Promises of AI in HR sound boundless, yet most programs stall where culture, data connectivity, skills, and ownership should carry the load but do not, and the pattern repeats because organizations chase tools before readiness and treat adoption as a tech rollout rather than a behavior change effort anchored in decisions. The State of HR AI in 2025: Big Promises,
The Price of Quiet: How Well-Meaning Leaders Drift Into Risk The quiet choice often feels elegant in the moment, yet CHROs and people leaders described a pattern in which unspoken tension around DEI, layoffs, benefits, burnout, and performance quietly multiplied into costly confusion, frayed norms, and corrosive doubt. Roundup contributors said silence helped sidestep political heat and social backlash, but
A Hard Question at the Speed of AI Budgets balloon while customer love stalls, raising a blunt question: is technology curing CX or accelerating chaos? Across boardrooms, initiative lists grow, tools proliferate, and dashboards multiply, yet satisfaction scores plateau and loyalty thins. Leaders feel the squeeze. Automation rolls out faster than purpose, and the gulf between promises and lived experiences
Lead: The Moment AI Met the Green Screen Across busy IBM i shops, a quiet shock rippled as developers watched AI assistants generate usable RPG, CL, and DDS in minutes—code that compiled, ran, and even passed early tests without the usual handholding many expected to be required for legacy platforms once considered immune to such leaps. That speed thrilled management
Lead Boardrooms across the industry are asking a sharper question than the hype allows, wondering which insurers will convert responsible AI at scale into lasting advantage before rivals do, while customers, regulators, and climate volatility raise the stakes of every decision. The clock is not just ticking on technology; it is ticking on execution. The spread between early winners and
Search is being rewired by AI so quickly that org charts, not algorithms, now decide who wins rankings, revenue, and brand presence at the moment answers are synthesized rather than listed. The shift is no longer theoretical; AI-mediated results are redirecting attention away from classic blue links and toward answer summaries, sidebars, and assistants. The organizations pulling ahead have not
Caitlyn Jones sits down with qa aaaa, a seasoned insurtech operator focused on commercial underwriting and risk decisioning. With deep experience embedding data and analytics into underwriting workflows, qa has helped U.S. carriers shift from reactive processes to proactive, insight-driven operations. In this conversation, we explore how integrating LexisNexis Risk Solutions data into the Cytora platform enables the first phase
Quarter after quarter, leaders reported more pilots, bigger AI budgets, and fresh training programs while outcomes barely moved because the wave itself had changed shape and speed, turning yesterday’s playbook into dead weight. The real divide was not between bold and cautious firms; it was between those that kept paddling harder and those that switched methods. Like tow-in surfing, the
Introduction Deals stalled in overflowing inboxes often revive when AI turns scattered documents, meetings, and messages into crisp next steps at the exact moment people need them, and that is precisely where Microsoft 365 Copilot steps in: it threads generative intelligence through Word, Excel, Outlook, and Teams to move work from idea to impact. The goal here is to answer
As Windows 10 support fades and procurement budgets strain, a $3 USB stick and a free operating system are suddenly moving the needle on refresh strategy for households, schools, and cost-conscious businesses worldwide. Google’s push behind ChromeOS Flex, paired with Back Market’s low-cost reusable installer, reframes aging PCs as secure, fast cloud endpoints rather than liabilities awaiting disposal. This market
Introduction Every budget season exposes the same friction points—month-end drags on, reports arrive late, and teams wrestle with integrations that never feel seamless—prompting a bigger question about whether the ERP itself is holding the business back from faster, cleaner execution. Finance leaders, IT teams, and executives frequently circle this question around Microsoft Dynamics GP and Dynamics 365 Business Central, weighing
Dominic Jainy has spent years weaving AI, machine learning, and blockchain into operational systems, and he’s candid about what actually moves the needle in Dynamics 365 Business Central. In this conversation, he explains how 2026 release wave 1 puts intelligent agents right where work happens, why finance automation and self-billed invoices change the rhythm of close, and how refreshed Power
