Last Updated on May 30, 2022 by Aaron Thompson
Gaining valuable insights from data is one of the top reasons people turn to AI today. However, most businesses don’t realize that their data might be sitting right under their noses and are going untapped data.
By utilizing unsupervised and semi-supervised learning techniques, AI can help you gain valuable insights from any kind of data you have, including old systems and even paper reports. So let’s take a look at how this technology can benefit your business by turning your unused data into new opportunities for growth and profitability.
What is Artificial Intelligence (AI)?
Artificial intelligence is a term thrown around so often that it can be difficult to separate hype from reality. According to Egnyte, artificial intelligence is any technology that enables computers or machines to perform tasks usually requiring human-level intelligence, such as visual perception, speech recognition, decision-making and translation between languages.
So, what is Unstructured Data Analytics? Businesses, regardless of size, have a massive wealth of data at their disposal that is just waiting to be analyzed and put to use. With artificial intelligence (AI), more and more companies are finding unique ways to employ advanced analytics techniques with unstructured data to gain valuable insights about everything from customers, competitors and products and services.
Becoming a Data-Centric Organization
In a digitally-driven world, organizations have a variety of data sources—structured, unstructured and semi-structured. To develop new offerings for customers and expand into new markets, organizations are looking to tap into their data assets. However, tapping into all that data will require businesses to become data-centric—using analytics as a platform to build new products and services with insights from multiple data sources.
How to Improve Uptime and Availability for Service Instances
Artificial intelligence (AI) can be a valuable tool for analyzing performance data to improve system uptime and availability. If you are using AI software, such as IBM® InfoSphere® OptimTM PureDataTM Machine Learning Platform, you can use machine learning techniques to spot bottlenecks in your application or IT infrastructure. In addition, the software can find trends across large volumes of data that may not be immediately obvious.
Tackling Infrastructure Inefficiencies with AI
In addition to optimizing day-to-day operations, analytics tools can help identify and tackle inefficiencies across your infrastructure. In an ideal world, you want every part of your system up and running at full speed at all times. You will encounter certain equipment failures, and software outages or system malfunctions are also bound to happen.
Monitoring Inventory and Supply Chains
The implications of unplanned outages or peak demand on a supply chain can be significant. For example, a sudden spike in purchases—in response to an Amazon Lightning Deal promotion—can strain a supply chain’s ability to produce and deliver inventory. That’s where AI can help.
AI is changing how businesses access and analyze data. Find out how to use AI to gain valuable insights from untapped data. Learn about the best ways to employ artificial intelligence in your business strategy today