What is Augmented Analytics?
Augmented analytics is an approach to data analytics that employs the use of enabling technologies such as machine learning, artificial intelligence and natural language processing to automate analysis processes such as data preparation, data processing, insight generation and insight explanation; all of which are tasks normally completed by an analyst or data scientist. Simply put, it is used to increase the depth in which people explore and analyze data in business intelligence and analytics platforms through automating data storytelling. Unfortunately, for many companies, especially small businesses, there is a shortage in data scientists that has created a growing skills gap required to employ data stories and use them in their decision making processes. Read on to learn how augmented analytics can bridge this knowledge gap and finally allow anyone within an organization to gain value from data insights.
What is Creative AI?
Recent Improvements in machine learning techniques, such as deep learning and neural networks, have enabled AI to generate imagery, video, text and audio content. Creative AI is when artificial intelligence uses past data to learn from an experience, allowing it to fine tune itself and generate new solutions and recommendations through audio and visual techniques. It ultimately helps in personalizing the output of data insights in a medium that makes the most sense for the end user, overall creating more value in the mass amounts of data businesses collect.
How do they work together?
Companies of all sizes and industries can use augmented analytics, combined with the power of Creative AI, to transform their organization at all roles to gain a deeper understanding of its data and analytics. According to recent research by Gartner, augmented analytics is a disruptive trend that will be a key component in the future of data, and that data and analytics leaders should plan for new Machine-Learning/Artificial-Intelligence based data storytelling capabilities that will automate tasks and drastically transform how analytics as a whole is done. In fact, according to another article, by 2025, 75% of data stories will be generated using augmented analytics and creative AI techniques.