Despite strong optimism around AI adoption, Workday found that most enterprise users still act as intermediaries between AI tools, reducing productivity and undermining the promise of automation.
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Sachin Gandhi explains how AI agents are transforming supply chains by autonomously planning and executing logistics operations.
Microsoft says the future of AI success depends less on individual readiness and more on organizational culture, management support, and redesigned workflows.
The enterprise AI battleground is shifting from model access to operational context, governance, and differentiated execution infrastructure.
How Oracle is embedding agentic AI directly into its database platform to help enterprises accelerate innovation, strengthen security, and reduce architectural complexity.
Anthropic’s reported $200 billion Google Cloud commitment highlights the staggering scale of AI infrastructure demand and the increasingly collaborative relationships between traditional hyperscale competitors.
Enterprise AI has shifted from experimentation to urgent execution, forcing cloud providers to deliver measurable business outcomes faster than ever.
Google Cloud is accelerating enterprise AI adoption with specialized AI engineers and a $750 million ecosystem fund, signaling a more aggressive customer execution strategy.
SAP and Palantir are helping redefine enterprise technology, as Christian Klein and Alex Karp both argue that AI-driven execution has moved their companies beyond the traditional definition of software vendors.
SAP and Palantir argue that agentic AI is transforming their businesses beyond traditional software into something more akin to business AI platforms and AI infrastructure providers.
Enterprise AI success depends not just on innovation speed, but on governance, interoperability, migration readiness, and organizational change.
SAP’s Sapphire announcements reveal a company shifting from software provider to business AI powerhouse, with agentic AI, API modernization, and tighter enterprise security at the center.
SAP is positioning industry-specific AI as a stronger differentiator than generic horizontal enterprise AI tools.
SAP is accelerating its autonomous enterprise strategy with agents, Business Data Cloud, and industry-specific innovation in what could be its most ambitious transformation yet.
Skills codify workflow details that are too often managed as ‘institutional knowledge,’ making those instructions accessible and reusable for agentic AI automation.
At Paragon Films, MCP enables AI agents to do everything from pinpointing invoice discrepancies to making employee knowledge ‘immortal.’
OpenAI’s expanded AWS partnership signals a major shift toward cooperative AI ecosystems where competitors increasingly collaborate to accelerate enterprise adoption.
CEO Christian Klein has been aggressively forging a new SAP via acquisitions in the data field, a shift to consumption pricing, and AI-centered partnerships.
SAP’s AI plan includes strategic partnerships and acquisitions as well as major shifts toward consumption pricing and customer alignment.
A conversation about enterprise AI readiness, governance challenges, and the next major growth opportunity in intelligent business applications.