Artificial Intelligence (AI) is something that has tremendous potential and is frequently used already in applications of healthcare, retail, finance, and information technology as companies seek to create efficiencies in business processes.

Why is AI Important?

AI is important because it can be used to automate high-volume computerized tasks. Through repetitive learning and data, algorithms can achieve high reliability when processing data. On a large scale, AI can process high quantities of data increasing efficiency and reducing the cost to obtain insights from data. AI systems also grow more reliable as it processes more data, which can help to identify insights that may have been impossible to obtain manually.

AI in IT

The complexity and sophistication of IT systems has increased, which requires new ways to enhance efficiency when managing these systems. AI is one solution that can overcome the limitations of traditional management tools. According to IBM, AI has three primary benefits:

• Continuous Learning: AI algorithms continuously learn based on data inputs. This can improve the AI’s “knowledge” of threats and risks based on billions of data points.
• Quicker Response: AI can process data efficiently, allowing systems to identify relationships between risks much more quickly than traditional methods of monitoring data.
• Time Savings: AI can reduce the number of manual data-driven processes to allow IT professionals to make decisions more quickly and accurately respond to IT risks.

These systems can be used to monitor hardware and predict failure, forecast spending, and enhance information security, among many other improvements to IT operations. Let’s dive into each one in more detail.

AI in IT Operations

Leveraging AI to monitor IT hardware and platforms has become incredibly powerful in providing more meaningful information in both day-to-day operations and providing insights into imminent issues or failures.

IT Operations teams often get buried in system alerts that may or may not real issues or just white noise. Introducing AI into IT operations can help alleviate those alerts by trending what is normal versus anomalous behavior.  Based on the trending, AI can dynamically adjust alert thresholds for real issues. Additionally, with AI’s trending, AI can predict potential failures and issues with hardware and systems.  With AI’s assistance, IT Teams can become more responsive and efficient in troubleshooting issues and be proactive in addressing future failures and issues.

Cost Forecasting

Other IT algorithms can be used to forecast IT spending to create a plan for cost and expansion. AI algorithms can be trained to identify usage patterns that can help companies plan for increasing IT usage and budget accordingly. AI algorithms are also able to analyze this data more quickly and accurately and without human bias that could impact spending decisions.

Improving Security

As companies face rising digital threats, the need to monitor and respond to these threats appropriately continues to grow. AI algorithms can analyze massive data sets which can help to identify potential threats so IT departments can respond in real-time. Manually, it is difficult for IT staff to keep up with changing trends among bad actors, but AI can adapt quickly. Because of this, companies can benefit from a stronger security posture and enhance their data protection strategies.

AI has many important use cases in the IT world. If you’re looking to understand how you can leverage AI technologies to efficiently manage your IT operations and infrastructure, Independent Connections can help. Contact our experienced IT professionals to learn more about how we can help you overcome your IT challenges.