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Runtime: How Nestle modernized its data to deploy AI

+ a new Linux vulnerability stirs debate about how to respond, Salesforce goes shopping, and Marvel's optical ambitions.

Runtime: How Nestle modernized its data to deploy AI
Photo by Luke Chesser / Unsplash

Welcome to Runtime! Today: Nestle Group CDIO Chris Wright outlines how the food conglomerate's move to the cloud set it up for AI, Linux vendors race to deal with a critical vulnerability, and more.

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First up: Brewing a data strategy

Multinational corporations don't turn on a dime, but the speed at which AI is transforming digital operations these days leaves little room for error. After completing one of the largest ERP migrations to the cloud back in 2022, Nestle Group is now focused on modernizing its factories and streamlining its data pipelines to improve efficiency and set the stage for AI agents.

"It's moving so fast," Wright told The Stack in a recent interview. "It's not okay to just try and operate yesterday's model a bit faster," he said, referring to the challenges that AI security models like Anthropic's Mythos present to companies like Nestle, which operate complex physical supply chains alongside a sprawling digital estate.

The Big Interview: Nestlé Group Group CDIO, Chris Wright
270,000+ staff, 335 factories, 7,000 applications, 30 "billionaire" brands; a lot of spinning plates.

Its big move to Azure set the company up with the operational flexibility to deal with these new challenges, Wright suggested, giving the company's engineers the space to focus on business challenges rather than managing infrastructure. Now the challenge is integrating AI agents with existing applications, and "I would love the day that products emerge with the hyperscalers that manage this more effectively," he said.

But Wright has a clear view of what it takes to get massive companies like Nestle pointed in the same direction. "The people-change is every bit as important as the AI data technology change," he said. "Every bit as important, and it's harder."



The rest of The Stack

Bugging out: Cybersecurity models are finding vulnerabilities that have been hiding in plain sight for years in some of the most widely used software products in the world, and Anthropic's discovery of a new flaw in Linux set off alarm bells last week. However, finding a bug is one thing, while exploiting it is quite another, and debate over the severity of last week's notice continued into this week.

CVE-2026-98432: Fears mount over Linux kernel networking bug
Red Hat says RHEL 8, 9, 10 “directly exposed”, multiple AWS services need action; 2 million servers exposed?

Closing the Salesforce: Public sector organizations are in a tough place when it comes to upgrading their software systems; running outdated software makes them less efficient, but the price tag that comes along moving to a modern approach tends to irk budget watchdogs. HMRC defended its decision to spend $5.8 billion on a new CRM implementation from Salesforce because building its own platform would be too difficult and doing nothing to replace its aging system would leave it ill-prepared to serve the public.

"HMRC™ by Salesforce"? Tax office explains £4.4B CRM plan
What do you mean "build it"?

Crest the wave: Salesforce made its ninth acquisition of the year Monday with a deal for Cresta, a customer-service AI agent company focused on voice applications. After years of swearing off M&A deals, Marc Benioff is back to his old tricks.

Salesforce adds Cresta's customer-service agents as its pre-holiday shopping spree continues
Salesforce has now acquired two customer-service companies working on AI agents in as many months.

Boom or bust?: Marvell's decision to spend $115 billion on Lumentum's optical networking technology could give it a competitive boost against Broadcom as data-center operators upgrade their systems to handle AI workloads, especially as demand shifts to AI inference. But the eye-popping size of the deal fueled concerns about the staying power of the AI boom.

Marvell's history-making deal for Lumentum a test of the AI data center boom
The $115-billion all-stock deal hinges on demand for optical networking components to power AI inference.

Cracking open: Open models have been the talk of enterprise AI over the last several months as a vehicle for reducing AI spending, but how many people are actually using them in production? At martech Jasper, frontier models still power most of its internal and external-facing AI agents, but "I would say on a month-to-month basis we still see an increasing amount of usage of the open source models, and I expect that to only increase," CEO Timothy Young told The Stack.

Open models are having a moment, but martech Jasper still relies on the frontier
Jasper CEO Timothy Young explains how its product team is now "really building the system that is writing the code."

Stack ranking — Enterprise moves

Melissa Ribeiro and Brion O'Connor are the new chief people officer and chief marketing officer, respectively, at Netradyne.

Bahadir Onalan is the new vice president of engineering in Microsoft's CoreAI group, rejoining the company after nearly ten years in technology leadership roles at Amazon.


We're also reading:

They laid us off. We're rebuilding their SaaS: A new project from former employees laid off by Okta and Salesforce to build clean-room implementations of some of their services is sure to turn a few heads.


Thanks for reading — see you Thursday!

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