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Even though artificial intelligence is considered a technology at its nascent stage, it has brought a multitude of benefits to businesses in many ways. Today, as organizations are leveraging both big data and machine learning to streamline IT operations, artificial intelligence for IT operations (AIOps) is emerging as a one-stop solution. With AI, enterprises can utilize the wealth of its data and obtain actionable insights to manage the humongous streams of machine-generated big data. While most IT organizations would agree that managing and accessing unstructured data provides great benefits, they would also say that extracting useful insights often becomes a daunting task for them. This is where Splunk comes in. The firm leverages artificial intelligence to make sense of data and assists its clients to streamline the business process.
A Guide to Operational Intelligence
Splunk was launched in 2004, with a vision to make machine data accessible, usable, and valuable to everyone, and help them garner useful insights out of it. Today, machine data has witnessed a profound growth in the IT operations. It holds a prominent value as it contains a definitive record of all customer behavior, sensor activity, user transactions, fraudulent activity, machine behavior, security threats, and much more. Though machine data brings forth a gamut of benefits, gaining valuable insights from the data often becomes a significant challenge for enterprises. To address this problem, the firm brings forth its platform—Splunk Enterprise for the clients. The platform assists organizations to monitor and deliver operational intelligence to upscale IT, security, and business performance. It delivers end-to-end visibility and insights for several IT operations and empowers enterprises to address the challenges and opportunities of managing massive streams of machine-generated big data.
Splunk has witnessed a profound growth through continually making machine data accessible, usable, and making it valuable for all its clients
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