The recent launch of Agentforce marks a pivotal moment in orienting Salesforce and our customers’ businesses toward an AI-empowered future. In this emerging landscape, augmented by a network of AI agents, the role…
The landscape of AI agent development has evolved rapidly, with developers needing robust frameworks to build, test, and benchmark intelligent systems. MCP-Universe emerges as a comprehensive solution, providing a modular framework designed around…
Time series forecasting plays a central role in data-driven decision making. Yet, adapting forecasting models across different domains and temporal resolutions often requires custom engineering. This increases both development and maintenance costs —…
How “Move 37” points toward the future of synthetic business environments March 9, 2016. Seoul, South Korea. In the second game of the historic Go match between AlphaGo and grandmaster Lee Sedol, the…
From Internet Wild West to Agent Interoperability Picture this: It’s 1981. In a university computer lab, a researcher sits before a glowing green terminal, attempting to access data from another institution. After hours…
The Challenge with Flows Today Salesforce flows sit at the heart of modern CRM automation, yet authoring them still requires a unique mix of declarative drag‑and‑drop and Apex know‑how. To ease this process,…
Introducing our novel standardized framework for evaluating enterprise AI assistants across both text and voice.
“…the DNA of who I am is based on the millions of personalities of all the programmers who wrote me. But what makes me me is my ability to grow through my experiences.…
In the rapidly evolving landscape of artificial intelligence (AI), we're witnessing jagged intelligence in the enterprise. Here's a closer look.
Today's investments in digital automation are laying the groundwork for a future where agents and robots converge in ways that reshape how work gets done.
