With 90% of the world’s data created in the last two years, the cloud risks becoming a dumping ground. Here is how AI and ML can help clean it up.
Businesses and prosumers create colossal amounts of data every single day. According to a study by Domo, 2.5 quintillion bytes of data are generated daily, with no signs of slowing down. Many users have begun to rely on cloud solutions for their file storage and/or data backup, but the cloud isn’t perfect.
Cloud technology has had a relatively short life in the world of business. In fact, 90 percent of the data in the world was generated within the last two years. As a result, users have dumped massive amounts of data into cloud applications without proper organization or strategy.
The flood of files transferred into the Cloud daily makes it nearly impossible to manage manually, but with Artificial Intelligence (AI) and Machine Learning (ML), the Cloud is elevated. Cloud users are able to gather, analyze, organize and protect their data better than ever. Take a look at these applications that combine AI and ML with cloud computing.
Many cloud applications have weak search capabilities. Human error and the sheer amount of searchable data result in misplaced files across multiple cloud platforms. It’s easy to forget a filename, or where a file is stored, and PDF documents don’t always show up in a keyword search if there is no keyword in the filename.
AI is now smart enough to know more information about your files than you do.
Machine learning algorithms from Google and IBM can inspect images to determine key attributes, including image location and context. For example, you may have pictures of your golfing trip to Florida, but you didn’t take the time to name or manually tag them. AI scans and pulls up all images that include similar characteristics such as golf courses, clubs, golf balls, golf carts, etc. It then can then tag those images with all of the relevant words and the location where the picture was taken for easy searching.
This technology also applies to PDF documents, allowing users to find specific words in documents that otherwise wouldn’t be detected or indexed in a regular search engine. For example, OCR allows a scanned receipt from Mountain View Golf Course to be included in a search for the word “golf,” as that word shows up in the PDF document.
These technologies can also consolidate cloud account silos.
