By Splunk April 24, 2018
Artificial intelligence (AI) is all around us. It’s how Google Maps knows you want to go home at the end of the day, how Netflix recommends the next movie you should watch and how autonomous vehicles are operated.
In its simplest form, AI can be defined as machines executing tasks in a near-human manner through the use of smart algorithms. It’s the computational ability to learn and take action without explicitly being programmed to do so. This is possible through the application of machine learning (ML), predictive modeling that is applied to large datasets.
AI and machine learning are coming into their own at a critical time. More and more data is being generated every second, leaving humans mired in complexity. But machine learning and AI thrive in this environment. The more information machines and smart algorithms can process, the more they learn and adapt. Data fuels machine intelligence. They need it to deliver on the promise of machine learning: predicting future outcomes, detecting anomalies and clustering important events while filtering out noise.
It’s clear that organizations must leverage machine learning-powered AI to keep up with their data and answer the questions that will elevate them above the competition. How can you get started?
Splunk's new e-book "AI and Machine Learning In Your Organization" covers how to get the most value from your data through leveraging AI and applying it to solve your problems. You will learn:
- How to leverage what's already in your environment for AI and ML
- The role of AI and ML in IT and security
- What's next with AI and ML
So what are you waiting for? Download the e-book now.