7 Technologies to Reach Mainstream Adoption Within the Next 5 Years

7 Technologies to Reach Mainstream Adoption Within the Next 5 Years

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Speech recognition will reach the Plateau of Productivity within the next two years and six other technologies will reach mainstream business adoption in the next two to five years according to Gartner. The Hype Cycle identifies 40 key technologies and describes how they will impact business performance in the digital workplace during the next 10 years.

Chatbots and virtual assistants represent a value-added implementation of speech recognition. VAs use AI and machine learning to assist people or automate tasks. They listen to and observe behaviors, build and maintain data models, and predict and recommend actions. Chatbots are expected to exhibit huge growth over the next few years. While less than 4 percent of organizations have already deployed conversational interfaces (including chatbots), 38 percent of organizations are planning to implement or actively experimenting with the technology.

Although customer service is the area that uses the most chatbots, they are likely to be deployed elsewhere in the organization. When chatbots are used as application interfaces, the way we work will change from "the user having to learn the interface" to "the chatbot learning what the user wants." This will greatly stimulate onboarding, training, productivity and efficiency inside the workplace.

In the same time frame, augmented analytics and personal analytics are making analytics available to more employees, allowing everyone the opportunity to become citizen data scientists. Augmented analytics uses automated ML to transform how data is developed, consumed and shared. Data and analytics leaders should embrace augmented analytics as part of their digital transformation strategies to deliver more-advanced insights to a broader range of users, including citizen data scientists and operational workers.

Gartner predicts that, by 2020, due in large part to the automation of data science tasks, citizen data scientists will surpass data scientists in terms of the amount of advanced analysis produced.Personal analytics is the analysis of contextually relevant data to provide personalized insight, predictions and/or recommendations for the benefit of individual users.

This year, citizen data science enters the Hype Cycle. It forms the foundation of next-generation analytics. Gartner anticipates that citizen data science will rapidly become an important part of the way we enable and scale data science capabilities throughout the organization. Gartner also predicts that, by 2020, more than 40 percent of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.

Adaptive learning platforms adjust the way instructional content is presented to users based on their responses or preferences and are used to optimize workforce digital dexterity. The technology is sliding into the Hype Cycle’s Trough of Disillusionment and is on pace to reach the Plateau of Productivity in the next two to five years.

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