Data is becoming increasingly important to success in the digital economy and data workers spend the majority of their work week on data activities. Users across all geographies, company sizes, ...

We seem to continually look to the data center for new ways to cut costs, and that is not likely to change anytime soon, given the ongoing attention and focus on consolidation. Indeed, the next five ...

The era of the “AI proof-of-concept” is closing fast as enterprises look to move past dazzling demos of AI’s potential, to production systems that deliver impactful business outcomes. Yet, as many ...

Data preparation can be complicated. Get an overview of common data preparation tasks like transforming data, splitting datasets and merging multiple data sources. Data preparation is a critical step ...

Artificial intelligence has shifted from an emerging technology to a core component of modern data ecosystems. For data and database professionals, AI now powers analytics platforms, cloud services, ...

The recent events at OpenAI were extreme, but we should expect a little chaos as increasingly advanced AI models are deployed in the wild. There will be more board-level debates and disagreements.

When we talk about artificial intelligence (AI) in investing, the conversation often jumps straight to models, predictions, and machine-learning breakthroughs. But behind every reliable AI application ...

In this podcast with Chris Gorton, EMEA managing director at Syniti, we look at how to optimise data for digital transformation. We talk about how planning is key, in particular to visualise the ...

As generative AI (GenAI) rapidly transforms industries, organizations are racing to integrate these powerful tools into their operations. However, successful implementation requires more than ...

Data preparation is an important step in any data analysis. This article offers suggestions for making that process easier and more effective. You just updated your LinkedIn profile with the sexiest ...