Increasing Real-Time Efficiency Through AIOps

Artificial intelligence is quickly becoming a cornerstone of efficiency. With artificial intelligence operations (AIOps), organizations can collect, analyze and act on real-time data faster. By giving leadership at all levels more timely access to critical data about business operations, businesses can see more of their options, make and automate 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 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.

Using AIOps to Pinpoint and Solve Inefficiencies

There are several factors that can reduce organizational efficiency:

• Infrastructure: Many IT environments have disparate systems in 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 an astonishing rate. 
• Real-Time nature of data: The window of opportunity continues to shrink in our digital world. To achieve the next level of efficiency, AIOps needs 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 can 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. While 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 down to individual devices.

Integrate AIOps for Faster Results

Organizations can experience greater efficiency by making AI an integral part of their operations. For example, Dell Technologies Validated Designs for Splunk power AIOps by gathering real-time data, mining it for insights, and then delivering these insights to management. The process is further simplified through predefined workflows, dashboards and automatic reports that adapt to specific environments and applications. Data visualization and reporting helps teams discern their options and foresee potential outcomes. This leads to not only better decisions, but also faster results.

Splunk AIOps technology running on the world’s fastest Dell-Intel infrastructure provides operations managers with clear, actionable insights and predictive maintenance. It’s the fastest, easiest way for operations managers to take control of application performance in the era of the hybrid cloud.

Learn how to maximize your organization’s real-time efficiency with AIOPs Powering Digital Transformation.

***

Intel® Technologies Move Analytics Forward

Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that’s optimized to work with the software you use.

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There’s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.