Cognitive communication delivers a smarter, more personalized approach to productivity and collaboration with a new, human-centric experience.
What is cognitive communication?
Cognitive communications are taking organizations into the “human-centric” era where collaboration and communication systems adapt to different behaviors, expectations and preferences. In this new workplace, employees can use voice commands to interact with natural language bots to get help with daily needs and issues. Guided by artificial intelligence, smart bots can also anticipate user needs, based on context. These smart bots can streamline workflows by providing immediate answers to questions and problems.
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Smart bots can be accessed on many different interfaces, including both fixed and mobile phones, as well as PCs and tablets. They can also transmit information over a variety of media, including text, instant messaging, voice, and bot-to-bot communication.
But what exactly are bots? Bots are software applications that run automated tasks over a network. The tasks are usually simple and structurally repetitive, so bots can perform them faster and more accurately than a human.
Bots can provide information on virtually any topic by searching, finding and returning the information that the user has requested. They can also leverage Artificial Intelligence (AI) to learn from user behavior and preferences. Over time, they become better at using data to anticipate a users’ needs and expectations - for example, suggesting a sandwich bar near the location of your morning meetings as a notification on your smartphone, or suggesting phrases to auto-complete your email messages.
In the current enterprise landscape, most bots are designed for a single purpose (one action per bot). As users grow more accustomed to bots and have greater confidence in their ability, bots will likely become multifunctional, with more responsibilities.
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What do artificial intelligence (AI) and machine learning (ML) have to do with enterprises? Well, with stiff competition and slim margins, having the edge can mean the difference between your business thriving and dying.
To stay a step ahead, enterprises need to find ways to optimize an ever-increasing number of business processes. Artificial Intelligence lets technology perform tasks that have the characteristics of human intelligence, while machine learning enables technology to learn without being explicitly programmed. This means that machine learning can provide machines with AI capabilities.
Streamlined processes and improved efficiencies let enterprises do more with less, respond quicker, and stand out against the competition.
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ALE and IBM teaming on Cognitive communications
