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Technological advances are rapidly changing people’s lives, and their impact is explicitly seen in the workplace. The emergence of essential concepts in the field, such as big data, allows companies to analyze their employees’ behavior and predict its future patterns for better planning in the long run (“Skillsoft and IBM”). Therefore, Skillsoft and IBM are using these developments for the benefit of individuals and organizations to promote their growth.
The companies mentioned above have created a mechanism of processing information, which they receive from people when they access different websites. They use these big data to facilitate the search for the required content by tracing their consumption patterns and making recommendations (“Skillsoft and IBM”). This approach is quite flexible since it allows not only providing workers with knowledge contributing to their promotion but also monitoring shifts in preferences to readjust suggestions for increased efficiency.
In this way, using big data to analyze employees’ learning patterns can be advantageous for companies. The latter benefits from the enhanced competence of the former, who, in turn, feel more confident in their abilities to cope with emerging tasks when following recommendations. This outcome explains why the adoption of corresponding technological solutions by enterprises is an optimal solution for improving the results of their work.
To summarize, technology companies, such as Skillsoft and IBM, cooperate for the establishment of organizational practices, including the use of big data. They allow increasing the productivity of people’s operations and boosting their professional growth through making recommendations on the content based on their preferences and consumption patterns. Thus, both entities and individuals can benefit from the introduction of the above advances and their application to regular tasks and long-term projects.
Work Cited
“Skillsoft and IBM: New Capabilities for Big Data in Enterprise Learning.” YouTube, uploaded by Skillsoft YouTube. 2014. Web.
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