Urgent.News

What's breaking now, across thousands of outlets.

AI

IBM connects enterprise AI orchestration to production readiness ahead of TechXchange

Enterprise AI orchestration must account for agents working across the data, applications and infrastructure businesses already use. As organizations move beyond experiments, running those systems consistently brings questions of access, oversight and operational control into sharper focus. Those deployment challenges will help shape the discussion at IBM TechXchange 2026, taking place Oct. 26–29…

IBM connects enterprise AI orchestration to production readiness ahead of TechXchange

IBM is preparing for the upcoming TechXchange conference in Atlanta by emphasizing the importance of enterprise AI orchestration and production readiness. Bruno Aziza, IBM's group vice president of software, data, AI, automation, and security, highlighted the need for a platform to manage the agents created by employees and ensure visibility into their deployments.

He stressed that governance will face challenges as the number of agents outpaces management capabilities. IBM's AI operating model aims to address hybrid data, operations, and automation complexities, with a focus on sovereignty and oversight across applications, clouds, and data. The company's Sovereign Core supports control across data, technology, operations, and regulations through over 200 compliance frameworks.

TechXchange will bring together practitioners to share experiences and solutions, with customer examples from organizations like Citigroup, CVS Health, and DoorDash. Aziza emphasized the importance of building a customer-centric culture and learning from peers to navigate the constantly evolving AI landscape.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at siliconangle.com →

More in AI

What are LLMs and How to Build Stuff Using it?

Ever wondered how AI models like ChatGPT, Claude, Gemini, Deepseek, Llama etc. understand and generate human-like text? The idea this whole post hangs on: an LLM only predicts the next token, so every…

Data hubs' troubled waters

The country is racing to power the global AI boom, but the unquenchably thirsty data centers it needs are already draining the water that sustains millions of lives.

More from Friday 9 October →