Cognitive computing applications refocus developers' skills

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This is the fourth in a continuing series of stories previewing sessions of importance to cloud application developers at the Cloud Expo conference, which takes place June 7 to 9 at the Jacob Javits Center in New York. IT analyst Denis Pombriant explains why platforms are on the rise and how to choose the right one. He also highlights the importance of having an ecosystem and puts a spotlight on issues in cloud development. This email address is already registered. By submitting my Email address I confirm that I have read and accepted the Terms of Use and Declaration of Consent.


IBM's self-service #AI offers developers science, scale and simplicity #Cognitive

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It can go by many names, but artificial intelligence, machine learning, and cognitive computing tend to be used the most. Cognitive computing works on the basic premise that machines, algorithms, and applications can sort through reams of data to make analytical decisions with precision, while interacting with humans in a natural manner. With the recent expansion of the Watson Developer Cloud, a self-service platform that offers over 30 Watson APIs, including speech, text, and image recognition, any developer can take a deep dive into AI and begin to incorporate the power of cognitive computing into their applications. Watson's General Manager, David Kenny, recently penned a blog to discuss how IBM is combining science, scale, and simplicity into self-service cognitive computing APIs to help developers incorporate AI while speeding up their development times.


AI and cognitive computing applications for risk management Deloitte US

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The idea of computers outsmarting and replacing humans has existed in movies and books for decades. Fortunately, that hasn't happened on a wide scale yet. But what has happened is the recent emergence of artificial intelligence concepts--specifically cognitive computing. These concepts involve advanced technology platforms that can address complex situations that are characterized by ambiguity and uncertainty. Cognitive computing has begun to augment business decisions and power performance right alongside human thought process and traditional analytics.


Embrace Artificial Intelligence in your next development project

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Today we are living in a cognitive computing era, where cognitive technology is revolutionizing the way apps are being architected and developed. Applications are being designed to continuously reprogram themselves vs. being programmed by humans. IBM, Google, Microsoft and Amazon have made great strides in making their cognitive computing systems accessible to developers with a simple API call. Cognitive computing systems learn and interact naturally with people and machines to mimic the way the human brain works for tasks such as analyzing, planning, problem-solving, decision-making, synthesizing and judging. The cost to incorporate these technologies into applications or devices is fairly reasonable.


5 Ways Machine Learning Has Influenced The Modern Cloud

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The cloud computing industry is going through a gradual shift towards becoming an intelligent cloud. While compute, storage, and networking continue to be the revenue spinners for cloud vendors, it is Machine Learning that is becoming the focal point of the contemporary cloud. Here are five cloud services that are highly influenced by Machine Learning. Cognitive Computing aims to bring sensory capabilities to applications. It enables apps to see, listen, talk, and even make decisions.