When semantically connected data matters most
Image by Pete Linforth from Pixabay Technological advances useful in solving some problems can often trigger side effects and other problems in the process. Consider the ...
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Small Language Models: A Strategic Opportunity for the Masses
In the evolving landscape of large language models (LLMs), it is increasingly evident that their immense size and broad applicability present several limitations. Despite...
Defining transformation in the era of AI + FAIR data
Image by Gerd Altmann from Pixabay Every week, I watch emerging tech markets evolve and try to ponder what the changes mean in terms of real business impact on large ente...
Building Professional Diagrams: LLM/RAG Example with Source Code
If you, your team or your company design and deploy AI architecture, data pipelines or algorithms, having great diagrams to illustrate the workflow is a must. It is a cri...
A proposed framework for construction 4.0
The ongoing fourth industrial revolution underpins Industry 4.0. IT uses cyber-physical systems and advanced digital technologies. Integration and complex real-world scen...
Data warehousing reinvented- Using the AI advantage
It has become essential for companies and organizations to manage data efficiently. The management of data involves many layers including its storage and analysis of this...
Computing: Benchmarks, evaluations for superintelligence alignment, AGI safety
What is human poetry intelligence? Or, what does it take for the human mind to produce excellent poetry? Poetry can be summarized to involve two factors, memory and relay...
A generative AI reality check for enterprises
Takeaways from my July 2024 interview with cloud architect and author David Linthicum David Linthicum Wall Street now agrees that generative AI is past the Peak of Inflat...
ESG: The “Vital Signs” for Responsible and Ethical AI Outcomes
While Artificial Intelligence (AI) models can potentially transform our personal and professional lives, they pose significant challenges and risks for our society. To en...
Can machine learning predict student outcomes?
Predicting student performance is crucial for educational institutions aiming to enhance learning outcomes and provide timely support. Anticipating academic challenges an...