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Escaping the Productivity Trap with Cognitive Computing

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trapby Angela Guess

Jacques Pavlenyi recently wrote in CMSwire, “The amount of time employees spend on collaborative business activities is estimated to have increased by 50 percent over the last two decades. Most of us feel crushed under a barrage of meetings, emails, chat, activity streams and more. Despite the endless barrage of productivity tricks and hacks, it has become nearly impossible to get our actual jobs done. Part of the solution lies in better integration of these channels across the digital workplace — but that only gets us part way there. Cognitive computing and artificial intelligence will play a bigger part in moving us from our current productivity trap to becoming truly effective. Cognitive computing is sometimes lumped together with machine learning or artificial intelligence (AI), but it provides more powerful capabilities. Applying cognitive to collaboration offers three opportunities to break through the digital channel sprawl and digital information overload.”

Those three opportunities, according to Pavlenyi, are: “(1) Every aspect of human interactions can be digitized. Not only can we can digitize documents and transactions, but also the rich entirety of our content, conversations and workflows. We can capture context, location and time across all the different channels we use. (2) Data can now be understood and analyzed. Cognitive systems can understand unstructured data that was previously unreadable — including audio, video, images and conversations. It can also apply analytics to not just see and predict patterns, but to also develop hypotheses from all that activity. (3) Cognitive systems learn over time – and learn voraciously. These systems get better over time. And they can learn deeply and continuously. When applied to collaboration tools, they learn to interact with us in a more human way, helping to reduce interruptions, noise and lack of focus. They understand and adjust to our specific intent, and dynamically react to our needs.”

Read more here.

Photo credit: Flickr/ stock.photos

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