Salesforce’s latest AI announcement combines autonomous customer support, responsible AI governance, and a pricing model built around delivering successful business outcomes.
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Autonomous agent or ‘autopilot’ – touted for executing high-level autonomous tasks – now offers improved usability and model choice.
As digital transformation enters the AI era, ServiceNow and Accenture are helping organizations move beyond cloud migration by embedding AI agents into cybersecurity, compliance, and enterprise risk management workflows.
SAP is partnering with Giotto.ai to evaluate reasoning-focused AI models that could make Joule agents more reliable, secure, and effective in complex enterprise decision-making.
Cecilia Flombaum and John Scandar explain how AI is reshaping enterprise sales cycles, with increased focus on governance, ROI, and the convergence of business applications and modern work platforms.
A new generation of AI-powered enterprise applications combines reasoning, workflow automation, and transactional execution.
The next wave of enterprise AI will depend less on models and more on governed, connected data and operational context, according to Salesforce and Databricks.
Customers are reporting high confidence levels in AI agents managing data workflows, but the numbers drop when tasks apply to AI workflows such as coding functions.
Microsoft is accelerating its Frontier Firm vision with a new business unit that embeds 6,000 AI and industry experts directly with customers to build, optimize, and scale enterprise AI systems.
Dona Sarkar argues that most AI failures stem from unclear business objectives and poor data quality rather than limitations in the technology itself.
Enterprise AI growth increasingly depends on implementation expertise rather than model capabilities alone.
Addition to the company’s governance control plan eliminates a wide range of manual steps required to transition an agent from local usage to enterprise availability.
OpenAI’s new token management tool highlights a deeper challenge: CEOs, not AI administrators, must decide how scarce AI resources are allocated across the business.
Microsoft modernized employee device procurement with a centralized platform before adding agentic AI, cutting costs by $20M and simplifying the user experience.
IBM and Google Cloud have launched a new Google Cloud Practice designed to help organizations accelerate AI deployments by combining IBM Consulting expertise with Google Cloud’s Gemini Enterprise Agent Platform, cybersecurity capabilities, and advanced data technologies.
KPMG and Microsoft are expanding their partnership to help enterprises deploy agentic AI at scale through standardized governance, deployment, and management frameworks.
At Workday DevCon in Las Vegas, Workday introduced major developer platform innovations, including Developer Agent and an agent-ready version of Workday Build, designed to accelerate AI-powered application development while maintaining enterprise-grade security and governance.
ServiceNow and Accenture have launched a forward deployed engineering program that embeds AI experts directly with customers to accelerate the deployment, scaling, and business impact of agentic AI initiatives.
Latest release of agent-building platform bolsters orchestration in complex workflows, simplifies integration by tapping Model Context Protocol (MCP).
James Oleinik explains how enterprises can scale AI by combining centralized governance with business-led innovation and operational flexibility.