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.
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
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
Data engineers are professionals who specialize in designing, implementing, and managing the systems and processes that transform raw data into usable and trusted information. They… Read More »How long does it take to master data engineering?
For our 4th episode of the AI Think Tank Podcast, we explored cybersecurity and artificial intelligence with the insights of Tim Rohrbaugh, an expert whose career has traversed the Navy to the forefront of commercial cybersecurity. The discussion focused on the strategic deployment of AI in cybersecurity, highlighting the use of open-source models and the benefits of local deployment to secure data effectively.
Roundtable Discussion with Rebecca Bultsma and Ahmad Jawad In the latest episode of the AI Think Tank Podcast, we ventured into the rapidly evolving intersection… Read More »Implementing AI in K-12 education
