About
Serial entrepeneur, with strong marketing, business development and global sales…
Articles by John
Contributions
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What's your approach to collaborating with industry peers?
There is a step before "Define your goals", its what I call "Do your research." We live in an era of infinite and plentiful primary and secondary information and insights about any company. Before setting your goals, do your homework so you know the knowable facts so you are not wasting the person's time. Also, it will sharpen your ability to define better goals.
Activity
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Excited to share the success of the Steminist Ball. I posted a 2025 Challenge to create the future you want to live in well Stem Atlanta Women and…
Excited to share the success of the Steminist Ball. I posted a 2025 Challenge to create the future you want to live in well Stem Atlanta Women and…
Liked by John Ambrose
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Feeling a bit nostalgic this morning as the holiday season inches closer. To all my friends, former colleagues and business associates, I’d like to…
Feeling a bit nostalgic this morning as the holiday season inches closer. To all my friends, former colleagues and business associates, I’d like to…
Liked by John Ambrose
Experience
Education
Publications
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Multiple Modes in Corporate Learning: Propelling Business IQ with Formal, Informal and Social Learning
Journal of Asynchronous Learning Networks (JALN)
An exploration of the ever changing and expanding world of corporate education in response to trends such as multi-generational workforces, remote employees, off-shoring and strategic talent management. Journal of Asynchonous Learning Networks is a publication of The Sloan Consortium.
Other authorsSee publication
Patents
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Method and System to Identify Business Metrics to Augment Existing Metrics
Filed US 14/924370
Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption…
Identifying one or more patterns of content consumption across multiple entities and determining an engagement action for a user of an entity based on the patterns may include receiving information associated with content, cross-industry user data associated with consumption of the content, and a given organization user data associated with consumption of the content. A first set of consumption profile vectors associated with the given organization and one or more second set of consumption profile vectors associated respectively with one or more cross-industry organizations may be generated. Information associated with a target user in the given organization may be received. A customized learning plan for the target user in the given organization may be generated based on the first set of consumption profile vectors, the one or more second set of consumption profile vectors, and the information associated with the target user.
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Enhancing Enterprise Learning Outcomes
Filed US US20160335909A1
Enterprise learning system may receive as input learning goals for a learner. Learning goals may also be specified by job-roles. The system may output course-sequence recommendations, sequence-associations to learning goals and learning-goal recommendations. A semantic analysis may automatically relate learning-goals to learning assets and job-roles. Computational semantic relation-finding may leverage available knowledge-bases. A sequence-recommendation recommends course or learning asset…
Enterprise learning system may receive as input learning goals for a learner. Learning goals may also be specified by job-roles. The system may output course-sequence recommendations, sequence-associations to learning goals and learning-goal recommendations. A semantic analysis may automatically relate learning-goals to learning assets and job-roles. Computational semantic relation-finding may leverage available knowledge-bases. A sequence-recommendation recommends course or learning asset sequences to the learner based on historical usage, the learner's current and/or desired job-roles and learning goals.
Courses
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Big Data: Making Complex Things Simpler
MIT, Oct 2012
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