Bringing predictive analytics to the agentic AI era 
Bringing predictive analytics to the agentic AI era 

In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The frontier has moved from prediction to autonomous decision making, and the gap between…

Redefining enterprise intelligence with autonomous AI
Redefining enterprise intelligence with autonomous AI

Enterprise AI is no longer a future ambition. It is in full operational flight. Model capabilities are advancing faster than most organizations can absorb, while the cost of performance continues to fall. Globally, AI investment is set to reach $2.5 trillion in 2026, up 44% from the previous year. For many enterprises, this investment has…

Making AI an asset, not an expense
Making AI an asset, not an expense

When customers talk about AI costs, the conversation usually starts with token prices and ends with access to the latest, most capable model in the cloud. Do they always need that level of capability? Not necessarily. But that is often where the conversation goes. As AI moves from experimentation to production, model choice is only…

Istanbul Ignited by Slush’D returns with 3,000 attendees and 600 investors
Istanbul Ignited by Slush’D returns with 3,000 attendees and 600 investors

Istanbul Ignited by Slush’D returns to Rixos Tersane in Istanbul on 12 to 14 October for its second edition. The organisers expect more than 3,000 attendees, 1,400 startups and 600 investors, up from about 1,700 attendees last year. The first edition r…

Istanbul Ignited by Slush’D returns in October with 600 investor
Istanbul Ignited by Slush’D returns in October with 600 investor

Istanbul Ignited by Slush’D returns to Rixos Tersane in Istanbul from 12 to 14 October for its second edition. The organizers expect more than 3,000 attendees, 1,400 startups and 600 investors, up from about 1,700 attendees last year. The first edition…

Building the materials foundation for AI

The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do…

Powering AI is an architecture problem
Powering AI is an architecture problem

On July 22, 2026, a transmission line fault in Ashburn, Virginia—the heart of the world’s largest data center cluster—knocked more than 3 gigawatts of load off the grid in seconds. And it wasn’t the first time. Two years earlier, a single failed surge arrester dropped roughly 60 Virginia facilities and 1,500 megawatts at once. No…

Healthcare AI’s next test is integration
Healthcare AI’s next test is integration

The entrance of major AI companies into healthcare is a meaningful and welcome development, accelerating the technical foundation available to the industry. Their models are increasingly capable of processing long clinical records, interpreting complex terminology, comparing documentation against evidence and generating coherent summaries from large volumes of information. For clinicians, operators, and administrative teams who…

Understanding the thermal ceiling in portable power
Understanding the thermal ceiling in portable power

Plug a phone into a modern charger and the first 10 minutes are impressive. The next 20 are not. This is not a defect. It’s the connected device protecting itself. As temperature rises during charging, a smartphone’s battery management system reduces the current it will accept, because heat accelerates the chemical degradation that permanently reduces…

Build the pipeline your investors want to see
Build the pipeline your investors want to see

Ask a seed investor what they want to see before the next round and the answer is rarely a bigger number. It is a pipeline they can read. Where deals come from, how fast they move, why they stall, and what the founder does about it. Most seed-stage B2B…