Today, businesses are inundated with data from IT systems, applications and digital platforms. The situation is worsening with the post-pandemic shift to working from home and the rise of artificial intelligence, with global data volumes expected to grow from 2 ZB in 2010 to 394 ZB in 2028.
Managing such massive amounts of data is a challenge for IT teams, and current data management practices cannot cope with the rapid growth in volume and complexity. Without a digital lifeline, you risk information overload, which can lead to poor data analysis, slow decision-making, and hinder business growth.
AIOps helps businesses manage large amounts of data by identifying the most critical issues in real time, allowing IT teams to resolve issues faster and allocate resources where they are needed most. Ultimately, this technology turns redundant data into a significant competitive advantage.
Why are traditional methods not enough?
Enterprises struggling to meet the complex demands of today’s IT environments may continue to rely on legacy software, disparate data sources, and rigid monitoring tools. The problem is that these traditional methods often require manual input, which is time-consuming and error-prone.
Additionally, by design, they cannot provide a complete picture of the IT ecosystem. Lack of transparency makes it difficult to detect patterns and predict potential problems in a world where data is everywhere. There is still a heavy reliance on IT teams with limited resources to find, protect and use large amounts of information.
Upgrading or replacing existing solutions requires a significant investment of time and money. However, continuing to use ineffective and outdated systems can create “technical debt,” or the financial burden of constantly updating all aspects of a digital asset to meet new project needs.
Inevitably, neglecting digital transformation means you will continue to incur costly recurring business expenses. As a result, businesses need more proactive solutions.
Get clarity with AIOps
AIOps can transform enterprise IT infrastructure management through the use of machine learning and advanced analytics.
By enabling data monitoring on these platforms, organizations can easily eliminate the technological clutter hidden within increasingly complex digital assets.
AIOps is not just a matter of responding. I had the same hope. By analyzing real-time and historical data, you can discover patterns that indicate future outages and give your team the opportunity to take action before issues impact users.
By automating repetitive tasks, IT professionals can optimize operations and budgets while focusing on strategic initiatives. Platforms that provide AIOps visibility also provide a single window into the IT ecosystem, reducing blind spots and generating valuable insights that protect overall application performance.
AIOps enables organizations to eliminate clutter by providing end-to-end visibility into digital operations and allowing them to focus on the information that really matters.
The role of the data warehouse is growing
To integrate technology and help businesses gain full control over their IT systems, information must be easily accessible. That’s why data storage is another important part of the AIOps equation.
Imagine your organization’s IT infrastructure looks like an office building. Just as each office stores its own records, each department in this virtual building has its own set of unique data. If your IT team were asked to extract all this information, they would have to search through all the repositories to find it.
Having a data warehouse is like putting all your disparate data sets into one virtual warehouse where you can instantly access, analyze, and track your organization’s information. These digital assets can determine the success or failure of an AI strategy.
However, the inability to create a large enough repository is often a major obstacle for many companies, especially as data sets become larger than ever. With a pre-built infrastructure, you don’t have to worry about finding additional features for your IT team. Instead, you can leverage an integrated, scalable, secure, and easily accessible data ecosystem.
Why is a successful AIOps strategy important?
In today’s digital economy, data is more than just a byproduct of operations. Rather, it is a strategic asset that helps a company outperform its competitors by identifying trends more quickly, providing a better customer experience, and innovating at a higher level than others.
AIOps can transform organizations into agile, data-driven enterprises by automating data flow processing and the integration of disparate systems. In fact, decision makers across industries believe in the potential of AI: a recent study found that 91% of companies believe AI provides a competitive advantage.
Take customer service as an example. Commercial organizations (retail stores, banks, airlines, etc.) that integrate AIOps can quickly eliminate data bottlenecks that often cause website downtime and transaction delays. When a brand builds a strong digital presence in its industry, customer retention and financial returns increase.
Survive and thrive in the information age
As data entering IT environments continues to flow at an exponential rate, determining what actions to take remains a challenge for businesses. AIOps can save lives by proactively solving problems, optimizing resources, and prioritizing the implementation of solutions such as integrated monitoring and data warehousing.
Indeed, in an era where information is power, organizations that harness the transformative power of AIOps will not only survive, but thrive. These digital platforms enable new levels of security, efficiency and innovation, shifting the strategic focus from pure optimization to growth. Turn the stress of data overload into a competitive advantage.
