This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
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
One of the more telling exhibits at April’s NTT Upgrade 2024 event in San Francisco was the Autonomous Closed-loop Intervention System (ACIS) in development at… Read More »Data management demand in digital twin-oriented intensive care units
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
The SaaS market is well established, with revenues predicted to top $282 billion this year, and strong annual growth expected to continue. This puts the… Read More »Evaluating the impact of data analytics on user experience design in SaaS platforms
“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
