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

•Als PPTX, PDF herunterladen•

1 gefällt mir•1,254 views

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.
DATA FOR GOOD?
@BillBoorman – MD Innovation and Technology –
RecruitingDaily & #tru founder

THIS IS NOT ME

EMULATION
OR
INNOVATION?

BUILDING A SOURCING
MACHINE

ANALYTICAL BRAIN

ARTISTRY

DASHBOARD/FUNNEL
OVERLOAD

CUSTOMISATION

WORKFLOW

EDUCATION

PRIVACY BY DESIGN

COBOTS AND API’S

Weitere ähnliche Inhalte

Andere mochten auch

NLP

Deep learning for text analytics

Deep learning for text analytics

Deep learning for text analytics

NLP@Work Conference: email persuasion

NLP@Work Conference: email persuasion

NLP@Work Conference: email persuasion

Using Deep Learning And NLP To Predict Performance From Resumes

Using Deep Learning And NLP To Predict Performance From Resumes

Using Deep Learning And NLP To Predict Performance From Resumes

Benjamin Taylor

Deep Learning and Text Mining

Deep Learning and Text Mining

Deep Learning and Text Mining

Natural language processing (Python)

Natural language processing (Python)

Natural language processing (Python)

Natural Language Processing and Python

Natural Language Processing and Python

Natural Language Processing and Python

Classification Based Machine Learning Algorithms

Classification Based Machine Learning Algorithms

Classification Based Machine Learning Algorithms

Md. Main Uddin Rony

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

2017 salary guide

2017 salary guide

2017 salary guide

How hr can get a seat on the board

How hr can get a seat on the board

How hr can get a seat on the board

The HR Observer

Online algorithms in Machine Learning

Online algorithms in Machine Learning

Online algorithms in Machine Learning

Despite the growing abundance of powerful tools, building and deploying machine-learning frameworks into production continues to be major challenge, in both science and industry. I'll present some particular pain points and cautions for practitioners as well as recent work addressing some of the nagging issues. I advocate for a systems view, which, when expanded beyond the algorithms and codes to the organizational ecosystem, places some interesting constraints on the teams tasked with development and stewardship of ML products. About: Dr. Joshua Bloom is an astronomy professor at the University of California, Berkeley where he teaches high-energy astrophysics and Python for data scientists. He has published over 250 refereed articles largely on time-domain transients events and telescope/insight automation. His book on gamma-ray bursts, a technical introduction for physical scientists, was published recently by Princeton University Press. He is also co-founder and CTO of wise.io, a startup based in Berkeley. Josh has been awarded the Pierce Prize from the American Astronomical Society; he is also a former Sloan Fellow, Junior Fellow at the Harvard Society, and Hertz Foundation Fellow. He holds a PhD from Caltech and degrees from Harvard and Cambridge University.

PyData 2015 Keynote: "A Systems View of Machine Learning"

PyData 2015 Keynote: "A Systems View of Machine Learning"

PyData 2015 Keynote: "A Systems View of Machine Learning"

Big data analysis relies on exploiting various handy tools to gain insight from data easily. In this talk, the speaker demonstrates a data mining flow for text classification using many Python tools. The flow consists of feature extraction/selection, model training/tuning and evaluation. Various tools are used in the flow, including: Pandas for feature processing, scikit-learn for classification, IPython, Notebook for fast sketching, matplotlib for visualization.

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Machine Learning and Data Mining: 10 Introduction to Classification

Machine Learning and Data Mining: 10 Introduction to Classification

Machine Learning and Data Mining: 10 Introduction to Classification

Pier Luca Lanzi

Is this what the future of high-volume recruitment will look like? We hope so! Let's take a look at how AI can save high-volume recruitment. AI for recruiting is the application of artificially intelligent abilities such as learning or problem-solving designed to automate some part of the recruiting workflow. In 7 steps we take a look at the impact of AI technology on recruitment. Step 1: Your job posting receives receives hundreds of resumes which get collected by your ATS. On average, 75% of the candidates are unqualified. Step 2: AI recruitment in the form of automated resume screening technology instantly grades and shortlists the qualified 25% of candidates for you. Step 3: With a click of a button, you can set up interviews with qualified candidates using an auto-dialer, auto-texter, or auto-emailer. Step 4: AI recruitment in the form of a chatbot can help you engage with candidates by answering their questions about the job and providing them with feedback about their applications. Step 5: AI recruitment in the form of video interview technology uses algorithms to analyze candidates’ emotions, word choices, and personality traits to help you assess whether they’d be a good fit for the job. Step 6: You can interview candidates online in real time or watch pre-recorded interviews on your own time. With a click of a button, you can invite candidates to an in-person interview or hire them based on their video interview. Step 7: By automating or streamlining parts of your recruiting workflow, AI recruitment allows you to spend more of your valuable time engaging with candidates and partnering with hiring managers to make better hires, faster.

AI Recruitment: The Future of Automated Recruiting

AI Recruitment: The Future of Automated Recruiting

AI Recruitment: The Future of Automated Recruiting

Ideal | AI for Recruiting

Deep Learning with Python (PyData Seattle 2015)

Deep Learning with Python (PyData Seattle 2015)

Deep Learning with Python (PyData Seattle 2015)

Alexander Korbonits

5 Tips For Speeding Up Your Recruiting In 2017

5 Tips For Speeding Up Your Recruiting In 2017

5 Tips For Speeding Up Your Recruiting In 2017

Ideal | AI for Recruiting

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Márton Miháltz

Natural Language Processing (NLP) is often taught at the academic level from the perspective of computational linguists. However, as data scientists, we have a richer view of the world of natural language - unstructured data that by its very nature has important latent information for humans. NLP practitioners have benefitted from machine learning techniques to unlock meaning from large corpora, and in this class we’ll explore how to do that particularly with Python, the Natural Language Toolkit (NLTK), and to a lesser extent, the Gensim Library. NLTK is an excellent library for machine learning-based NLP, written in Python by experts from both academia and industry. Python allows you to create rich data applications rapidly, iterating on hypotheses. Gensim provides vector-based topic modeling, which is currently absent in both NLTK and Scikit-Learn. The combination of Python + NLTK means that you can easily add language-aware data products to your larger analytical workflows and applications.

Natural Language Processing with Python

Natural Language Processing with Python

Natural Language Processing with Python

Benjamin Bengfort

Andere mochten auch (20)

NLP

Deep learning for text analytics

Deep learning for text analytics

Deep learning for text analytics

NLP@Work Conference: email persuasion

NLP@Work Conference: email persuasion

NLP@Work Conference: email persuasion

Using Deep Learning And NLP To Predict Performance From Resumes

Using Deep Learning And NLP To Predict Performance From Resumes

Using Deep Learning And NLP To Predict Performance From Resumes

Deep Learning and Text Mining

Deep Learning and Text Mining

Deep Learning and Text Mining

Natural language processing (Python)

Natural language processing (Python)

Natural language processing (Python)

Natural Language Processing and Python

Natural Language Processing and Python

Natural Language Processing and Python

Classification Based Machine Learning Algorithms

Classification Based Machine Learning Algorithms

Classification Based Machine Learning Algorithms

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

Talent attractione attenzione ai candidati vincere con un prodotto integrato ...

2017 salary guide

2017 salary guide

2017 salary guide

How hr can get a seat on the board

How hr can get a seat on the board

How hr can get a seat on the board

Online algorithms in Machine Learning

Online algorithms in Machine Learning

Online algorithms in Machine Learning

PyData 2015 Keynote: "A Systems View of Machine Learning"

PyData 2015 Keynote: "A Systems View of Machine Learning"

PyData 2015 Keynote: "A Systems View of Machine Learning"

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...

Machine Learning and Data Mining: 10 Introduction to Classification

Machine Learning and Data Mining: 10 Introduction to Classification

Machine Learning and Data Mining: 10 Introduction to Classification

AI Recruitment: The Future of Automated Recruiting

AI Recruitment: The Future of Automated Recruiting

AI Recruitment: The Future of Automated Recruiting

Deep Learning with Python (PyData Seattle 2015)

Deep Learning with Python (PyData Seattle 2015)

Deep Learning with Python (PyData Seattle 2015)

5 Tips For Speeding Up Your Recruiting In 2017

5 Tips For Speeding Up Your Recruiting In 2017

5 Tips For Speeding Up Your Recruiting In 2017

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Deep Learning Architectures for NLP (Hungarian NLP Meetup 2016-09-07)

Natural Language Processing with Python

Natural Language Processing with Python

Natural Language Processing with Python

Mehr von 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.

Textkernel Emerce eRecruitment - 6 april 2017

Textkernel Emerce eRecruitment - 6 april 2017

Textkernel Emerce eRecruitment - 6 april 2017

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

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

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

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...

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...

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

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

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

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

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

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

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: Labour Market driven Learning Analytics

Dr. Gábor Kismihók: Labour Market driven Learning Analytics

Dr. Gábor Kismihók: Labour Market driven Learning Analytics

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

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

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

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...

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...

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 & Directo...

Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...

Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...

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

Ton Sluiter: Breaking Barriers and Leveraging Data

Ton Sluiter: Breaking Barriers and Leveraging Data

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

How semantic search changes recruitment - Glen Cathey

How semantic search changes recruitment - Glen Cathey

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 - Re...

The Role of Public Innovation and the Impact of Technology on Employment - Re...

The Role of Public Innovation and the Impact of Technology on Employment - Re...

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

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

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

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

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

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

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

Textkernel talks - introduction to Textkernel

Textkernel talks - introduction to Textkernel

Het aantal vacatures in het eerste kwartaal van 2015 is met 19% gestegen. Dat blijkt uit cijfers van Jobfeed, de Big Data tool voor vacatures van Textkernel, die alle online vacatures geplaatst in Q1 2015 heeft verzameld, ontdubbeld en gecategoriseerd. In dit rapport vindt u de analyse van de vacaturedata in het eerst kwartaal van 2015. Het rapport bevat cijfers over vacaturedata, vacatures per beroepsklasse, branche, opleidingsniveau en provincie. Voor meer informatie, bezoek www.jobfeed.nl.

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Op donderdagavond 5 maart vond in Gent de officiële en exclusieve voorstelling van Jobfeed België plaats. Jobfeed, de toonaangevende Big Data tool voor vacatures is nu, na Nederland, Duitsland en Frankrijk ook beschikbaar in België. In 2003 startte Textkernel met het samenvoegen van vacature-informatie voor matching- en analysedoeleinden onder het label “Jobfeed”. Inmiddels is Textkernel marktleider in dit domein in Nederland en is Jobfeed gaan uitbreiden naar andere Europese landen zoals Duitsland, Frankrijk en nu ook in België. De voorstelling van Jobfeed België werd georganiseerd door HRLinkIT en Textkernel. http://hrlinkit.be/ http://www.textkernel.nl/

Presentatie Jobfeed België

Presentatie Jobfeed België

Presentatie Jobfeed België

Deze presentatie is gegeven tijdens het webinar: Vacatures in Nederland door Kim Pieschel (Jobfeed/Textkernel) en Jacco Valkenburg (Recruit2). Met de statistieken van Jobfeed en de kennis van Jacco worden inzichten gegeven in de Nederlandse vacaturemarkt. + Wat zijn de grootste beroepsklassen en branches + Welke organisaties hebben de meeste vacatures + Wat zijn de grootste vacaturesites + Hoe kiezen recruiters vacaturesites + Waar komen sollicitanten vandaan + Wat zijn succesvolle wervingskanalen Voor meer informatie, neem contact op Kim Pieschel: pieschel@textkernel.nl, http://www.jobfeed.nl/home.php Jacco Valkenburg, jacco@recruit2.com http://www.recruitingroundtable.nl/

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Textkernel - Recruiting Innovation Day München (DE)

Textkernel - Recruiting Innovation Day München (DE)

Textkernel - Recruiting Innovation Day München (DE)

Mehr von Textkernel (20)

Textkernel Emerce eRecruitment - 6 april 2017

Textkernel Emerce eRecruitment - 6 april 2017

Textkernel Emerce eRecruitment - 6 april 2017

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

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

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

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...

Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...

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

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

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

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

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

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

Dr. Gábor Kismihók: Labour Market driven Learning Analytics

Dr. Gábor Kismihók: Labour Market driven Learning Analytics

Dr. Gábor Kismihók: Labour Market driven Learning Analytics

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

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

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

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...

Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...

Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...

Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...

Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...

Ton Sluiter: Breaking Barriers and Leveraging Data

Ton Sluiter: Breaking Barriers and Leveraging Data

Ton Sluiter: Breaking Barriers and Leveraging Data

How semantic search changes recruitment - Glen Cathey

How semantic search changes recruitment - Glen Cathey

How semantic search changes recruitment - Glen Cathey

The Role of Public Innovation and the Impact of Technology on Employment - Re...

The Role of Public Innovation and the Impact of Technology on Employment - Re...

The Role of Public Innovation and the Impact of Technology on Employment - Re...

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

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

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

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

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

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

Textkernel talks - introduction to Textkernel

Textkernel talks - introduction to Textkernel

Textkernel talks - introduction to Textkernel

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Etat des lieux de l'offre d'emploi en ligne - Q1 2015

Presentatie Jobfeed België

Presentatie Jobfeed België

Presentatie Jobfeed België

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Webinar: Vacatures in Nederland (Jobfeed & Jacco Valkenburg)

Textkernel - Recruiting Innovation Day München (DE)

Textkernel - Recruiting Innovation Day München (DE)

Textkernel - Recruiting Innovation Day München (DE)

Kürzlich hochgeladen

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Khushali Kathiriya

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

johnbeverley2021

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

[BuildWithAI] Introduction to Gemini.pdf

[BuildWithAI] Introduction to Gemini.pdf

[BuildWithAI] Introduction to Gemini.pdf

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Accelerating FinTech Innovation: Unleashing API Economy and GenAI Vasa Krishnan, Chief Technology Officer - FinResults Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

Discover the innovative features and strategic vision that keep WSO2 an industry leader. Explore the exciting 2024 roadmap of WSO2 API management, showcasing innovations, unified APIM/APK control plane, natural language API interaction, and cloud native agility. Discover how open source solutions, microservices architecture, and cloud native technologies unlock seamless API management in today's dynamic landscapes. Leave with a clear blueprint to revolutionize your API journey and achieve industry success!

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows. We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases. This video focuses on the deployment of external web forms using Jotform for Bonterra Impact Management. This solution can be customized to your organization’s needs and deployed to support the common use cases below: - Intake and consent - Assessments - Surveys - Applications - Program registration Interested in deploying web form automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Jeffrey Haguewood

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Remote DBA Services

Kürzlich hochgeladen (20)

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

Artificial Intelligence Chap.5 : Uncertainty

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

presentation ICT roal in 21st century education

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Boost Fertility New Invention Ups Success Rates.pdf

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

Six Myths about Ontologies: The Basics of Formal Ontology

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

[BuildWithAI] Introduction to Gemini.pdf

[BuildWithAI] Introduction to Gemini.pdf

[BuildWithAI] Introduction to Gemini.pdf

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

MS Copilot expands with MS Graph connectors

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

How to Troubleshoot Apps for the Modern Connected Worker

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

WSO2's API Vision: Unifying Control, Empowering Developers

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

Understanding the FAA Part 107 License ..

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Exploring Multimodal Embeddings with Milvus

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

Vector Search -An Introduction in Oracle Database 23ai.pptx

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

1. AI REALITY. DATA FOR GOOD? @BillBoorman – MD Innovation and Technology – RecruitingDaily & #tru founder

2. THIS IS NOT ME

3. EMULATION OR INNOVATION?

4. BUILDING A SOURCING MACHINE

5. ANALYTICAL BRAIN

7. DASHBOARD/FUNNEL OVERLOAD

8. CUSTOMISATION

11. PRIVACY BY DESIGN

12. COBOTS AND API’S