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A few enterprise takeaways from the AI hardware and edge AI summit 2024
Image by Gerd Altmann from Pixabay A few enterprise takeaways from the AI hardware and edge AI summit 2024 Enterprises haven’t seemed as enthusiastic about generative A...
Large AI Apps: Optimizing the Databases Behind the Scenes
In this article, I describe some of the most common types of databases that apps such as RAG or LLM rely upon. I also provide tips and techniques on how to optimize these...
How AI is shaping eLearning
AI-driven innovation has quickly turned the traditional classroom into a dynamic, personalized, highly efficient digital space. Be it adaptive learning platforms, offerin...
Scaling knowledge graphs and neurosymbolic AI
An interview with Amit Sheth, founding director, Artificial Intelligence Institute, University of South Carolina Amit Sheth has survived and thrived through multiple AI w...
Deep Reflections on Mycelium, Neural Networks, & AGI
Interview with Jeanette Small, MA, PhD In this recent AI Think Tank Podcast episode, we took a close look into the complexities of intelligence, neural networks, and the ...
A user-centric approach to responsible AI
Katalin Bártfai-Walcott (KBW) of Ambient Enterprises posted some helpful observations and thoughts via LinkedIn in September on how LinkedIn and other comparable platfor...
Value Creation Requires An Outside-In Mentality
A few weeks ago, I created a YouTube video to discuss the importance of an outside-in perspective to the value creation challenge. The key to a successful business is its...
The role of image annotation in advancing computer vision technologies
Image annotation backs computer vision technologies by empowering machines to interpret visual data through labeled images, directly influencing model accuracy across ind...
Enhancing healthcare with data science
Healthcare and data science are interlinked in a way that makes patient care more precise and efficient every day. This relationship has far-reaching impacts and upsides ...