The Bond Between Artificial Intelligence and Knowledge Management Source: https://curatti.com/artificial-intelligence-knowledge-management/ In the coming years, we will have massive online knowledge bases that will have tons of information, data, and knowledge over which individuals and organisations will have a competitive advantage in the industry. The importance of text analytics and data is increasing drastically. With plenty of online knowledge base and upcoming knowledge base software, artificial intelligence and knowledge management are gaining plenty of momentum. However, the only challenge that we may face would be the presence of unstructured data. In the coming years, industries will see both unstructured and proliferation of structured data. This forces mankind to find ways that uncover knowledge from a lot of resources. In scenarios like these, concepts like “big data” come into the picture. Cognitive computing serves as a vital tool for extracting information from big data. Process-centric methods, strategies and inter-organisational aspects of decision making are essential in the design and development of new technologies. This is where people need to realise that there is plenty of scope for academic endeavours in this area. There are plenty of opportunities that provide an insight on how big data processes improve the decision-making abilities of machines. Undeniably, cognitive computing is the connection between next-generation technologies: artificial intelligence and knowledge management. In fact, industries are considering cognitive computing as a disruptive force. This disruptive force can change the world we live in dramatically. It will have a substantial impact on how we see things, work and live! In fact, cognitive computing, knowledge management and artificial intelligence have taken control of the work processes within most industries. QUESTION 2 The article above further states: “In fact, cognitive computing, knowledge management and artificial intelligence have taken control of the work processes within most industries”. Explain SIX (6) challenges that managers face when implementing knowledge management (KM) systems.
The Bond Between Artificial Intelligence and Knowledge Management
Source: https://curatti.com/artificial-intelligence-knowledge-management/
In the coming years, we will have massive online knowledge bases that will have tons of information, data, and
knowledge over which individuals and organisations will have a competitive advantage in the industry. The
importance of text analytics and data is increasing drastically. With plenty of online knowledge base and
upcoming knowledge base software, artificial intelligence and knowledge management are gaining plenty of momentum.
However, the only challenge that we may face would be the presence of unstructured data. In the coming years, industries will see both unstructured and proliferation of structured data. This forces mankind to find ways that uncover knowledge from a lot of resources. In scenarios like these, concepts like “big data” come into the picture. Cognitive computing serves as a vital tool for extracting information from big data.
Process-centric methods, strategies and inter-organisational aspects of decision making are essential in the design and development of new technologies. This is where people need to realise that there is plenty of scope for academic
endeavours in this area. There are plenty of opportunities that provide an insight on how big data processes improve the decision-making abilities of machines. Undeniably, cognitive computing is the connection between next-generation technologies: artificial intelligence and knowledge management. In fact, industries are considering cognitive computing as a disruptive force. This disruptive force can change the world we live in dramatically. It will have a substantial impact on how we see things, work and live! In fact, cognitive computing, knowledge management and artificial intelligence have taken control of the work processes within most industries.
QUESTION 2
The article above further states: “In fact, cognitive computing, knowledge management and artificial intelligence have taken control of the work processes within most industries”. Explain SIX (6) challenges that managers face when implementing knowledge management (KM) systems.
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