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Important Applications of Cognitive Computing Technology
People already know that AI is being employed to some extent through apps such as Amazon's voice assistant Alexa, as well as Netflix and Amazon algorithms that suggest what one might like to buy or watch next.

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Apac CIOOutlook | Tuesday, July 27, 2021
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People already know that AI is being employed to some extent through apps such as Amazon's voice assistant Alexa, as well as Netflix and Amazon algorithms that suggest what one might like to buy or watch next.
FREMONT, CA: When it comes to analyzing data, cognitive computing may surely be a beneficial tool — for most businesses, data is everything, and using that data to continue research, increase the market, or get insight into the customer experience is critical.
Cognitive computing can also aid in the integration of departments. Each department frequently has its own data set, but cognitive computing can help to bring this data together and evaluate it for better overall company ideas. These improved insights can assist firms in making wiser or faster decisions. In fact, most high-performing businesses attribute some of their success to cognitive computing abilities, such as agility and responsiveness, as well as financial data.
Cognitive Technology Applications
People already know that AI is being employed to some extent through apps such as Amazon's voice assistant Alexa, as well as Netflix and Amazon algorithms that suggest what one might like to buy or watch next. Cognitive computing techniques are already in use in various industries. These are some of the industries that can profit from this type of technology:
- Healthcare and veterinary medicine: This type of cognitive computing tool, with access to previous patient records and a database of medical information, can allow a physician to engage with it and ask treatment-related queries.
- Finance and investment firms: Investment businesses can utilize cognitive computing apps to assess the market in specific ways for their clients and collaborate with the program to offer useful recommendations.
- Travel: Cognitive computing apps in travel might gather accessible travel information, such as flight and hotel costs and availability, and mix it with user preferences, budget, and so on to help create a streamlined, personalized travel experience that could save consumers time, money, or both.
Health and wellness: Apps can help personal trainers and individuals acquire advice for how to improve their food or exercise regimen, or even how to manage their sleep and stress-reduction routines, using data input from wearable devices like a FitBit or Apple Watch.
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