The rise of artificial intelligence(AI) is fundamentally changing the world of data analytics and data engineering.

However, AI-driven analytics has introduced predictive and prescriptive capabilities, enabling organizations to anticipate future trends and recommend, or even automate, data-driven actions.

As enterprise analytics evolve toward AI-driven, real-time and democratized capabilities, organizations that establish strong foundations of data trust and governance will be in the best position ...

The evolution of OSINT from the 1989 Manila coup to the present illustrates a remarkable journey, as told by someone who lived it, from manual data collection and analysis to advanced, ...

Analytics in Tennis Has Been an Evolution, Not a Revolution A new era of data analysis has given players deeper insights into their opponents’ games and a strategic advantage.

“Big data analytics promises more data, information and knowledge, and this often blinds organisations to less obvious, often unintended effects with profound consequences at the individual, ...

“DataOps brings iterative and continuous improvement to data products, ensuring they remain relevant and up to date. Real-time analytics gives organisations the ability to assess performance and ...

Business analytics have become so complex and advanced, that we can now use them to help predict future trends and behavior in real-time. So where does the future hold for analytics? Predictive ...

Artificial intelligence Outperforming competitors as a data-driven organization How organizations can do more with their data to realize business goals and achieve a sustainable competitive advantage.

Get Data. Analyze. Get Data. Synthesize. Decide. Transform. Given that the analytics function has increasingly higher levels of sponsorship and responsibility in forward-thinking organizations today, ...