SolarWinds Head Geek, by Sascha Giese
In today’s landscape, artificial intelligence (AI) and machine learning (ML) have become key competitive advantages. These technologies are becoming the standard for managing data, streamlining and enhancing processes, and strategically positioning businesses within their respective industries.
According to a recent Gartner report, one-third of technology and service provider organizations with AI technology plans say they will invest more than $1 million in these technologies over the next two years. However, the costs associated with AI and ML, as well as the skill sets and resources required to manage this technology, are often barriers to implementation.
the power of automation
Buying or subscribing to AI or ML services and integrating them into your entire workflow can be a huge investment for your company. However, the advantages can greatly outweigh the disadvantages.
For example, ML and AI will power automation on an unprecedented scale. This frees up companies’ limited resources for tasks such as research and development, enabling significant advances in business strategy and execution at the human level.
The explosion of data available to enterprises has created a practical limit to the data that human employees can rationally analyze and sustainably manage. Moving to AI/ML services empowers employees to analyze data at scale, while providing cost advantages to management capabilities.
Strengthening security with AI/ML
Similarly, as organizations continue to look for ways to address the growing security needs of their IT ecosystem, the adoption of AI/ML can help companies build the outer moat.
The rapid digital transformation accelerated by the pandemic has resulted in a surge of high-level cybersecurity breaches across all industries. In fact, the 2021 SolarWinds IT Trends Report found that 49% of IT professional respondents perceive a growing awareness of the exposure of senior leaders and decision makers in their organizations to risk, and the impact of risk factors on It turns out that people think of receiving ‘when’ rather than ‘if’. .
Implementing AI/ML enables security operations centers to analyze data at deeper levels of complexity and across higher levels of performance indicators. Beyond automating low-level tasks and routines, AI and ML capabilities are enabling teams to develop more sophisticated alerting systems, helping to make identified violations and vulnerabilities visible across departments. increase. When it comes to reducing risk within the enterprise, AI and ML are important tools that IT professionals can leverage to strengthen their organization’s security posture.
In today’s climate, the amount of data available to businesses continues to grow, and the need for business security continues to grow. These environmental conditions make AI and ML services essential for routine analysis and management, and essential for vulnerability detection. Incorporating these core capabilities into your business is becoming more and more important every day. It not only enhances the creativity and skills of your IT workforce, but also helps future-proof your business.
