AI & ML Research 8 Hours

Last updated: June 29, 2026, 11:34 AM ET

AI & ML Research

Enterprise investment in AI is accelerating, with Gartner projecting 2026 as an "inflection year" for organizations to integrate AI projects with core business strategies enterprise investment booming. This push for demonstrable return on investment is reshaping how analytics professionals approach their work; while the specific tools for data analysis and reporting have evolved significantly over five years, the fundamental questions driving analytics projects remain consistent analytics project questions. The limitations of current metrics are becoming apparent, prompting warnings about the unchecked growth of AI capabilities metric weaknesses.

The strategic deployment of AI models requires careful consideration of scale. Organizations face a choice between leveraging smaller, more efficient language models or opting for larger, more advanced "frontier" models, each presenting distinct advantages and challenges for specific applications choose between models. This decision-making process is informed by the evolving nature of AI tools and the need to align technological advancements with measurable business outcomes.