Ben Lorica and Paco Nathan on AI Legislation, Hardware Innovations, and Geopolitical Applications.
Unlocking the Power of LLMs with Data Prep Kit
Petros Zerfos and Hima Patel on Simplifying AI Data Pipelines with IBM’s Data Prep Kit.
Advancing AI: Scaling, Data, Agents, Testing, and Ethical Considerations
Andrew Ng on Scaling AI, Data-Centric Approaches, and Agentic Workflows.
Bridging the Hardware-Software Divide in AI
Jay Dawani on A New Software Stack for AI Development.
Monthly Roundup: The Economic Realities of Large Language Models
Ben Lorica and Paco Nathan on LLM Challenges, Neural Operators in Math, and Custom AI Platforms.
From Hype to Reality: The Current State of Enterprise Generative AI Adoption
Evangelos Simoudis on Adoption Challenges, Use Cases, Implementation Strategies, and Future Trends.
Automating Unstructured Data Extraction with LLMs
Shuveb Hussain on Bridging Unstructured and Structured Data with AI-Powered ETL.
Generative AI in Context: Hybrid Intelligence and Responsible Development
Alfred Spector on Balancing Ethics, Skills, and Regulation in the AI Era.
Monthly Roundup: Navigating the Peaks and Valleys of Generative AI Technology
Ben Lorica and Paco Nathan on LLM User Interfaces, AI Alignment, GenAI in the Enterprise, and a GenAI Scorecard.
From Preparation to Recovery: Mastering AI Incident Response
Andrew Burt on Proactive Strategies for Effective AI Incident Management.