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.
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 »
As your business grows, your IT infrastructure inevitably becomes more complex. What once started as a single server handling applications, databases, and file storage can quickly expand into a network of servers spread across on‑premises environments, data centers, and cloud
How to Manage Multiple Servers as Your Business Grows Read More »
The honeymoon phase of enterprise AI is drawing to a close. As organizations move through 2026, the era of exploratory sandboxes is giving way to a clear mandate for scaled deployment. Enterprise leaders are backing this shift with significant investment,
Bridging the Enterprise AI Measurement Gap Read More »
A lot of enterprise software vendors have spent the last two years announcing AI features. Most of what they’re describing is AI-assisted—a recommendation here, a summarization there, a chatbot layered on top of a legacy interface. However, Coupa’s announcements at
Coupa Is Betting Agentic AI Can Run Enterprise Procurement on Autopilot Read More »
Enterprise conversations about AI are everywhere, yet many initiatives still stall long before they reach real production value. From years of working alongside customers, the issue is rarely a lack of ambition, talent, or access to advanced models. AI efforts
What Enterprise AI Efforts Reveal Once the Pilot Ends Read More »
As enterprises race to adopt AI, automation, and edge computing, one critical aspect of the conversation is often overlooked until trouble arises. Technology implementation is not just about deploying hardware and software – it’s about how that technology is supported,
Why Modern Tech Strategy Must Go Beyond Hardware and Software Read More »
