Technology decisions are business decisions. That’s the premise behind TechSpective’s Enterprise Technology section, which covers the intersection of enterprise and organizational technology with the strategic, operational, and financial realities that determine whether technology investments actually pay off. Topics include enterprise AI strategy, procurement automation, hybrid work and IT infrastructure, agentic AI governance, cybersecurity as a business risk, and the organizational dynamics that separate successful technology adoption from expensive disappointment.
Most of us don’t give the spare tire in the trunk much thought. We know it’s there, we might check the air pressure once in a while (if we remember), and we hope we never need it. Then one night
Recovery Is Becoming the New Security Read More »
When sovereign AI comes up with a customer, I hear the same assumption almost every time: going sovereign means moving everything, every workload, into one fully sovereign environment, all as a single decision made once. Treating it that way usually
Not Every AI Workload Needs a Passport Read More »
When Ithaca Holdings swooped in to acquire Bumble in a $1.3 billion take-private deal, the immediate industry reaction focused almost entirely on the consumer implications of saving a distressed social platform. But if you look past the consumer-facing interface and
The Hidden Enterprise Goldmine in Bumble’s $1.3 Billion Take-Private Deal Read More »
Sovereign AI conversations tend to focus on where data sits and who’s allowed to access it. Fair enough, those questions matter. But they skip past something I think about constantly: what happens to that data’s security posture once it’s spread
Sovereign Data Needs Protection That Travels With It Read More »
The word “intelligent” gets attached to a lot of things in enterprise tech, and most senior leaders have learned to read right past it. That skepticism is valid. When every platform, every storage array, and every SaaS dashboard claims intelligence,
What It Really Means to Be an Intelligent Data Company Read More »
For the past three years, the technology industry has been utterly obsessed with Graphics Processing Units (GPUs). This made perfect sense during the initial generative AI boom, where the primary workloads involved training massive Large Language Models (LLMs) and generating
We are currently navigating one of the most profound transformative phases in the history of the tech industry. As brilliantly demonstrated by the opening video at the AMD Advancing AI 2026 Keynote in San Francisco, the raw computational power required
AMD Redefines Datacenter AI Infrastructure and Challenges Fierce Rivals Read More »
It began, as these things often do, with a nostalgic scroll through my social media feed. I was on Facebook when a post from one of my old IBM colleagues caught my eye. We were reminiscing about the “good old
Buying Tech Without Training Is a Multi Billion Dollar Strategy for Failure Read More »
As digital experiences become more deeply integrated into our daily lives, many people have started to experience digital fatigue or the desire to escape hyperconnectivity. This growing tension is forcing a change in the design of technology products. When Screens
Why Fewer Screens Will Define the Next Phase of Technology Read More »
Healthcare is moving quickly to adopt agentic AI. Systems that can gather information, make decisions, and take action with limited human involvement are beginning to support everything from clinical documentation to administrative operations. The drivers are real and urgent. Healthcare
Agentic AI Is Raising the Stakes for Healthcare Ransomware Recovery Read More »
