�ݺ�ߣshows by User: Textkernel

�ݺ�ߣshows by User: Textkernel / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: Textkernel / Wed, 12 Apr 2017 08:53:02 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: Textkernel Textkernel Emerce eRecruitment - 6 april 2017 /slideshow/textkernel-emerce-erecruitment-6-april-2017-74926387/74926387 textkernelemerceerecruitment2017gm-170412085302
Maakt Artificial Intelligence het werk van de recruiter straks overbodig? In tegendeel! In een krapper wordende arbeidsmarkt wordt recruitment en tijd voor de kandidaat steeds belangrijker. In deze presentatie geven we een korte introductie over AI en laten we zien waarom het juist voor recruitment belangrijk is en hoe het je helpt beter te sourcen en te matchen. We sluiten af met interessante klantcases van o.a. USG People en CERN.]]>
Maakt Artificial Intelligence het werk van de recruiter straks overbodig? In tegendeel! In een krapper wordende arbeidsmarkt wordt recruitment en tijd voor de kandidaat steeds belangrijker. In deze presentatie geven we een korte introductie over AI en laten we zien waarom het juist voor recruitment belangrijk is en hoe het je helpt beter te sourcen en te matchen. We sluiten af met interessante klantcases van o.a. USG People en CERN.]]> Wed, 12 Apr 2017 08:53:02 GMT /slideshow/textkernel-emerce-erecruitment-6-april-2017-74926387/74926387 Textkernel@slideshare.net(Textkernel) Textkernel Emerce eRecruitment - 6 april 2017 Textkernel Maakt Artificial Intelligence het werk van de recruiter straks overbodig? In tegendeel! In een krapper wordende arbeidsmarkt wordt recruitment en tijd voor de kandidaat steeds belangrijker. In deze presentatie geven we een korte introductie over AI en laten we zien waarom het juist voor recruitment belangrijk is en hoe het je helpt beter te sourcen en te matchen. We sluiten af met interessante klantcases van o.a. USG People en CERN. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/textkernelemerceerecruitment2017gm-170412085302-thumbnail.jpg?width=120&height=120&fit=bounds" /> Maakt Artificial Intelligence het werk van de recruiter straks overbodig? In tegendeel! In een krapper wordende arbeidsmarkt wordt recruitment en tijd voor de kandidaat steeds belangrijker. In deze presentatie geven we een korte introductie over AI en laten we zien waarom het juist voor recruitment belangrijk is en hoe het je helpt beter te sourcen en te matchen. We sluiten af met interessante klantcases van o.a. USG People en CERN.

Textkernel Emerce eRecruitment - 6 april 2017 from Textkernel

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0 Practical Deep Learning for NLP /slideshow/practical-deep-learning-for-nlp/66161177 dl4nlp-160919091917
Presentation by Maarten Versteegh, NLP Research Engineer at Textkernel, at the PyData Meetup (https://www.meetup.com/PyData-NL/events/232899698/). ]]>
Presentation by Maarten Versteegh, NLP Research Engineer at Textkernel, at the PyData Meetup (https://www.meetup.com/PyData-NL/events/232899698/). ]]> Mon, 19 Sep 2016 09:19:17 GMT /slideshow/practical-deep-learning-for-nlp/66161177 Textkernel@slideshare.net(Textkernel) Practical Deep Learning for NLP Textkernel Presentation by Maarten Versteegh, NLP Research Engineer at Textkernel, at the PyData Meetup (https://www.meetup.com/PyData-NL/events/232899698/). <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dl4nlp-160919091917-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Maarten Versteegh, NLP Research Engineer at Textkernel, at the PyData Meetup (https://www.meetup.com/PyData-NL/events/232899698/).

Practical Deep Learning for NLP from Textkernel

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0 AI Reality: Where are we now? Data for Good? - Bill Boorman /slideshow/ai-reality-where-are-we-now-data-for-good-bill-boorman/62841490 widebillaireality-160608071604
At Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016, recovering recruiter Bill Boorman took a look at the AI landscape now, defining fact from fiction and wishful thinking. At the end of this slide deck, you can also find the YouTube recording.]]>
At Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016, recovering recruiter Bill Boorman took a look at the AI landscape now, defining fact from fiction and wishful thinking. At the end of this slide deck, you can also find the YouTube recording.]]> Wed, 08 Jun 2016 07:16:04 GMT /slideshow/ai-reality-where-are-we-now-data-for-good-bill-boorman/62841490 Textkernel@slideshare.net(Textkernel) AI Reality: Where are we now? Data for Good? - Bill Boorman Textkernel At Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016, recovering recruiter Bill Boorman took a look at the AI landscape now, defining fact from fiction and wishful thinking. At the end of this slide deck, you can also find the YouTube recording. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/widebillaireality-160608071604-thumbnail.jpg?width=120&height=120&fit=bounds" /> At Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016, recovering recruiter Bill Boorman took a look at the AI landscape now, defining fact from fiction and wishful thinking. At the end of this slide deck, you can also find the YouTube recording.

AI Reality: Where are we now? Data for Good? - Bill Boorman from Textkernel

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0 Robots Will Steal Your Job but That's OK - Federico Pistono /slideshow/robots-will-steal-your-job-but-thats-ok-federico-pistono/62798771 amsterdamtextkernelfedericopistono-160607071814
Presentation of researcher and entrepreneur Federico Pistono, author of "Robots Will Steal Your Job, But That's OK", that was held at Textkernel's conference Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Outline: Over the past four years, headlines warned us that a wave of joblessness is coming. They claim that advances in robotics, machine learning, and automation are ushering in an era of unprecedented change. Do these concerns reflect reality? Some claim that we have seen this story before, and that we have nothing to worry about. Others think that this time is different, and that we're about to experience the most dramatic shift in modern economic history, one for which we are not prepared. But what is the real risk of technological unemployment? How will it affect the job market, recruitment, and the economy at large? In this presentation, Federico Pistono separated the myths from reality by presenting the state of the art and forecasts of machine intelligence and its economic impact. ]]>
Presentation of researcher and entrepreneur Federico Pistono, author of "Robots Will Steal Your Job, But That's OK", that was held at Textkernel's conference Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Outline: Over the past four years, headlines warned us that a wave of joblessness is coming. They claim that advances in robotics, machine learning, and automation are ushering in an era of unprecedented change. Do these concerns reflect reality? Some claim that we have seen this story before, and that we have nothing to worry about. Others think that this time is different, and that we're about to experience the most dramatic shift in modern economic history, one for which we are not prepared. But what is the real risk of technological unemployment? How will it affect the job market, recruitment, and the economy at large? In this presentation, Federico Pistono separated the myths from reality by presenting the state of the art and forecasts of machine intelligence and its economic impact. ]]> Tue, 07 Jun 2016 07:18:14 GMT /slideshow/robots-will-steal-your-job-but-thats-ok-federico-pistono/62798771 Textkernel@slideshare.net(Textkernel) Robots Will Steal Your Job but That's OK - Federico Pistono Textkernel Presentation of researcher and entrepreneur Federico Pistono, author of "Robots Will Steal Your Job, But That's OK", that was held at Textkernel's conference Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Outline: Over the past four years, headlines warned us that a wave of joblessness is coming. They claim that advances in robotics, machine learning, and automation are ushering in an era of unprecedented change. Do these concerns reflect reality? Some claim that we have seen this story before, and that we have nothing to worry about. Others think that this time is different, and that we're about to experience the most dramatic shift in modern economic history, one for which we are not prepared. But what is the real risk of technological unemployment? How will it affect the job market, recruitment, and the economy at large? In this presentation, Federico Pistono separated the myths from reality by presenting the state of the art and forecasts of machine intelligence and its economic impact. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/amsterdamtextkernelfedericopistono-160607071814-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of researcher and entrepreneur Federico Pistono, author of "Robots Will Steal Your Job, But That's OK", that was held at Textkernel's conference Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Outline: Over the past four years, headlines warned us that a wave of joblessness is coming. They claim that advances in robotics, machine learning, and automation are ushering in an era of unprecedented change. Do these concerns reflect reality? Some claim that we have seen this story before, and that we have nothing to worry about. Others think that this time is different, and that we're about to experience the most dramatic shift in modern economic history, one for which we are not prepared. But what is the real risk of technological unemployment? How will it affect the job market, recruitment, and the economy at large? In this presentation, Federico Pistono separated the myths from reality by presenting the state of the art and forecasts of machine intelligence and its economic impact.

Robots Will Steal Your Job but That's OK - Federico Pistono from Textkernel

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0 Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader ESCO at the European Commission /slideshow/semantic-interoperability-in-the-labour-market-martin-le-vrang-team-leader-esco-at-the-european-commission/62771248 martinlevrang-semanticinteroperabilityinthelabourmarket-160606135548
This presentation was held by Martin le Vrang at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. The European Commission is developing a multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO). This common reference terminology will enhance the functioning of the labour market, help to build an integrated European labour market and bridge the communication gap between work and education/training. ESCO is part of an emerging Semantic Web in the labour market and the education and training sector. Job vacancies, CVs and training curricula would no longer just be documents, but standardised sets of data which can be reused in job matching, HR systems, for career guidance tools or in statistical applications.]]>
This presentation was held by Martin le Vrang at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. The European Commission is developing a multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO). This common reference terminology will enhance the functioning of the labour market, help to build an integrated European labour market and bridge the communication gap between work and education/training. ESCO is part of an emerging Semantic Web in the labour market and the education and training sector. Job vacancies, CVs and training curricula would no longer just be documents, but standardised sets of data which can be reused in job matching, HR systems, for career guidance tools or in statistical applications.]]> Mon, 06 Jun 2016 13:55:48 GMT /slideshow/semantic-interoperability-in-the-labour-market-martin-le-vrang-team-leader-esco-at-the-european-commission/62771248 Textkernel@slideshare.net(Textkernel) Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader ESCO at the European Commission Textkernel This presentation was held by Martin le Vrang at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. The European Commission is developing a multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO). This common reference terminology will enhance the functioning of the labour market, help to build an integrated European labour market and bridge the communication gap between work and education/training. ESCO is part of an emerging Semantic Web in the labour market and the education and training sector. Job vacancies, CVs and training curricula would no longer just be documents, but standardised sets of data which can be reused in job matching, HR systems, for career guidance tools or in statistical applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/martinlevrang-semanticinteroperabilityinthelabourmarket-160606135548-thumbnail.jpg?width=120&height=120&fit=bounds" /> This presentation was held by Martin le Vrang at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. The European Commission is developing a multilingual classification of European Skills, Competences, Qualifications and Occupations (ESCO). This common reference terminology will enhance the functioning of the labour market, help to build an integrated European labour market and bridge the communication gap between work and education/training. ESCO is part of an emerging Semantic Web in the labour market and the education and training sector. Job vacancies, CVs and training curricula would no longer just be documents, but standardised sets of data which can be reused in job matching, HR systems, for career guidance tools or in statistical applications.

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader ESCO at the European Commission from Textkernel

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0 Pablo de Pedraza: Labor market matching, economic cycle and online vacancies /slideshow/pablo-de-pedraza-labor-market-matching-economic-cycle-and-online-vacancies/62770981 nk6k65ukrlq4gfhdj8gw-signature-04e94ca42ffa426288de3ad6ef2f98758eec62254c01ff390cf868329c316ba2-poli-160606134910
Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising. This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession. In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle. Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors.]]>
Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising. This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession. In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle. Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors.]]> Mon, 06 Jun 2016 13:49:10 GMT /slideshow/pablo-de-pedraza-labor-market-matching-economic-cycle-and-online-vacancies/62770981 Textkernel@slideshare.net(Textkernel) Pablo de Pedraza: Labor market matching, economic cycle and online vacancies Textkernel Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising. This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession. In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle. Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/nk6k65ukrlq4gfhdj8gw-signature-04e94ca42ffa426288de3ad6ef2f98758eec62254c01ff390cf868329c316ba2-poli-160606134910-thumbnail.jpg?width=120&height=120&fit=bounds" /> Pablo de Pedraza's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. The number of job openings, or vacancies, is an important indicator of the state of the economy and the labour market. They are extensively used by institutions and in academic papers to calculate the Beveridge Curve or estimate the matching function, center pieces of macroeconomic models studying labor markets. Vacancies can be measured using administrative registers, surveys to employers, advertisements in printed press or using online advertising. This presentation is divided into two sections. In the first one we study the Dutch Beveridge curve and the matching function using the number of vacancies inferred from a survey to employers conducted by the Dutch Central Bureau of Statistics (CBS) from 1997 until the end of 2014. We obtain conclusion about matching process before and after the Great Recession. In the second section we compare number of vacancies inferred from CBS vacancy data with the number of vacancies posted online. According to CBS data, the number of vacancies increases during positive shocks and goes down during negative ones. We can observe the number of web vacancies posted online from 2006 until today and compare them with CBS data during a complete economic cycle. Results show a positive time trend in the number of online vacancies and negative time trend in the number of vacancies inferred from a survey. We show that both series reflect very similar economic reality once we account for both trends. We settle our future research lines focusing on exploring the sources behind both trends and how they compare across sectors.

Pablo de Pedraza: Labor market matching, economic cycle and online vacancies from Textkernel

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0 New Developments in Machine Learning - Prof. Dr. Max Welling /slideshow/new-developments-in-machine-learning-prof-dr-max-welling/62770920 maxwelling-newpresentation-160606134750
Presentation from Prof. Dr. Max Welling, Professor of Machine Learning at the University of Amsterdam, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Due to increased compute power and large amounts of available data, machine learning is flourishing once again. In particular a technology called deep learning is making great strides maturing into a powerful technology. Max Welling briefly discusses variants of deep learning, such as convolutional neural networks and recurrent neural networks. But what lies around the corner in machine learning? He will discuss the three developments that in his opinion will become increasingly important: 1) Learning to interact with the world through reinforcement learning, 2) Learning while respecting everyone's privacy, and 3) Learning the causal relations in data (as opposed to discovering mere correlations). Together, they represent the "power tools" of the future machine learner.]]>
Presentation from Prof. Dr. Max Welling, Professor of Machine Learning at the University of Amsterdam, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Due to increased compute power and large amounts of available data, machine learning is flourishing once again. In particular a technology called deep learning is making great strides maturing into a powerful technology. Max Welling briefly discusses variants of deep learning, such as convolutional neural networks and recurrent neural networks. But what lies around the corner in machine learning? He will discuss the three developments that in his opinion will become increasingly important: 1) Learning to interact with the world through reinforcement learning, 2) Learning while respecting everyone's privacy, and 3) Learning the causal relations in data (as opposed to discovering mere correlations). Together, they represent the "power tools" of the future machine learner.]]> Mon, 06 Jun 2016 13:47:50 GMT /slideshow/new-developments-in-machine-learning-prof-dr-max-welling/62770920 Textkernel@slideshare.net(Textkernel) New Developments in Machine Learning - Prof. Dr. Max Welling Textkernel Presentation from Prof. Dr. Max Welling, Professor of Machine Learning at the University of Amsterdam, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Due to increased compute power and large amounts of available data, machine learning is flourishing once again. In particular a technology called deep learning is making great strides maturing into a powerful technology. Max Welling briefly discusses variants of deep learning, such as convolutional neural networks and recurrent neural networks. But what lies around the corner in machine learning? He will discuss the three developments that in his opinion will become increasingly important: 1) Learning to interact with the world through reinforcement learning, 2) Learning while respecting everyone's privacy, and 3) Learning the causal relations in data (as opposed to discovering mere correlations). Together, they represent the "power tools" of the future machine learner. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/maxwelling-newpresentation-160606134750-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation from Prof. Dr. Max Welling, Professor of Machine Learning at the University of Amsterdam, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Due to increased compute power and large amounts of available data, machine learning is flourishing once again. In particular a technology called deep learning is making great strides maturing into a powerful technology. Max Welling briefly discusses variants of deep learning, such as convolutional neural networks and recurrent neural networks. But what lies around the corner in machine learning? He will discuss the three developments that in his opinion will become increasingly important: 1) Learning to interact with the world through reinforcement learning, 2) Learning while respecting everyone's privacy, and 3) Learning the causal relations in data (as opposed to discovering mere correlations). Together, they represent the "power tools" of the future machine learner.

New Developments in Machine Learning - Prof. Dr. Max Welling from Textkernel

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0 Dr. Gábor Kismihók: Labour Market driven Learning Analytics /slideshow/dr-gbor-kismihk-labour-market-driven-learning-analytics/62770793 uiahvkkt06z0iadt2qdk-signature-fec7d752a693ecb143a4ef4bda872ee0607cd3d0001e4c4d9eee744b42c11fea-poli-160606134518
Dr. Gábor Kismihók's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. Learning analytics is an emerging discipline in education, aiming at analysing (big) educational data in order to improve learning processes. In this talk, Dr. Gábor Kismihók will give an overview about the main challenges of this field, with a special emphasis on bridging the education - labour market divide.]]>
Dr. Gábor Kismihók's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. Learning analytics is an emerging discipline in education, aiming at analysing (big) educational data in order to improve learning processes. In this talk, Dr. Gábor Kismihók will give an overview about the main challenges of this field, with a special emphasis on bridging the education - labour market divide.]]> Mon, 06 Jun 2016 13:45:17 GMT /slideshow/dr-gbor-kismihk-labour-market-driven-learning-analytics/62770793 Textkernel@slideshare.net(Textkernel) Dr. Gábor Kismihók: Labour Market driven Learning Analytics Textkernel Dr. Gábor Kismihók's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. Learning analytics is an emerging discipline in education, aiming at analysing (big) educational data in order to improve learning processes. In this talk, Dr. Gábor Kismihók will give an overview about the main challenges of this field, with a special emphasis on bridging the education - labour market divide. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/uiahvkkt06z0iadt2qdk-signature-fec7d752a693ecb143a4ef4bda872ee0607cd3d0001e4c4d9eee744b42c11fea-poli-160606134518-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dr. Gábor Kismihók's presentation at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016. Learning analytics is an emerging discipline in education, aiming at analysing (big) educational data in order to improve learning processes. In this talk, Dr. Gábor Kismihók will give an overview about the main challenges of this field, with a special emphasis on bridging the education - labour market divide.

Dr. G叩bor Kismih坦k: Labour Market driven Learning Analytics from Textkernel

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0 The Agile Future of HR and Talent Acquisition - Prof. Dr. Armin Trost /Textkernel/the-agile-future-of-hr-and-talent-acquisition-prof-dr-armin-trost defarmintrost2016-06-02texterkerneltrost-160606134404
Presentation from Prof. Dr. Armin Trost, Author, Consultant and Professor at Furtwangen University, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Human resource management in the 21st century will have little to do with what has been promoted in recent years or decades and written in the text-books. Instead of finding “the right people, at the right time and at the right place” we will make the employees and their individual preferences, talents, life plans, and ambitions the focus of attention. We will say goodbye to mechanistic, technocratic, and often bureaucratic approaches. They fit in a past that was stable and predictable. If you regard your employees as your most valuable asset, you will give them freedom, trust, and responsibility. Moreover you will appreciate individuality and individual life-plans. Human resources management will therefore deal less with hierarchical processes, systems, responsibilities, KPIs, etc., in the future. Rather, it will be about how to empower teams to think on their own responsibility, communicate, collaborate, learn, and develop their talent in the long term. HR-Technology will be there to make the life of managers and employees easier instead of supporting the HR-function only. For instance, in the area of recruiting all this will lead to a more intense usage of social networks, artificial intelligence, big data, data mining etc.]]>
Presentation from Prof. Dr. Armin Trost, Author, Consultant and Professor at Furtwangen University, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Human resource management in the 21st century will have little to do with what has been promoted in recent years or decades and written in the text-books. Instead of finding “the right people, at the right time and at the right place” we will make the employees and their individual preferences, talents, life plans, and ambitions the focus of attention. We will say goodbye to mechanistic, technocratic, and often bureaucratic approaches. They fit in a past that was stable and predictable. If you regard your employees as your most valuable asset, you will give them freedom, trust, and responsibility. Moreover you will appreciate individuality and individual life-plans. Human resources management will therefore deal less with hierarchical processes, systems, responsibilities, KPIs, etc., in the future. Rather, it will be about how to empower teams to think on their own responsibility, communicate, collaborate, learn, and develop their talent in the long term. HR-Technology will be there to make the life of managers and employees easier instead of supporting the HR-function only. For instance, in the area of recruiting all this will lead to a more intense usage of social networks, artificial intelligence, big data, data mining etc.]]> Mon, 06 Jun 2016 13:44:04 GMT /Textkernel/the-agile-future-of-hr-and-talent-acquisition-prof-dr-armin-trost Textkernel@slideshare.net(Textkernel) The Agile Future of HR and Talent Acquisition - Prof. Dr. Armin Trost Textkernel Presentation from Prof. Dr. Armin Trost, Author, Consultant and Professor at Furtwangen University, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Human resource management in the 21st century will have little to do with what has been promoted in recent years or decades and written in the text-books. Instead of finding “the right people, at the right time and at the right place” we will make the employees and their individual preferences, talents, life plans, and ambitions the focus of attention. We will say goodbye to mechanistic, technocratic, and often bureaucratic approaches. They fit in a past that was stable and predictable. If you regard your employees as your most valuable asset, you will give them freedom, trust, and responsibility. Moreover you will appreciate individuality and individual life-plans. Human resources management will therefore deal less with hierarchical processes, systems, responsibilities, KPIs, etc., in the future. Rather, it will be about how to empower teams to think on their own responsibility, communicate, collaborate, learn, and develop their talent in the long term. HR-Technology will be there to make the life of managers and employees easier instead of supporting the HR-function only. For instance, in the area of recruiting all this will lead to a more intense usage of social networks, artificial intelligence, big data, data mining etc. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/defarmintrost2016-06-02texterkerneltrost-160606134404-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation from Prof. Dr. Armin Trost, Author, Consultant and Professor at Furtwangen University, at Textkernel's Intelligent Machines and the Future of Recruitment on June 2nd in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Human resource management in the 21st century will have little to do with what has been promoted in recent years or decades and written in the text-books. Instead of finding “the right people, at the right time and at the right place” we will make the employees and their individual preferences, talents, life plans, and ambitions the focus of attention. We will say goodbye to mechanistic, technocratic, and often bureaucratic approaches. They fit in a past that was stable and predictable. If you regard your employees as your most valuable asset, you will give them freedom, trust, and responsibility. Moreover you will appreciate individuality and individual life-plans. Human resources management will therefore deal less with hierarchical processes, systems, responsibilities, KPIs, etc., in the future. Rather, it will be about how to empower teams to think on their own responsibility, communicate, collaborate, learn, and develop their talent in the long term. HR-Technology will be there to make the life of managers and employees easier instead of supporting the HR-function only. For instance, in the area of recruiting all this will lead to a more intense usage of social networks, artificial intelligence, big data, data mining etc.

The Agile Future of HR and Talent Acquisition - Prof. Dr. Armin Trost from Textkernel

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0 Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions - Abdel Tefridj, Chief Innovation Officer for CareerBuilder /slideshow/set-the-hiring-managers-expectations-using-big-data-to-answer-big-questions-abdel-tefridj-chief-innovation-officer-for-careerbuilder/62770678 abdel-textkernelconferencemay16final4-3-160606134208
Presentation by Abdel Tefridj at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. Abdel shares some client scenarios when data was the key element in the decision making process for recruitment challenges. You can become a better partner with hiring managers when they are informed about the latest trends in the marketplace using supply, demand and compensation data. Learn how to use big data to make you a stronger leader and contributor.]]>
Presentation by Abdel Tefridj at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. Abdel shares some client scenarios when data was the key element in the decision making process for recruitment challenges. You can become a better partner with hiring managers when they are informed about the latest trends in the marketplace using supply, demand and compensation data. Learn how to use big data to make you a stronger leader and contributor.]]> Mon, 06 Jun 2016 13:42:08 GMT /slideshow/set-the-hiring-managers-expectations-using-big-data-to-answer-big-questions-abdel-tefridj-chief-innovation-officer-for-careerbuilder/62770678 Textkernel@slideshare.net(Textkernel) Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions - Abdel Tefridj, Chief Innovation Officer for CareerBuilder Textkernel Presentation by Abdel Tefridj at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. Abdel shares some client scenarios when data was the key element in the decision making process for recruitment challenges. You can become a better partner with hiring managers when they are informed about the latest trends in the marketplace using supply, demand and compensation data. Learn how to use big data to make you a stronger leader and contributor. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/abdel-textkernelconferencemay16final4-3-160606134208-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Abdel Tefridj at Textkernel's Conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. Abdel shares some client scenarios when data was the key element in the decision making process for recruitment challenges. You can become a better partner with hiring managers when they are informed about the latest trends in the marketplace using supply, demand and compensation data. Learn how to use big data to make you a stronger leader and contributor.

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions - Abdel Tefridj, Chief Innovation Officer for CareerBuilder from Textkernel

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0 Human > Machine Interface - The future of HR | Perry Timms, Founder & Director - PTHR /slideshow/human-machine-interface-the-future-of-hr-perry-timms-founder-director-pthr/62770256 human-machineinterface-textkerneljune2016ptimms-160606133009
Presentation by Perry Timms at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. With a spotlight on AI; VR/AR; robotics, automation, machine learning and quantum computing, what does this mean for the world of work, jobs and human endeavour? More so, what does it mean to the technophobia often present in HR? There’s a thought that HR doesn’t even really get the technology that’s being used now and is having a profound effect on where, when and how people are working. And no, self-service cloud-based HR systems doesn’t mean the profession is anywhere near to being tech savvy. That’s low level labour realignment and marginal process improvement. My fear - as an HR professional aware of and experimenting with technology constantly - is that my profession is already WAY BEHIND the curve so how will HR practitioners cope with the latest array of digital disruption? Join me in finding out how I believe we can upgrade HR’s thinking and doing for the digital age of work.]]>
Presentation by Perry Timms at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. With a spotlight on AI; VR/AR; robotics, automation, machine learning and quantum computing, what does this mean for the world of work, jobs and human endeavour? More so, what does it mean to the technophobia often present in HR? There’s a thought that HR doesn’t even really get the technology that’s being used now and is having a profound effect on where, when and how people are working. And no, self-service cloud-based HR systems doesn’t mean the profession is anywhere near to being tech savvy. That’s low level labour realignment and marginal process improvement. My fear - as an HR professional aware of and experimenting with technology constantly - is that my profession is already WAY BEHIND the curve so how will HR practitioners cope with the latest array of digital disruption? Join me in finding out how I believe we can upgrade HR’s thinking and doing for the digital age of work.]]> Mon, 06 Jun 2016 13:30:09 GMT /slideshow/human-machine-interface-the-future-of-hr-perry-timms-founder-director-pthr/62770256 Textkernel@slideshare.net(Textkernel) Human > Machine Interface - The future of HR | Perry Timms, Founder & Director - PTHR Textkernel Presentation by Perry Timms at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. With a spotlight on AI; VR/AR; robotics, automation, machine learning and quantum computing, what does this mean for the world of work, jobs and human endeavour? More so, what does it mean to the technophobia often present in HR? There’s a thought that HR doesn’t even really get the technology that’s being used now and is having a profound effect on where, when and how people are working. And no, self-service cloud-based HR systems doesn’t mean the profession is anywhere near to being tech savvy. That’s low level labour realignment and marginal process improvement. My fear - as an HR professional aware of and experimenting with technology constantly - is that my profession is already WAY BEHIND the curve so how will HR practitioners cope with the latest array of digital disruption? Join me in finding out how I believe we can upgrade HR’s thinking and doing for the digital age of work. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/human-machineinterface-textkerneljune2016ptimms-160606133009-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Perry Timms at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June 2016 in Amsterdam. With a spotlight on AI; VR/AR; robotics, automation, machine learning and quantum computing, what does this mean for the world of work, jobs and human endeavour? More so, what does it mean to the technophobia often present in HR? There’s a thought that HR doesn’t even really get the technology that’s being used now and is having a profound effect on where, when and how people are working. And no, self-service cloud-based HR systems doesn’t mean the profession is anywhere near to being tech savvy. That’s low level labour realignment and marginal process improvement. My fear - as an HR professional aware of and experimenting with technology constantly - is that my profession is already WAY BEHIND the curve so how will HR practitioners cope with the latest array of digital disruption? Join me in finding out how I believe we can upgrade HR’s thinking and doing for the digital age of work.

Human > Machine Interface - The future of HR | Perry Timms, Founder & Director - PTHR from Textkernel

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0 Ton Sluiter: Breaking Barriers and Leveraging Data /slideshow/ton-sluiter-presentation-textkernel-congress-2-june-2016-rv/62770184 dizmr1n7rhmc87rkbcyq-signature-8827b8bcac746786516eb7e9a3a7b139162715b1fdecade15c8dbb10072f0778-poli-160606132804
Ton Sluiter's presentation at Textkernel's conference Intelligent Machines and the Future of Recruitment that took place on 2 June 2016 at the Beurs van Berlage in Amsterdam. In this presentation Ton Sluiter discusses the way CV Search! from Textkernel has contributed to make the candidate databases of Star Brands and USG People accessible to one another. Furthermore, he takes a look at the extra insights USG People has gained from the parsed CVs. ]]>
Ton Sluiter's presentation at Textkernel's conference Intelligent Machines and the Future of Recruitment that took place on 2 June 2016 at the Beurs van Berlage in Amsterdam. In this presentation Ton Sluiter discusses the way CV Search! from Textkernel has contributed to make the candidate databases of Star Brands and USG People accessible to one another. Furthermore, he takes a look at the extra insights USG People has gained from the parsed CVs. ]]> Mon, 06 Jun 2016 13:28:04 GMT /slideshow/ton-sluiter-presentation-textkernel-congress-2-june-2016-rv/62770184 Textkernel@slideshare.net(Textkernel) Ton Sluiter: Breaking Barriers and Leveraging Data Textkernel Ton Sluiter's presentation at Textkernel's conference Intelligent Machines and the Future of Recruitment that took place on 2 June 2016 at the Beurs van Berlage in Amsterdam. In this presentation Ton Sluiter discusses the way CV Search! from Textkernel has contributed to make the candidate databases of Star Brands and USG People accessible to one another. Furthermore, he takes a look at the extra insights USG People has gained from the parsed CVs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dizmr1n7rhmc87rkbcyq-signature-8827b8bcac746786516eb7e9a3a7b139162715b1fdecade15c8dbb10072f0778-poli-160606132804-thumbnail.jpg?width=120&height=120&fit=bounds" /> Ton Sluiter's presentation at Textkernel's conference Intelligent Machines and the Future of Recruitment that took place on 2 June 2016 at the Beurs van Berlage in Amsterdam. In this presentation Ton Sluiter discusses the way CV Search! from Textkernel has contributed to make the candidate databases of Star Brands and USG People accessible to one another. Furthermore, he takes a look at the extra insights USG People has gained from the parsed CVs.

Ton Sluiter: Breaking Barriers and Leveraging Data from Textkernel

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0 How semantic search changes recruitment - Glen Cathey /slideshow/how-semantic-search-changes-recruitment-glen-cathey/62770101 howsemanticsearchchangesrecruitmentv2-160606132550
Presentation by Glen Cathey, SVP Talent Strategy and Innovation at Kforce, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June at the Beurs van Berlage in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Without semantic search, recruiters searching for potential candidates only see a fraction of available and relevant results and unknowingly exclude qualified candidates unless they understand and employ advanced methods of manual information retrieval. In this keynote, Glen Cathey will explain how semantic search has specifically impacted recruitment today and how further advancements will impact recruitment in the future.]]>
Presentation by Glen Cathey, SVP Talent Strategy and Innovation at Kforce, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June at the Beurs van Berlage in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Without semantic search, recruiters searching for potential candidates only see a fraction of available and relevant results and unknowingly exclude qualified candidates unless they understand and employ advanced methods of manual information retrieval. In this keynote, Glen Cathey will explain how semantic search has specifically impacted recruitment today and how further advancements will impact recruitment in the future.]]> Mon, 06 Jun 2016 13:25:50 GMT /slideshow/how-semantic-search-changes-recruitment-glen-cathey/62770101 Textkernel@slideshare.net(Textkernel) How semantic search changes recruitment - Glen Cathey Textkernel Presentation by Glen Cathey, SVP Talent Strategy and Innovation at Kforce, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June at the Beurs van Berlage in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Without semantic search, recruiters searching for potential candidates only see a fraction of available and relevant results and unknowingly exclude qualified candidates unless they understand and employ advanced methods of manual information retrieval. In this keynote, Glen Cathey will explain how semantic search has specifically impacted recruitment today and how further advancements will impact recruitment in the future. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howsemanticsearchchangesrecruitmentv2-160606132550-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Glen Cathey, SVP Talent Strategy and Innovation at Kforce, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June at the Beurs van Berlage in Amsterdam. At the end of this slide deck, you can also find the YouTube recording. Without semantic search, recruiters searching for potential candidates only see a fraction of available and relevant results and unknowingly exclude qualified candidates unless they understand and employ advanced methods of manual information retrieval. In this keynote, Glen Cathey will explain how semantic search has specifically impacted recruitment today and how further advancements will impact recruitment in the future.

How semantic search changes recruitment - Glen Cathey from Textkernel

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0 The Role of Public Innovation and the Impact of Technology on Employment - Reynald Chapuis, Director Innovations at Pôle Emploi /slideshow/reynald-chapuis-director-innovations-at-ple-emploi/62769934 widereynaldchapuis-160606132112
Presentation by Reynald CHAPUIS, Director of innovation and Corporate Social Responsibility at Pôle Emploi, at Textkernel's conference Intelligent Machines and the Future of Recruitment that was held on 2 June 2016 at the Beurs van Berlage in Amsterdam. Reynald Chapuis presents Pôle emploi, a key player in the French Public Employment Service, and its innovation system through multiple and collaborative platforms. He presents 3 case studies on how Pôle emploi uses data, artificial intelligence and machine learning for the benefit of job advisors and jobseekers.]]>
Presentation by Reynald CHAPUIS, Director of innovation and Corporate Social Responsibility at Pôle Emploi, at Textkernel's conference Intelligent Machines and the Future of Recruitment that was held on 2 June 2016 at the Beurs van Berlage in Amsterdam. Reynald Chapuis presents Pôle emploi, a key player in the French Public Employment Service, and its innovation system through multiple and collaborative platforms. He presents 3 case studies on how Pôle emploi uses data, artificial intelligence and machine learning for the benefit of job advisors and jobseekers.]]> Mon, 06 Jun 2016 13:21:12 GMT /slideshow/reynald-chapuis-director-innovations-at-ple-emploi/62769934 Textkernel@slideshare.net(Textkernel) The Role of Public Innovation and the Impact of Technology on Employment - Reynald Chapuis, Director Innovations at Pôle Emploi Textkernel Presentation by Reynald CHAPUIS, Director of innovation and Corporate Social Responsibility at Pôle Emploi, at Textkernel's conference Intelligent Machines and the Future of Recruitment that was held on 2 June 2016 at the Beurs van Berlage in Amsterdam. Reynald Chapuis presents Pôle emploi, a key player in the French Public Employment Service, and its innovation system through multiple and collaborative platforms. He presents 3 case studies on how Pôle emploi uses data, artificial intelligence and machine learning for the benefit of job advisors and jobseekers. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/widereynaldchapuis-160606132112-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation by Reynald CHAPUIS, Director of innovation and Corporate Social Responsibility at Pôle Emploi, at Textkernel's conference Intelligent Machines and the Future of Recruitment that was held on 2 June 2016 at the Beurs van Berlage in Amsterdam. Reynald Chapuis presents Pôle emploi, a key player in the French Public Employment Service, and its innovation system through multiple and collaborative platforms. He presents 3 case studies on how Pôle emploi uses data, artificial intelligence and machine learning for the benefit of job advisors and jobseekers.

The Role of Public Innovation and the Impact of Technology on Employment - Reynald Chapuis, Director Innovations at P担le Emploi from Textkernel

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0 It’s all about Technology... oh wait! It’s not - Balazs Paroczay /slideshow/its-all-about-technology-oh-wait-its-not-balazs-paroczay/62769913 textkernelitsallabouttechnologybalazsparoczayv4-160606132034
Presentation from Balazs Paroczay, Head of Recruiting Strategy and Innovations, Randstad Sourceright EMEA, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. Due to digital technology revolution, sourcing for good candidates is basically not a challenge anymore. There are search plugins but also productivity tools, document and data-grabbing, parsing and matching, email verification, image search and soon-coming face recognition applications, click-rate or any-other-type data analytics softwares (trillions of them!), and it looks like the core competitive advantage of a top sourcer is solely on his toolkit nowadays. This is however a trap, I believe, and we definitely need to avoid to let technology ultimately drive our thinking when building a sourcing function. During my session I will share how we have embedded technology within Randstad Sourceright’s EMEA Sourcing Centre. How we made choices on when and when not to buy tech and where the human part is proved to be a still greater asset than any other tools or techs on the market.]]>
Presentation from Balazs Paroczay, Head of Recruiting Strategy and Innovations, Randstad Sourceright EMEA, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. Due to digital technology revolution, sourcing for good candidates is basically not a challenge anymore. There are search plugins but also productivity tools, document and data-grabbing, parsing and matching, email verification, image search and soon-coming face recognition applications, click-rate or any-other-type data analytics softwares (trillions of them!), and it looks like the core competitive advantage of a top sourcer is solely on his toolkit nowadays. This is however a trap, I believe, and we definitely need to avoid to let technology ultimately drive our thinking when building a sourcing function. During my session I will share how we have embedded technology within Randstad Sourceright’s EMEA Sourcing Centre. How we made choices on when and when not to buy tech and where the human part is proved to be a still greater asset than any other tools or techs on the market.]]> Mon, 06 Jun 2016 13:20:34 GMT /slideshow/its-all-about-technology-oh-wait-its-not-balazs-paroczay/62769913 Textkernel@slideshare.net(Textkernel) It’s all about Technology... oh wait! It’s not - Balazs Paroczay Textkernel Presentation from Balazs Paroczay, Head of Recruiting Strategy and Innovations, Randstad Sourceright EMEA, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. Due to digital technology revolution, sourcing for good candidates is basically not a challenge anymore. There are search plugins but also productivity tools, document and data-grabbing, parsing and matching, email verification, image search and soon-coming face recognition applications, click-rate or any-other-type data analytics softwares (trillions of them!), and it looks like the core competitive advantage of a top sourcer is solely on his toolkit nowadays. This is however a trap, I believe, and we definitely need to avoid to let technology ultimately drive our thinking when building a sourcing function. During my session I will share how we have embedded technology within Randstad Sourceright’s EMEA Sourcing Centre. How we made choices on when and when not to buy tech and where the human part is proved to be a still greater asset than any other tools or techs on the market. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/textkernelitsallabouttechnologybalazsparoczayv4-160606132034-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation from Balazs Paroczay, Head of Recruiting Strategy and Innovations, Randstad Sourceright EMEA, at Textkernel's conference Intelligent Machines and the Future of Recruitment on 2 June in Amsterdam. Due to digital technology revolution, sourcing for good candidates is basically not a challenge anymore. There are search plugins but also productivity tools, document and data-grabbing, parsing and matching, email verification, image search and soon-coming face recognition applications, click-rate or any-other-type data analytics softwares (trillions of them!), and it looks like the core competitive advantage of a top sourcer is solely on his toolkit nowadays. This is however a trap, I believe, and we definitely need to avoid to let technology ultimately drive our thinking when building a sourcing function. During my session I will share how we have embedded technology within Randstad Sourceright’s EMEA Sourcing Centre. How we made choices on when and when not to buy tech and where the human part is proved to be a still greater asset than any other tools or techs on the market.

It’s all about Technology... oh wait! It’s not - Balazs Paroczay from Textkernel

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0 Intuition's Fall from Grace - Algorithms and Data in (Pre)-Selection by Colin Lee /slideshow/intuitions-fall-from-grace-algorithms-and-data-in-preselection-by-dr-colin-lee/62763447 160602intuitionsfallfromgrace-160606100730
On 2 June during Textkernel's conference Intelligent Machines and the Future of Recruitment, Colin Lee presented his work on the automated preselection of applicants. For this research he used data from Connexys from 441,768 applicants at 48 companies, in combination with Textkernel parsing and normalization, to develop an algorithm that predicts which applicants get invited to a job interview. Colin explains the logic behind his approach and discusses potential future applications.]]>
On 2 June during Textkernel's conference Intelligent Machines and the Future of Recruitment, Colin Lee presented his work on the automated preselection of applicants. For this research he used data from Connexys from 441,768 applicants at 48 companies, in combination with Textkernel parsing and normalization, to develop an algorithm that predicts which applicants get invited to a job interview. Colin explains the logic behind his approach and discusses potential future applications.]]> Mon, 06 Jun 2016 10:07:30 GMT /slideshow/intuitions-fall-from-grace-algorithms-and-data-in-preselection-by-dr-colin-lee/62763447 Textkernel@slideshare.net(Textkernel) Intuition's Fall from Grace - Algorithms and Data in (Pre)-Selection by Colin Lee Textkernel On 2 June during Textkernel's conference Intelligent Machines and the Future of Recruitment, Colin Lee presented his work on the automated preselection of applicants. For this research he used data from Connexys from 441,768 applicants at 48 companies, in combination with Textkernel parsing and normalization, to develop an algorithm that predicts which applicants get invited to a job interview. Colin explains the logic behind his approach and discusses potential future applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/160602intuitionsfallfromgrace-160606100730-thumbnail.jpg?width=120&height=120&fit=bounds" /> On 2 June during Textkernel's conference Intelligent Machines and the Future of Recruitment, Colin Lee presented his work on the automated preselection of applicants. For this research he used data from Connexys from 441,768 applicants at 48 companies, in combination with Textkernel parsing and normalization, to develop an algorithm that predicts which applicants get invited to a job interview. Colin explains the logic behind his approach and discusses potential future applications.

Intuition's Fall from Grace - Algorithms and Data in (Pre)-Selection by Colin Lee from Textkernel

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0 Uw database als waardevolle sourcing tool /slideshow/uw-database-als-waardevolle-sourcing-tool/60900524 presentatieemerceversie2-160414071142
Maak van je kandidaten-database je meest waardevolle sourcing tool Je kandidaten-database is een waardevolle sourcing tool. Beperkte zoekopties in recruitmentsystemen zorgen ervoor dat de database niet optimaal gebruikt wordt. Ontdek hoe je de waarde van je recruitmentsysteem maximaal kunt benutten. Aan de hand van praktijkcases laat Gerard Mulder, CCO bij Textkernel, zien hoe semantische technologie je bestaande database kan omzetten in een efficiënte sourcing tool, door: - meer sollicitaties met een gebruiksvriendelijk sollicitatieproces - krachtige semantische zoeksoftware - automatische aanbevelingen van matchende kandidaten op je vacatures. Over Gerard Mulder Als commercieel directeur sinds 2005 heeft Gerard Mulder Textkernel helpen opbouwen tot een succesvolle internationale onderneming. Gerard heeft passie voor recruitment-innovatie en technologie. Hij begrijpt de behoeften in de veranderende markt en samen met het team creëren ze technologie voor de toekomst van global recruiting.]]>
Maak van je kandidaten-database je meest waardevolle sourcing tool Je kandidaten-database is een waardevolle sourcing tool. Beperkte zoekopties in recruitmentsystemen zorgen ervoor dat de database niet optimaal gebruikt wordt. Ontdek hoe je de waarde van je recruitmentsysteem maximaal kunt benutten. Aan de hand van praktijkcases laat Gerard Mulder, CCO bij Textkernel, zien hoe semantische technologie je bestaande database kan omzetten in een efficiënte sourcing tool, door: - meer sollicitaties met een gebruiksvriendelijk sollicitatieproces - krachtige semantische zoeksoftware - automatische aanbevelingen van matchende kandidaten op je vacatures. Over Gerard Mulder Als commercieel directeur sinds 2005 heeft Gerard Mulder Textkernel helpen opbouwen tot een succesvolle internationale onderneming. Gerard heeft passie voor recruitment-innovatie en technologie. Hij begrijpt de behoeften in de veranderende markt en samen met het team creëren ze technologie voor de toekomst van global recruiting.]]> Thu, 14 Apr 2016 07:11:41 GMT /slideshow/uw-database-als-waardevolle-sourcing-tool/60900524 Textkernel@slideshare.net(Textkernel) Uw database als waardevolle sourcing tool Textkernel Maak van je kandidaten-database je meest waardevolle sourcing tool Je kandidaten-database is een waardevolle sourcing tool. Beperkte zoekopties in recruitmentsystemen zorgen ervoor dat de database niet optimaal gebruikt wordt. Ontdek hoe je de waarde van je recruitmentsysteem maximaal kunt benutten. Aan de hand van praktijkcases laat Gerard Mulder, CCO bij Textkernel, zien hoe semantische technologie je bestaande database kan omzetten in een efficiënte sourcing tool, door: - meer sollicitaties met een gebruiksvriendelijk sollicitatieproces - krachtige semantische zoeksoftware - automatische aanbevelingen van matchende kandidaten op je vacatures. Over Gerard Mulder Als commercieel directeur sinds 2005 heeft Gerard Mulder Textkernel helpen opbouwen tot een succesvolle internationale onderneming. Gerard heeft passie voor recruitment-innovatie en technologie. Hij begrijpt de behoeften in de veranderende markt en samen met het team creëren ze technologie voor de toekomst van global recruiting. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentatieemerceversie2-160414071142-thumbnail.jpg?width=120&height=120&fit=bounds" /> Maak van je kandidaten-database je meest waardevolle sourcing tool Je kandidaten-database is een waardevolle sourcing tool. Beperkte zoekopties in recruitmentsystemen zorgen ervoor dat de database niet optimaal gebruikt wordt. Ontdek hoe je de waarde van je recruitmentsysteem maximaal kunt benutten. Aan de hand van praktijkcases laat Gerard Mulder, CCO bij Textkernel, zien hoe semantische technologie je bestaande database kan omzetten in een efficiënte sourcing tool, door: - meer sollicitaties met een gebruiksvriendelijk sollicitatieproces - krachtige semantische zoeksoftware - automatische aanbevelingen van matchende kandidaten op je vacatures. Over Gerard Mulder Als commercieel directeur sinds 2005 heeft Gerard Mulder Textkernel helpen opbouwen tot een succesvolle internationale onderneming. Gerard heeft passie voor recruitment-innovatie en technologie. Hij begrijpt de behoeften in de veranderende markt en samen met het team creëren ze technologie voor de toekomst van global recruiting.

Uw database als waardevolle sourcing tool from Textkernel

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0 Textkernel Talks - Neo4j usage in Textkernel /slideshow/textkernel-talks-neo4j-usage-in-textkernel/56009468 textkerneltalks-neo4jusageintextkernel-151210102156
by Alexey Shevchenko, PHP developer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the joint event with GraphDB Meetup on Wednesday 9 December. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. ]]>
by Alexey Shevchenko, PHP developer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the joint event with GraphDB Meetup on Wednesday 9 December. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. ]]> Thu, 10 Dec 2015 10:21:56 GMT /slideshow/textkernel-talks-neo4j-usage-in-textkernel/56009468 Textkernel@slideshare.net(Textkernel) Textkernel Talks - Neo4j usage in Textkernel Textkernel by Alexey Shevchenko, PHP developer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the joint event with GraphDB Meetup on Wednesday 9 December. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/textkerneltalks-neo4jusageintextkernel-151210102156-thumbnail.jpg?width=120&height=120&fit=bounds" /> by Alexey Shevchenko, PHP developer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the joint event with GraphDB Meetup on Wednesday 9 December. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl.

Textkernel Talks - Neo4j usage in Textkernel from Textkernel

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0 Innovatie en de Candidate Experience (Textkernel) - Recruitment Innovation Event /slideshow/innovatie-en-de-candidate-experience-textkernel-recruitment-innovation-event/53879770 recruitmentinnovationeventpresentation-slideshare-151013141935-lva1-app6891
Dit is de presentatie van Gerard Mulder van Textkernel over Innovatie en de Candidate Experience op het Recruitment Innovation Event op 12 oktober 2015 van Recruiters United.]]>
Dit is de presentatie van Gerard Mulder van Textkernel over Innovatie en de Candidate Experience op het Recruitment Innovation Event op 12 oktober 2015 van Recruiters United.]]> Tue, 13 Oct 2015 14:19:35 GMT /slideshow/innovatie-en-de-candidate-experience-textkernel-recruitment-innovation-event/53879770 Textkernel@slideshare.net(Textkernel) Innovatie en de Candidate Experience (Textkernel) - Recruitment Innovation Event Textkernel Dit is de presentatie van Gerard Mulder van Textkernel over Innovatie en de Candidate Experience op het Recruitment Innovation Event op 12 oktober 2015 van Recruiters United. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/recruitmentinnovationeventpresentation-slideshare-151013141935-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> Dit is de presentatie van Gerard Mulder van Textkernel over Innovatie en de Candidate Experience op het Recruitment Innovation Event op 12 oktober 2015 van Recruiters United.

Innovatie en de Candidate Experience (Textkernel) - Recruitment Innovation Event from Textkernel

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0 Textkernel talks - introduction to Textkernel /slideshow/textkernel-talks-introduction-to-textkernel/52414774 textkerneltalks-150904091505-lva1-app6891
by Darko Zelić, Software Engineer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the first event on Thursday 3 September. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. ]]>
by Darko Zelić, Software Engineer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the first event on Thursday 3 September. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. ]]> Fri, 04 Sep 2015 09:15:05 GMT /slideshow/textkernel-talks-introduction-to-textkernel/52414774 Textkernel@slideshare.net(Textkernel) Textkernel talks - introduction to Textkernel Textkernel by Darko Zelić, Software Engineer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the first event on Thursday 3 September. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/textkerneltalks-150904091505-lva1-app6891-thumbnail.jpg?width=120&height=120&fit=bounds" /> by Darko Zelić, Software Engineer at Textkernel. Textkernel organises monthly Textkernel Talks; technical and practical presentations from research and industry specialists. Topics can include Topics involve NLP, IR, Deep Learning, Semantic Search, LTR and more. This presentation was held at the first event on Thursday 3 September. Join the Textkernel Talks meetup group (http://www.meetup.com/textkernel-talks/) to stay informed of all events. Ideas for meetup events at Textkernel? Contact us via talks@textkernel.nl.

Textkernel talks - introduction to Textkernel from Textkernel

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0 https://cdn.slidesharecdn.com/profile-photo-Textkernel-48x48.jpg?cb=1587099101 Textkernel specialises in semantic recruitment technology providing multi-lingual cv parsing, job parsing and semantic searching, sourcing and matching software, to help accelerate the process of matching demand and supply in the job market. The company was founded in 2001 as a private commercial R&D spin-off of research in natural language processing and machine learning at the universities of Tilburg, Antwerp and Amsterdam. Textkernel now operates internationally as one of the market leaders in its segment. Our software benefits e-recruiting, mobility, job boards, enterprise companies, staffing companies, recruitment agencies and recruitment software vendors. www.textkernel.com https://cdn.slidesharecdn.com/ss_thumbnails/textkernelemerceerecruitment2017gm-170412085302-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/textkernel-emerce-erecruitment-6-april-2017-74926387/74926387 Textkernel Emerce eRec... https://cdn.slidesharecdn.com/ss_thumbnails/dl4nlp-160919091917-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/practical-deep-learning-for-nlp/66161177 Practical Deep Learnin... https://cdn.slidesharecdn.com/ss_thumbnails/widebillaireality-160608071604-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-reality-where-are-we-now-data-for-good-bill-boorman/62841490 AI Reality: Where are ...