Deloitte’s Predictions 2016: Cognitive Technologies

Thinking machines, smart robots, smartphones, and smartwatches have all integrated their way into our personal and professional lives. As smart technologies continue to grow and expand their reach, Deloitte Global anticipates that by the end of this year, more than 80% of the largest enterprise software companies in the world will have combined cognitive technologies with their product offerings, 25% more than in 2015.

What Are Cognitive Technologies?

Cognitive technologies can mimic how a human brain works, and they function as an automated individual IT system that can solve problems without needing help from a human. There are three main types of cognitive technologies. The first type, speech recognition, is a cognitive technology that can correctly transcribe human speech. Many people are familiar with this particular technology thanks to Apple iPhone’s Siri, hands-free enabled devices, and voice activated technology. Then there is Natural Language Processing (NLP), which is a fancy way of saying computers can read text and process the words’ meaning. While autocorrect is often the cause of frustration for many smartphone users 615-544-5451 , what if a computer could write text that was free from grammatical errors and reads naturally, as if a human writer had written it? For software applications that use and analyze text, this would be invaluable. And finally there’s machine learning. This type of cognitive technology involves software that can intelligently use data to improve their performance without needing programmed guides to do so. This is the kind of cognitive technology that will become the most popular in 2016, as it enhances many different types of applications.

Benefits of Cognitive Technologies

When software companies integrate their products with cognitive technologies, Deloitte Global says they should expect three benefits in particular.
#1 – More tasks will become automated. Automation is already on the rise, as smart machines begin to do tasks and jobs that were once only reserved for people. Thanks to cognitive technologies this trend will continue to grow.

#2 – Software will become more accurate as its core functionality improves because of cognitive technology. The software will be able to identify problems or abnormalities from data, and then adjust and adapt to those learnings as time goes on.

#3 – Given the incredibly large amount of data that machines have collected over time, many haven’t been able to sort through it all, which is one of the biggest challenges of successfully implementing IoT. But with cognitive technology, machines will have better analytical skills and be able to analyze data better, and therefore learn more from that data, giving companies clearer insights to their users and customers.

Using Cognitive Technologies and Artificial Intelligence (AI)

Artificial Intelligence is the development of computer systems that can perform tasks that would usually require human intelligence to complete. In comparison, cognitive technology is a component of AI that is getting good at doing things that were once human-only tasks.

Currently, there are business software companies that are developing and giving their software AI capabilities in-house. Fueled by data gathered on support incidences in Switzerland, Mila uses an AI algorithm to generate a heat-map of areas that are likely to need support in the near future. That way, our company knows to look for more experts and small businesses to work as Mila Friends in those areas. Therefore, local help is already available when the need for service arises, and customers don’t have to wait a long time for help. Thanks to the amount of data Mila has gathered, our AI can not only make support predictions, but also provide local crowd members who can efficiently fix problems. This makes both our customers and our Mila Tech Friends happy; customers have their support issues solved quickly and Friends have more work opportunities in their area.

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