Knowledge Driven Decision Making Part 2 Caminao S Ways The integration of machine learning (implicit knowledge) and knowledge graphs (explicit knowledge) technologies enables some event triggered shortcuts, directly from observation to decisions based on “canned” orientation, or even to immediate actions. Explicit knowledge is easy to document and share, while implicit and tacit knowledge are more difficult to express and transfer. by recognising these differences, the framework helps businesses to manage their knowledge more effectively.
Knowledge Driven Decision Making Part 2 Caminao S Ways Considering though, should some decisions be made if entropy points to unobtained perspective? some of the historically complicated decisions took years to correct. There’s a new buzz in town, name is “mixed reality”, but don’t be fooled, it’s the old ar. That pivot from learning (individual and collective knowledge) to decision making (individual accountability) is arguably a critical issue for organizations. it can be analyzed with regard to the problem at hand, or from the broader perspective of organizational behavior. Assuming a knowledge management framework, the objective is to pair (as in dna strands) the observation orientation decision action (ooda) steps of decision making processes with their data information knowledge counterparts for content.
Knowledge Driven Decision Making Part 2 Caminao S Ways That pivot from learning (individual and collective knowledge) to decision making (individual accountability) is arguably a critical issue for organizations. it can be analyzed with regard to the problem at hand, or from the broader perspective of organizational behavior. Assuming a knowledge management framework, the objective is to pair (as in dna strands) the observation orientation decision action (ooda) steps of decision making processes with their data information knowledge counterparts for content. The agility of words agile business analysis spaces, paths, paces (part 1) spaces, paths, paces (part 2) agile between space & time delivery & dynamic programming agile & enterprise creativity. Operational knowledge is best understood as information put to use, and must include concerns and decision making. but smart bots’ ubiquity and capabilities often sap information traceability and decisions transparency, which makes room for humans to prevail. On one hand well founded approaches (e.g test driven development) are often confined to faith based niches; on the other hand automated schemes and agile methods push many testers out of their comfort zone. Boxes and arrows may help to understand issues and support decision making processes, but decisions are more easily triggered by rules than visuals. as far as enterprise architecture is concerned, the rule of the game is the necessary collaboration across enterprise business and systems units.
Knowledge Driven Decision Making Part 2 Caminao S Ways The agility of words agile business analysis spaces, paths, paces (part 1) spaces, paths, paces (part 2) agile between space & time delivery & dynamic programming agile & enterprise creativity. Operational knowledge is best understood as information put to use, and must include concerns and decision making. but smart bots’ ubiquity and capabilities often sap information traceability and decisions transparency, which makes room for humans to prevail. On one hand well founded approaches (e.g test driven development) are often confined to faith based niches; on the other hand automated schemes and agile methods push many testers out of their comfort zone. Boxes and arrows may help to understand issues and support decision making processes, but decisions are more easily triggered by rules than visuals. as far as enterprise architecture is concerned, the rule of the game is the necessary collaboration across enterprise business and systems units.
Knowledge Driven Decision Making Part 2 Caminao S Ways On one hand well founded approaches (e.g test driven development) are often confined to faith based niches; on the other hand automated schemes and agile methods push many testers out of their comfort zone. Boxes and arrows may help to understand issues and support decision making processes, but decisions are more easily triggered by rules than visuals. as far as enterprise architecture is concerned, the rule of the game is the necessary collaboration across enterprise business and systems units.
Knowledge Driven Decision Making Part 2 Caminao S Ways
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