DATAVERSITY

3 weeks ago | dataversity.net | Tami Fertig

The latest installment in our Q&A series with women leaders in data features Prosasty Chaudhuri, CEO and founder of Cuspide Data. (Read our previous Q&A here.)Prosasty Chaudhuri spent over two decades working in the data management industry before founding Cuspide Data last year. Previously, she served as the chief data officer for several leading financial institutions, spearheading data strategy and governance efforts to align with business goals.

1 month ago | dataversity.net | Nahla Davies

Data-driven decision-making is essential in all organizations, but using low-quality data can potentially be more harmful than using no data at all. Unreliable or outdated data can have huge negative consequences for even the best-laid plans, especially if you’re not aware there were issues with the data in the first place. That’s why data observability is so important: It’s a proactive approach to ensuring your data remains accurate, consistent, and trustworthy. But how does one achieve it?

1 month ago | dataversity.net | Tami Fertig

The latest installment in our Q&A series with female leaders in data features Jacqueline Paneque, Head of Data Literacy and Data Quality at TE Connectivity. (Read our previous Q&A here.)Jacqueline Paneque has long been fascinated with the power of data. After transitioning from a career in finance, she worked her way up to become head of data literacy and data quality at TE Connectivity, a leader in industrial technology manufacturing.

2 months ago | dataversity.net | Tami Fertig

In today’s fast-paced tech environment, data and IT professionals are increasingly investing in continuous learning to future-proof their careers. Why? According to the World Economic Forum, we are in the midst of a “reskilling revolution,” with technology expected to radically transform 1.1 billion jobs in the next decade. A recent IBM survey estimated that 40% of the workforce will likely need to reskill over the coming years as a result of implementing AI and automation.

2 months ago | dataversity.net | Gaurav Belani

It is obvious how essential data security has become in the face of sophisticated cyber attacks. Companies need to continue to improve their processes and systems to protect sensitive information. While advanced cybersecurity technologies help massively, they can’t do it alone. Ensuring all-around safety requires the humans in the loop to work in tandem with machines. Both technology and humans have their unique strengths and weaknesses.