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AI Automation
AppZen Raises $180M to Scale Agentic AI for Autonomous Finance
AppZen, a leading Agentic AI platform for finance teams, has raised $180 million in growth funding, led by Riverwood Capital, a tech-focused investment firm. The Series D round will accelerate the adoption of AI-powered finance automation, enabling enterprises to convert manual workflows into autonomous digital coworkers. Read More
LSEG Data Goes Live on Databricks to Power Real-Time AI Finance Agents
LSEG and Databricks have teamed up to bring LSEG’s vast financial datasets directly into Databricks, making them instantly accessible for AI-driven investment analytics, risk management, and trading workflows. The partnership launches with Lipper Fund Data & Analytics and Cross Asset Analytics, with additional datasets—Pricing, Reference Data, Models (Starmine), Fundamentals, Estimates, Economics, and Tick History—coming soon. Read More
Infosys Expands AI-Powered IT Transformation Partnership with Sunrise Telecom
Infosys is doubling down on its digital transformation partnership with Switzerland’s Sunrise Telecom, aiming to accelerate the telco’s journey toward AI-driven operations. Sunrise, the country’s second-largest telecom provider, is working with Infosys to modernize its IT landscape, improve operational agility, and future-proof its technology environment. Read More
Lumen Scales U.S. Fiber Network to Power AI Economy with 47M Miles by 2028
Lumen Technologies (NYSE: LUMN) is making bold moves to become the backbone of the AI economy. With a multi-billion-dollar expansion already underway, the telecom giant plans to add 34 million new intercity fiber miles by 2028, bringing its total to 47 million miles. That’s enough fiber to wrap around the Earth nearly twice—and a clear signal that AI is driving network infrastructure like never before. Read More
1. Camunda emphasizes orchestration across people, systems, and devices. Why is this holistic integration critical for enterprise agility? Enterprise agility depends on people, systems, and devices being coordinated into unified, end-to-end processes. Too often, these different pieces – which also include AI tools and services by the way – are implemented in silos. Think about all... Read More
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