Jon Stojan

A survey of 152 B2B professionals suggests that enterprise AI translation may be moving beyond early adoption and toward a greater focus on governance, where platform considerations can begin to outweigh the model itself.

Day10 is developing a software delivery model that it believes reflects changes in how engineering services may evolve. Co-founder and CEO Konstantin Tsybulko and founding investor Yury Yakubchyk outline their view that the sector is entering a period of transition.

Nearly nine in ten companies now deploy artificial intelligence in some capacity, according to McKinsey. But a 2025 Harvard Business Review survey found that only six percent fully trust AI to run core business processes. Damini Rijhwani has spent most of her career working in the space between those two numbers. After nearly a decade in AI and machine learning, with several years building clinical imaging systems at Philips, she founded Automation Core Inc., developing patient management software for medical aesthetics, a market projected to reach $200 billion globally by 2033 according to Straits Research.

Current AI systems are effective at storing surface-level information, but they are still developing when it comes to capturing deeper context, such as the reasoning behind decisions or the progression of strategic thinking. That knowledge lives in one person's chat history, invisible to everyone else.

Creative work has a habit of compressing time. A soundtrack cue that once had room for planning, recording, and revision now often has to come together on a much tighter production schedule. That pressure has made AI music tools more relevant to working creators because they shorten the distance between an idea and a usable piece of audio.

Enterprise adoption of AI is accelerating across financial services, insurance, and healthcare sectors. Yet, there is a critical gap in how organizations implement AI and how they have established governance around it. Chiru Bhavansikar, founder of Arhasi and TrustHouse.ai, has dedicated his career to addressing this issue by creating integrity-first systems that are designed to meet the needs of enterprise customers.

The next AI battleground may be less about chatbots on top of software and more about who controls the communication layer underneath them.

Over the past several years, as technology has continued to evolve at an alarming rate, AI models have become increasingly adept at parsing data in response to user prompts. However, modern “thinking models” rely heavily on long chains of thought. That approach improves accuracy, but it also explodes token usage, increases latency, and drives up inference costs. In order for the AI to advance to the next steps of its evolution, this is a critical point that must be addressed. Fortunately, OpenServ Labs and Coyotiv say they have found a way around it.

For the past decade, entertainment apps have prioritized one thing: keeping users scrolling.

The shift from 2D pixels to 3D spatial intelligence is no longer theoretical. Hitem3D 2.0 highlights the broader shift of AI 3D foundation models from experimental systems toward production-oriented applications — delivering the structural logic and physical consistency needed for more demanding use cases, including AAA gaming and precision manufacturing.

As the initial hype surrounding Large Language Models (LLMs) begins to settle, the tech industry is shifting focus toward a new phase: autonomous agents. Today, San Francisco-based MuleRun officially unveiled its self-evolving personal AI platform, reflecting a move beyond traditional “chat-and-stop” interaction tools to a proactive, persistent digital workforce. By providing every user with a dedicated, cloud-based virtual machine, MuleRun aims to empower individuals across all industries to command their own dedicated digital employees without requiring a technical background.

Bitcoin still gets discussed in volatile terms. One day, the conversation is all about price and momentum. The next day, it swings toward regulation, custody, treasury strategy, or payment rails. That shift says something important about where the subject has gone.