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190 articles
Profound AI has raised $180 million in Series D funding at a $1.8 billion valuation, just seven months after its Series C round, signaling strong investor confidence in enterprise AI solutions.
Despite assurances from AI companies like OpenAI and Anthropic, enterprises remain skeptical about data usage, particularly when sensitive information is involved. Recent withdrawals by major firms like Palantir and Nvidia from using Anthropic's Fable model highlight a deep-seated trust problem in the AI industry.
This explainer explores the advanced AI reasoning capabilities demonstrated by Salesforce's Koa, built on Nvidia's Nemotron framework, and its implications for enterprise AI applications.
CIO Gill Haus of JPMorgan Chase emphasizes that successful AI implementation requires more than hiring engineers to write code. Instead, he prioritizes data quality, organizational readiness, and ethical governance as core fundamentals.
This article explains why many companies test AI agents successfully in small pilots but struggle to deploy them across their entire organization. It breaks down what AI agents are, how they work, and why real-world deployment is so challenging.
Top U.S. companies are cutting AI spending per employee by nearly 10% in August, as costs drop significantly and firms shift toward cheaper alternatives.
OpenAI introduces GPT-6 Astra, a next-generation AI model designed for enterprise use with advanced reasoning, computer interaction, and enhanced creative capabilities.
Top technology firms are spending less per employee on AI, despite overall market expansion, raising questions about the long-term trajectory of AI adoption.
This article explains the forward-deployed engineering model in enterprise AI, where specialized teams are embedded within client organizations to overcome deployment bottlenecks and ensure successful AI implementation.
M&T Bank has expanded enterprise AI use to over 15,000 employees, integrating AI into internal operations, customer service, and risk management. The move reflects a broader digital transformation strategy.
Security firm HiddenLayer raises $100M to address growing enterprise needs for AI deployment security. The funding reflects increasing recognition that AI systems require comprehensive monitoring beyond just the core agents.
Learn how Anthropic's Enterprise Frontier Safeguards (EFS) architecture enables privacy-preserving AI monitoring by storing monitoring data in customer cloud environments while maintaining automated detection capabilities.
