Can data, AI and agility enable merchants to navigate economic volatility and scattershot tariff policies? Shopify is betting on it.
IBM said quantum computing will hit quantum advantage in 2026 starting with chemistry use cases followed by optimization and mathematical computation.
IonQ just keeps buying quantum networking companies. The company is determined to become a leader in quantum networking as it acquired two more companies--Lightsynq and Capella Space--to flesh out its quantum internet roadmap.
ServiceNow enhanced its Workflow Data Fabric with a network that includes more than 100 data partners and acquired Data.world, a data catalog and governance platform.
Microsoft said it will support Google Cloud's Agent2Agent (A2A) standard in Azure AI Foundry and Copilot Studio.
SAS launched a bevy of updates or its Viya platform including synthetic data, tools for building and deploying AI agents, and managed cloud services. The company also launched new AI models and digital twins for manufacturing.
The chipmaker, which is playing catch up to Nvidia in AI infrastructure, reported first quarter earnings of $709 million, or 44 cents a share, on revenue of $7.4 billion, up 36% from a year ago. Non-GAAP earnings were 96 cents a share.
ServiceNow and UKG, a human resources and workforce management software provider, said they will integrate AI agents across their respective platforms using Google Cloud's Agent2Agent protocol.
ServiceNow's CRM's pitch is relatively simple: Solve issues fast, adapt, run customer operations at half the cost and go live quickly. The approach is to service, sell and deliver on one platform that combines AI, data from multiple systems including inventory, contracts and operations and workflows.
Cisco said its quantum networking chip prototype was developed with UC Santa Barbara and generates up to 1 million entangled photo pairs per second at room temperature.
Dynamics 365 Business Central is typically aimed at smaller enterprises. Microsoft is raising storage tiers and pricing for new AI features.
IBM CEO Arvind Krishna said there is no law that enterprise AI has to be expensive, pegged to large language models and experimental.
