OpenAI has officially launched GPT-4.1 in its API, positioning it as a lower-cost, lower-latency alternative to the GPT-4.5 Preview, which will be deprecated on July 14, 2025. GPT-4.1 matches or exceeds GPT-4.5’s performance on many key benchmarks, making it a compelling upgrade for developers. This iteration emphasizes cost efficiency—charging less per token—while retaining advanced reasoning, creative generation, and multimodal capabilities. OpenAI recommends that teams begin transitioning from GPT-4.5 to GPT-4.1 now to avoid service interruptions. The move reflects OpenAI’s strategy of refining mature models for commercial use while retiring experimental versions once feedback is incorporated openai.com.

Actions” for Gemini AI Pro and Ultra subscribers, as well as qualifying Google Workspace business and education users. Announced at Google I/O 2025, this update lets you automate routine tasks—like receiving morning email digests, live sports updates, or calendar overviews—by converting existing prompts into recurring actions. A dedicated settings page lets you add, edit, or delete tasks, and one-time actions are also supported. Google plans to extend Scheduled Actions beyond individual users to enterprise clients, effectively embedding AI-driven automation into daily workflows. This move narrows the gap with competitors (notably ChatGPT’s Tasks feature), while deepening integration with Gmail, Google Docs, and other Workspace services—the kind of seamless automation that could redefine productivity for both personal and business users androidcentral.comtomsguide.com.

In a recent analysis by PropertyCasualty360, insurers are warned that poor data governance could cost them customer trust and competitive edge. With increasing regulatory demands and customer expectations, insurers face a tipping point. Firms still relying on siloed or outdated data systems risk making misinformed underwriting, pricing, and claims decisions. The article highlights real‑world cases where data inaccuracies led to compliance failures, underwriting losses, or customer churn. The piece urges insurers to embed master data governance (MDG), appoint clear data ownership, and build robust stewardship frameworks. Those who fail to act may see rivals gain advantage in agility and trust.
Source: [PropertyCasualty360 “Weak data governance will sink insurers in 2025”]

OneTrust introduced its Data Use Governance solution to close the enforcement gap between static policies and the real-time demands of AI initiatives. Traditional governance tools, built for slow-moving environments, struggle to keep pace with AI’s velocity, leading to compliance risks and bottlenecks. OneTrust’s approach translates documented policies—covering privacy, consent, and regulatory requirements—into machine-readable control code that enforces policies at the level of data queries. Key capabilities include AI-driven data classification (structured and unstructured), programmatic policy logic embedded in pipelines, real-time policy enforcement, and transparent auditing of controls like column masking and row filtering. By shifting from manual attestation to automated enforcement, organizations can accelerate data enablement, reduce approval cycle times, and support responsible AI innovation without sacrificing compliance. OneTrust claims this solution turns governance from a barrier into an enabler of AI-driven analytics onetrust.com.

Snowflake’s Summit 2025 unveiled “Standard Warehouse – Generation 2” (Gen2) and “Adaptive Compute,” innovations aimed at turbocharging analytics workloads and automating resource management. Gen2 delivers up to 2.1× faster performance on core analytics compared to previous warehouses, while Adaptive Compute dynamically right-sizes resources and routes queries, freeing teams from manual tuning and driving better price-performance. Beyond compute, Snowflake introduced AI-powered governance tools in its Horizon Catalog: Copilot for Horizon Catalog offers an LLM-driven chat interface for governance and security questions, and AI-led monitoring surfaces anomalies in data usage and policy violations. New Catalog-Linked Databases sync Apache Iceberg objects across catalogs, extending governance and discovery to multi-engine environments. These features aim to make compliance, data discovery, and incident response more intuitive—no SQL required—while immutable Snapshots support point-in-time recovery for regulatory and cyber-resilience needs. Snowflake positions these capabilities as foundational for businesses racing to innovate with AI, enabling faster insights, stronger trust, and seamless governance at scale snowflake.com.