Matt Hobbs shares PwC perspective on the need for agentic AI orchestration, how agents can help address technical debt, and continued investment in cloud infrastructure to support AI rollouts.

Copilot Studio enables users to build custom AI agents across Microsoft 365 and business systems with tools suited for both beginners and developers.

Oracle’s Q1 results set records, but Ellison is focused on the future, predicting that AI inferencing will automate every major industry process and that Oracle is uniquely positioned to lead.

From purchase orders to vendor approvals, many steps in common business processes can be managed without human intervention. Microsoft is making that easier to implement in Copilot Studio.

In a dramatic shift, Oracle leapfrogged Microsoft in cloud commitments, driven by massive AI contracts and a long-term data strategy dating back 50 years.

Oracle’s $455B RPO marks an industry-first, setting the stage for massive cloud infrastructure revenue growth through 2030.

Zurich offers new AI tools for building apps, securing the wide range of integrations that customers have in use, and adds tools to analyze and streamline processes.

Oracle’s RPO has skyrocketed 359% to $455B, surpassing Microsoft and reshaping the cloud computing hierarchy.

Marc Benioff refutes the “SaaS is dead” narrative with data, biblical wisdom, and a vision of AI-enhanced applications at Salesforce.

Anthropic disclosure of several AI-powered security threats, including a ransomware development operation, shows how even non-technical users can now build and launch attacks.

Business leaders shouldn’t abandon SaaS in favor of AI agents; the strategic question is how they work together.

Benioff’s pivot to AI and data aims to rejuvenate Salesforce growth and disrupt traditional SaaS boundaries.

Anthropic uses actual attacks against its own software to lay out specific ways that threat actors are leveraging AI to further their goals. Report serves as a troubling call to action for vendors, partners, and customers.

Agentic AI is driving ServiceNow and Salesforce to expand beyond their traditional domains of ITSM and CRM.

Microsoft’s new Copilot Mode in Edge transforms web browsing from a linear task into an intelligent, AI-driven experience that anticipates needs, performs tasks, and organizes your online journey.

CEO of Microsoft AI Mustafa Suleyman warns that believing AI is conscious could lead to mental health risks and misguided calls for AI rights.

AI Partner Executive is a new resource hub launching September 2025 to help Microsoft partners navigate the shift toward AI Agents, Copilot Studio, and the evolving AI Business Solutions strategy.

Google Cloud has cut energy consumption for Gemini Apps text prompts by an astonishing 33X and expects to continue making…

Models delivering voice and strong instruction-following speak to a strategy of building in-house in addition to partnerships. A call for new talent undescores internal development focus.

Google’s energy-efficient AI models offer hope and direction for the future of compute.

Salesforce launches Agentforce for the Public Sector, delivering compliant AI agents tailored to government needs.

Despite AI hype, most implementations still struggle with basics like data quality, clarity, and stakeholder alignment.

ServiceNow and SENAI-SP partner to train hundreds in AI, automation, and low-code skills in Brazil by 2026 — part of a global goal to upskill 3 million people by 2027.

CEO Sridhar Ramaswamy confirms AI as Snowflake’s growth engine, influencing 50% of new customers and becoming central to 25% of deployments, while Q2 revenue climbs to $1.09B amid rising competition.

Explore how AI copilots, agents, and breakthrough standards like MCP and A2A are redefining work as enterprises shift to AI-first models and human-AI collaboration.

Snowflake’s Q2 report shows a 32% jump in revenue and rising AI focus, with 25% of customer use cases AI-driven. Ramaswamy warns of intensifying competition from Databricks, Palantir, and the cloud giants.

Governance and trust are essential to integrating AI agents into human workforces, with only 24% comfortable with unsupervised AI.