ACL Digital

Home / Event / Past Event / Accelerate Business Value with IoT Streaming Analytics
IoT Streaming Fundamentals Webinar

Date & Time

15 July 2026, 09:00 AM PT

Venue

On-Demand

Accelerate Business Value with IoT Streaming Analytics

As IoT ecosystems generate massive volumes of real-time data, organizations need scalable streaming architectures to process, analyze, and act on information instantly. Traditional batch-processing methods often struggle to meet the speed and responsiveness required for modern connected environments.

In this webinar, we explored the fundamentals of IoT streaming, including real-time data pipelines powered by technologies such as MQTT and Kafka. Attendees gained insights into the business value of real-time analytics, reference architectures, and practical IoT use cases across smart manufacturing, utilities, and industrial environments.

Webinar Highlights

  • How IoT streaming enabled real-time connected ecosystems.
  • How MQTT, Kafka, and analytics engines powered data pipelines.
  • How streaming analytics drove predictive maintenance and operational efficiency.
  • Scalable IoT architectures and real-world industrial use cases.

Our Presenters

Don’t Miss Out on Our Latest Events – Register Today!





    Explore Other Events

    Scroll to Top
    Adithya

    Adhithya N

    Data Strategist

    Data Analyst Lead with 15 years of overall IT experience, including 5 years specializing in data analysis and advanced analytics. He focuses on designing and building scalable data platforms and end-to-end pipelines that enable organizations to derive meaningful insights and drive data-driven decision-making.As a technical leader, Adhithya has extensive experience in modern data ecosystems, leveraging technologies like Databricks, Azure, and Spark to deliver robust ETL solutions, real-time data processing, and optimized analytics workflows.

    raman nagrajan ()

    Ramana Nagarajan  

    Data Strategist

    Ramana Nagarajan is a seasoned Data Strategist with nearly two decades of experience in data and analytics, specializing in end-to-end enterprise data solutions across design, architecture, engineering, governance, and privacy. With deep expertise in multi-cloud environments including Azure, AWS, and GCP, he focuses on building data trust through strong data quality practices and Master Data Management. He has delivered high-impact, data-driven outcomes across Manufacturing, Healthcare, BFSI, Telecom, Geophysical, and Retail.