As AI consumer apps evolve, I find it crucial to adopt data-driven decision-making systems that can help drive user growth and achieve ambitious revenue targets. Intuition is no longer enough, and we ...

Naveen Edapurath Vijayan is a Sr Manager of Data Engineering at AWS, specializing in data analytics and large-scale data systems. Artificial intelligence (AI) is transforming the way businesses ...

The Fast Company Executive Board is a private, fee-based network of influential leaders, experts, executives, and entrepreneurs who share their insights with our audience. BY Praneeta Pujari Data is ...

Levi, former MIT professor, recently joined Purdue through the Moveable Dream Hires program. Simchi-Levi will lead the Data ...

Data analysis does not remove the need for leadership; it requires business leaders to learn to incorporate data into their decision making and effectively train and support their teams to do the same ...

Your data is only as good as how you interpret it. Fueled by the promise of concrete insights, organizations are increasingly prioritizing data in their decision-making processes. But that process can ...

Data is called an asset, but only if you can use it. In its original form, it's not. Data engineering is the process that makes it usable. It involves moving, cleaning, and organizing. This creates ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...

Product lifecycle management (PLM) is undergoing major changes as artificial intelligence evolves from experimental technology to operational necessity. Traditional PLM systems were developed on ...

There is now broad consensus that data-driven decision-making is essential to success in today’s highly competitive manufacturing environment. Customers’ price-consciousness, combined with demands for ...

Krishnam Narsepalle argues traditional credit systems must evolve into event-driven architectures for real-time risk ...