Experts in the SAP community highlight resilience as a key indicator of AI performance in ERP systems. The article discusses the importance of observability and governance, upcoming AI events, and the challenges of managing agent-based AI within ERP environments.
The FCC has ruled that telemarketing calls using artificial intelligence must comply with TCPA restrictions on prerecorded voice messages. States like California, Maine, and Utah have enacted regulations requiring businesses to disclose AI use and obtain consumer consent before making such calls.
During a House Science Committee hearing, Michael Kratsios criticized state-level AI regulations as “anti-innovation,” emphasizing the need for a unified national policy. He highlighted the administration’s initiatives aimed at boosting AI research and workforce development, including partnerships with international tech leaders.
A coalition of EU lawmakers is urging the European Commission to ban AI-generated nudity applications under the EU AI Act, citing concerns about non-consensual intimate images produced by X’s AI model Grok.
As virtual healthcare enters the AI era, healthcare leaders must prioritize strategic integration focused on infrastructure, governance, and trust to enhance patient-provider relationships and improve care outcomes.
Illinois, Texas, and Colorado will implement new laws regulating AI use in the workforce starting in 2026, despite federal efforts to prevent state-level AI regulations. These laws focus on preventing AI discrimination and ensuring transparency in AI decision-making for employers and workers.
New UK laws will soon make it illegal to create online sexual images of individuals without their consent, targeting AI-generated deepfakes and ‘nudification’ tools as part of a broader effort to address non-consensual intimate imagery.
AI governance is essential for successful data monetization, establishing rules and frameworks that convert meaningful data into value. As businesses rely more on AI systems, effective governance mitigates risks and enhances data quality and reliability to generate revenue.
Experts emphasize the necessity of a robust legal framework for regulating AI in China, highlighting its role in fostering innovation and ensuring safety. Recent developments, including revised laws and penalties for AI misuse, aim to balance technological advancement with risk management.
Syntes AI emphasizes that governance, rather than model performance, is the main barrier to scaling enterprise AI. They argue that integrating effective governance into AI systems ensures trust, transparency, and accountability as organizations move beyond pilot projects.
