Ideas2IT Blog

For years, generative AI has dazzled the enterprise world, transforming workflows, automating content creation, and personalizing customer experiences at scale. Yet, as we enter 2025, a new paradigm is emerging, Agentic AI.

AI has become an integral part of business operations, with 78% of organizations now using it in at least one function, a significant rise from 55% just a year ago, according to McKinsey’s 2024 survey. 

Despite AI’s growing momentum, many senior leaders still await clear ROI. A recent industry survey reveals that 30% of Chief Data and Analytics Officers (CDAOs) struggle to measure the impact of data, analytics, and AI on business outcomes, highlighting a significant gap between investment and tangible results.

In a data-driven economy, CIOs, CTOs, and IT leaders face increasing pressure to move beyond prototypes and deliver scalable, production-ready machine learning (ML) systems.

AI has evolved over the last decade, with large language models (LLMs) like GPT-4, BERT, and others setting new standards in natural language processing (NLP).

Global AI spending is expected to surpass $512 billion by 2027, yet many organizations struggle to translate these investments into business value.