Habilitační přednáška pro odbornou veřejnost Parag Kulkarniho, Ph.D., DSc
Předseda habilitační komise prof. Matyska zve všechny zájemce na habilitační
přednášku pro odbornou veřejnost pana Parag Kulkarniho, Ph.D., DSc. Přednáška
proběhne v rámci Informatického kolokvia na Fakultě informatiky MU v posluchárně
D2 v úterý 23.10.2012 od 14 hod.
Paradigm of Systemic Machine Learning and Its Role in Knowledge Innovation and
Knowledge Discovery
Abstrakt: The advent of new and penetrating tools and technologies of
information retrieval has changed the face of information processing. Tons and
tons of information in unstructured/semi-structured form with verbose comments -
networked in profound way is at our disposal. This creates new challenges in the
field of knowledge management, machine learning and information processing. The
traditional Knowledge Management and Machine Learning techniques are no longer
relevant and hence handicap knowledge workers. These techniques typically fail
to capture cadence of organic activity and relevant patterns among dependencies
and hence fail to build overall context and pertinent knowledge. The last decade
was about value innovation. Where strategic significance of the activities and
initiative was measured in terms of direct value creation and value delivered.
The value innovation lacks sustainability. While the businesses are moving
towards knowledge based foundations with more and more intelligence - there is
more need of knowledge innovation and systemic machine learning for sustainable
value creation. Knowledge innovation is sustainable value creation with systemic
approach and holistic learning. It is based on systemic value creation through
systemic learning and with the effective use of knowledge. Learning is involved
greatly in knowledge innovation and hence machine learning can play a key role
in knowledge innovation. This talk introduces innovative concept of Systemic
Machine Learning and knowledge innovation and what their role along with the
contributions by author in introducing new paradigms in ML and KM and applying
them for value creation.
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