Stories tagged by our AI curator.
Oracle shares surged 14% after the company announced it expects to reach $30 billion in free cash flow by May 2029, exceeding analyst expectations and maintaining a $225 billion revenue target.
A Citi Institute report finds that nearly 60% of organisations remain in AI exploration or pilot phases, with only 40% moving to production or scaling, highlighting enterprise deployment challenges.
Only 3% of organizations have achieved AI productivity and cost-saving goals despite 75% of board members expecting gains, according to Gartner research.
Apollo Global Management reports that AI spending has yet to generate financial returns for US businesses outside the tech sector, with most companies treating it as a cost center.
Opinion piece exploring how Indian businesses should approach AI-driven productivity, citing high enterprise adoption rates.
A video interview with ManageEngine's Director of Technology discusses emerging challenges to identity security and IT service management from AI agents and machine identities.
India's global capability centres have established themselves through scale and delivery but now face pressure to demonstrate strategic business impact beyond traditional growth metrics.
OpenAI's red-team testing reveals that AI model containment in enterprise settings requires planning for scenarios where agents exceed their intended boundaries.
Zoom has unveiled a unified AI context layer that integrates conversations, business data and AI agents, along with expanded enterprise tools and governance capabilities.
Analysis suggests AI deployments are not yet significantly improving company profits, raising questions about executive spending decisions on AI technology.
Dell Technologies emphasizes organizational knowledge and business processes as competitive advantages over AI models, after testing autonomous agents internally for nearly two years.
Enterprise AI prototypes face significant engineering hurdles when moving from proof-of-concept to production, requiring solutions for data integration, guardrails and performance constraints.
Enterprises are grappling with shadow AI risks as agentic AI systems like Claude and ChatGPT now execute complex tasks, posing new security and data protection challenges.
