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The Stack

Interviews, insight, intelligence, and exclusive events for digital leaders.

 |  AI  | Mar 13, 2026
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Adobe CEO exits on a high, despite AI challenges
 |  GitHub  | Mar 12, 2026
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Microsoft-owned GitHub says it'll move 50% traffic to Azure by July to help with outages
 |  ERP  | Mar 12, 2026
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SAP says FPS01 puts S/4HANA one step short of autonomy
 |  AI  | Mar 12, 2026
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Cloudflare responds to web crawler feature backlash: 'we're here to help'
 |  Leadership  | Mar 11, 2026
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The Big Interview: New Look's COO on migrating to SAP, leaving IBM for Databricks and more...
AI  | Mar 11, 2026
/
Oracle shrugs off debt critics, touts AI "halo" in strong earnings

All the latest

All the latest

4077 Posts
SAP says it doesn't need to build data centres

SAP says "yay" to AI and open data and "nay" to building data centres.

Open source AI-staple Ray joins the PyTorch Foundation

The people behind the move tell The Stack why it will accelerate growth for Ray and its users alike.

Texas Instruments blames tariff uncertainty for slow chips growth

Data centres are a growing opportunity but TI could "do more".

A Metropolitan police car parked outside in the rain

The UK's largest police force's new Precise Policing market will explore further AI media processing tools.

Netflix uses 4 open source pillars to manage massive data flows

The streaming giant gives its data assets to the product-management treatment.

Veeam splurges $1.73bn on DSPM leader Securiti AI

Acquisition will bring Veeam's portfolio in line with competitors making similar data management moves.

Rust TARmeggedon shows "abandonware" risks

TARmageddon is a high-severity logic bug in async-tar / tokio-tar that all the Rust in the world can't protect you from – and which was made much harder to patch because of abandonware.

Here comes ChatGPT Atlas – but OpenAI warns users "think carefully"

An agent-mode was the focus of OpenAI's anticipated launch, though it knows the risks are aplenty...

7 models, 1 GPU: Alibaba pools out of NVIDIA scarcity

Production-tested token-level autoscaling can hugely reduce the need for chips to feed those inefficient LLMs, says Chinese cloud operator.

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