Insights, updates, and thought leadership on conversational AI, enterprise automation, and the future of customer experience
Five takeaways from Mastercard's 'AI: Intelligence in Action' summit in Johannesburg, where banks like Nedbank, OM Bank, and Standard Bank made one thing clear: the technology isn't the bottleneck anymore. Governance, trust, and context are.
The signals we heard at VivaTech in Paris and Web Summit in Rio, and where we think this is heading: production over pilots, substance over spectacle, and why your operating framework matters more than any single model.
Hybrid search, reranking, ColBERT, adaptive, agentic, GraphRAG, self-RAG. The RAG family has exploded, and every vendor has a favorite. This is a plain-language guide to what each one actually does, which problem it solves, and which ones you probably don't need.
Retrieval-augmented generation is now standard, yet many enterprise deployments still underperform. This article explains the main failure points and a practical operating model for reliable RAG.
Agentic systems promise autonomous workflows, but speech and dialect quality often fail first. Arabic, Turkish, Chinese, and many other non-Western languages face the same gap between datasheet claims and production trust. This article explains why, and what teams should verify.
Most text-to-speech evaluations still optimize for demo quality, not business outcomes. This guide explains how to benchmark TTS for real customer experience, latency targets, and operational reliability.
Letting AI agents spend money is no longer experimental. This article explains how to design delegation policies that make agentic payments auditable, bounded, and safe for enterprise use.
Once AI agents start running business workflows, dashboards are not enough. This article explains how to build an AI control tower with observability, alerts, and decision-level traceability.
Many teams move to multi-agent setups too early or too late. This article explains when a single agent is enough, when to split roles, and how to avoid coordination chaos.
MCP makes tool integration fast, but security decides whether it scales. This guide explains how to secure MCP servers in production with authentication, scoped permissions, and audit-ready logging.
Get the latest insights on conversational AI, enterprise automation, and customer experience delivered to your inbox
No spam, unsubscribe at any time