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An open source taxonomy for the future of education. Mapping the learning and talent innovation landscape. - GitHub - HolonIQ/learning-landscape: An open source taxonomy for the future of education...

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A smarter knowledge sharing platform to transform tribal knowledge into working company data. Eliminate information silos, increase productivity.

The Territorium ecosystem of solutions supports all individuals in their education and career journey, and drives improved education outcomes.

Learn how NASA uses Neo4j to develop a knowledge graph as part of its knowledge architecture to analyze lessons learned and save astronauts' lives.

PDF | We present our CareerVis system, an interactive visualization tool to aid career education for high school and freshman college students. In... | Find, read and cite all the research you need on ResearchGate

Net Capital Instructions: Once your offering is live, 1st round of edits are free. Additional edits are 300$ per round. Page re-designs $1,000. What is an offering page? The investor facing piece that will publicly available on Netcapital.com Who writes the content? You do! Not to worry, we’re ...

David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.

Access never-before-possible insights, and scale your team to deliver talent transformation with AI.

At Coursera, we use data to power our product and better serve our learners. One example is our Skills Graph —a series of algorithms…

Background Biomedical knowledge graphs have become important tools to computationally analyse the comprehensive body of biomedical knowledge. They represent knowledge as subject-predicate-object triples, in which the predicate indicates the relationship between subject and object. A triple can also contain provenance information, which consists of references to the sources of the triple (e.g. scientific publications or database entries). Knowledge graphs have been used to classify drug-disease pairs for drug efficacy screening, but existing computational methods have often ignored predicate and provenance information. Using this information, we aimed to develop a supervised machine learning classifier and determine the added value of predicate and provenance information for drug efficacy screening. To ensure the biological plausibility of our method we performed our research on the protein level, where drugs are represented by their drug target proteins, and diseases by their disease proteins. Results Using random forests with repeated 10-fold cross-validation, our method achieved an area under the ROC curve (AUC) of 78.1% and 74.3% for two reference sets. We benchmarked against a state-of-the-art knowledge-graph technique that does not use predicate and provenance information, obtaining AUCs of 65.6% and 64.6%, respectively. Classifiers that only used predicate information performed superior to classifiers that only used provenance information, but using both performed best. Conclusion We conclude that both predicate and provenance information provide added value for drug efficacy screening.

By Rob Hill, CRO at ProFinda Can a Machine Learning powered Knowledge Graph transform Talent Acquisition? The true transformation of talent acquisition will only occur when we start to focus the power of Machine Intelligence on understanding and mapping out the knowledge contained within an organisation. This can be achieved by building a knowledge graph of … The power of Machine Learning to drive Talent Acquisition Read More »

At Beamery, we are pushing the boundaries of how modern recruitment is being done.

A few years after Google announced that their knowledge graph allowed searching for things, not strings, knowledge graphs...

His team is building a talent mapping database using Neo4j technology to build a knowledge graph to show the relationships between people, skills, and projects. VentureBeat: How are you using those categories to build a data model? Those elements consist of knowledge, skills, abilities, tasks, workforce characteristics, licensing, and education. And it’s similar for programs: we can connect back to what knowledge, skills, and tasks a person needs for each project. Within a graph database or knowledge graph, you can easily add information as you get it without messing up your schema or your data model.

Check out how David Meza from NASA combined knowledge graph and graph algorithms to find hidden skills within the organization.

David Meza, senior data scientist at NASA, and his team are building a talent mapping database to better identify talent for jobs.

Reprint: R1010B Do investments in your employees actually affect workforce performance? Who are your top performers? How can you empower and motivate other employees to excel? Leading-edge companies such as Google, Best Buy, Procter & Gamble, and Sysco use sophisticated data-collection technology and analysis to answer these questions, leveraging a range of analytics to improve the way they attract and retain talent, connect their employee data to business performance, differentiate themselves from competitors, and more. The authors present the six key ways in which companies track, analyze, and use data about their people—ranging from a simple baseline of metrics to monitor the organization’s overall health to custom modeling for predicting future head count depending on various “what if” scenarios. They go on to show that companies competing on talent analytics manage data and technology at an enterprise level, support what analytical leaders do, choose realistic targets for analysis, and hire analysts with strong interpersonal skills as well as broad expertise.

Talent analytics can strengthen your HR strategy. With shifting trends in recruiting, it's important to use all the people data available.

Talent analytics can strengthen your HR strategy. With shifting trends in recruiting, it's important to use all the people data available.

Net Capital Instructions: Once your offering is live, 1st round of edits are free. Additional edits are 300$ per round. Page re-designs $1,000. What is an offering page? The investor facing piece that will publicly available on Netcapital.com Who writes the content? You do! Not to worry, we’re ...

Moqups makes it easy to quickly wireframe and design your website or mobile app. Add interactivity to create prototypes and share them with your collaborators.

In recent years, technological innovations have had a profound impact on the education sector. The evolution of information and communications technology (ICT) itself changed the course of teaching and learning practices in the academic setting, enabling higher education and secondary institutions to explore new ways of creating, developing, and delivering educational resources….

List of the largest education companies by market capitalization, all rankings are updated daily. Top public companies are: Pearson, Bright Horizons, IDP Education, New Oriental, Offcn Education