Browsing: Automation

Sanjuksha Nirgude develops autonomous security drones as a technical lead at Nightingale Security.

Automated, autonomous and automatic production is moving from PoC to operational reality in live sports production. Broadcasters and rights holders are using software-driven workflows, AI-assisted tools, and orchestration platforms to deliver more content with ever-tighter budgets and leaner teams. During The Summit 2026, SVG Europe examined this topic during a session called ‘Lean production’ in…

Scan beyond Snowflake to see how other AI infrastructure players are positioning for automation-driven data workloads with our hand picked 90 AI infrastructure stocks

Scan how Agilent Technologies’ push into lab automation compares with other laboratory technology plays by reviewing a curated set of 35 healthcare AI stocks. Advertisement

Unlike chronic therapies, where demand builds over time, vaccines operate in short, high-stakes windows. Uptake is driven not just by clinical need, but also by timing, awareness and provider action, often compressed into a few critical weeks ahead of the season. As a result, even well-funded campaigns can deliver uneven outcomes.

Data, AI and technology leaders gathered in San Francisco to compare experiences with workflow automation, agentic AI and the challenge of building trust as AI takes on more complex work.

ELLIS HOBBS•UPDATED OCT. 1, 2026, 3:03 PM ET Reviewed by Matt Monacoand Fact-checked by Bryce Tuohey

A new PwC survey finds that unequal access to training is widening gaps in workers’ confidence, job security, and career prospects.

Salonist announces the expansion of Saloni AI, its built-in artificial intelligence layer, to support automated booking and client management for salons, spas, and medspas worldwide.Hair salon management software has quietly become part of daily operations for thousands of businesses, and Salonist says the real advantage now comes down to how much thinking the software can…

GUEST OPINION:Managed cloud services are an operational model in which a specialized provider continuously manages, secures, monitors, and optimizes an organization’s cloud environment to improve reliability, control costs, and reduce infrastructure overhead. As cloud estates become more distributed and workloads more demanding, this model is evolving beyond traditional monitoring and technical support. The next generation…