Can emerging AI technology become a differentiator on the trading desk? Trading has become a focus for innovation within the investment industry. The trading desk has been applying tech to address trading and operational efficiency challenges, market complexity, and keeping ahead of compliance and regulatory rules globally. One technology, artificial intelligence (AI), stands to become...
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1.As children spend more time in online gaming environments, what new risks have emerged that traditional moderation methods can’t keep up with? Traditional moderation tools typically rely on keyword filters or user reports, which means harmful behavior often goes unnoticed until after damage has been done. The reality is that risk in online games doesn’t...
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1.While AI adoption is accelerating, trust seems to be lagging. Why do you think consumers are hesitant to embrace AI-powered solutions? Because the pace of AI is so fast and the stakes so high, consumers often feel left in the dark. Transparency is inconsistent, and people want to know what these tools are doing, how...
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1. How does BubblyNet’s AI-enabled HVAC technology adapt in real time to changing building conditions? Our system creates a responsive, intelligent environment by using a decentralized network of IoT sensors that constantly communicate with each other. Instead of relying on a single, slow central hub, our technology processes data at the device level—what’s known as...
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Worldwide end-user spending on generative AI (GenAI) smartphones is projected to total $298.2 billion by the end of 2025, according to Gartner, Inc. a business and technology insights company. It will represent 20% of total AI end-user spending in 2025.
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Sydney, Australia – swampUP 2025 – September 10, 2025 — JFrog Ltd. (“JFrog”) (NASDAQ: FROG), the Liquid Software company and creators of the JFrog Software Supply Chain Platform, today announced JFrog AppTrust. JFrog AppTrust helps companies automate and better manage audit and compliance requirements across their software supply chain, reducing risk and increasing trust in applications.
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At Xperience 2025, Genesys® introduced advanced agentic AI agents for the Genesys Cloud™ platform, designed to help organizations orchestrate customer and employee experiences across enterprise systems. Enhancements to Genesys Cloud Copilots and Virtual Agents bring greater autonomy, contextual awareness, and support for Agent2Agent Collaboration (A2A) and Model Context Protocol (MCP), enabling AI to operate safely within enterprise guardrails.
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At Xperience 2025, Genesys unveiled major Genesys Cloud™ innovations designed to unify front- and back-office operations with AI-powered orchestration. The launch of Genesys Cloud Work Automation and Genesys Cloud Associate promises to transform how enterprises handle customer experience (CX) workflows by enabling AI agents to coordinate tasks across departments and partner with employees to drive efficiency and loyalty.
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At Xperience 2025, Genesys announced a deepened strategic partnership with ServiceNow to deliver Agent-to-Agent (A2A) orchestration, enabling AI agents across platforms to autonomously collaborate and deliver seamless customer experiences.
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