Articles

  • 1 month ago | itnews.asia | Rahul Pradhan

    In today’s app-driven world, organisations are drowning in a high volume and variety of data. The challenge they face is extracting critical insights from these applications’ operational data using real-time analytics. This is supported by our research that reveals that only 17 percent of enterprises polled have the ability to perform real-time analytics on large volumes of data.

  • 1 month ago | newsbytes.ph | Rahul Pradhan

    In today’s app-driven world, organizations are drowning in growing amounts and types of data. The challenge they face is extracting critical insight from these applications’ operational data using real-time analytics. When coupled with AI, real-time analytics could open the door to hyper-personalized and immediate customer experiences that adapt to a user’s changing circumstances.

  • 1 month ago | techstrong.ai | Rahul Pradhan

    Agentic artificial intelligence (AI) is emerging as the next transformative trend, reshaping applications and the way developers build them. These sophisticated AI agents go beyond basic chatbots. Armed with the ability to understand complex contexts, establish their own goals and dynamically adapt actions based on changing circumstances, these agents can complete tasks previously thought impossible by AI.

  • 1 month ago | techstrong.ai | Rahul Pradhan

    Rahul Pradhan is VP of product and strategy, AI, data and analytics at Couchbase. He has over 16 years of experience leading and managing both engineering and product teams across storage, networking and security domains. Most recently, he led the product management and business strategy team for Dell EMC's Emerging Technologies and Midrange Storage Divisions to bring all flash NVMe, Cloud, and SDS products to market. Before that, he was a principal software engineer at Nortel Networks.

  • Jan 23, 2025 | businessandamerica.com | Rahul Pradhan

    The rising demand for relevant, convenient and personalized customer experiences across all sectors has put modern organizations under pressure to adapt. McKinsey reports that almost three quarters of buyers now expect personalized interactions. The choice is clear: either embrace personalization, with individual offers or tailored updates based on previous habits, or risk falling behind competitors with a standardized approach. Many organizations already do this well.

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