Agentic AI in motion: Smart command implementation for document management
The synthesis of generative machine learning models and digital agents, which many have dubbed Agentic AI, may well prove the most advantageous development for enterprise...
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Quantum computing’s status and near-term prospects (Part II)
Image by Gerd Altmann from Pixabay Why today’s pre-quantum encryption now faces a Y2K scenario I had the opportunity to attend the Quantum to Business (Q2B) 2024 Silico...
Best practices for managing large content libraries
Learn practical tips to organize and manage your content library effectively. From content audits to CMS tools, discover strategies for optimizing, updating, and maintai...
Envisioning the AI Value-creation Maturity Curve – Lessons from the Internet
2025 will be the year when Artificial Intelligence (AI) must prove itself beyond driving mundane, easily replicated productivity improvements. To be successful, AI must f...
Quantum computing’s status and near-term prospects
Part I: Background and some indicators of how AI is helping IBM’s Quantum System 2 on display at the Q2B 2024 Silicon Valley conference in December (author’s ...
Infrastructural necessities for building and deploying enterprise-scale AI
Whether rendering sensitive datasets anonymous with synthetic data or simply facilitating ad-hoc question answering on a corpus of domain-specific knowledge, enterprise a...
Optimizing data center energy consumption with predictive analytics
Data centers are consuming a massive amount of power. The easiest solution is to raise temperatures, driving resource utilization down. However, that complicates hardware...
LLM 2.0, RAG & Non-Standard Gen AI on GitHub
In this article, I share my latest Gen AI and LLM advances, featuring innovative approaches radically different from both standard AI and classical ML/NLP. The focus is o...
The role of hypothesis-driven AI in medical research
The medical field has some of the greatest potential for artificial intelligence (AI) implementation. The right algorithms and data could identify hard-to-pin illnesses a...