Arts and EntertainmentBusiness

PepsiCo’s AI Strategy: Owning Core Processes While Leveraging External Technology

PepsiCo’s Chief Strategy Officer reveals how the company buys AI tools while demanding influence over vendor roadmaps. The beverage giant maintains ownership of core AI-augmented processes while leveraging external technology partnerships for scale and innovation.

As enterprises worldwide accelerate their artificial intelligence adoption, PepsiCo has developed a distinctive approach that balances external technology acquisition with internal process ownership. The company’s strategy, articulated by Chief Strategy and Transformation Officer Dr. Athina Kanioura at Salesforce Dreamforce 2025, emphasizes owning core AI-augmented processes while strategically partnering with technology providers.

The Core Philosophy: Own the Process, Influence the Technology

Arts and EntertainmentSoftware Guides

Firefox Integrates Perplexity AI Search Engine as Global Default Option

Mozilla has officially integrated Perplexity’s AI answer engine into Firefox as a permanent search option following successful testing. The feature offers conversational search with cited answers and will expand to mobile devices in coming months.

In a significant move that bridges traditional web browsing with artificial intelligence capabilities, Mozilla has officially integrated AI-powered search engine Perplexity as a default option in its Firefox browser. Unlike competitors developing dedicated AI browsers, Mozilla’s approach allows users to enhance their existing browsing experience with advanced question answering capabilities while maintaining Firefox’s core functionality and privacy-focused philosophy.

From Limited Testing to Global Availability

Arts and EntertainmentManufacturing

Manufacturing AI Deployment Success Hinges on Strategic Data Preparation

Manufacturers possess vast data streams from machines and sensors, yet struggle to extract actionable insights. Learn how structured data preparation through MES enables successful, scalable AI deployment that drives real operational value.

In today’s competitive manufacturing landscape, organizations are sitting on mountains of data generated from every corner of their operations. From sensor networks monitoring equipment performance to production line outputs, the volume of available information continues to grow exponentially. However, the journey from raw data to actionable intelligence remains challenging for many facilities. The promise of artificial intelligence to transform this data into operational excellence is undeniable, but successful implementation requires more than just advanced algorithms.

The critical differentiator between successful and failed AI initiatives lies in the foundational data preparation phase. Without clean, contextualized, and properly structured data, even the most sophisticated AI models will struggle to deliver meaningful insights. This is where Manufacturing Execution Systems (MES) become indispensable, serving as the bridge between disconnected data sources and AI-ready information architectures that support true scalability.

Arts and EntertainmentPolicy

U.S. Megadeals vs. China’s Open Source: The AI Race Intensifies

As OpenAI’s Broadcom deal joins a web of U.S. partnerships, China’s AI firms embrace open-source models. These divergent paths highlight a high-stakes battle for AI dominance, with implications for innovation, risk, and global tech leadership.

The global artificial intelligence landscape is rapidly dividing into two distinct camps: the United States, where megadeals and vertical integration are consolidating power among a handful of giants, and China, where open-source collaboration and adaptability are spreading AI development across a broader ecosystem. Recent announcements, including multimillion-dollar partnerships and strategic investments, underscore how these contrasting philosophies are shaping the future of AI infrastructure, financing, and innovation.

U.S. Megadeals Forge a Trillion-Dollar AI Network