AI technology

Dreamforce 2026 puts the agentic enterprise on trial in San Francisco this September

Salesforce's Dreamforce 2026 runs September 15 and 17 in San Francisco, centering on the "Agentic Enterprise" and autonomous AI agents.

OpenAI's $150 million enterprise push puts forward deployed engineers inside client operations

OpenAI launched a standalone services firm and a $150M partner program to close the gap between AI model access and real enterprise deployment.

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.

Spectro Cloud closes $100 million Series D to push AI infrastructure into enterprise production

Spectro Cloud has raised $100M in Series D funding to scale its Palette AI platform for enterprise AI workload management across cloud, edge, and government.

AI governance gaps are blocking enterprise scale-up across the Middle East

Many enterprises stall AI adoption not because of technology limits, but because internal governance frameworks haven't kept pace with deployment speed.

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.

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’…

The Future of Data Management According to the Father of Edge Computing

The increasingly endless pool of data that businesses generate is becoming increasingly difficult to sort and analyze. Businesses are inundated with data that compounds daily as IoT and AI technology continues to evolve. And unless a business is properly set up to collect, store, and analyze the data they collect, the data itself becomes virtually…