Ai Deployment

B2B Tech Asia Expo 2026 puts agentic AI at the center of enterprise automation

Jakarta's B2B Tech Asia Expo 2026 showcased agentic AI and no-code agent deployment as the next frontier for enterprise operations in Asia-Pacific.

Shadow AI is outpacing enterprise governance, Smarsh study finds

Only 26% of enterprises say AI governance keeps pace with deployment, and just 30% can detect shadow AI, per new Smarsh research.

Enterprise AI spending hits a wall: companies ration tokens, redirect budgets

Major enterprises including Uber, Meta, and Salesforce are cutting AI access and redirecting budgets as token costs surge past forecasts.

Logicalis earns Microsoft Frontier Partner status as enterprise AI deployments move past the pilot stage

Logicalis has achieved Microsoft Frontier Partner status and a Copilot specialization, signaling readiness to scale enterprise AI with governance built in.

Half of enterprises hit by AI agent security incidents as deployments surge, DigiCert finds

A DigiCert survey of 1,001 IT leaders finds 78% encountered AI security issues in six months, yet only half have formal governance programs.

Eighty percent of U.S. factories have no automation. Here's what's holding them back

Most U.S. manufacturers believe AI is critical to their future, yet few have deployed it broadly. The gap between intent and execution is widening.

Southeast Asia's enterprise AI push hits a familiar wall: data, talent, and integration debt

SEA enterprises are accelerating AI investment, but legacy infrastructure, talent gaps, and ERP friction continue to stall real deployment.

AI cost reality bites: Uber, Starbucks, and the enterprise ROI reckoning

Uber burned its entire 2026 AI budget in four months. Starbucks scrapped its AI inventory system after nine months. Enterprise operators are now demanding proof

Microsoft launches Frontier Co. with $2.5B and 6,000 engineers to embed AI into enterprise operations

Microsoft's new Frontier Co. subsidiary will embed 6,000 engineers and consultants directly with enterprise clients to accelerate AI deployment.

Enterprise AI moves from pilot to infrastructure as agentic platforms define the next buying cycle

Enterprise AI spending is accelerating fast, and agentic platforms are raising the bar on what production-ready deployment actually requires.

Enterprise AI adoption shifts from pilot projects to core business strategy

Enterprise AI is moving beyond experimentation into full-scale deployment, reshaping operations, decision-making, and competitive positioning across industries.

IBM study finds only 11% of tech executives ready for AI agent scale as control gap widens

A new IBM IBV study of 2,000 CIOs and CTOs reveals a widening gap between AI deployment speed and organizational control, governance, and financial visibility.

A Practical Guide to Modern AI Architecture, Workflow-First Thinking, and Scalable Business Value

Artificial intelligence has already moved beyond the hype cycle and into the day-to-day reality of business operations. Companies across industries are rushing to integrate AI into their workflows, but many are running into the same challenge: it’s relatively easy to build something that works in a demo, and much harder to make it reliable…

QumulusAI Provides A Clear Roadmap for Scaling AI Platforms to Thousands of Users

Scaling AI platforms can raise questions about how to expand across locations and support higher user volumes. Growth often requires deployments in multiple data centers and regions. Mazda Marvasti, the CEO of Amberd, says having a clear path to scale is what excites him most about the company’s current direction. He notes that expanding…

No Idle GPUs, No Data Leakage: QumulusAI Maximizes GPU Utilization for Multiple Customers on Shared Infrastructure

Multi-tenant GPU infrastructure is becoming essential as AI deployments scale across customers. Organizations must maximize GPU utilization while maintaining strict data isolation. Idle compute reduces efficiency, yet shared environments can introduce security risks if not designed properly. Optimizing GPU cycles across multiple customers is essential to maintaining performance and cost efficiency. Mazda Marvasti, the…

QumulusAI Brings Fixed Monthly Pricing to Unpredictable AI Costs in Private LLM Deployment

Unpredictable AI costs have become a growing concern for organizations running private LLM platforms. Usage-based pricing models can drive significant swings in monthly expenses as adoption increases. Budgeting becomes difficult when infrastructure spending rises with every new user interaction. Mazda Marvasti, CEO of Amberd, says pricing volatility created challenges as his team expanded its…

No Idle GPUs, No Data Leakage: QumulusAI Maximizes GPU Utilization for Multiple Customers on Shared Infrastructure

Multi-tenant GPU infrastructure is becoming essential as AI deployments scale across customers. Organizations must maximize GPU utilization while maintaining strict data isolation. Idle compute reduces efficiency, yet shared environments can introduce security risks if not designed properly. Optimizing GPU cycles across multiple customers is essential to maintaining performance and cost efficiency. Mazda Marvasti, the…

Applied Digital Ellendale AI Data Center: April 2025 Update

Progress continued throughout April at Applied Digital’s Ellendale AI Data Center, as construction efforts advanced across multiple fronts. With favorable weather conditions and a clear focus on critical infrastructure, the ELN02 site remains on track to support the growing demands of high-performance computing (HPC) and artificial intelligence. Key developments from April include: Metal jacketing installation…

IDC Smart Cities Awards: Edge Computing is Helping Virginia Beach Tackle its Flooding Crisis

In remote and disaster-prone areas, the rapid deployment of Internet of Things (IoT) technologies coupled with artificial intelligence (AI) has opened new vistas for emergency management and community safety in smart cities. These leading IoT deployments, highlighted at the recent announcement of the IDC Smart Cities Awards winners, solidified the role that edge computing…

As Organizations Ask If They “Should” Launch AI Projects, A Risk Management System Becomes Essential

Four major US AI firms, including Anthropic, Google, Microsoft, and ChatGPT’s creator OpenAI, have launched the Frontier Model Forum to address advanced AI risks and establish industry standards. This collaborative initiative emphasizes safety, security, and trust, with companies committing to risk management system tools like watermarking systems to differentiate AI-generated from human-produced content. Companies…

AI-Generated Designs Are Letting Architects Unlock New Forms of Creativity. How Should They Deploy It?

Generative AI in architecture is already evolving architectural workflows, and the creative results are proving themselves in real time. Tools like ChatGPT and Midjourney are acting as a dynamic platform for concept design and visual brainstorming, enabling the synthesis of diverse architectural styles and historical influences into fresh and innovative ideas. There’s still a lot…

Revolutionizing High Performance Computing

In today’s rapidly evolving technological landscape, the demand for high-performance computing (HPC) and supercomputing capabilities is skyrocketing. As businesses across various industries seek to harness the power of artificial intelligence (AI), automation, analytics, and complex code, finding a reliable partner that can provide comprehensive solutions becomes crucial. This is where Applied Digital comes in. Erik…

Unveiling Sai Computing: The Future of GPU-Powered Cloud Solutions by Applied Digital

Jason Zang, Co-founder of Applied Digital, introduced Sai Computing, the latest subsidiary of Applied Digital, at a recent event. Launched in May 2023, Sai Computing specializes in GPU cloud computing, catering predominantly to the high-performance computing and AI sectors. Their offerings span a range of services, from long-term, extensive GPU deployments under the “Reserve Compute”…