I’m sure everyone has heard the story of the blind men and the elephant. Depending on where they touch, blind people’s descriptions of an elephant can be completely opposite. For business operations, the IT and business teams are like the blind men in the story who cannot see the elephant’s full form. The IT team conducts root cause analysis (RCA) by analyzing logs and infrastructure metrics, focusing on application performance management (APM) and code profiling to ensure the stable operation of the system, while the business unit focuses on market performance and customer engagement, focusing on key performance indicators (KPIs). Just like a blind man touching an elephant, although a clear division of labor is conducive to the implementation of tasks, the cooperation between various departments will also be affected, and it is easy to fall into the situation of "you say yours, I say mine.
Therefore, CIO and IT department leaders need to have a global perspective, in-depth understanding and integration of all parts of the enterprise, in order to develop a more effective strategy, accelerate the realization of business results.

▍ AI-enabled operational observability
The emergence of business observability is like everyone opening their eyes and seeing the whole elephant. It can not only comprehensively monitor the operation of the system, but also enable enterprises to understand the overall status of business operations in real time.

Combined with data integration analysis and artificial intelligence technology, business observability will play an unlimited capacity.

Business observability can comprehensively collect data at all levels of the organization, structure the data, display a powerful data analysis platform, ensure real-time data access, form a unified view, let the team talk under the same data system, and ensure rapid response when problems occur.

Artificial intelligence is a bridge between business indicators and IT data. It can help IT teams handle huge amounts of data and help business teams better understand IT data.

Integrating AI engines, including large-scale language models (LLM), into business observability can quickly detect current business operating patterns, predict possible trends, and provide real-time targeted solutions to help managers make informed decisions quickly.

AlOps combines big data with ML to automate IT operations processes, leveraging big data, modern ML, and other advanced analytics to directly and indirectly enhance IT operations (monitoring, automation, service desk, etc.) from a dynamic and independent perspective through event correlation, anomaly detection, and causality determination.

AlOps enables observability so that companies can minimize the gap between technical performance and business results and thrive in an increasingly volatile market.

▍ Three key value-enhancing business outcomes
1. Improve customer experience 
Comprehensive insight into the company's operations, customer interactions and market trends is the key to effectively meeting customer needs. Through this proactive strategy, companies can not only improve customer satisfaction and loyalty, but also enhance customer value in the long-term development and grow together with customers.
2. Improve operational resilience
Comprehensive observability can help companies respond quickly to market changes, anticipate potential system failures, and manage resources efficiently, building a resilient operational framework for companies to withstand and adapt to business disruptions.
3. Improve forecasting capabilities
By collecting and analyzing the performance data of equipment and systems, predicting potential failures, helping IT departments to carry out maintenance in advance, minimizing business interruption, ensuring business continuity, and ensuring the rapid development of business on a stable basis.
▍ Sai Xun and you, hand in hand
In today's complex and ever-changing business environment, adopting business observability is no longer just a icing on the cake, but a task that must be done as soon as possible. It not only helps enterprises to understand themselves, but also the cornerstone of data-driven decision-making in the rapidly changing business world.

Through business observability, companies can simplify internal processes, improve customer experience, enhance operational flexibility, and effectively predict risk changes.
We should not only see the "elephant" of the enterprise in its entirety, but also adopt unified data access and artificial intelligence-driven insight to make this "elephant" move in the ideal direction and overcome the challenges of modern business.
The [Business Observability Platform] takes the business as the starting point, collects and correlates full-stack data such as performance indicators, user behavior and security events, and transforms them into valuable business insights to help enterprises find and solve problems in time, predict future trends and make more informed decisions.