2026 arrived as the year AI ROI would need to get real. After years of experiments and pilots that largely failed to scale, CEOs’ No. 1 priority for CIOs was to achieve demonstrable benefits from AI investments. Under that pressure, CIOs started to feel the heat, with 71% of IT leaders in February saying they…
For most of the last two years, I priced AI the way I’ve priced every piece of software in thirty years of building technology: a number per seat, budgeted once, revisited once a year. It’s the only pricing model most IT leaders have ever had to plan around. Then I started building AI systems that…
The concept of digital transformation (DX) has been around for quite some time now. Many companies are adopting digital technologies such as AI, IoT and the cloud to transform their businesses, operations and organizational cultures, striving to improve productivity and create new value. However, on the other hand, They have introduced IT tools and systems,…
The good news is that large language model (LLM) token costs are coming down. The conundrum: The overall cost of AI workloads is going up. Gartner research predicts that, while token costs will fall by 95% by 2030, inference costs for agentic workflows will increase more than fivefold over the next two years. This is…
Let’s say one of your teams builds an AI agent that actually works. Word gets around, and seemingly overnight, there are twenty more built by people in finance, legal, HR, and support. Most of them are useful, but when someone suddenly gets a chatbot response showing customer data they shouldn’t have access to, reality hits.…
Oliver Galicki no longer needs to envision what it would be like to ascend to the CIO role. He’s just landed one. On Aug. 10, Galicki transitioned from VP of clinical applications and engineering at Memorial Hermann Health System to become deputy CIO and VP of applications at Medstar Health System. He attributes his new…
For many organizations, AI is proving easy to pilot but difficult to scale. Pilots often look inexpensive because they run on narrow datasets with a handful of users, explains Ben Schein, chief AI and analytics officer at cloud software company Domo. “But the cost lives in deployment, the moment you connect that capability to real…
For most of the IT era, technology leaders have treated information as an asset. It is something to be stored, secured, processed and monetized. Organizations generated vast amounts of data, and technology processed that wealth and made it useful. Then AI arrived, and the framing broke. AI changes the relationship with information. It interprets it,…
Over the past year, the conversation around enterprise AI has shifted dramatically. We’ve all seen that AI is extremely competent when it comes to generating content or answering questions with advanced reasoning, but what G2000 companies are now asking is whether agents can be trusted to execute work efficiently and effectively across the organization. This…
Model routing has emerged as a way to keep AI inferencing costs down by examining prompts and directing them to the most appropriate model — for example, the cheapest one able to respond effectively. This means that requests can be handled more efficiently, giving more accurate results and lower runtime costs, a concern in an…