#agentic-ai

#agentic-ai

"In agentic environments, agents mutate state across data, systems, and configurations in ways that compound fast and are hard to trace," says Pranay Ahlawat, Chief Technology and AI Officer at Commvault.

Agentic AI systems are designed to interpret user requests, select the appropriate models or tools, evaluate intermediate outputs, and refine their decisions over multiple steps. This iterative reasoning loop enhances the segmentation process significantly.

A key element of the project is discovering fundamentally new ways of working: Research that results only in incremental improvements in existing methods and models that already exist is specifically excluded from MATHBAC funding.

The IDEA program aims to help organizations make their data infrastructure AI-ready, addressing the challenge of data primarily designed for human use, which is not suitable for AI applications.

Rather than waiting for the agentic revolution, smart professionals are exploring automation with their colleagues to ensure the human stays in the loop during the shift to an AI-enabled organization. Professionals who want to feel more confident about agents should gravitate toward people who've had positive experiences with AI.

Liz Agent represents a major step forward in how our clients can interact with Seedtag's intelligence and use it to think through and strategise their campaigns. AI has always been part of our DNA. By leveraging agentic AI, we are allowing clients to plan and activate campaigns via natural conversation with Liz, empowering better media planning and faster execution.

Copilot Cowork brings together long-running parallel task completion inside of Microsoft 365 Copilot, with the agent able to complete work in the background so workers can focus on other tasks. This allows you to amplify your work and be more productive while you multitask and work across all kinds of different Microsoft 365 applications.

Unlike traditional AI systems that wait for prompts, agentic AI systems understand goals, make decisions, initiate actions, and continuously adapt based on outcomes. In Learning and Development (L&D), this marks a fundamental shift, from AI as a support tool to AI as an active learning partner.

In order to use agents or in order to use AI in IT operations, all of your systems need to be interconnected and what interconnects all of your systems is an automation platform. Interconnecting systems is only a piece of the puzzle though. There is also some well-founded concern about the autonomous AI systems we are moving towards. AI agents may make decisions and inferences, but enterprises remain hesitant to allow direct execution on production systems.

The standout feature of the Galaxy S26 Ultra is something no other phone has attempted at this level: a built-in privacy display. This is not a matte screen protector you peel out of a box or a software filter that dims your screen to a murky grey. Samsung has engineered this at the pixel level of the OLED panel itself, controlling how each pixel disperses light so that the display becomes unreadable from side angles while remaining perfectly clear head-on.