TechSpective

We are currently witnessing a profound architectural inversion in the world of enterprise computing that will define the next decade of corporate IT strategy. For the better part of a decade, conventional IT wisdom dictated that all significant computing workloads would eventually and inevitably migrate to massive, centralized public clouds. It was viewed as an unstoppable force, a gravitational pull that would eventually consume every corporate data center.

As new cyber attack patterns emerge, researchers often update their latest threat intelligence reports. For teams that know how to use them, these reports are among the most powerful inputs available for making smarter security decisions. A threat intelligence report is a detailed cybersecurity document that outlines the tactics, techniques, and procedures (TTPs) of threat actors, the specific systems or industries they are targeting, and how to stop them.

Podcast: Play in new window | Download Subscribe: Apple Podcasts | RSS Beth Simone Noveck joins me on this episode of the TechSpective Podcast to talk about her book, Reboot, AI and the Race to Save Democracy. She’s a professor at Northeastern, where she leads the Burns Center for Social Change. She also founded Innovate US, a training program for public sector workers. It’s grown into one of the largest AI training efforts in the country.

We are standing on the precipice of a monumental shift in how humans interact with machines. For over four decades, the personal computer has been a fundamentally passive device. It waits for a keystroke, a mouse click, or a touch command before doing exactly—and only—what it is told. Even the early iterations of artificial intelligence, including the first wave of cloud-based large language models (LLMs), operated on this call-and-response paradigm. You prompt, it answers.

Companies are investing in AI at record levels, yet most are still struggling to translate it into measurable business value. The well-known MIT study, State of AI in Business 2025, concludes that 95% of enterprise GenAI pilots have failed to deliver results. Despite questions about its methodology and scope, the report aligns with what many companies are seeing in practice. Far less attention has been paid to why this is happening.

National Geographic’s SharkFest kicks off its 14th summer on July 5 with “Hammerhead Sharks Up Close with Bertie Gregory,” streaming on Disney+ and Hulu and airing on National Geographic. Gregory, an Emmy and BAFTA-winning cinematographer, spends the special in Mexico’s Pacific waters looking for hammerheads. I talked with him ahead of the premiere. A Shrinking Population and a Rare Encounter Hammerhead sightings in Gregory’s filming waters have gotten rare.

The annual Computex trade show in Taipei has always served as the definitive staging ground for personal computing warfare. It is the place where silicon vendors and original equipment manufacturers (OEMs) look each other in the eye, lay their heavy artillery on the table, and attempt to redraw the map of the industry. This year, the overarching theme was not just incremental speed gains or minor battery improvements.

As populations age across the globe, the demand for innovative approaches to senior care continues to grow. Families, caregivers, and healthcare providers are seeking solutions that promote independence while ensuring safety and well-being. Smart technology has emerged as a powerful force in meeting these needs, creating what can best be described as a digital safety net.

In the high-stakes theater of enterprise technology, the roles of Chief Marketing Officer (CMO) and Chief Communications Officer (CCO) are frequently, and mistakenly, conflated. When a technology company attempts to merge these functions under a single executive umbrella, the resulting strategy often becomes disastrously lopsided. A CMO’s primary directive is inherently tied to demand generation, product marketing, lead acquisition, and sales enablement. They are the engine of revenue acceleration.

Podcast: Play in new window | Download Subscribe: Apple Podcasts | RSS Most cloud security tools have a detection problem. They find misconfigurations well enough. The issue is what happens after — a ticket gets opened, someone works the queue, the fix goes in, and three weeks later the same misconfiguration is back because a different person on the team made the same call.