Category: AI and ML

    AIAI and ML

    Torq Secures $140M Series D at $1.2B Valuation to Lead AI SOC, Agentic AI Era

    Fueled by Massive Customer Adoption of AI Agents, Torq Scales the World’s First True AI SOC Platform and Accelerates Expansion into the U.S. Federal Market Torq, the established Agentic AI security operations pioneer, today announced it has closed a massive $140 million Series D funding round, propelling its valuation to...

    The post Torq Secures $140M Series D at $1.2B Valuation to Lead AI SOC, Agentic AI Era first appeared on AI-Tech Park.

    AI and MLAI Business StrategyChinaDeep DivesGovernance, Regulation & PolicyWorld of Work

    The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk

    Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes […]

    The post The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk appeared first on AI News.

    AIAI and ML

    Algolia takes on the Next Era of AI-Driven Retail at NRF 2026

    Featuring Algolia Board Member Bernadette Nixon with David Clark, Chief Customer Officer at Frasers Group, and Jennifer Myers, Microsoft Shopping, to discuss how AI agents and adaptive commerce are reshaping retail Algolia, the AI Search and Retrieval platform trusted by more than 18,000 businesses and millions of developers worldwide, today...

    The post Algolia takes on the Next Era of AI-Driven Retail at NRF 2026 first appeared on AI-Tech Park.

    AI and MLAI Business StrategyAI in ActionFeaturesInside AIWorld of Work

    Datadog: How AI code reviews slash incident risk

    Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale. For engineering leaders managing distributed systems, the trade-off between deployment speed and operational stability often defines the success of their platform. Datadog, a company responsible for the observability of complex infrastructures worldwide, operates under intense […]

    The post Datadog: How AI code reviews slash incident risk appeared first on AI News.