the DNS protocol, required for FedRAMP Moderate — but which ultimately led to a series of unfortunate events. The internet relies ve
TLSNotary
TLSNotary is a project of Privacy and Scaling Explorations, an Ethereum Foundation supported team. TLSNotary is an open-source protocol that can verify the authenticity of TLS data while protecting privacy. If you're looking for a way to make data portable without compromising on security, check out the protocol and integrate it into your applications! Why use TLSNotary?TLS (Transport Layer Securi
Google DeepMind
Research FermiNet: Quantum physics and chemistry from first principles Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light Company A new generation of African talent brings cutting-edge AI to scientific challenges Food security, healthcare and exploring the cosmos are among the ways students of a new pan-African Master’s
Cloud Pricing Comparison: AWS vs. Azure vs. Google Cloud Platform in 2024
Cloud Pricing Comparison: AWS vs. Azure vs. Google Cloud Platform in 2024 If you’re considering moving to the public cloud or optimizing the choice for your next project, picking between AWS, Azure, Google Cloud Platform, and Oracle can be a daunting task. […] If you’re considering moving to the public cloud or optimizing the choice for your next project, picking between AWS, Azure, Google Cloud P
How to Hack APIs in 2021 - Labs Detectify
Detectify Crowdsource is not your average bug bounty platform. It’s an invite-only community of the best ethical hackers who are passionate about securing modern technologies and end users. Crowdsource hackers Hakluke and Farah Hawa have joined forces on this guest blog on how hackers and defenders can (safely) hack APIs to help make the Internet safer. Baaackkk iiin myyy dayyyyy APIs were not nea
2021 Top Trending Machine Learning Topics
Thanks to insights from our ODSC West researchers, attendees, and instructors we’ve pulled together some of the trending machine learning topics of 2021. We’re excited to host some of the leading experts and top contributors in each of these topics. Here are a few of our top picks. MLOps Everywhere MLOps has been featured at ODSC since 2018, but it really took off in 2020. It seems every company i
世界の最大手企業は機械学習を活用したアプリケーションをどのように設計しているか | AI専門ニュースメディア AINOW
著者のDaniel Bourke氏はオーストラリア在住の機械学習エンジニアで、同氏が公開したさまざまな機械学習に関する記事はMediumでも人気があり、その一部はAINOWでも紹介してきました（同氏の詳細は公式サイトを参照）。同氏が最近Mediumに投稿した記事『世界の最大手企業は機械学習を活用したアプリケーションをどのように設計しているか』では、世界的な大手テック系企業が機械学習システムの設計に関して定めたガイドラインが解説されています。 機械学習を活用したアプリ開発がさかんになるにつれて、そのようなアプリ開発に対して同じようなアプローチが有効なことに気づかれるようになりました。そこでBourke氏は、機械学習を活用したアプリ開発に共通した設計指針を明らかにするために、Apple、Google、Microsoft、Facebook、そしてSpotifyの設計ガイドラインを調べてみました。
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
It is always the DNS
Predicting the Next OWASP API Security Top 10
https://techcrunch.com/2021/11/02/microsoft-launches-google-wave/
Office 365 Spy Campaign Targets US Military Defense
Good Leaders Know You Can’t Fight Reality
4 Key Questions for Zero-Trust Success
Winning the Cyber-Defense Race: Understand the Finish Line
GitHub - public-apis/public-apis: A collective list of free APIs
Black Hat USA 2021 Review
Black Hat: Novel DNS Hack Spills Confidential Corp Data