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AI in the Enterprise
News, analysis, and insights for IT leaders navigating the risks and rewards of AI
June 23, 2025
11 most in-demand AI jobs companies are hiring for
Organizations are optimistic about AI in the workplace, but rapid adoption has sparked the need for new hires to help design, develop, implement, and maintain AI tools and services.
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IBM combines governance and security tools to solve the AI agent oversight crisis
With AI agents multiplying across enterprises, IBMâs watsonxâGuardium integration aims to provide unified AgentOps visibility, automated red teaming, and regulatory accelerators to future-proof compliance.
Developers set the pace for genAI tools adoption
Generative AI vendors are quickly learning not to ignore developers, or developer experience, in the rush to bring new AI tools to market.
Metaâs $14.3B stake triggers Scale AI customer exodus, could be a windfall for rivals like Mercor
OpenAI, xAI, and Google are putting the brakes on their work with Scale, and more performant competitors like Surge are garnering more attention.
OpenAI walks away from Scale AI â triggering industry-wide rethink of data partnerships
Following Metaâs $14.3B stake in Scale AI, OpenAI exits the long-standing partnership, raising questions about vendor neutrality, talent wars, and the future of AI data governance.
Taking advantage of Microsoft Edgeâs built-in AI
Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?
Firecrawl: Easy web data extraction for AI applications
Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away web scraping complexities.
Google previews Gemini 2.5 Flash-Lite
Reasoning model optimized for cost and speed shines for high throughput tasks like classification or summarization at scale, Google said.
Retail versus finance: How genAI coding strategies diverge
A report from a code analysis vendor compares the details behind genAI rollouts between the two verticals, revealing that 61% of retail genAI code repositories show active development, compared to 22% of financial servicesâ repositories.
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