Google Cloud introduced AI-driven tools like the SOW Analyzer and Bot-Assisted Live Chat to help partners streamline processes, improve support, and enhance customer service delivery.
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Cycle time, accuracy, cost per successful task completion, and end-user satisfaction are vital metrics that will give visibility into the success of AI projects.
Rob Ashe, Blaine Grzegorek, and John Siefert explore how ISVs provide industry-specific ERP solutions, reduce internal development costs, and enhance scalability.
The public sector now gains access to Salesforce’s AI innovations as Agentforce achieves FedRAMP High, ensuring secure and compliant technology adoption.
Sample app highlights how MCP can equip users with the industry-specific data they require from a diverse set of external tools and systems, working alongside a powerful AI orchestration engine.
In response to Europe’s complex data regulations, AWS has created a sovereign cloud offering high performance without compromising compliance or security.
ServiceNow and EY leaders share how AI-powered brand and demand integration, partner marketing, and consistent messaging are reshaping B2B marketing strategy.
SAP and AWS launch AI Co-Innovation Program to help enterprises build intelligent applications with ERP and generative AI integration.
Shortly after releasing A2A, Google is accelerating agent development and communications with updated functionality and support from leading software platform providers.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
This week’s Build conference featured a new round of AI agent interoperability initiatives from Microsoft, with a particular focus on Model Context Protocol (MCP) and new servers.
Microsoft’s latest announcements boost agentic AI adoption with Copilot Tuning, multi-agent orchestration, and new developer tools for accessible, enterprise-ready AI.
SAP leaders argue that agentic AI will enhance — rather than replace — enterprise applications by integrating seamlessly with data and AI capabilities.
Workday introduces a centralized approach to managing digital labor with its Agent System of Record, aligning human and AI workflows for enterprise clarity.
Workday takes a cautious, customer-driven approach to agentic AI by focusing on a small number of high-impact AI agents to ensure business value and trust.
Under Arvind Krishna’s leadership, IBM has reinvented itself as a global tech powerhouse by doubling market cap, leading in AI and quantum computing, and committing $150 billion to U.S. innovation and manufacturing.
Data.world acquisition, partnerships with key enteprise software players, and wide range of new AI agents enhance the company’s objective to be the core enterprise software platform.
ServiceNow CEO taps into similar perspective as Microsoft CEO on the impact that AI agents will have on enterprise apps.
At ServiceNow 2025, industry leaders showcased how AI, strategic partnerships, and platform unification are driving tangible transformation across enterprise operations.
Data from security firm Harmonic finds the typical organization has hundreds of AI apps in use, many of them unmanaged, while a majority of firms lack adequate governance strategies.