惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

罗磊的独立博客
I
InfoQ
雷峰网
雷峰网
Hugging Face - Blog
Hugging Face - Blog
IT之家
IT之家
云风的 BLOG
云风的 BLOG
有赞技术团队
有赞技术团队
Martin Fowler
Martin Fowler
MyScale Blog
MyScale Blog
The GitHub Blog
The GitHub Blog
博客园_首页
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
G
Google Developers Blog
WordPress大学
WordPress大学
B
Blog
人人都是产品经理
人人都是产品经理
小众软件
小众软件
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
量子位
Apple Machine Learning Research
Apple Machine Learning Research
N
Netflix TechBlog - Medium
Last Week in AI
Last Week in AI
博客园 - 聂微东
Jina AI
Jina AI

The Register - Off-Prem

Enterprise cloud infrastructure uptake shows no sign of slowing The majority of corporate IT is now off premises for the first time Microsoft fiber foul-up cut off Azure California for almost five hours Web app turns your old phone into a new smart display Anyone with a shed, an extension cord, a couple of GPUs and an overdraft is building datacenters. Fujitsu just offloaded five Iran says it Google Cloud outage shows it’s still hard to understand hyperscalers’ real resilience regimes AWS customer learns the hard way how even the smallest oversight can be mission-critical Billing software error sends billion-dollar AWS estimates Top EU court clips YouTube AWS CloudFront outage serves errors instead of websites India’s tech services giant HCL is getting into the AI datacenter business Britain Microsoft shifts to annual exchange rate price revision for cloudy products Amazon’s Mechanical Turk to stop accepting new customers – and not even AI can save it Fire burns Google Cloud India’s network, which remains slow a week later EU sovereignty push gives tech buyers a new alphabet soup to swallow Google, Canonical team up to certify Ubuntu images for TPU VMs Arm moves into the heart of the cloud stack Snowflake to burn $6B on AWS Graviton CPUs and AI accelerators Big Tech extracts retirement-scale wealth from UK internet users, research shows Open Compute urges local government to bask in the warm glow of excess datacenter heat Google Cloud suspended major customer Railway.com without cause, causing outage Broadcom finds a VMware customer willing to stick around: London Stock Exchange Baidu says the quiet part out loud – you can’t build AI infrastructure, so clouds can cash in AWS racks M3 Ultra Macs that boast specs you can’t currently buy Tencent admits GPUs only pay for themselves when powering personalized ads Red Hat blasts RHEL 10.1 into orbit aboard Voyager's micro datacenter Sovereign cloud is only possible if you’re Chinese or American: Gartner Cloudflare to fire 1,100 staff whose jobs just aren’t AI enough
How ServiceNow gets customers to gorge at the AI trough
O'Ryan Johnson O'Ryan Johnson · 2026-04-14 · via The Register - Off-Prem

SaaS

'AI is now infused in every package that we offer to our addressable market,' SVP John Aisien told us

ServiceNow's latest product announcements show how hardcore the company has become about embedding AI across its go-to-market strategy.

ServiceNow senior vice president John Aisien, who oversees forward-deployed engineering and strategic partnerships with companies like Anthropic and Microsoft, outlined the major moves in a conversation with The Register.

“AI is now infused in every package that we offer to our addressable market,” he said.

For starters, ServiceNow has reorganized its pricing around three levels of AI capability. Customers can now choose the level of pricing that corresponds to their AI maturity.

Assistive AI summarizes data or generates content. Task Automation handles discrete jobs from start to finish. With Full Role Automation, AI workflows operate autonomously with minimal human oversight.

"Whether the organization is ready for assistive AI, AI automation, or full-blown role automation using autonomous AI, we've introduced a new packaging model that gives them access to the entirety of the ServiceNow price list organized into those three categories," Aisien said.

Aisien described the second announcement, Build Agent SDK, as "a real, real game changer." The tool is designed to let any developer create or modify ServiceNow applications from whatever coding environment they already use, whether that's GitHub Copilot, Cursor, Codex, or various natural-language "vibe coding" tools.

“We want the maximum number of developers in the world – regardless of the development form factor and the development experience that they got – we want those developers to have the ability to build ServiceNow workloads super quickly, and run those workloads,” he said. “Build agent SDK is the technical manifestation of making that promise real.”

Aisien described a life sciences company in Pennsylvania with about 8,000 developers, 650 of whom build on ServiceNow Studio. That leaves more than 7,000 who don't – not because they lack interest, but because developers tend to be loyal to their preferred tools. The Build Agent SDK is meant to meet all of those developers where they already work.

ServiceNow’s Context Engine, another new offer, is an enterprise spin on the kind of personalization that users see in consumer apps like Netflix and Amazon — systems that learn from every click, hover, and pause to serve tailored experiences. Enterprise software, Aisien said, has lagged behind in adopting that technology.

"That historical context and continuous learning, that's been the norm in consumer apps," he told us. "Enterprise software really hasn't learned that well-worn pattern. AI is now forcing this construct to become real. Why? Because AI is software and ultimately needs data with which to make autonomous decisions."

He described the context engine as essential infrastructure for making autonomous AI work at enterprise scale. He called it "one of the last-mile technologies needed for enterprise AI to get real."

“The context engine in the back-end says ‘I'm going to determine the intent of what this human being wants to do with the digital asset, depending on the questions they ask, depending on the interaction paradigm, and then depending on their identities and permissions in the back end,’ “ Aisien said.

ServiceNow also introduced the Enterprise Service Management Suite, a new bundled package targeting companies with roughly 1,000 to 5,000 employees. It combines IT, HR, supply chain, and finance service workflows into a single offering and pairs that with an AI-powered implementation agent that dramatically simplifies deployment.

Where traditional ServiceNow implementations could take six months or more, Aisien said the new approach can compress that to about 30 days. He said most of that elapsed time comes from organizational logistics, not configuration.

"Actual time in the UI is maybe a day or two," he said.

The implementation agent provides a conversational interface that guides administrators through setup without requiring deep ServiceNow proficiency.

Aisien tried not to oversell it.

"You don't have to be my mom, who's 80 years old and only uses an Android device" — but he said anyone comfortable with a chat interface should be able to handle it. ®