Businesses have already plunged headfirst into AI adoption, racing to deploy chatbots, content generators, and decision-support tools across their operations. According to McKinsey, 78% of companies use AI in at least one business function. The frenzy of implementation is understandable — everyone sees the potential value. But in this rush, many organizations overlook the fact […]<br /> The post How Explainable AI Builds Trust and Accountability appeared first on Unite.AI. [...]
Presented by SalesforceIn 2025, Salesforce conducted a series of C-suite research studies to capture if and how top decision-makers are building an agentic AI strategy. While the research shows positi [...]
A doctor in a hospital exam room watches as a medical transcription agent updates electronic health records, prompts prescription options, and surfaces patient history in real time. A computer vision [...]
AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few co [...]
Four separate RSAC 2026 keynotes arrived at the same conclusion without coordinating. Microsoft's Vasu Jakkal told attendees that zero trust must extend to AI. Cisco's Jeetu Patel called for [...]
As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise syst [...]