Why AI assistants still face barriers at scale
Moving from cutting-edge pilot programs to real-world production is turning out to be harder than many companies thought.
Google has unveiled a range of AI-driven applications through its Google Labs platform, each tailored to specific professional tasks. One standout example is Pomelli, a program designed for social media campaigns that generates branded assets by combining elements like colors, fonts and tone. It also features “Photo Shoot,” a function that creates digital product images,…
Image courtesy by QUE.com Artificial intelligence is revolutionizing how businesses operate, enabling teams to accomplish tasks faster, smarter, and with fewer errors. From automating routine processes to generating insights in real time, AI-powered tools promise unprecedented productivity gains. Yet as organizations race to deploy the latest automation platforms, a new challenge emerges: employees are drowning…
What’s the story In the fast-paced world of video production, AI tools are revolutionizing post-production, automating repetitive tasks like clipping, captioning, noise removal, and asset creation. This lets editors focus on creative decisions. These advances in 2026 drastically cut editing time while maintaining professional quality. By simplifying workflows from raw footage to publishable clips, these…
The core message: employees are indeed using AI. They just aren’t using it in ways that meaningfully change how work gets done. For HR, this is not a technology issue. It is a skills, work-design and management problem – and it’s quickly becoming one of the most important capability gaps in the modern workplace. The…
No Jitter Brief: Microsoft’s fifth annual Future of Work report was released last week, with research centering on the impact AI has on the workforce. Among the findings: 40% of employees surveyed said they had received “workslop,” which Microsoft defined as “AI-generated content that looks polished but isn’t accurate or useful.” An analysis of Copilot logs…
Artificial intelligence is now part of modern software development. The tools available to engineers today are enabling new levels of productivity, automation, and collaboration. Leaders in technology organizations are asking the same question: how do we measure whether this investment in AI is actually effective? The answer is not in a single metric or dashboard….