Microsoft’s recent layoffs are not just cost-cutting. They’re a strategic realignment for the AI era, signaling a broader shift every business will soon face as the AI revolution transforms work from top to bottom.
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In under a year, AWS and NVIDIA co-engineered a hybrid liquid-air cooling system, showcasing the speed and depth of tech collaboration in the AI era.
IBM unveils an industry-first governance suite for agentic AI, signaling a major pivot toward enterprise AI security.
SAP Business Network is a global B2B platform that uses AI and data-driven collaboration to help companies build resilient, customer-centric supply chains in an unpredictable world.
Nicus helps large enterprises connect technology costs to business value through AI-powered analytics.
Major health system shows the importance of planning for governance in the earliest days of deploying AI tech, as well as building a stable of tech vendors and platforms to enable innovation.
From workflow automation to HR threat detection, Bearing is redefining security innovation with agentic AI.
Duke Health chief data scientists details core components of governance, as well as work with Avanade, Microsoft, and other vendors to derive maximum advantage from AI technology.
SAP leads by example, leveraging its own sustainability software to tackle data management, compliance, and emissions tracking challenges.
Leading cloud and AI providers are partnering with enterprise customers to develop a comprehensive framework designed to secure AI systems and agents, advancing the industry’s ongoing push for stronger safeguards.
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.
Bonnie Tinder shares insights from a recent Salesforce event, exploring how AI agents, unified data, and customer-focused innovation are reshaping the enterprise software landscape.
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.
Ajay Patel of IBM outlines how enterprises are shifting from AI experimentation to real-world application, especially in sales, R&D, and operations.
Oracle and SAP have rebranded themselves as cloud-first AI powerhouses, rivaling Google Cloud’s dominance.
Marc Benioff’s 30%-50% AI impact statement puts Salesforce in the spotlight — but also under scrutiny. Are these numbers realistic, or do they reveal gaps in communication about AI’s real role?
OpenAI’s new deal with Google Cloud signals a strategic shift to diversify compute capacity and ease growing tensions in its complex partnership with Microsoft.
With Agentic AI powering 30–50% of Salesforce operations, Marc Benioff’s lack of specificity on human job evolution triggers skepticism.
AI agents present opportunities to break down data silos, forecast health events, and develop personalized treatment plans. Such use cases benefit patients, providers, and the entire healthcare ecosystem.
Workday earns ISO 42001 and NIST AI RMF accreditations, reinforcing its commitment to responsible, transparent, and trustworthy AI governance.