Today, machine learning is becoming incredibly important for businesses hoping to remain competitive. From shipping and logistics to the medical industry, machine learning is being used to improve upon products and processes. Here’s what you need to know about integrating machine learning into your organization’s infrastructure.
When most people think of ML, they imagine a team of data scientists, high overhead costs for computer hardware and timelines that stretch into quarters or a year before seeing results. But today the market is filled with automation tools and cloud-based computing power. ML, AI, and Big Data are available more than ever. It is now easier for medium to large-size businesses to start using and applying these advancements in business intelligence technology to grow and improve their business.
Using cloud solutions opens your workforce to using virtually any Internet-connected device to access and process data. That means everyone gets to use the computing tool with which they feel most comfortable whether it’s the office’s iPads or a Windows computer. Another benefit is your office can purchase exactly the number of licenses it requires, then add to it as it hires office staff.
Financial industries and the global economy have experienced an array of ups and downs in the past decade. With some countries losing stability and others building themselves back up, it can quickly become unsettling guessing where the market may be at any given time.