Microsoft is extending Work IQ into Dynamics 365 business applications, giving Copilot and AI agents access to operational data, processes, and context that could help them reason across finance, supply chain, sales, service, and Microsoft 365.
AI leaders are accelerating their push into vertical industries through customer-designed products, deeper data integration, and industry-specific skills.
Work IQ highlights Microsoft’s growing effort to turn its enormous reservoir of enterprise context into a powerful asset for more efficient AI agents.
Work IQ represents a potentially important evolution in enterprise AI, moving personalization beyond emails and documents toward a deeper understanding of organizational context.
At Salesforce Dreamforce, Sam Altman discussed the accelerating capabilities of AI models, the risks of concentrated power, and the need for safety, while offering a striking account of OpenAI’s involvement in a Hugging Face security incident.
As it takes on work ranging from coding to running productivity apps to combining existing AI experiences, Copilot emerges as the driver of an expanding range of business activities.
Sam Altman’s Dreamforce conversation with Marc Benioff offers a revealing look at OpenAI’s thinking around AI safety, security, industry regulation, and corporate responsibility.
Marc Benioff’s AI-centered vision combines enterprise data, autonomous software, major technology partnerships, and new use cases spanning logistics, IT service management, government, and other business functions.
Work IQ could address one of enterprise AI’s biggest obstacles: agents that lack business context. Microsoft is using existing applications, processes, semantic models, and institutional knowledge to create a reusable intelligence foundation for Copilot and agents.
Mark Benioff’s conversation with Sam Altman capped a Dreamforce that positioned Salesforce as an increasingly prominent voice in the wider global AI debate.
Experts including forward-deployed engineers (FDEs) are deemed key factor in accelerating outcomes, reducing risk, and ensuring operational impact of AI.
Workday is expanding agentic AI across the contract lifecycle with a new Contract Workflow Agent designed to automate manual work and connect contract tasks with broader business workflows.
AWS will add 2 million NVIDIA GPUs to its infrastructure in 2027 and 2028, including Blackwell Ultra, Rubin and Rubin Ultra architectures, as the cloud giant prepares for surging demand for next-generation AI workloads.
Microsoft plans to more than triple data center capacity to 38 gigawatts by 2032, highlighting the extraordinary infrastructure build-out required to meet soaring AI compute demand.
A new AI safety framework for U.S. schools prohibits student and educator data from being used for AI model training while establishing requirements for human oversight, transparency, privacy, and accountability from participating technology providers.
Microsoft is targeting CRM vendor lock-in with Dynamics 365 Activate, an AI-powered migration tool designed to make moving from Salesforce faster, simpler, and less risky.
Amazon and Qualcomm Technologies have announced a multi-generational collaboration focused on customized silicon and connectivity for AI infrastructure, with Amazon potentially making up to $60 billion in payments for Qualcomm products, technology, systems and manufacturing services.
Salesforce is reportedly considering a nearly $2 billion acquisition of Listen Labs, potentially bringing AI-powered customer research and deeper context into its Agentforce ecosystem.
Extended, powerful partnerships will prove to be just as important as the expanding AIforce, as Salesforce challenges the traditional mindset with its approach to the future of tech.
CEO Marc Benioff explained in his Dreamforce keynote how Salesforce unlocks value for customers beyond its AIforce through extended partnerships.