AI Automation AI Strategy Explainability 
Unite.AI
OCTOBER 25, 2024
Fraud detection has become more robust with advanced AI algorithms that help identify and prevent fraudulent activities, thereby safeguarding assets and reducing risks. In wealth management, AI automates asset identification, improving the accuracy and speed of collateral processing. GDPR, CCPA) and industry regulations (e.g.,
IBM Journey to AI blog
JULY 19, 2023
We believe that leveraging generative AI-Automation can drive benefits in life sciences—including in regulated domains—and reduce cycle times for creating AE Narratives by at least 50%, based on work being done by IBM Consulting and the Pharmacovigilance group at a global BioPharma company.
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Unite.AI
JUNE 17, 2024
You are known for emphasizing how empowering AI is, but most people fear losing their jobs. What are the skills that humans need to reinforce in order to not be replaced by AI? It's true that the specter of job losses due to AI automation is a real fear for many. One key aspect is job design.
AI Impacts
JULY 20, 2023
I collected my favorite public pieces of research on AI strategy, governance, and forecasting from 2023 so far. May) Current approaches to building general-purpose AI systems tend to produce systems with both beneficial and harmful capabilities. We explain why model evaluation is critical for addressing extreme risks.
Unite.AI
JULY 25, 2024
This includes optimizing data collection processes, fostering transparency into AI decision making rationale, and leveraging AI model insights to refine human-driven processes. Explainability is key to fostering trust by providing clear rationale that lays bare the decision-making process. But reskilling alone is not enough.
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