#agentic-ai

#agentic-ai

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.

Nobody wants anything that is sloppy in terms of AI creation. Nadella was talking about AI assistants, agentic AI, augmenting work, and ensuring that the next person in the data chain understands how the output was produced. However, the CEO of Microsoft dropping the word 'sloppy' following his well-publicized request that we all move on from denigrating the output of AI is certainly an eyebrow-raiser.

AI reveals a hidden, outdated assumption: that humans will continue to serve as the "digital glue," manually connecting disparate systems, teams, and decisions. For decades, enterprise software perpetuated a model of sequential handoffs, in which people managed data entry, reconciled conflicts, chased approvals via email, and updated spreadsheets. This structure was manageable when uncertainty was low and delayed decisions were affordable.

Researchers have discovered that a compromised npm publish token pushed an update for the widely-used Cline command line interface (CLI) containing a malicious postinstall script. That script installs the wildly popular, but increasingly condemned, agentic application OpenClaw on the unsuspecting user's machine. This can be extremely dangerous, as OpenClaw has broad system access and deep integrations with messaging platforms including WhatsApp, Telegram, Slack, Discord, iMessage, Teams, and others.

AI agents need skills - specific procedural knowledge - to perform tasks well, but they can't teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering. The researchers looked at each task under three conditions:

AI models break down words and other inputs into numerical tokens to make them easier to process and understand. One token is about ¾ of a word. OpenRouter, which helps developers access different AI models, has seen activity roughly double in the first weeks of 2026. This is measured by the number of AI tokens OpenRouter processes. OpenRouter handled 13 trillion AI tokens in the week that ended February 9. That's up from 6.4 trillion during the first week of January.

Indian IT professionals worried about 72-hour workweeks might soon face the opposite concern, as Bengaluru-based outsourcing giant Infosys has partnered with Anthropic to bring agentic AI to telecommunications companies and other regulated industries. Anthropic and Infosys announced their collaboration plans on Tuesday, describing agentic AI as a core focus of their partnership. According to Infosys CEO Salil Parekh, the pair wants to combine their respective domain expertise to give businesses around the world a shot at actually getting some returns on their AI investments.