In this blog post
Learn How AIOps Can Transform the Public Sector
Public services are critical to the smooth operation of any state or country. It is simpler for a country to advance economically if its public services sector is well-managed. While traditional software systems are still utilised to manage the public sector, new-age technologies are gaining traction. To obtain better results, AI data analytics monitoring tools, for example, are in high demand.
AIOps (Artificial Intelligence for IT Operations) is also gaining traction as a way for businesses to automate their processes. Software systems and digital infrastructure are used not only by IT companies, but also by public services such as healthcare, education, transportation, law enforcement, and the military. AIOps-based analytics platforms can help improve a variety of government functions. Continue reading to learn more about AIOPs and their role in reforming the public sector.
AIOps for healthcare
In any country, healthcare is one of the most important public sector services. Gone are the days when patients’ health could only be improved by visiting a physical hospital. With rising patient expectations, healthcare facilities must embrace technology on a large scale. A healthcare facility undergoing digital transformation might benefit from an AIOps-based analytics platform. The following are some examples of how AIOps is changing the healthcare industry:
- The software systems used for the treatment of patients need to perform continuously. The performance of software systems is crucial as they can be responsible for the life and death of patients. A healthcare facility cannot bear the sudden shutdown of crucial software systems. An AIOps based analytics platform can predict the exhaustive capacity of your software systems. When you know about future shutdowns, you can take proactive measures to avoid them. It will also boost the service availability and reliability of your healthcare facility.
- Healthcare facilities have started providing medical advisories via online channels. The recent COVID pandemic also led to the rise of telemedicine and online consultancy. There is a central monitoring system that is used to monitor all the digital systems that are used to connect to the patient. If the central monitoring system cannot report system incidents in time, you can lose your connectivity with the patient. AI for application monitoring can aid in knowing all the incidents that occur within the IT infrastructure of a healthcare facility. You can mitigate the incidents in time to ensure higher service availability.
- AIOps-based tools provide end-to-end service assurance for your healthcare facility. You can enhance observability across service layers to identify threats easily. With advanced anomaly detection, an AIOps based analytics platform can aid in the high uptime of software systems.
- A healthcare facility must safeguard the data of the patients for confidentiality and further studies. An AIOps based analytics platform can help in implementing strong cybersecurity measures. With intelligent threat detection offered by AI platforms, you can avoid many future cybersecurity threats.
Financial services and AIOps
Banking and financial services are major public sector services that are using AIOps. The 21st century saw the rise of technology in providing financial services to customers. Fintech services are already making waves in the market. Financial firms must ensure high security of sensitive customer data like account numbers, e-signature, transaction details, and identity details. AI data analytics monitoring tools can aid financial institutions in safeguarding sensitive data. An AI-led data analytics tool ensures round-the-clock monitoring of IT assets and identifying cyber threats in real-time.
User experience matters the most when it comes to fintech services. With deep insights offered by AIOps, you can increase the observability of the user experience. If any incident occurs within your digital infrastructure, an AI-led root cause analysis tool will detect it in real-time. Banks and fintech firms are relying on AI-led analytics platforms for creating an observability pattern for a multi-cloud environment. With AIOps, your IT teams don’t have to deal with high volumes of system alerts. The alert noise generated by your monitoring platforms can be filtered and prioritized with the help of AI.
Retail marketing and AIOps
AI data analytics monitoring tools can collect log data from all retail channels. Many retailers have adopted AIOps for analyzing customer data. With deep insights, they provide better loyalty programs and referrals to customers. An AIOps based analytics platform can help in collecting data from different points of sales, and self-checkout systems. AIOps has helped retailers to provide a personalized experience to their clients/customers. AIOps-based automation tools for service desks can help retailers reduce the need for human labor.
AIOps for logistics
Logistics companies must monitor a vast network of supply and delivery. With AIOps, they can quickly identify networking errors and work on them. Due to networking errors and application incidents, wrong or delayed delivery can occur. Firms try to spend as little as they can on reverse logistics processes. With an AIOps based analytics platform, you can enhance the speed and accuracy of deliveries to the end-user. A better overall customer experience will boost the brand loyalty of your logistics firm.
Understanding how AIOps can revolutionise my business in 2022?
In the COVID pandemic, businesses have adopted a remote work culture. Since employees are working remotely, real-time monitoring is not possible. You can adopt AIOps that can replace manual system monitoring. Even if an incident occurs, an AIOps based analytics platform can take automated steps to stop it. AIOps can ensure better communication within the software systems.
Businesses also spend on adopting better storage solutions based on customer demand. You can allocate storage capacity based on the demand of your customers with an AIOps based analytics platform. It is not necessary to adopt AIOps on a large scale for your organization. You can start by implementing AIOps for small IT operations first.
Conclusion
AI for application monitoring is employed in the education, transit, and tourism industries, among others. The AIOps market is already valued more than USD 20 billion globally. The trend in public services is digital transformation, and AIOps is the key.
