Sep 2, 2021

Augmented Analytics and Creative AI are Closing The Data Knowledge Gap

Business | Tech

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. This approach automates analysis processes such as data preparation, processing, insight generation and explanation. These are all tasks that would normally be completed by an analyst or data scientist. In simple, it increases the depth that people explore and analyze data in business intelligence and analytics platforms through automating data storytelling. Unfortunately, for companies, especially small businesses, there is a shortage in data scientists. In return, this has created a growing skills gap required to employ data stories and use them in decision making processes. Read on to learn how augmented analytics can bridge this knowledge gap and allow organizations to gain value from data insights. 

“By 2025, 75% of data stories will be generated using augmented analytics and creative AI techniques.”

What is Creative AI? 

Recent Improvements in machine learning techniques, such as deep learning and neural networks, allow AI to generate imagery, video, text and audio content. Creative AI is when artificial intelligence uses past data to learn from an experience. Creative AI then fine tunes itself and generate new solutions and recommendations through audio and visual techniques. It helps personalize the output of data insights in a medium that makes the most sense for the end user. In return, it creates 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. This tactic will 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. Analytic leaders should plan for new Machine-Learning/Artificial-Intelligence based data storytelling capabilities. As a result, these 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.  

To learn more about how your organization can employ augmented analytics to automate tasks and improve decision-making process, contact [email protected]or request a demo.

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