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The best voice models, now across all channels

Most CX platforms do not own the voice. They orchestrate a workflow, then call a third party for speech and transcription. Every hop adds latency, cost, and another vendor to manage.

ElevenAgents is the opposite. They make the voice models the market builds on, and ElevenAgents puts full orchestration on top. Voice, transcription, text-based chat, and reasoning run in one vertically integrated pipeline, so responses come back in <400 milliseconds and sound human, not synthetic.

Plus, you keep full control. Plug in any LLM, integrate tools, webhooks, and MCP servers, and ground responses in your knowledge base. Get an agent live in minutes, then A/B test with Experiments, enforce Guardrails, and version every change.

The payoff: more human conversations, lower latency, and far less time stitching infrastructure together. You build on the models you already trust. Pricing is transparent and flat at $0.08 per minute.

Contract Leverage
EU competition decision hands SAP customers more leverage in contract talks

The European Commission accepted official promises from a major software company that will stop the firm from locking users into rigid, costly plans.

Breaking the Support Lock

For years, companies felt stuck paying for support packages they did not want.

Now, businesses can legally split their software setup into parts and hire different, cheaper support providers for each section.

The new rules also mean companies can finally stop paying support fees for unused software licenses sitting on the shelf.

New Freedom to Cut Costs

The legal update introduces helpful rules for companies facing economic shifts or changing business sizes.

If an enterprise cuts its workforce by ten percent or more over two years, it can reduce its software licenses and fees by that same amount.

Companies that experience a business split or sell off a division can also transfer those software rights to the buyer without penalty fees.

Dropping Extra Fees

Returning to the original vendor after trying another option is about to get much cheaper.

The software giant agreed to eliminate extra return fees and lower back-maintenance charges for past absences.

These changes will remain in place globally for ten years, giving corporate tech leaders substantial leverage during upcoming renewal talks.

This landmark decision fundamentally shifts bargaining power back to business buyers, offering a blueprint for fairer software contracts worldwide.

Regulatory Strains
New York State just hit pause on the AI data center boom

Governor Kathy Hochul signed a special order that puts a one year freeze on new permits for these massive facilities.

Grid Strains and Local Costs

Local communities are pushing back because these large computing centers use massive amounts of electricity and water.

State leaders want to use this break to make strict rules that keep utility bills from going up for regular citizens.

The new plan might force these tech companies to build their own power sources or pay huge fees to fix the local energy grid.

What Corporate Leaders Should Watch

This freeze mostly targets giant facilities that require more than 50 megawatts of power, so smaller corporate computer rooms will not be affected.

Tech chiefs need to realize that building plans in this region now carry new timeline risks.

Some companies might try to build their centers in nearby states instead, though experts believe grid problems are becoming a national issue.

This historic pause shows that the rapid growth of artificial intelligence is hitting real physical limits with local power supplies.

๐Ÿ“บ๏ธ Podcast
Which Enterprises Will Waste Millions and Why

Tool Selections Over Strategic Logic

Enterprises are accelerating their spending on artificial intelligence much faster than their actual operational understanding. A major driver of impending project failures is the habit of purchasing complex platform licenses and signing model agreements before identifying a concrete, measurable business problem to solve. This backward approach mirrors the technical debt issues built up during the early days of cloud computing migrations.

Neglecting Fundamental Data Hygiene

The true value of corporate artificial intelligence relies on proprietary enterprise data rather than open model layers. Many organizations are throwing money at advanced tools while ignoring decades of fragmented, messy, and ungoverned internal data, hoping the system will magically correct itself during training. Without building a clean, structured, and single source of data truth first, the resulting models will remain largely worthless.

The Chasm Between Demos and Production

While flashy generative AI pilots look impressive to boards and executives, these siloed projects quickly collapse when exposed to real production complexities. Moving past the experimentation phase requires massive infrastructure investments, updated security architectures, unified governance, and deep cultural changes across the workforce. Treating these deployments as quick software installations instead of fundamental operational shifts guarantees severe budget losses.

Cloud Sovereignty
Airbus taps Scaleway for sovereign cloud services

Chief Digital Officer Catherine Jestin led the decision to move dozens of the company's most sensitive industrial and defense applications onto European soil.

Escaping Foreign Legal Reach

Airbus chose this new partner after checking more than one hundred and fifty strict technical and legal rules.

The main goal is to protect aircraft designs, engineering files, and military data from the American CLOUD Act, which allows foreign governments to demand data from United States tech firms.

By using local servers, the aviation firm ensures its intellectual property and core business plans stay completely under regional jurisdiction.

Moving Systems Off Big Tech

The corporate migration will start by shifting seventy core applications away from Amazon Web Services by the end of two thousand and twenty-eight.

Over the next six years, the planemaker might expand this regional platform to cover up to nine hundred different systems.

These systems run essential company tools, including manufacturing systems, client trackers, and custom artificial intelligence models developed with French startup Mistral.

Keeping a Balanced Mix

Airbus is not making a total break from global technology giants for its everyday business needs.

The company will still use American providers for general tools like office software and non-critical aviation data platforms.

This major shift proves that global industrial companies can find reliable local infrastructure to protect their most sensitive data.

AI Scaling
Sharon AI signs $1.32bn cloud computing service agreement with unnamed AI lab

Corporate leaders should note that the tech provider will build its first massive computing plant in New Zealand to handle the intense processing needs.

Chief Executive Officer James Manning explained that the region has excellent data center foundations and plenty of room for future growth.

The agreement will bring incredible computing strength to the area, creating a solid base for regional tech growth.

Staggering Amounts of Power and Chips

The contract relies on an immense scale of technology, using one hundred and thirty two megawatts of power capacity.

Almost all of this capacity is already claimed by corporate and government buyers who need massive amounts of computing power.

By the middle of next year, the tech firm plans to turn on more than sixty two thousand specialized Nvidia microchips to run the new system.

This historic contract highlights the staggering amount of money and hardware being spent to secure private infrastructure for advanced computing models.

Executive Shift
AWS cloud lead Dave Brown heads to Meta

Dave Brown, a long time senior vice president at Amazon Web Services who oversaw core infrastructure and artificial intelligence platforms, has decided to leave the top cloud provider.

Shifting to a Surging Competitor

The veteran infrastructure executive is moving to Meta Platforms after nearly two decades of helping build the world's largest cloud business.

His departure comes at a critical time, right as the social media giant reveals active plans to build out its own commercial computing network.

Market analysts believe this strategic hire will help the company turn its massive data center holdings into a competitive option for outside software developers.

The Race for AI Power

The platform provider is currently in early talks to lease out its massive computing infrastructure to artificial intelligence developers.

One potential multi-billion-dollar infrastructure deal under discussion could involve renting excess data center space to artificial intelligence startup Anthropic.

Bringing in a seasoned infrastructure chief will give the company immediate enterprise credibility as it tries to challenge traditional cloud providers.

This high-profile executive move signals that consumer technology platforms are moving fast to become major players in the commercial data center market.

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