You can go onto your cloud account either through the iPad or your desktop computer and pre-plan all your jobs... when your hired man goes into the field he can just pick the job... and then hit start and you can go.
If you've signed up for Cursor to do some casual vibecoding, you'll probably find yourself disoriented by the command lines and acronyms that live throughout the software. Lu proposes he can solve this tension with his new project, something he's calling 'Baby Cursor.' Lu imagines Baby Cursor as the next generation of the company's software, which first launched in 2023.
Earlier we did episode one of this with Grady Booch where we discussed the principled view of that what's changing and what remains unchanged, what is hyped and what is actually naturally coming with the AI changes. We also spoke about that what is the difference between the design and the architecture and what teams are focusing and what they might be missing.
Manufacturing environments are becoming more advanced, automated, and electrified-but they are also becoming more dangerous. High-voltage (HV) systems, robotics, advanced machinery, and tightly coupled production lines introduce risks that traditional training methods are no longer equipped to address effectively. Instructor-led classroom training, PDFs, videos, and even supervised shadowing have long been the foundation of manufacturing training. However, when the consequences of error include severe injury, fatal accidents, equipment damage, or production downtime,
According to Digi Capital augmented and virtual reality are about to explode as VCs and corporates get in on the act. Facebook's multi-billion dollar acquisition of Oculus got everyone's attention early last year, but it's only really in the last 12 months that investments have accelerated, with more than $1bn pouring into the sector. Meanwhile Mashable reports Nokia's virtual reality camera is now available for pre-order for a cool $60,000.
Baron traces the origin story back to his time building high-scale systems at Instana (which exited to IBM in 2020), where the reality of "always-on" platforms made one thing obvious: the tooling we rely on is often too low-level, too rigid, and too disconnected from real-world use cases. That gap has only widened as environments have exploded in complexity-more cloud providers, more managed services, more hybrid setups, more internal APIs, and "gillions" of tools stitched together into brittle workflows.
When I work on something, whether it's at Interfere or my personal projects, I like to experiment a lot. Design engineering is a lot about trial and error, and I often spend hours trying to find the "this feels right" moment. This is where AI helps. Instead of spending hours on a concept that I'm unsure of, I try that concept out in a matter of minutes, and throw it away if it doesn't feel right.
A traveler might search for a weekend getaway and still see travel ads weeks later, long after returning home. The data was right. The timing wasn't.AI-driven marketing has the potential to close that gap - but only if it understands context. Personalization built solely on identity or past behavior can reveal who someone is, but not when or why they're ready to act.As AI takes center stage in marketing strategy, context is emerging as the differentiator that turns reactive automation into predictive intelligence.
AI reveals a hidden, outdated assumption: that humans will continue to serve as the "digital glue," manually connecting disparate systems, teams, and decisions. For decades, enterprise software perpetuated a model of sequential handoffs, in which people managed data entry, reconciled conflicts, chased approvals via email, and updated spreadsheets. This structure was manageable when uncertainty was low and delayed decisions were affordable.
"Our customers don't live in front of a laptop day in and day out; they live in the dirt," Hootman said. "The ability to get the insights and take the action that they need while they're doing the work is very important to them."
Dynatrace has launched Dynatrace Intelligence, a system that combines deterministic AI and agentic AI. The platform is designed to help organizations transition from reactive to autonomous operations. Dynatrace Intelligence is the new agentic operations system that takes center stage at the observability company's Perform conference. It is built to observe and optimize dynamic AI workloads. The platform is designed to enable organizations to build more resilient applications and improve customer experiences.
LLMs have made AI assistants a standard feature across SaaS. AI assistants allow users to instantly retrieve information and interact with a system through text-based prompts. Mathias Biilmann, in his article " Introducing AX: Why Agent Experience Matters," discusses two distinct approaches to building AI assistants. The Closed Approach involves a conversational assistant embedded directly within a single SaaS product. Examples include Zoom's AI Companion, Salesforce CRM's Einstein, and Microsoft's Copilot. The Open Approach involves external conversational assistants, such as Claude, ChatGPT, and Gemini,
