Efficiency is essential to staying competitive in today’s increasingly digital world. By improving infrastructure and processes, organizations can accelerate performance, cut costs and ease management of overall operations. To help achieve those goals, artificial intelligence (AI) is quickly becoming a cornerstone of efficiency. With artificial intelligence operations (AIOps), organizations are able to collect, analyze and act on real-time data faster. By giving management at all levels more timely access to critical data about business operations, businesses can see more of their options, make better decisions and further improve efficiency to drive higher customer satisfaction and profitability.
AIOps is built on AI and machine learning (ML) to evaluate processes, identify inefficiencies and to automate remediation, all with little to no human intervention. Through automation, management of day-to-day operations can be significantly simplified. For long-term efficiency, algorithms can be trained to detect and anticipate performance issues before they negatively impact operations. In this way, AIOps frees up decision makers to focus on larger business issues, as well as provides them with clear visual information to help discern the best course of action.
Efficiency Challenges
There are several factors that can reduce organizational efficiency:
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- Infrastructure – Many IT environments have disparate systems in different silos, making it difficult to accelerate the flow of data between systems.
- Increase in data – The amount of data organizations generate continues to increase at a tremendous rate. According to IDC, data creation and replication will grow at 23% CAGR from 2020-2025 — faster than installed storage capacity.
- Real-time nature of data – The window of opportunity continues to shrink in our digital world. To achieve the next level of efficiency, AIOps need to be able to analyze and act faster than ever before.
- Security – Cyberattacks are more sophisticated every year. The risks of a breach are greater as well, from interrupted operations to stiff financial penalties for failing to adhere to industry regulations such as General Data Protection Regulation (GDPR).
Because AI can dynamically adapt and scale to match an organization’s changing needs, it is the perfect technology for addressing efficiency challenges. Because of its flexibility, AIOps is able to deliver greater efficiency across all industries and often leads to the innovation of entirely new processes. For example, on the front end, healthcare organizations can optimize secure access to clinical data to improve the level of care provided and reduce patient wait times. On the back end, AIOps can facilitate insurance processes, protect patient information and minimize fraud. Similarly, financial institutions can use algorithms to identify suspicious behavior and increase the efficiency of fraud prevention. AI is also being used to manage smart buildings and smart factories to track operations and maximize efficiency across the entire facility.
Harnessing AI
Organizations can experience greater efficiency by making AIOps an integral part of their operations. For example, the Splunk data analytics platform powers AIOps by gathering real-time data, mining it for insights and then delivering these insights to decision makers. The process is further simplified through predefined workflows, dashboards and automatic reports that adapt to specific environments and applications. Visualization and reporting of data help managers discern their options and foresee potential outcomes. This leads to not only better decisions but faster results.
Dell Technologies has partnered with Splunk and Intel to create an integrated solution for running AIOps on the world’s fastest infrastructure. With guidance from Conducive Splunk Professional Services, organization can leverage the ideal platform for their requirements using deployments proven across a wide range of industries.
To learn more on how to maximize your organization’s real-time efficiency through the AIOPs Power Digital Transformation, check out this white paper published by IDG.
