scmp.com
AI at scale must be built on both trust and innovation
The future of AI, particularly agentic AI, hinges on robust governance, trust, and compliance as much as technological innovation, according to discussions at WAIC 2026.
Enterprise Ai
Stories tagged “Enterprise Ai.”
7 stories
techcrunch.com
A Marc Benioff-backed startup thinks AI can solve the AI deployment problem
June, a new startup backed by Marc Benioff's Time Ventures and other tech leaders, has emerged from stealth with $20 million in pre-seed funding to tackle the complex challenge of deploying AI tools within large enterprises.
anthropic.com
Cognizant and Anthropic Expand Partnership to Bring Claude to Enterprise Clients
Anthropic and Cognizant have expanded their partnership, with Cognizant embedding Claude across its internal platforms and scaling a Claude-certified workforce to deliver AI solutions to enterprise clients globally.
technologyreview.com
Agent confidence on the technical frontier
A new report reveals high confidence among technology experts in using agentic AI for various tasks, particularly in data workflows, driven by the promise of automation and ROI.
techcrunch.com
NEA’s Tiffany Luck says enterprises are still figuring out their AI ROI
NEA partner Tiffany Luck highlights the ongoing challenge for enterprises to measure the return on investment (ROI) for their AI spending, despite initial enthusiasm.
SpaceX is officially buying Cursor for $60 billion
theverge.com
SpaceX is officially buying Cursor for $60 billion
SpaceX is buying Cursor for $60 billion to enhance its AI capabilities and compete with OpenAI and Anthropic. The acquisition is expected to close in the third quarter of 2026.
AI agents are entering their rebuild era as enterprises confront the reliability problem
venturebeat.com
AI agents are entering their rebuild era as enterprises confront the reliability problem
Enterprises are rebuilding early AI agents around reliability, recovery, and observability instead of raw model performance. Temporal argues long-running workflows need a durable orchestration layer.