Market & Regulation
Google Pay Prepares for AI Agent Transactions
AI Newshigh confidence
Why it matters
- →Google Pay's update signals a shift towards machine-driven commerce.
- →The Universal Commerce Protocol simplifies AI agent interactions with payment systems.
- →Businesses must adapt to machine-readable data to stay competitive.
Google Pay is revamping its payment infrastructure to handle transactions initiated by AI agents, signaling a shift towards a machine-driven economy. The new Universal Commerce Protocol standardizes how AI agents interact with payment systems, aiming to simplify integrations for developers. A new Merchant Commerce Platform server will centralize transaction data and manage merchant integrations. This update underscores the importance of machine-readable data for businesses to remain visible in this evolving commercial landscape.
Read originalMore from AI News
© AI NewsMarket & Regulationbusiness
NBA to Implement AI for Out-of-Bounds Calls
The NBA is set to revolutionize its officiating by introducing an AI system for automatic out-of-bounds calls. This move follows a controversial call in the Western Conference finals, highlighting the need for more precise decision-making. The system will use AI and cameras to instantly determine possession, reducing the need for challenges and game stoppages. This development is part of the NBA's ongoing partnership with Sony's Hawk-Eye Innovations, which aims to enhance the accuracy and speed of officiating. While referees will still handle judgment calls, this technology promises to streamline certain aspects of the game.
AI News
© AI NewsMarket & Regulationbusiness
Google Integrates Display Ads into AI Demand Gen Platform
Google is overhauling its digital advertising strategy by folding Display Ads into its AI-centric Demand Gen platform. This marks a significant shift from the traditional Google Display Network, which relied heavily on manual controls for campaign management. Advertisers are now required to supply creative assets that Google's AI will dynamically assemble and optimize for platforms like YouTube and Discover. This transition reflects a broader industry movement towards AI-driven automation, compelling marketers to rethink their strategies and data infrastructures to stay competitive. The emphasis is now on achieving broader business outcomes rather than focusing solely on traditional metrics like click-through rates.
AI News
More in Market & Regulation
© SiftedMarket & Regulationbusiness
Ex-Spotify Exec Uses AI to Evaluate Startups
Henrik Landgren, a former Spotify executive, is leveraging AI to help venture capitalists discern which startups are likely to succeed. By employing cohort analysis, Landgren's approach aims to identify startups that are not just hype. This method groups startups by shared characteristics to predict their potential success, offering a more data-driven approach to investment decisions. The initiative reflects a growing trend of using AI to bring more precision and objectivity to the venture capital industry. This could potentially shift how investments are made, focusing more on data-backed insights rather than intuition alone.
Sifted
© SiftedInvestment · $50M
Market & Regulationbusiness
Ex-DeepMind Team Raises $50M for AI Startup Inherent
Inherent, a new AI lab founded by former DeepMind researchers, has secured $50 million in funding to develop 'AI-native science.' This approach aims to integrate human scientific inquiry with advanced AI systems to foster novel discoveries. The startup's platform, Faraday, seeks to address the limitations of current AI by identifying which scientific questions are worth pursuing. With backing from Index Ventures and Radical Ventures, Inherent is poised to explore the intersection of AI and scientific research, potentially transforming how breakthroughs are achieved.
Sifted
© TechCrunch AIMarket & Regulationbusiness
Glean's Revenue Hits $300M Amid AI Cost-Cutting Demand
Glean has achieved a remarkable $300 million in annual recurring revenue, tripling its figures in just 15 months. This growth is particularly notable as the company faces new competition from tech giants like Google and Microsoft in the enterprise AI search market. Glean's edge lies in its 'context graph' technology, which enhances AI efficiency by reducing computing costs for enterprises. This feature is increasingly appealing to businesses aiming to manage their AI budgets more effectively. As the market becomes more crowded, Glean's ability to offer tailored AI solutions gives it a significant advantage. The company's revenue model, which includes both consumption-based and hybrid pricing, reflects its adaptability to client needs.
TechCrunch AI