Technology is the heart of so many different industries throughout the world. You use data-driven analytics and technology in your digital marketing, with retail operations, throughout entertainment platforms, and with medical advances. Without the power of research, machine learning, and analytic platforms, you wouldn’t be able to track new information and improve different systems. Data engineers work diligently to continue improving business intelligence, so you can make these important predictions about what is needed in the future of your industry. Raw data is one thing, but you need those important insights to be able to achieve the goals and help people in the way you want.
It’s natural to collect data and then process information before making decisions. This is exactly how you process any thought or emotion throughout your life. This is also how companies develop new ideas and systems. Take the medical field, for example. Many individuals suffer from spinal cord injury, stroke, or acquired brain injuries every year. You can analyze that big data to understand the need for some sort of robot or suit to help assist these individuals in their rehabilitation. Data analytics can then answer the questions about what robotic exoskeletons are working and how artificial intelligence can assist in neurorehabilitation in the future. Here are just a few ways data analysis and deep learning are helping create assistive technology and revolutionize this area of medicine.
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Defining Data Science
Before we dive into the benefits of data science it helps to know what is data science used for? This is a visualization process that uses algorithms to understand complex problems and help you make informed business decisions. By gathering data sets, processing models, and monitoring results, you are using deep learning to make better products and better understand your consumers. This process allows for smarter functions within different disciplines. Business understanding is how you can make big moves and improve the lives of the people you are serving with your company or business.
Developments in Assistive Technology
Another area that depends on developments and working through the scientific method is assistive technology. For years, individuals with physical disabilities have worked with doctors and physical therapists to find new solutions to try to help their disability. Whether they are confined to a wheelchair or learning to rewalk after a stroke, many of these people cannot operate or walk on their own. This is where assistive technology can help. Ekso Bionics has worked hard to develop an exoskeleton suit for disabled individuals who need help with endurance or even basic movement of their limbs. This technology continues to advance and Ekso is a leader in the field of rehabilitation.
Analytics and Assistance
So what do business analytics and assistive technology have in common? For years, the business problem within assistive technology was not knowing the best solution to help patients with rehabilitation. This is where the idea for wearable robots and exoskeleton suits came into play. By using predictive analytics, scientists could begin developing prototypes that patients and physical therapists alike thought could work well for recovery. As these robot suits are developed, you can analyze the data and feedback you are getting on patient progress to find certain solutions for how the wearer can be more comfortable and increase their endurance.
In addition, analytics come into play while the wearer is working with the exoskeleton. Technological advances mean these suits are more advanced than ever. Not only are you helping with mobility assistance, but with tracking patient progress. You can utilize these algorithms to see what changes or advances you can use for each robot suit. Actionable insights are the name of the game and business analytics allow you to get these in a number of different ways.
