Data to decisions examines the enablement of data-driven decisions across organizations. Holistic, data-informed decisions require a multi-disciplinary approach that combines performance monitoring with traditional business intelligence and analytic technologies. In addition, data-driven decisions are increasingly delivered in the context of business applications rather than in separate, analytic interfaces.
Breakdown of the consequential themes from AWS re:Invent 2025, what they signal for the future, and how to prepare your organization for this shift.
Anthropic, Block and OpenAI have contributed their technologies and emerging standards to connect AI agents to the Agentic AI Foundation, a project under The Linux Foundation.
Accenture and Anthropic launched a partnership that revolves around driving Claude deployments in the enterprise. The news lands a few days after Accenture announced a similar partnership with OpenAI.
CVS Health is betting it can leverage technology and AI to create an "engagement as a service" strategy and an integrated platform that ties together its brands that include Aetna, CVS Caremark, CVS Pharmacy and Health Care Delivery.
Confluent gives IBM a platform that will connect and reuse data for applications notably AI agents. In many ways, Confluent will be to IBM what MuleSoft and Informatica is to Salesforce.
AWS re:Invent 2025 featured the usual firehose of news, announcements and tech talks, but it's also clear that AWS is becoming a different company. Yes, AWS is firmly committed to developers and dedicated to creating building blocks needed to scale agentic AI. But AWS is clearly more than an infrastructure company now. Yet it is not quite a software company either.
AWS re:Invent marked a pivotal shift in the cloud giant's trajectory. Moving beyond its traditional focus on core compute primitives, AWS is aggressively "moving up the stack" to dominate applied AI, data strategy, and agentic frameworks.
Salesforce reported better-than-expected third quarter results, said it has reached 9,500 paid deals for Agentforce and upped its outlook for the fiscal year.
Snowflake expanded its partnership with Anthropic to cover joint sales efforts and model integration with Snowflake Intelligence, detailed AWS Marketplace growth and teamed up with Accenture on enterprise AI deployments. The company also reported strong third quarter results.
Amazon Connect is the lead for AWS when it comes to taking a bunch of building blocks and "primitives" and compiling them for enterprise use cases. Amazon Connect isn't about being a contact center application as much as it is addressing customer-facing use cases starting with service.
AWS CEO Matt Garman said Trainium 3 early demand is strong, the company's hardware ambitions revolve around providing cloud services and enterprises are seeing strong returns amid AI bubble talk.
Dr. Swami Sivasubramanian, Vice President of Agentic AI, made the case that AWS' suite of AI tools is best suited for wrangling AI agents and customizing models to deliver business outcomes.
