April 19, 2022
Illustration: Pixabay; Protocol
Hello and welcome to Protocol Enterprise! Today: a deadline to replace the default runtime technology in Kubernetes is looming, why even those close to the debate get confused between sentiment analysis and emotion AI, and Intel promotes a key leader to a new role.
Worldwide spending on cloud computing is approaching a milestone. Gartner predicted Tuesday that spending on cloud services in 2022 will grow 20.4% to $494.7 billion, and will reach $600 billion next year.
A major change is coming to Kubernetes, the open-source project at the heart of many modern cloud deployments: a breakup, of sorts, with its legacy Docker container runtime.
Built-in dockershim support for the Docker Engine runtime will be removed from the upcoming new release of Kubernetes, version 1.24, which was supposed to arrive this week but now has May 3 as a scheduled release date. The change requires users who want to be running the latest version of the container-orchestration system to shift to another runtime that’s compatible with Kubernetes’ Container Runtime Interface (CRI) if they haven’t already, or to use dockershim’s external replacement, known as cri-dockerd.
Developers use containers to speed up software development because they isolate all that’s needed to build and deploy applications without the overhead of an operating system. Early versions of Kubernetes worked only with Docker Engine as a container runtime, which is software that can execute the containers making up a Kubernetes pod.
“It's a great time to move on,” said Mrunal Patel, senior principal software engineer for Red Hat OpenShift, a hybrid-cloud, Kubernetes application platform. “These alternative runtimes have been proven in production already, so users shouldn't be afraid of this change. We should usher in this new era of CRI-based runtime that will help us move faster in adopting newer features.”
Those using a managed Kubernetes service from a cloud provider likely can just sit back if they haven’t explicitly changed their container runtime, according to Kat Cosgrove, developer advocate for cloud engineering company Pulumi.
Those who stick with the latest version of Kubernetes with dockershim eventually risk operating without security fixes while also not benefitting from new features, according to Patel.
In a complex technological environment, when a business needs to pivot quickly in reaction to external forces, the “as-a-service” model of delivery for IT hardware, software and services offers companies of all sizes the ultimate flexibility to stay competitive with a scalable, cloud-like consumption model and predictable payment options for hardware and service inclusions.
When Zoom introduced new features last week to analyze customer sentiment during sales or business meetings based on conversation transcripts, the company said it is also considering the addition of a different but controversial form of AI to that service in the future: emotion AI.
Although both sentiment analysis and emotion AI aim to understand people’s attitudes and feelings, many researchers and experts agree that they are two very different things, even when sentiment analysis incorporates AI approaches such as deep learning.
Still, sometimes the terms have been used interchangeably, which might cause confusion.
Sentiment analysis tools mine text to gauge people’s opinions or attitudes toward something. Since the early days of social media, sentiment analysis and social media monitoring software providers have categorized the text in public posts, tweets and product reviews, analyzing their content in an attempt to determine what social posts say about products, retailers, restaurants or even politicians.
Even though emotion or affect AI attempts to detect people’s sentiments, it goes about it in a different way and uses forms of data that classic sentiment analysis does not. While sentiment analysis is all about words and text, emotion AI typically is about the face and facial expressions.
Nazanin Andalibi, an assistant professor at the University of Michigan School of Information who studies AI used to detect emotion, agreed that there are distinctions to be made between sentiment analysis and emotion AI, and that concerns around validity or bias may be more or less pronounced depending on what data sources are used and what is being measured.
However, she sees deeper connections between sentiment analysis and emotion AI.
“One of the critiques I have of existing discourse around emotion AI is that there is so much focus on facial recognition,” Andalibi said, pointing to other affective computing systems intended to detect emotion that use data including text, social media data and other computing behavior data, as well as biometric data such as voice and facial data.— Kate Kaye (email| twitter)
It’s been almost six months since Congress passed the landmark $1 trillion Infrastructure Investment and Jobs Act. What progress toward those goals have we seen so far — and what can we expect in the next six months?
In this Protocol virtual event on April 21 at 9 a.m. PT, we will explore how the infrastructure bill rollout is going and what it means for you. Join Protocol’s Issie Lapowsky in conversation with Alan Davidson, assistant secretary for Communications and Information, U.S. Department of Commerce; Nicol Turner Lee, senior fellow and director of the Center for Technology Innovation, The Brookings Institution; and Angela Siefer, executive director, National Digital Inclusion Alliance. RSVP here.
Intel promoted the company’s head of its graphics processor efforts, Raja Koduri, to the role of executive vice president, CEO Pat Gelsinger said Tuesday. Koduri has overseen Intel’s years-long plan to build a separate graphics chip to compete with offerings from Nvidia and AMD.
Gelsinger described the company’s plans around graphics and accelerated computing as critical to its overall plans for growth. Intel launched its first graphics chips that resulted from the five-year push to enter the graphics processing unit market in March.
Koduri joined Intel in 2017 after spending years as AMD’s chief architect for graphics chips, and now heads Intel’s Accelerated Computing Systems and Graphics Group. At its investor day earlier this year, Intel said that it expects $1 billion in graphics chip sales this year, and more than $10 billion in annual revenue by 2026.
IBM reported $14.2 billion in first-quarter revenue, up 7.7% compared to the same period last year and ahead of Wall Street expectations.Zendesk could be the next enterprise software company to wind up in the hands of private equity, after Bloomberg reported Monday that the company was exploring a sale.
Lenovo’s broad portfolio of end-to-end solutions provide organizations with the breadth and depth of services that empower CIOs to leverage new IT to achieve their strategic outcomes. Organizations also have the flexibility to scale and invest in new technology solutions as they need them.
Thanks for reading — see you tomorrow!