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Uncertainty Isn't One Thing: How to Triage Ambiguity vs. Knowledge Gaps
When your AI says "I'm uncertain," it might not understand the question, or it might not know the answer—and that distinction changes everything. New research from the University of Arizona reveals how diagnosing these different uncertainty types can reduce escalations by 70% and improve accuracy by 42% in financial services AI, transforming vague confidence scores into precise operational insights that route to the right team with the right fix.
When GPUs Meet Grids: Europe Can’t Afford to Sleep on the Energy Question
GPUs are booming. Power to run them is not. If Europe hosts 20 percent of advanced AI compute, that is roughly 10 GW continuous demand, about 25 million Danish homes. (Inspired by The Economist.)
GPT-5 Red-Team Failures: Why Your AI System, Not Just Your Model, Matters
Despite the hype around new AI models like GPT-5, recent red-team testing revealed alarming security vulnerabilities—scoring just 2.4% on security and 13.6% on safety measures. For financial institutions, this highlights a critical insight: your AI governance platform matters far more than which foundation model you choose.
The New Era of Chatbots in Financial Services: From Search Engines to Money Coaches
The financial industry is experiencing a seismic shift in how it interacts with customers. At the heart of this transformation is the evolution of chatbots—from rigid, decision-tree systems to dynamic, generative AI assistants.
Integrating Sales into Support Chatbots: Best Practices for Financial Services
As financial institutions embrace AI-powered chatbots, the question isn’t just how to automate support—but how to responsibly introduce sales capabilities without undermining customer trust.
The AI Financial Revolution: How Banking is Being Rewritten by AI
Finance now treats AI as essential infrastructure, not an experiment. With half of firms using generative AI and 98% boosting investments, algorithms drive fraud detection and portfolio optimization. Next frontier: agentic AI shifting from reactive to proactive banking.
The Essential Guide to Generative AI Team Composition
From product leaders to backend engineers: a guide to assembling the right mix of roles and mindsets for successful generative AI implementation.
Data Retention in AI: Where Does Your Data Go, and Why It Matters for Enterprises
A guide to enterprise AI data retention and security: understand storage policies, compliance requirements, and governance frameworks for safe AI implementation.
Generative AI: A Leadership Guide to Organizational Structure
A guide to structuring generative AI initiatives in your organization: from establishing a Center of Excellence to scaling with distributed teams while maintaining governance.
The AI Maturity Journey: Turning Potential into Business Value
Unlock the true potential of AI with Avido's guide on AI maturity. Learn how to transform your organization through strategic phases from Control to Differentiation for real business value.
Breadth vs. Depth in AI Testing: Why It’s Not Just About What You Test, But How
In AI testing, it’s crucial to focus on both breadth and depth. Learn how variance can reveal unexpected user behaviors and improve your AI’s real-world readiness.
Using AI to Evaluate AI: What It Means for Quality Assurance
Unlock the potential of AI evaluation with "LLM-as-a-Judge." Learn how leveraging AI can streamline quality assurance and enhance your applications before deployment.