How Digital Experience Monitoring (DEM) Can Help

 

In today's digital age, businesses need to continuously evolve and adapt to stay ahead of the competition. One area where this is particularly true is in the realm of application performance management (APM). While APM has been an essential tool for monitoring and optimizing application performance, it's no longer enough to ensure a seamless digital experience for customers. This is where Digital Experience Monitoring (DEM) and AIOps solutions come into play.

AIOps solutions, powered by artificial intelligence and machine learning algorithms, provide a more comprehensive approach to APM. With AIOps, businesses can monitor all aspects of their applications and infrastructure in real-time, including logs, metrics, and traces. This allows them to identify and resolve issues before they impact end-users, improving the overall digital experience.

Moreover, AIOps solutions like DEM offer additional features like user journey mapping and real user monitoring, which provide deeper insights into how customers interact with digital touchpoints. This data helps businesses identify areas of friction in the customer journey, optimize their digital channels, and deliver a seamless user experience.

Comparing DEM and APM

AIOps solutions are becoming increasingly important in the world of DevOps. They enable organizations to automate their processes and gain more insight into their operations. Comparing DEM (Digital Experience Monitoring) and APM (Application Performance Management) is essential to understanding which AIOps solution is best suited for your organization's needs.

DEM focuses on the customer experience, while APM focuses on performance metrics. Both solutions offer real-time insights into operations, but they have different use cases. DEM helps identify areas where customers might be having difficulty using an application or website, while APM can be used to pinpoint issues with applications and services that are causing performance issues. By comparing the two solutions, organizations can determine which one will provide them with the most comprehensive view of their operations.

How DEM augments APM?

Digital Experience Monitoring (DEM) is a key component of AIOps solutions, and when combined with Application Performance Management (APM), it can provide organizations with an unprecedented level of visibility into their digital infrastructure. DEM helps to track user experience across all devices, while APM provides insight into the performance of applications and services. When combined, these two solutions create a powerful tool that can help organizations identify problems before they become serious issues. By leveraging the insights from DEM and APM, organizations can improve user experience and ensure that their applications are running at optimal performance levels.

APM alone cannot help IT teams to boost service reliability. The same IT teams switch to DEM tools to find the reason for slowness. Performance testing with DEM tools reveals the slowdown can be attributed to excessive graphic elements within the application. For best performance, IT teams must prioritize technical optimization. That may mean reducing graphics on applications to improve customer experience. This showcases the power of DEM and APM as valuable tools for restoring service reliability.

APM tools are effective for quickly pinpointing issues, but DEM tools provide a more comprehensive view of the end-user experience. DEM and APM tools help organizations identify and resolve digital experience issues, leading to improved service reliability.

Conclusion:

As businesses continue to digitize and transform, they need to adopt more advanced solutions like AIOps to ensure optimal application performance and deliver exceptional digital experiences. AIOps solutions like DEM provide the necessary insights and capabilities to achieve this goal, helping businesses stay competitive in the ever-evolving digital landscape.

 

The Future of Healthcare: How AIOps Can Unlock the Full Potential of Healthcare Data

 

The healthcare sector is one of the most rapidly evolving fields, and AIOps in healthcare is playing a major role in revolutionizing patient care. AI and related technologies have the power to revolutionize the healthcare sector, impacting patient care and administrative processes within provider organizations, payers & pharmaceutical companies.

Studies and research have already shown that AI can be just as effective or even more capable than human clinicians when it comes to primary healthcare duties, such as diagnosing diseases. Right now, algorithms outperform human radiologists in detecting cancerous tumors and providing vital assistance to researchers when constructing cohorts for high-cost medical testing.

Why is the Majority of Medical Data Highly Unstructured?

The majority of medical data is highly unstructured and complex, making it difficult to process and analyze. This is due to the fact that medical data can come from a variety of sources such as patient records, lab results, medical images, and more. As a result, healthcare organizations are turning to AIOps solutions in order to make sense of this vast amount of data. AIOps solutions use artificial intelligence (AI) and machine learning (ML) to identify patterns in the data and provide insights that can be used by healthcare professionals. By leveraging AIOps in healthcare, organizations can gain access to valuable insights that would otherwise remain hidden within their unstructured data.

What is the Role of AIOps in Healthcare Structuring Data?

As per the 4th annual Optum Survey on AIOps in the healthcare sector, leading experts think AI can benefit patients by improving outcomes, curbing costs, and encouraging health equity. AI is revolutionizing healthcare by speeding up data exchange between payers, providers, and patients, leading to more efficient and accurate results.

Medical companies need to better manage unstructured data for AI to reach its full potential, allowing AIOps systems to improve training accuracy, reliability, and effectiveness. It is seen as a profitable tool in healthcare, with 80% of clinicians believing it can do more than just administrative tasks. It has the potential to increase data quality and patient reach, leading to higher profits. AIOps in healthcare can help reduce the time spent on manual data entry tasks, improve the accuracy of data analysis, and provide actionable insights to improve patient outcomes.

Why Timely, Accurate Information is Required in Healthcare Delivery, Management

The medical industry is facing a data issue that hinders personalized patient care. Unstructured data is not helping to create an accurate, comprehensive picture of people's health. With incomplete knowledge, decision-making can easily prove insignificant, thereby resulting in poor outcomes and high expenses.

AI is the key solution to having fast access to reliable data, which improves patient outcomes and helps physicians make accurate decisions. A research study involving respondents suggested that 96% of them believed easier access to primary data will help save lives. 95% of respondents highlighted data interoperability as essential to improving patient outcomes, with 86% believing efficient healthcare info exchange will lead to lower costs, quicker diagnosis, and accurate results.

Poor investment in AIOps solutions prevents organizations from taking advantage of AIOps in healthcare in the long run. Machine learning can reduce the time for patient care by accelerating clinical decision-making through NLP, which allows for unstructured data to be structured quickly and securely. Technology is enabling healthcare professionals and care managers to achieve their goals.