As companies continue to invest billions in AI, employees and shareholders are more frequently demanding to see tangible results. Yet, at the end of 2025, only 15% of executives reported that AI integrations increased profits.
Think you missed the AI boat? Probably not. Start small, focus on fit and value, and you can still outpace the fast but sloppy adopters.
The very nature of language models—large language models (LLMs), foundation models, and frontier models—confounds the notions of explainability and transparency.
As CIOs face increasing pressure to mount successful AI projects, they’re contending with a sobering reality: only between 5% to 20% of AI pilots result in high-impact, enterprise-wide deployments with real, measurable value.
Agentic AI’s reasoning and planning capabilities can help supercharge your IT org by making decisions and handling tasks with little or no human intervention.
Humans and AI are collaborating to reshape manufacturing’s destiny. Manufacturing is receiving considerable attention lately, particularly in the United States. Our concept of prosperity and cultural identity is closely tied to this age-old industry.
AI technologists are in fast pursuit of artificial general intelligence (AGI), with some predicting it could arrive as soon as in the next few years. Just this month, Google outlined their latest step towards AGI with a new AI model that interacts with a convincing simulation of the real world.
JULY 25, 2025 | PUBLISHED IN by Dhaval Jadav alliant Chief Executive Officer If you have any questions about this article, please send us a message. Contact Us Before it…
Open-source technology has been one of the greatest contributors to tech innovation over the past 30 years. The ability to share R&D costs, reuse common code blocks, and accelerate proprietary applications fostered a technological boom that still shapes the digital ecosystem we occupy today.
Open-source technology has been one of the greatest contributors to tech innovation over the past 30 years. The ability to share R&D costs, reuse common code blocks, and accelerate proprietary applications fostered a technological boom that still shapes the digital ecosystem we occupy today.