Data quality is often the biggest issue for organizations looking to implement generative AI technologies, according to a new study from AvePoint. The SaaS solutions provider globally surveyed more ...

Deepak Yadav is an Engineering Leader at Amazon, Data & ML expert, ex-Ask.com, formerly with Amdocs, and Data Influencer. Generative AI is emerging as a transformative force in data engineering, ...

A global survey by Dun & Bradstreet highlights rising cyber threats and data quality issues in financial services, impacting AI adoption and decision-making. Despite increased risk mitigation spending ...

Artificial Intelligence (AI) stands at a pivotal juncture, facing a critical decision: continue down the path of large-scale data accumulation with its inherent challenges, or embrace more focused, ...

Data quality problems are systemic in agriculture, the researchers note. Historical reliance on local practices, fragmented ...

There are wide discrepancies in data quality for hotel transactions across global regions, with the largest occurring in Asia-Pacific. Because hotels and agencies need to harness data quality to ...

Value stream management involves people in the organization to examine workflows and other processes to ensure they are deriving the maximum value from their efforts while eliminating waste — of ...

In this podcast, we talk with Cody David, solutions architect with Syniti, which is part of Capgemini, about the importance of ensuring data quality for artificial intelligence (AI) workloads. Being ...

Avnet survey shows 77% of engineers see better market conditions as AI adoption in product development continues to ...