With Augmented Intelligence, people across industries are working with machines for the best of both worlds. Augmented Intelligence applications combine Human Intelligence and Machine Learning, especially when removing humans from the equation is impossible. 

The beauty of Augmented Intelligence is that it can speed up data processing and identify trends that humans might miss or ignore while involving human employees in the data analysis process.

Augmented Business intelligence (ABI) is a combination of Augmented Analytics and Business Intelligence. Augmented Analytics is the use of technologies such as Machine Learning and Artificial Intelligence to help prepare data, generate insights, and explain insights to expand how people explore and analyze data in analytics and Business Intelligence (BI) platforms. 

What is Business Intelligence (BI)?

Business Intelligence (BI) refers to the procedural and technical infrastructure that collects, stores, and analyzes data generated by a company. Augmented Analytics (AA) is the use of Machine Learning (ML) and Natural Language Processing (NLP) to improve data analysis, data sharing, and BI.

BI involves analyzing isolated databases to create basic reports. With Graphical User Interface (GUI) and Self-Service Business Intelligence (SSBI) tools, business users get the information they need to make better decisions with greater ease and without relying heavily on data analysts and IT experts. 

SSBI solutions offer significant upgrades to the traditional data analytics model. As the next generation of BI, Augmented Analytics enhances the self-service model in several distinct ways.

Why do Businesses need Augmented Intelligence?

Augmented Intelligence increases the speed of knowledge in HR and Cybersecurity. By harnessing the capabilities of Augmented Intelligence, companies can sense, decide and act quickly and at scale. This allows companies to achieve faster results, reduce costs, create insights and improve security.

What can you do with Augmented Intelligence?

Integrating Augmented Intelligence into businesses and their analytics helps data scientists prepare data, gain the latest insights, and disseminate needed information throughout the company.

How are Different Industries using Augmented Intelligence?

More and more companies today are using IA to learn faster, adapt more effectively, and improve data learning over time. A few examples are as follows:

1. Hospitals and the healthcare industry can focus on the quality of patient care while reducing medical errors and speeding up billing and claims processes across the system.

2. Financial planners can offer personalized services based on a consumer’s capacity, potential risks, and goals across financial services.

3. Retailers can increase engagement by using machine cognition to identify the observed, inferred, and declared behavior of online shoppers.

Technologies Used in Extended Business Intelligence:

1. Big Data: Refers to large amounts of structured and unstructured data. It is big data and its complexity that none of the traditional data management tools can effectively store or process. 

2. Artificial Intelligence (AI) and Machine Learning (ML): Both make it easier for business users to prepare, analyze and gain insights from their data. It also helps data scientists by automating many of the tasks associated with developing, managing, and deploying Artificial Intelligence and Machine Learning models. Using Artificial Intelligence-driven techniques, Augmented Analytics (AA) can perform specific tasks by analyzing vast amounts of data. 

3. Natural Language Processing (NLP): This technology allows ABI systems to interpret natural languages ​​and manipulate them like humans. One application for Natural Language Processing in business is the development of enhanced chatbots.

Advanced Analytics is the future of BI:

Augmented Analytics (AA) uses Artificial Intelligence (AI) algorithms to automate the preparation of data for analysis by tagging and structuring Business Intelligence (BI). It also performs unbiased data analysis for objective BI inputs and easily identifies the root cause of problems.

Unlike traditional BI and SSBI, which require significant amounts of time to function properly, Augmented Business Intelligence (ABI) can provide insight in minutes.

Business users at all levels can leverage enhanced BI to capitalize on time-sensitive opportunities. While BI IT teams do the heavy lifting, AA software frees up data scientists and data analysts to spend time on more important work.

Advanced Business Intelligence can accelerate business and data-driven decision-making. And increase the overall performance of the business. Instead of humans pouring over data, cleaning data, and getting it into spreadsheets for reporting, ABI uses AI and ML to automate the entire process.

How will Augmented Intelligence Affect the Future of BI?

Augmented Intelligence is poised to improve home and workplace security, fight fraud and increase productivity across businesses. With the combination of human intelligence, employee productivity can only be increased through Machine Learning. 

Providing the right set of tools for analyzing and dealing with large structured data sets can reduce information overload and lead to rapid data-driven decisions.

If you have any questions related to AI or BI, feel free to reach out to our team of experts by contacting info@bigsteptech.com.