For agentic AI to be truly effective in finance, it needs a foundation of industry-specific knowledge. Specialized language ...

Open connectivity: Pega supports emerging agent interoperability standards including Model Context Protocol (MCP) and ...

Pega is taking a contrarian approach to enterprise AI agents, arguing that workflow-based automation is more reliable than ...

Registrants will receive two complimentary resources post-event, the "Process Automation Handbook: Navigate the Agentic Hype" and ... trademark and can also be a logo, a company name (or part ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access information on a device and to provide personalised ads and content, ad and ...

Find out what the next leap in the evolution of artificial intelligence is and how it may affect the way accountants do their ...

Unlike conventional AI, designed to automate repetitive jobs, I've found that agentic ... process, making it difficult for organizations to adapt to the dynamic talent market. Automation in ...

The emergence of software-based automation over the ... scripts and bots to robotic process automation (RPA) and cloud-based automation platforms. Today, agentic AI — software agents that ...

Josh Bailes, Senior Vice President for Groundswell, emphasized the importance of establishing a baseline, defining success in mission outcomes and automating purposefully when adopting agentic AI. He ...

(MENAFN- PR Newswire) People have long turned to robots for automating repetitive tasks, freeing themselves to focus on more fulfilling and important work. Businesses have embraced automation to ...

Barenz highlighted that government agencies are typically a year behind in adopting new technologies and stressed the importance of securing and authorizing these technologies through an ATO process.