TECH NEWS

Microsoft is spending $2.5bn on deploying AI engineers to its customers

Microsoft Frontier Company to embed 6,000 engineers and specialists into customer organizations
Backed by $2.5 billion in Microsoft funding, it will help customers transform with custom AI
This is the "largest" of its type, 2.5x the value of Amazon's alternative

Microsoft has launched a brand new subdivision to expand its own AI consultants into customers' companies backed by a massive $2.5 billion investment.

The new Microsoft Frontier Company will embed more than 6,000 specialists, AI engineers and technical experts directly inside customer organizations to help build, deploy and optimize their own AI strategies.

Microsoft described it as the "largest, most capable, outcome-driven engineering organization in the industry" – the scheme comes days after Amazon announced a similar scheme backed by $1 billion.

Microsoft launches forward-deployed engineer (FDE) program for AI

Though similar in concept to other FDE programs, Microsoft believes its Frontier Company will be different in that it adds...

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I tested the new Claude Desktop on Linux - here's how it compares to rival apps

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'The challenge is no longer only how much power is needed, but whether it can be delivered reliably': Report finds AI data centers are draining more power than the grid can provide

* Electricity demand is now growing faster than energy suppliers can keep up with * Volatile AI workloads cause unpredictable peaks and troughs in demand * AI could actually help predict, despite also being the cause With three in four (77%) electricity execs now believing that data center energy demand will grow faster

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Shift into high gear with agents: Securing the software-defined vehicle

The automotive industry is at a pivotal crossroads as it hits the gas on adopting new technology. The era of the traditional connected vehicle has shifted into the age of the software-defined vehicle (SDV), notable for rapid innovation with many new capabilities delivered over the air. By integrating AI and

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What billions of AI predictions taught Expedia before the age of AI agents

There's an important distinction between AI that just works today, and AI that lasts at scale. Many companies optimize hard for the first one without ever asking whether they're building the second. Velocity without discipline and strategic direction is a liability, not an asset. The hardest

Microsoft launches forward-deployed engineer (FDE) program for AI

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I tested the new Claude Desktop on Linux - here's how it compares to rival apps

'The challenge is no longer only how much power is needed, but whether it can be delivered reliably': Report finds AI data centers are draining more power than the grid can provide

Shift into high gear with agents: Securing the software-defined vehicle

What billions of AI predictions taught Expedia before the age of AI agents