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Business Funding

1723 summarised stories about Business Funding, each linking back to the original source. Browse all topics →

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Saturday, 17 October 2026

ServiceNow AI Control Tower: Selling a penthouse while building the frame

SiliconANGLE 1 week ago 29 ● 2 sources

ServiceNow AI Control Tower is being positioned as an enterprise AI control platform that can discover and govern AI agents across models and clouds, while a field study challenges how complete its technical runtime enforcement and AI lifecycle evidence are versus other tools. The study was based on interviews with 15 large-enterprise customers conducted from September 15 through September 21, 2026, and ServiceNow also set a full-year AI ACV target of $1.5B. As a result, buyers are urged to treat Control Tower as strongest for governance workflows and operational action, and to verify where model validation evidence and real-time blocking are handled outside ServiceNow.

Susan Dell is the one running the Dells’ $10 billion giving operation—and her biggest bets are on kids, health care, and UT Austin

Fortune 22

Susan Dell runs the Michael & Susan Dell Foundation’s $10 billion giving and has concentrated its biggest bets on education, jobs/livelihood, and health, with UT Austin and health research as key priorities. In December 2025, the Dells committed $6.25 billion to fund $250 contributions for 25 million U.S. children. The initiative expands nationwide and supports new UT Austin facilities including an AI-focused medical center and advanced research, plus scholarships, housing, and supercomputing.

A 44-minute call and a memo: How Alexandr Wang won Mark Zuckerberg’s trust—and a $100 billion-plus AI bet

Fortune 5 ● 2 sources

Meta’s chief AI officer Alexandr Wang built and scaled the Muse personal AI agent after Mark Zuckerberg sought his advice, culminating in the rollout of Muse Wonder as a “frontier-class” model. Meta expects 2026 capital expenditures of $130 billion to $145 billion, nearly double last year’s $72.2 billion. The effort is driven by recruiting and internal rebuilding focused on getting a model that performs well enough to justify the larger AI spending.

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