Did you know that the concept of Artificial Intelligence was first developed in the year 1956 in the USA? Though nothing really came out of that attempt. It wasn’t until the early 1990s that AI was successfully used in the technology industry. Since then, AI has come a long way. But with the rapid pace of technological evolution, even AI is evolving. Tech companies have now realised that combining the capabilities of humans and AI will yield better and more exceptional results. This is where the other AI, Augmented Intelligence comes in.
What is Augmented Intelligence? How is it better than Artificial Intelligence?
Also known as Intelligence Amplification (IA), augmented intelligence is a combination of data, artificial intelligence, analytics, and human judgement. It emphasises that cognitive technology is made not to replace human intelligence but to enhance it.
AI is the development of machines that work and react like humans, while IA is about humans and machines working together. In simple words, in AI, computers make the decisions, and in IA, you make decisions with the help of computers.
In recent years, fears that AI will replace humans have sparked. Augmented intelligence has quelled these fears. It is also relevant in places where the risk of failure in the hands of AI is too substantial to comprehend, and human intervention is necessary.
How does it work?
Augmented intelligence uses machine learning and deep learning to analyse and present the data in a form understandable by workers. Machine learning is the ability of machines to learn and adapt without human intervention. Deep learning refers to the process that imitates the human brain’s ability to catch patterns. The decision-making and response time of the workers improves significantly by using augmented intelligence.
Advantages of Augmented Intelligence
Augmented intelligence has transformed the way we work and it’s benefits are aplenty. Some of its major advantages are –
- Augmented intelligence improves the work of professionals by eliminating human limitations.
- It eliminates time-consuming and tedious tasks by analysing and presenting understandable data. The decision still rests on your shoulders.
- IA has changed the way we interact with the development of virtual assistants.
- Augmented intelligence also predicts risks and opportunities more accurately. With the use of machines and deep learning, IA uses data and previous patterns to give more informed reports.
Some Use cases of Augmented Intelligence
Augmented Intelligence is used in various industries, from healthcare to oil and gas. It is hard to believe but augmented intelligence is everywhere. Take your digital assistants, for example. Siri, Alexa, and Google assistant are all examples of augmented intelligence. Some other uses include-
- The financial applications use IA for monitoring the stock market.
- The customer service, billing, and claim sections use IA to eliminate the time-consuming procedure.
- Online stores predict customer preferences through IA.
- In hospitals, the case files of patients are analysed using IA for more efficient treatment.
- Video games also use it to create augmented reality events.
Data Discovery platforms have been at the fore of this. An inbuilt machine learning automation functionality, a predictive/prescriptive approach, augmented data preparation for auto discovery, and NLP-based conversational analytics.
To see how IA is used, take a look at our flagship product, Beagle. Click here.
It marks the beginning of a revolution in the use of data. You must have heard the quote, “alone we can do so little, together we can do so much,” by Helen Keller. We alone are not enough. However, with the right blend of humans and technology, we can turn our weaknesses into strengths. Augmented Intelligence has truly opened the world to new possibilities.