William Mcknight

Graph technology has come a long way and has numerous applications in any enterprise. Here’s advice on how you can determine why, how, and where to apply graph databases today.

Enterprise data architects should take into consideration the data lakehouse, data mesh, and data fabric when constructing the analytic environment today. Here are the main ideas these patterns offer.

Developers and data scientists can work together using MLOps through a shared methodology to make sure that machine learning initiatives are in line with wider software delivery and, even more broadly, IT-business alignment.

Developers and data scientists can work together using MLOps through a shared methodology to make sure that machine learning initiatives are in line with wider software delivery and, even more broadly, IT-business alignment.

While artificial intelligence is already changing our world, it’s really only just begun. Here’s my vision of what life might be like in 2050.

Growing data volumes and differences in terminology, language, abbreviations, and even spelling in clinical documents make it challenging for medical professionals to

Here are the three best practices for leveling up your organization’s use of analytics and attaining ROI with an enterprise analytics program.

Addressing modern real-world use cases requires the application of multiple functions working together on the data. Here are some things to know to cost out the stack effectively.

Addressing modern real-world use cases requires the application of multiple functions working together on the data. Here are some things to know to cost out the platform effectively.

Application programming interfaces, or APIs, are a ubiquitous method and de facto standard of communication among modern information technologies. The information ecosystems