Enterprise AI
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Google aims to put an AI agent on every desk.
Google Cloud launched Gemini Enterprise, an AI platform designed to streamline AI agent development and deployment, aiming to transform enterprise workflows. It features Gemini models, a no-code workbench, pre-built agents, and seamless data integration with systems like Salesforce and Microsoft Teams. Virgin Voyages and Macquarie Bank are early adopters, demonstrating productivity gains and widespread AI training. Gemini Enterprise emphasizes governance, security, and an open ecosystem. Pricing starts at $21 per seat for smaller businesses and $30 for larger organizations.
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Google Launches Gemini Enterprise to Empower AI-Powered Agents in the Workplace
Google Cloud has launched Gemini Enterprise and Business, subscription-based AI agents targeting enterprises of all sizes. Priced at $30/$21 per user monthly, these subscriptions enable businesses to create custom AI agents integrating with platforms like Box and Salesforce, and leverage pre-built Google agents. Model Armor, a built-in security feature, addresses data privacy concerns. Google aims to automate entire processes, differentiating from OpenAI’s plugin approach. Analysts emphasize security and continuous model upgrades (Gemini 3.0) as critical for wider adoption.
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Anthropic Plans Major International Expansion
Anthropic is aggressively expanding its global enterprise AI footprint, driven by surging international demand for its Claude models. The company plans to triple its international workforce and quintuple its applied AI team in 2025. Nearly 80% of Claude’s activity originates outside the US, with adoption rates exceeding US levels in countries like South Korea. Anthropic is establishing its first Asia office in Tokyo and scaling operations throughout Europe, focusing on industry-specific solutions and data sovereignty. This expansion intensifies competition with OpenAI, Microsoft, and Google.
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Samsung Benchmarks Enterprise AI Model Productivity
Samsung has introduced TRUEBench, a novel AI benchmark specifically designed to evaluate large language model (LLM) performance in real-world enterprise contexts. Addressing the limitations of traditional benchmarks, TRUEBench assesses AI across diverse business tasks, multilingual capabilities, and the ability to understand unstated user intents. It leverages a comprehensive suite of metrics across 10 categories and 46 sub-categories, based on Samsung’s internal AI deployments. Through its open-source platform on Hugging Face, Samsung aims to establish TRUEBench as an industry standard for AI productivity measurement.
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C3 AI Announces New CEO as Revenue Declines
C3 AI shares plummeted 14% after announcing Stephen Ehikian as CEO and releasing disappointing fiscal first-quarter results. Revenue declined nearly 20% year-over-year to $70.3 million, with a widening GAAP net loss of $0.86 per share. The CEO change, triggered by former CEO Thomas Siebel’s health issues, adds to existing concerns regarding restructuring strategies and recent sales underperformance, which Siebel attributed to the reorganization’s disruptive effects. Ehikian expresses confidence in capturing a larger share of the Enterprise AI market.
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Baidu Qianfan Launches DeepSeek-R1-0528: Rapid Integration for Large Language Models
DeepSeek has launched an updated R1 model, DeepSeek-R1-0528, improving complex reasoning, long-text handling, and code generation. This advancement positions the model competitively against industry leaders. Integrated with enterprise-focused features like enhanced security and robust infrastructure, the model offers batch processing, model evaluation, and customized LLM building. The upgrade seamlessly connects to application development, empowering businesses with advanced AI capabilities, including Retrieval-Augmented Generation (RAG).