Archive
Tag: Enterprise Cloud
Slack Opens Up Conversational Data to Power Smarter AI Agents
Slack aims to help developers leverage the vast amount of conversational data stored on its platform. The goal: Build better, secure, and context-aware AI agents for the enterprise. To achieve this, the Salesforce-owned firm is launching not only a real-time search API, but also a Model Context Protocol server and other new tools. “The future […]
GitHub Copilot Now Automates Java and .NET App Modernization
GitHub’s AI coding assistant is taking on app modernization, helping developers complete in days what once took far longer. Microsoft is rolling out new capabilities that automate Java and .NET upgrades, as well as convert legacy applications to run on Azure. The update to GitHub Copilot is part of a larger announcement in which Microsoft […]
Salesforce’s Missionforce Sets Sights on Modernizing National Security with AI Agents
Salesforce Chief Executive Marc Benioff describes artificial intelligence as being a “truly transformational technology with immense potential.” Since launching Agentforce, his company has been looking to infuse AI into every aspect of society. Now, it’s targeting our national security with the introduction of a new offering called Missionforce. Led by Benioff’s Chief of Staff, Salesforce’s […]
Can Atlassian Build the AI Browser Enterprises Actually Need?
AI agents are breaking free of the cloud and into the browser, a shift that could turn the workplace’s most familiar tool into a critical bridge between employees and bots in the era of the hybrid workforce. To stake its claim in this shift, Atlassian has acquired The Browser Company, the startup behind the AI-powered […]
Salesforce Sets the Stage for ITSM at Dreamforce
In a few weeks at its annual Dreamforce conference, Salesforce is expected to announce new AI-powered updates to its platform. While its Agentforce service will undoubtedly take center stage, the company will formally launch a new product that puts it further in direct competition with ServiceNow: Agentic IT Service. Talk of Salesforce’s IT service management […]
Sierra Debuts Voice Sims to Train AI Agents for Chaotic Customer Calls
Before an AI voice agent ever picks up the phone, companies need to know it is well-suited to handling the chaos of a real customer call. To help ensure this happens, Sierra is launching Voice Sims, a new tool that uses AI to train and refine these bots. It acts like a quality assurance system […]
ServiceNow Wants You to Vibe Code Your Next Enterprise App
ServiceNow’s new platform release is now available, and it includes a vibe coding tool for users to build their next enterprise application. Described as a “breakthrough” for app development, ServiceNow’s Build Agent promises to transform an idea into a production-ready app in seconds, with no coding needed, just natural language. Simply type what you want […]
HubSpot Lays out Its Vision for Human-AI Teams With New Data Hub, Smart CRM, and Breeze Tools
HubSpot is joining the chorus of tech companies betting that the future of work isn’t human or AI, but the force unlocked when the two operate in sync. At this year’s INBOUND conference, the CRM and marketing automation company unveiled its Fall 2025 release, featuring a range of new tools designed to help its customers […]
What Salesforce Discovered by Letting AI Run Its Help Portal
Salesforce isn’t shy about how it’s using its products, especially its agent development platform. When it comes to embracing AI agents, the enterprise tech firm has openly touted that it’s “drinking its own champagne.” Since Agentforce’s launch, CEO Marc Benioff has used every opportunity to showcase how the service is helping bolster his company’s help […]
Ai2 Brings OLMo, Molmo, and Tülu AI Models to Enterprise Teams with Cirrascale Deal
Non-profit AI lab Ai2 is partnering with infrastructure platform provider Cirrascale in a move to commercialize its open-source models. OLMo 2, Molmo, and Tülu 3 can now be run via API on Cirrascale’s Inference Platform, enabling companies to avoid the need to deploy the models themselves and the associated costs of in-house systems or expertise. […]