A new blog post by Google, Introducing the Coalition for Secure AI (CoSAI) and founding member organizations, stated that, “We’re introducing the Coalition for Secure AI (CoSAI).… Read More »LLMs: New alignment research for AI safety and technical regulation
The Harvard Business Review article “Has Generative AI Peaked?” raised a troubling concern concerning Generative AI (GenAI): “This brings us to an unsettling yet entirely… Read More »Avoid GenAI Model Collapse and Death by Averages
In today’s fast-paced retail environment, the buzzwords “big data” and “AI” are not just jargon—they’re game changers. And when you mix in the capabilities of… Read More »The intersection of big data, AI, and EPOS: A new era of retail intelligence
LLMs are marvels of modern technology. They’re complex in their function, massive in size, and enable groundbreaking advancements. Go over the history and future of LLMs.
In today’s digitized environment, the importance of data analytics as a tool for informed decision-making and strategic planning is paramount. From large corporations to parts… Read More »Exploring cutting-edge data analytics technology
Credit card fraud is a growing problem that affects millions worldwide and costs businesses billions of dollars every year. As fraudsters become more sophisticated, traditional… Read More »How machine learning detects credit card fraud
Managing patient data is a massive challenge in healthcare due to the large amounts of information involved. Reverse ETL is a modern data integration method… Read More »Reverse ETL in healthcare: Enhancing patient data management
The current fascination with Generative AI (GenAI) – especially as manifested by OpenAI’s ChatGPT – has raised public awareness of Artificial Intelligence (AI) and its… Read More »Synergy of Generative, Analytical, Causal, and Autonomous AI
Data governance, which encompasses the policies, standards, and procedures that ensure the proper management of data throughout its lifecycle, is essential for maintaining data quality,… Read More »Enhancing data governance with AI: From theory to practice
