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Frontier AI models are actively breaching systems during testing, and enterprise security teams cannot ignore it

Meta, OpenAI, and Anthropic have all logged AI agents attempting unauthorized access during safety evaluations, forcing a reckoning for enterprise security team

B2B eCommerce's real barrier isn't technology, it's the complexity that digital moves, not removes

Manufacturers and distributors racing to digitize are discovering that platforms shift complexity rather than eliminate it, and loyalty, AI readiness, and data

Meta is building a cloud business to sell AI compute, putting pressure on AWS, Azure, and Google Cloud

Meta is forming a cloud unit to sell excess AI computing power to enterprise customers, setting up a direct challenge to the hyperscaler incumbents.

Agentic AI is rewriting the rules of B2B sourcing, and Alibaba's Accio is the latest proof

Alibaba's Accio platform adds autonomous sourcing agents as B2B ecommerce accelerates, with new players like Sazo bringing agentic AI to cross-border trade infr

Amazon Business reaches $60 billion in annualized gross sales as agentic AI rewrites B2B discovery

Amazon Business hits $60B in annualized gross sales while agentic AI agents begin replacing human-driven B2B product discovery.

DTCC's tokenization platform goes live with BlackRock, Goldman and JPMorgan as Wall Street's post-trade infrastructure moves on-chain

DTCC has launched its tokenization service into live production, completing real blockchain-based transactions with 25+ Wall Street firms.

Adobe is building an AI content empire through Firefly Foundry, Topaz Labs, and a string of capability acquisitions

Adobe is expanding its enterprise AI stack with Firefly Foundry, the Topaz Labs acquisition, and custom model tools aimed at brand consistency at scale.

Amazon Business hits $60 billion in annualized gross sales as agentic AI reshapes B2B procurement

Amazon Business has reached $60B in annualized gross sales, a milestone that arrives just as agentic AI begins rewiring how B2B buyers discover and purchase.

Salesforce pledges $1 billion to Switzerland as Agentforce moves from pilot to production

Salesforce's five-year, $1B Switzerland commitment backs Agentforce deployments already running at scale across healthcare, retail, ag, and events.

Agentic procurement doesn't build a leaner finance team: it builds a different one

The question landing in nearly every finance leader's inbox right now is some version of the same thing: what does AI actually change for our teams? It's a fair question, and the honest answer is that much of what's been marketed as transformation has fallen short of the label. Automation tools have

Chinese AI models now handle nearly a third of enterprise tokens at one-tenth the cost of US rivals

Open-weight models from DeepSeek, Z.ai, and ByteDance are capturing production workloads fast, and the price gap is driving the shift.

RainFocus connects Adobe Workfront and AEM to event workflows, closing the manual data gap for enterprise marketing teams

RainFocus launched two Adobe Experience Manager integrations that sync session data and enforce brand governance across large-scale event programs.

SpringDB clients double or triple conversions by treating ZoomInfo as a full GTM platform, not a single-team tool

Go-to-market consultancy SpringDB reports 2X–3X conversion lifts and 300% database usability gains after rebuilding client data on ZoomInfo's AI GTM platform.

Salesforce commits $1 billion to Switzerland over five years to expand Agentforce deployments

Salesforce is putting $1B into Switzerland over five years, backing agentic AI rollouts, workforce programs, and partner expansion across Swiss enterprise secto

SAP reshuffles spending and research to chase agentic AI returns

SAP is freezing non-AI hiring and travel while new research shows enterprise AI ROI jumping from 16% to 21% in 2026, with agentic AI expected to quadruple retur

AI monetization, model efficiency, and India's infrastructure gap define the industry's mid-2026 moment

Earnings season is surfacing real AI revenue, models are getting leaner, and India's chip deficit is forcing a rethink of AI sovereignty strategy.

Only 26% of enterprises have operationalized AI at scale, FPT-Forrester study finds

A Forrester Consulting study commissioned by FPT surveyed 397 global decision-makers and found a wide gap between AI investment and real enterprise-wide deploym

Global e-commerce market on track to nearly double by 2035, driven by mobile, AI, and D2C shifts

A new forecast puts the global e-commerce market at $19.83T by 2035, with AI personalization, D2C platforms, and mobile-first checkout reshaping how enterprise

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.

Meta's cloud ambitions emerge as EU tightens rules on AWS and Azure

Meta is building a cloud business to sell excess AI compute, while AWS and Azure face new EU Digital Markets Act scrutiny.

Amazon partners with Corning to power AI data centers in the U.S.

Amazon's billion-dollar deal with Corning highlights a critical shift in AI data infrastructure demands.

Cognizant deepens Snowflake CoCo alliance to push enterprise AI from pilot to production

Cognizant and Snowflake expand their CoCo platform collaboration, targeting production-grade AI agents across data, analytics, and business workflows.

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.

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…

QumulusAI Secures Priority GPU Infrastructure Amid AWS Capacity Constraints on Private LLM Development

Developing a private large language model (LLM) on AWS can expose infrastructure constraints, particularly around GPU access. For smaller companies, securing consistent access to high-performance computing often proves difficult when competing with larger cloud customers. Mazda Marvasti, CEO of Amberd, encountered these challenges while scaling his company’s AI platform. Because Amberd operates its own…

Facing High GPU Costs and Infrastructure Constraints, Amberd Turned to QumulusAI for Fixed-Cost AI

Providing managed AI services at a predictable, fixed cost can be challenging when hyperscaler pricing models require substantial upfront GPU commitments. Large upfront commitments and limited infrastructure flexibility may prevent providers from aligning costs with their delivery model. Amberd CEO Mazda Marvasti encountered this issue when exploring GPU capacity through Amazon. The minimum requirement…

Custom AI Chips Signal Segmentation for AI Teams, While NVIDIA Sets the Performance Ceiling for Cutting-Edge AI

Microsoft’s introduction of the Maia 200 adds to a growing list of hyperscaler-developed processors, alongside offerings from AWS and Google. These custom AI chips are largely designed to improve inference efficiency and optimize internal cost structures, though some platforms also support large-scale training. Google’s offering is currently the most mature, with a longer production…

OpenAI–Cerebras Deal Signals Selective Inference Optimization, Not Replacement of GPUs

OpenAI’s partnership with Cerebras has raised questions about the future of GPUs in inference workloads. Cerebras uses a wafer-scale architecture that places an entire cluster onto a single silicon chip. This design reduces communication overhead and is built to improve latency and throughput for large-scale inference. QumulusAI Senior Product Manager Mark Jackson says Cerebras’…