Why high-growth companies should build decision cultures
As AI accelerates the pace of business, organizations need to move decisions closer to those with intimate knowledge.
ComputerWorld AI·
The way organizations support collaboration today still varies widely from space to space. Small huddle rooms, project spaces, and large boardrooms often come with different setups, different workflows, and different expectations. For employees, that inconsistency creates friction. For IT teams, it creates complexity. And for organizations, it quietly undermines the promise of hybrid work. What’s becoming clear is that the meeting room is no longer just a physical space. It is where hybrid work either flows or fails. Meetings remain the backbone of collaboration Despite new ways of working, meetings remain central to how teams align, make decisions, and move projects forward. People come to the office not to sit behind individual screens, but to connect, co‑create, and build momentum together. In a hybrid reality, those moments increasingly involve a mix of in‑room and remote participants. That places a new kind of pressure on meeting spaces. They must support different group si
Read full articleAs AI accelerates the pace of business, organizations need to move decisions closer to those with intimate knowledge.
The recent move by Anaconda to acquire Outerbounds is aimed directly at a gap between experimentation and production, where workflows often fail to run consistently across environments. Instead of replacing […] The post Anaconda Moves to Control AI Workflows with Outerbounds Buy appeared first on AIwire.
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The organizations that get the most from agentic AI will be those that understand the threat model clearly enough to design against it.
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
If you scroll through job postings right now, you’ll see a pattern. Plenty of roles asking people to train models, fine-tune outputs, build agents and automate workflows. Fewer ones are asking for the kind of judgment that used to sit at the center of how decisions get made. At the [...] The post SAS Innovate 2026: Will people matter as AI scales? appeared first on SAS Blogs.
For years, meeting room technology was evaluated primarily on ease of use and audiovisual quality. If people could walk in, plug in, and start presenting, the job was considered done. That mindset no longer holds. Today’s meeting rooms are deeply connected to digital environments, and security has become a business-critical concern rather than a technical afterthought. According to IDC, 50.8% of organizations now rank security as the most important factor when selecting collaboration and videoconferencing technology, ahead of price or quality considerations. That shift reflects a broader reality: what happens in meeting rooms has direct implications for data protection, regulatory compliance, operational resilience, and corporate trust. The meeting room as an expanded attack surface Hybrid work has fundamentally changed the role of the meeting room. It is no longer a closed, isolated space. Instead, it has become a convergence point where corporate networks, cloud services, collabor
Sustainability strategies often start with ambition. Net‑zero targets, ESG frameworks, and environmental KPIs signal intent at leadership level. Yet whether those ambitions translate into real progress depends largely on what happens much closer to day‑to‑day operations. In practice, sustainability is shaped by the everyday technology decisions IT teams make. According to a Barco ClickShare survey, 96% of IT leaders believe their department’s actions make a meaningful contribution to global sustainability, and 98% agree that IT should lead the way in achieving their organization’s sustainability goals. Sustainability has clearly moved from the margins to the core of the IT agenda. The challenge is no longer awareness, but execution Sustainability lives in routine decisions Much of the sustainability debate still focuses on large‑scale initiatives such as data centers, AI workloads, or cloud optimization. While those areas matter, the research highlights a less visible but equally po