— This section covers advancements, applications, and societal impacts of artificial intelligence and other emerging technologies. —
Startups with limited resources are turning to AI to surface intent signals buried across websites, podcasts, and blogs — identifying prospects who have already demonstrated awareness of a specific strategy before a single outreach is made. Rather than casting a wide net, the approach locates, say,
Rather than treating artificial intelligence as a replacement for human connection, one senior sales leader fed multiple dashboards and Excel performance readouts into an AI engine at the close of a fiscal year and instructed it to identify standout performances, cross-market comparisons, and celebr
When the new federal administration moved to slash nonprofit funding in January, a Microsoft sales professional covering the nonprofit sector watched a quarter of his territory collapse within weeks. Organizations that had committed deals in place suddenly warned they might not survive the year — fu
A lawyer's courtroom embarrassment — sanctioned by a judge after AI invented case citations that did not exist — illustrates a structural risk every professional must understand before deploying generative tools. The reality is that AI is engineered to satisfy a prompt, not to tell the truth, which
Microsoft Fabric unifies what were previously separate Azure services — data engineering, data science, real-time analytics, business intelligence, and generative AI — into one platform with a single storage layer called OneLake. Rather than forcing organizations to coordinate across dozens of disco