Insights from this article first featured in FINBOURNE’s latest report ‘ESG Data Resiliency: From fire-fighting regulations to commercializing new opportunities, with contributions from KPMG. With ESG ...

Data harmonization remained the second top challenge this year. Ensuring that data is consistent across an organization prevents issues that can arise from mixed or conflicting data, allowing for ...

More than ever, building and maintaining trust, the bedrock of every business, succeeds or fails based on how data is handled ...

Data is the lifeblood of our modern, technology-driven world. Data is powering AI and the vast majority of the technology-based services being delivered not only by the businesses and people we ...

As artificial intelligence accelerates across industries, unstructured data has emerged as both a critical asset and a growing challenge. Its value hinges entirely on how well it’s managed, governed ...

Data is at the heart of every buy-side firm. Traders are awash in a sea of data and currently the central challenge for most firms is to find more efficient ways to aggregate and rapidly access the ...

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...

The healthcare industry's data dilemma is costing health systems millions. Healthcare has a data problem. And it's getting expensive. Data is more than just a byproduct of medical care—it's the ...

Data estate complexity is a big challenge for decision makers Your email has been sent At a time when organizations are increasingly adopting a cloud-first approach and global spending for big data ...

Quality data is at the heart of the success of enterprise artificial intelligence (AI). And accordingly, it remains the main source of challenges for companies that want to apply machine learning (ML) ...

Healthcare systems today are incredibly complex beasts. From EHRs and lab results to doctors notes and imaging, they hold vast datasets that are structured, managed and processed in different ways ...