1. Can you explain how the introduction of self-managed Akka nodes changes the way organizations can architect their distributed systems?Tyler: Fundamentally, self-managed Akka nodes means that enterprises can gain all the traditional benefits of Akka – scalability, elasticity, availability – on any cloud infrastructure. By decoupling the runtime from the platform, self-managed Akka nodes shift...
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Australia has seen its fair share of tech hype including AI-powered tools that are little more than chatbots following a basic script. There’s nothing groundbreaking in old-school automation dressed up in fancy words. Now, agentic artificial intelligence (AI), an emerging disruptor that can think, adapt, and tackle dynamic, unpredictable problems with limited human oversight, is...
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Key performance indicators (KPIs) have been a useful business tool for a long time, but today they have an even more powerful, strategic lever: AI. KPIs have traditionally been used to track and measure progress towards specific objectives and it’s not uncommon for such KPIs to only be reviewed at the end of a particular...
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1. Could you walk us through how Pi agents function in real-time, especially when dealing with unpredictable variables? Pi agents operate autonomously across the end-to-end freight management cycle, from procurement through planning to payment, adapting in real time to unpredictable variables. Powered by Pando’s proprietary Logistics Language Model (LLM), Pi interprets contextual signals and executes...
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1. How does the platform accelerate time-to-insight compared to other AI solutions in the market? View AI stands out by enabling organizations to move from raw enterprise data to actionable AI experiences in a matter of minutes, not months. Unlike traditional platforms that require extensive coding, specialized teams, and lengthy development cycles, View AI leverages...
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Kyndryl, a leading provider of mission-critical enterprise technology services, today launched the Kyndryl Agentic AI Framework, a new approach to deploying agentic AI to augment human teams. The enterprise-grade Framework orchestrates and dispatches a portfolio of specialised, self-directed, self-learning AI agents that dynamically respond to shifting conditions and keep humans in the loop for oversight.
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Garbage in, garbage out. This old adage has never been more relevant. As businesses rack to unlock value from artificial intelligence (AI), the spotlight is shifting to the one system AI models can’t live without: the database. Today’s AI models rely on massive volumes of structured and unstructured data. It’s no surprise then that, with...
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Threat intelligence and security capabilities continue to outpace threats Global cybersecurity leader Trend Micro Incorporated (TYO: 4704; TSE: 4704) has announced that it has been recognised an unprecedented 20 consecutive times as a Leader in Endpoint Protection Platforms*. No other vendor has been named a Gartner Magic Quadrant Leader for so long in this category—which...
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JFrog Ltd (Nasdaq: FROG), the Liquid Software company and creators of the award-winning JFrog Software Supply Chain Platform, today unveiled a new Model Context Protocol (MCP) Server. This architecture enables Large Language Models (LLMs) and AI agents to securely interact with tools and data sources within the JFrog Platform directly from MCP clients, including popular agentic coding development environments and IDEs, boosting developer productivity and streamlining workflows.
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