It has been estimated by MITSloan that the cumulative cost of inaccurate data is 15 to 25 per cent of revenue for most organisations. This is because poor quality data wastes resources, undermines ...

In the rapidly evolving AI landscape, companies are racing to deploy the most sophisticated models and cutting-edge algorithms. But amid the excitement, many organizations overlook the most critical ...

Data is essential for the success of any artificial intelligence (AI) project, but understanding what makes data beneficial—or harmful—for AI is crucial. At a high level, machine learning (ML) and AI ...

AI’s future doesn’t depend on ever-larger models but on better, human-curated data. AI risks bias, hallucinations and irrelevance without expert oversight and high-quality training sets. AI is a paper ...

The global market size for AI in ecommerce is estimated at $9 billion in 2025, and is anticipated to reach $64 billion by 2034, reflecting a compound annual growth rate (CAGR) of nearly 25% over the ...