Yesterday, at Microsoft Build, the tech giant launched real-time intelligence in its AI-powered analytics platform, Microsoft Fabric. The new feature offers a comprehensive SaaS solution, enabling customers to quickly analyse and act on large-scale, time-sensitive data for improved business decision-making.
It integrates synapse real-time analytics and data activator.
Traditionally, constructing real-time solutions has been complex and resource intensive. However, according to Microsoft CEO Satya Nadella, this new feature claims to simplify this process by offering a “unified platform" that leverages Microsoft's Azure streaming and big data technologies. This ensures scalability, reliability, and ease of use, catering to users of all skill levels.
Real-Time Intelligence, now in preview, capitalises on the power of AI, enabling users to pose complex queries and receive alerts on anomalies. This functionality is helpful across industries, improving processes such as quality control in manufacturing, logistics optimisation, sales strategies in retail, and fraud detection in finance and insurance.
A key component of real-time intelligence is the Real-Time Hub, a centralised repository for managing streaming data sources. With various connectors, users can effortlessly connect to various data streams and take action while data is in motion, transforming Microsoft Fabric into an event-driven platform, facilitating workflow orchestration based on system events.
Customer Success Stories
Microsoft has over 11,000 customers using Microsoft Fabric. For example, Dener Motorsport, which has significantly reduced response times in analysing vehicle data, leading to enhanced performance and cost savings using the real-time intelligence feature.
Similarly, companies like Elcome and Grasim Industries Limited have benefited from accelerated defect identification and improved operational efficiency. SeAir Exim Solutions and Petrobras have also leveraged real-time insights to optimise operations, enhance cybersecurity, and drive innovation.
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