Interview with Kwaai’s Toby Morning and Karsten Wade In the latest episode of the AI Think Tank podcast, I had the privilege of hosting Toby Morning and Karsten Wade from Kwaai.… Read More »A Look at Kwaai’s Personal AI OS
ELT pipelines facilitate the seamless movement of data from source systems to target destinations, enabling transformation and analysis along the way. However, as data traverses… Read More »Enhancing data lineage and metadata management in ELT pipelines
The media, including movies, have made AI conversations confusing and overly emotional. I propose a simple exercise for middle and high school students to provide… Read More »Becoming an AI Utility Function Exercise – Part 2
A Look at TEA’s AI Grading System with Caleb Stevens and Dan Wilson The recent implementation of artificial intelligence by the Texas Education Agency (TEA) to grade the State… Read More »Texas Jumps the Gun on AI
By 2025, the world will generate 181 zettabytes of data (that’s like streaming Netflix continuously for 36 million years!) This data boom isn’t confined to business… Read More »How AI-enhanced data management enables more precise workflows
In software architecture, the shift towards microservices has become a dominant trend. Microservices offer agility, scalability, and resilience, making them an attractive choice for modernizing… Read More »Integrating microservices with legacy systems through API management
Interview with Patrick Stingley During this very special 6th episode of the AI Think Tank Podcast, I had the honor to speak with Patrick Stingley, a… Read More »Zero Trust Architecture and AI
In today’s data-driven business landscape, data quality enables organizations to make informed decisions. Data quality tools are pivotal in ensuring that businesses have access to… Read More »Empowering businesses to make informed decisions
“Our goal is to redefine the interaction between technology and personal data. We envision an AI that is not just a tool used by the masses but an extension of the individual, respecting their privacy and enhancing their autonomy.” -Reza Rassool
Metadata management is critical to data lake architecture, ensuring that data is well-organized, easily discoverable, and effectively utilized. As data lakes store vast amounts of… Read More »Metadata management in data lakes
