By automating routine tasks, coordinating workflows, and facilitating real-time communication, agents mitigate many of the challenges that arise with hybrid work teams.
Purpose-built agents are focused on one specific job. And they boast a superpower most GPT-based tools can’t match: they take action and get real work done.
AI plays a key role in personalized customer experiences. But a data platform that connects the dots between every data point is the real hero.
Here are five industry-specific examples of how an AI copilot can make your work life easier.
Here's a peek into the future of a company using AI in every corner of its business.
Many business apps have a short(ish) shelf life. AI helps extend it. Here’s how.
Regulators, academics and politicians are calling for independent AI audits as a way to protect the public from AI’s potential harms. How to prepare.
Vector databases make it easier for you to access, analyze, and act on all your business data.
Small models are typically deployed for a single specific task. They're far less expensive, more efficient, higher performing and, often, more accurate than LLMs.
Every AI platform and copilot out there is built on reams of data. But the most accurate and relevant ones are built on data and metadata. Here's why that matters.
