Author Archives: DeveloperTiatra

Forward-deployed engineering in the age of agentic AI: From vibe coding to governed autonomy

Forward-deployed engineering (FDE), has moved from being a niche delivery model to becoming one of the most important operating patterns for enterprise artificial intelligence. In traditional software programs, organizations could usually separate product engineering, implementation consulting, operations and governance into different teams. Agentic AI changes that separation. An agent does not merely answer a question;…

Exploring Abbott’s mission-led AI strategy

Medical technology companies have always been in the business of trust, and Abbott has been building it with AI for over 10 years. Long before gen AI entered the enterprise conversation, Abbott was using algorithmic AI to help diabetics manage their glucose, and imaging AI to guide surgeons in real time. Here, Sabina Ewing, Abbott’s…

11 tech experts every CIO should follow on social media

Social media is more than a place to network or follow the latest headlines and trends. For CIOs, platforms like LinkedIn, X, and Bluesky offer direct access to technology executives, AI experts, economists, and business leaders who share ideas, challenge conventional thinking, and provide insights that can help shape tech strategy. Here, 11 IT leaders…

Business transformation needs a true economic approach, not guesswork

Thom Hornback has spent 20 years inside large organizations running the kinds of complex implementation projects that transformation programs are built around. He is a Six Sigma black belt, a project management professional and someone who thinks primarily about the people side of change. When he first encountered a process modeling approach that evaluated business…

What every CIO needs to know about platform engineering in the age of AI

Most CIOs have AI on the agenda. Most have started with pilots, some have moved to production. But there’s a quieter, more consequential shift underway that isn’t getting the boardroom attention it deserves: AI agents are no longer just a feature inside your applications. They are becoming an entirely new class of infrastructure consumer —…

Security at the speed of AI: How to protect against sophisticated cyberattacks

For decades, cyberattacks have been constrained by the skill and speed of the humans launching them. That is no longer the case. Today, frontier AI models can discover zero-day vulnerabilities in minutes and deploy autonomous agents to exploit them before most organizations have even been notified. These machine-speed attacks require machine-speed defenses. A simple technology…

When it comes to AI, bigger isn’t always better

There is growing concern about trust in AI as the technology is adopted by more people. Large language models (LLMs) continue to face persistent challenges with hallucinations and inaccurate outputs. LLMs are probabilistic systems trained to give answers, even when the correct answer is unclear or unknowable with the context provided. Humans are more likely…

Earnings from SAP, ServiceNow, and IBM challenge the SaaSpocalypse narrative

The first wave of quarterly earnings from major enterprise software vendors suggests that while AI is beginning to reshape enterprise technology spending, it has yet to produce the sharp decline in software demand that some industry observers have dubbed the “SaaSpocalypse.” The latest results (Q2) from ServiceNow, SAP, and IBM, read against several prior quarters,…

When satellites become AI agents, space data centers become the next AI frontier

For decades, space infrastructure was largely understood through the language of rockets, satellites, launch capacity, communications and exploration. The enterprise technology world watched from a distance. Space was important, but it was not usually treated as part of enterprise infrastructure strategy. That assumption is beginning to change. As artificial intelligence drives unprecedented demand for compute,…

You’re calling the same AI API thousands of times: Why redundant requests are driving hidden AI costs

During a recent advisory engagement, I watched 50 different customers ask the same return-policy question on a Tuesday. The AI support system answered all 50 correctly. It also executed fifty independent calls to a frontier model, ingested the same internal policy document 50 times, and generated essentially the same response 50 times. The company paid…