From Data to Decisions: How GenAI Supports Time-Series Monitoring and Manual Interventions
Manufacturing with IoT (Industrial IoT or IIoT) faces several challenges when it comes to costs of poor quality and reducing time to action—the time it takes for data to be collected, analysed, and acted upon. Watch the recorded webinar from CrateDB and Axcess.io to discover how “Agent 1952” solutions power GenAI integration, leveraging real-time data and actionable insights to drive operational efficiency.
In the recording we showcase how CrateDB enables Axcess.io to leverage their expertise within manufacturing:
- To provide faster data processing and real-time insights.
- To enable predictive maintenance and anomaly detection.
- To optimize processes by intelligent automation.
- To allow for human-AI collaboration using Natural Language Processing.
- To mitigate risks by generating incident response plans in real-time.
- To predict and act across entire supply chains and logistics.
Discover how CrateDB’s powerful real-time analytics can make manufacturing fast and smart and help operators by improving decision-making while reducing manual effort.
About CrateDB
CrateDB is a high-performance distributed database designed for real-time analytics and hybrid search. It efficiently handles large-scale data of all types with exceptional speed, all with SQL.Our Speakers

Amal Gupta is a leading technology expert who has enabled digital solutions for large organisations in the consumer and business sectors. These include telecoms, consumer goods, financial and Hi-Tech companies. He is now leading business solutions for Axcess.io using ever-evolving AI and data technologies. He is curious and always happy to have coffee discussions!

Senior Cloud Solution Architect specializing in digitization and modernization with over 20 years of experience in transforming legacy systems and processes into modern, digitally enabled solutions.

Senior Technical Product Marketing Manager with a long and broad experience from IoT development, information and enterprise architecture to management consultancy. Passionate about data and its role in technology, innovation and monetization.