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Join our panel on Thursday, March 27, at 12 PM ET, as we explore: The patent landscape is evolving, and firms that fail to embrace AI-driven analysis risk falling behind. IP professionals must integrate smarter, more objective patent quality measures into their strategies to stay competitive. - The role of AI in delivering quantifiable patent quality metrics - Why patent quality scores matter for litigation risk assessment, licensing potential, and R&D alignment - The role of objective, data-driven insights in managing global patent portfolios - How analytics can improve decision-making and optimize IP investments

OpenAI is reportedly preparing to launch a suite of specialized AI agents with price tags ranging from $2,000 to $20,000 a month for skills like knowledge work and Ph.D.-level research. There will be three agent tiers: business professionals ($2k/mo), advanced software devs ($10k/mo), and PhD-level researchers ($20k/mo). Investor SoftBank has already reportedly committed $3B to these agent products for 2025 alone. The agentic offerings are expected to generate up to 25% of OpenAI's long-term revenue as the company expands beyond its current offerings. With price tags rivaling senior employee salaries, OpenAI is betting big that specialized AI agents can deliver enough value to justify the enterprise-level subscription. The move could set new precedents for AI agent pricing while revealing just how much companies are willing to pay for automated expertise. Read more here: https://buff.ly/DEdRex6

McDonald's is undergoing a massive tech transformation across its 43,000 restaurants, introducing new AI-powered systems for everything from equipment maintenance to maintaining order accuracy. McDonald's is deploying edge computing systems in partnership with Google Cloud, enabling real-time data processing and AI analysis directly in-store. The planned AI features include predictive maintenance for kitchen equipment, computer vision for order accuracy, and a “generative AI virtual manager.” The initiative aims to address customer pain points while supporting employees dealing with multiple ordering channels like drive-through and delivery. McDonald's also plans to leverage customer data and AI to deliver personalized promotions, like offering McFlurry deals on hot days based on purchase history. With 70M daily customers, even minor issues can pose major operational challenges. McDonald's can further boost efficiency by integrating AI into its vast operations. Read more here: https://buff.ly/U4rDF9O

Cohere's non-profit research arm, Cohere For AI, unveiled Aya Vision, an open multimodal AI that brings vision-language capabilities to 23 languages representing over half the world's population—setting new performance benchmarks. The model can interpret and describe images, answer visual questions, and translate visual content across diverse languages—from Vietnamese to Arabic. It has been released under a CC non-commercial license and can be accessed on Kaggle, Hugging Face, or via WhatsApp. Cohere has also open-sourced the Aya Vision Benchmark, which evaluates VLMs on open-ended questions around real-world, multilingual scenarios. Leveraging advanced AI won’t be limited to English-speaking audiences only, with users across the globe soon having access to a powerful universal visual translator. https://buff.ly/r0FsdDx

Amazon is reportedly developing an advanced reasoning AI model under its Nova brand—set for a June release—in what would be its most ambitious push yet to compete with OpenAI, Anthropic, and Google. The company aims to create a "hybrid reasoning" system that delivers quick responses and methodical, multi-step problem-solving through a unified model. Cost-effectiveness is a central focus, with Amazon looking to undercut competitor pricing while still delivering top-tier performance. Amazon has reportedly set ambitious goals to rank among the top five models, especially on benchmarks for software development and math skills. With an AI-enhanced Alexa+ also in the pipeline, the retail giant is quickly positioning itself as a serious contender across multiple fronts in the AI race. https://buff.ly/S7eMtVP

Cisco announced AI Defense, a new security solution designed to protect AI systems in a future where workforces will expand to include AI workers — including apps, agents, robots, and humanoids. They say that they developed AI Defense to protect both the development and use of AI applications. Overall, AI Defense safeguards against the misuse of AI tools, data leakage, and increasingly sophisticated threats. Cisco’s AI Defense combines two protections: monitoring third-party AI app usage and protecting sensitive data in custom AI development — addressing the growing risks of data leakage and unauthorized access. Enterprises are racing to adopt AI, and due to the rapid pace of the space, traditional security solutions are falling behind. Cisco aims to make AI Defense the global standard for AI security in the increasingly AI-powered world. Read more here: https://buff.ly/dYuTz8B

Read our latest Blog: Breaking Barriers: How Antitrust Shapes the Future of Innovation. From tech giants to pharmaceutical empires, the role of competition in driving innovation has never been more critical. But what happens when a few powerful players dominate an industry? Does regulation spark creativity, or does it hold businesses back? The debate over antitrust enforcement is intensifying. While some argue that breaking up monopolies unlocks new opportunities, others warn that overregulation creates uncertainty that stifles investment. So, where’s the balance? And how can companies navigate these shifting landscapes to stay ahead? Read more here... https://buff.ly/6SAzZSz

IP.com is proud to sponsor the Fifth Annual IPWatchdog LIVE Conference HAPPENING NOW! If you’re attending, come visit us to connect with our team, see how we can support your innovation strategy, & discover the latest advancements in the Innovation Power Suite. https://lnkd.in/eeESRyer

The Future of Intellectual Property in the Age of AI Innovation is evolving at lightning speed, and so are the challenges in protecting it. From AI-generated inventions to complex questions about patentability and copyright, the IP landscape is shifting dramatically. ·? How do we safeguard proprietary information in this digital age? ·? Who owns AI-generated ideas? ·? Can AI be listed as an inventor? IP.com sponsored this Engineering.com deep dive into how AI is transforming intellectual property. Don’t miss out on this crucial conversation! ?? Watch now: https://lnkd.in/eyizr-fF #Innovation #ArtificialIntelligence #IntellectualProperty #AIFuture #Engineering #IPStrategy #AIandIP

French AI startup Mistral just released Mistral Saba, a language model designed for Middle Eastern and select South Asian regions — marking the company’s first push into localized AI tailored for specific cultures and nuanced linguistics. Saba is a 24B model trained on Middle Eastern and South Asian datasets, offering faster and more cost-efficient performance than larger models. The model supports both Arabic and South Indian-origin languages like Tamil and Malayalam, addressing cross-regional linguistic and cultural needs. Saba is designed for conversational AI and culturally relevant content creation, enabling more natural engagement of Arabic-speaking audiences. It is available via API and via local deployment, with Mistral also revealing work on custom models for strategic enterprise customers. https://buff.ly/4b8JZks