What a recent blog post reveals about how AWS is gunning for victory in the Amazon versus Oracle cloud database competition.
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At Workday Rising 2025, Workday revealed its strategy to redefine ERP for the AI Era: launching agentic AI agents, expanding its data‑cloud offerings with Snowflake, introducing Flex Credits, and deepening ties with Microsoft.
With a reach into 75% of the Fortune Global 100, NTT DATA brings unparalleled implementation experience to Google Cloud’s AI capabilities.
Snowflake doubles down on AI and data integration with sweeping new product launches to drive enterprise-wide AI adoption and long-term growth.
Google Cloud applies AI to data management, integration of widely used developer environments, and enterprise-grade storage.
SAP and Salesforce pivot from apps to AI-powered data clouds, redefining enterprise software’s future.
SAP and Salesforce are shifting from an apps-first battle to a race for dominance in data clouds and agentic AI as the AI era transforms enterprise priorities.
Snowflake expands its AI Data Cloud to help automotive companies manage data and drive digital innovation.
Despite media hype, hyperscalers like AWS, Google Cloud, Oracle, and Microsoft are massively investing in AI and cloud infrastructure, not scaling back.
Alphabet is pouring $75 billion into cloud infrastructure after Google Cloud’s Q1 growth rate slipped, constrained by the company’s struggle to keep pace with surging demand.
Salesforce forecasts FY ’26 revenue growth of 7% to 8%, with AI and Data Cloud offsetting weaker segments.
There’s an AI agent battle shaping up as SAP and Salesforce stake out the most aggressive positions, pivoting away from focus on applications to emphasize data, clouds, and AI.
SAP’s new Business Data Cloud harmonizes enterprise data, fueling AI and redefining enterprise application value.
SAP is shifting from traditional applications to a more integrated platform that supports AI, data, and machine learning.
Bayer’s adoption of Google Cloud’s AlloyDB is unlocking new possibilities in AI, agriculture, and healthcare innovation.
Google Cloud aims to leverage its existing database technologies, particularly AlloyDB, to support GenAI applications, emphasizing the importance of vector search for unstructured data processing.
AI Data Cloud customers should be able to hyper-personalize marketing campaigns, improve customer journeys, and increase ops efficiency.
Piyush Saxena explains how HCLTech enables businesses to transform complex data into actionable insights using Google BigQuery and AI.
Teradata emphasizes using open table formats to create value for customers, as it enables consolidation for managing data which leads to trusted systems.
By offering to deploy Oracle Cloud entirely within clients’ facilities, Larry Ellison sets the stage for a new era in customizable, on-premises cloud offerings.