This presentation of Textkernel was shown at HR Tech Europe.
Textkernel develops multilingual recruitment technology to optimise the process of matching people and jobs.
Textkernel presents multilingual cv parsing, semantic search and intelligent match software.
For more information visit www.textkernel.com
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
This Presentation covers data mining, data mining techniques,
data analysis, data mining subtypes, uses of data mining, sources of data for mining, privacy concerns.
6 use cases of machine learning in Finance Swathi Young
The use of Artificial Intelligence and Machine learning is increasingly adopted in multiple industries. Question is, does a regulated industry like Finance adopt AI/ML? the answer is a huge YES! Here we take a look at 6 different use cases:
* Chatbots
* RoboAdvisors
* Risk scoring
* Fraud Detection
* Insurance claims
* Underwriting
* regulatory compliance
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
AI and the Researcher: ChatGPT and DALL-E in Scholarly Writing and PublishingErin Owens
The artificial intelligence tool ChatGPT has taken the world by storm, prompting concerns about student plagiarism. But A.I. text and image generators also pose ethical and legal conundrums for scholarly researchers. This session will delve into some of the emerging issues and developments that may affect faculty in scholarly writing and publishing.
GenerativeAI and Automation - IEEE ACSOS 2023.pptxAllen Chan
Generative AI has been rapidly evolving, enabling different and more sophisticated interactions with Large Language Models (LLMs) like those available in IBM watsonx.ai or Meta Llama2. In this session, we will take a use case based approach to look at how we can leverage LLMs together with existing automation technologies like Workflow, Content Management, and Decisions to enable new solutions.
Artificial Intelligence High Technology PowerPoint Presentation Slides Comple...SlideTeam
Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck combines state-of-the-art design with insightful info. This PPT template deck helps you express every important aspect of machine intelligence. Showcase definition, types, use cases, trends, application, and present situation of AI. Employ our PowerPoint theme to elucidate the differences between AI, machine learning, and deep learning. Our PPT layout designers incorporate cutting-edge diagrams, and graphics to simplify complex data and season bland content. Illustrate the application, selection method, significance, function, use cases, challenges, and limitations of machine learning. Also, walk your audience through ML algorithms, decision tree algorithm learning, and differences between traditional programming and machine learning. Offer a complete overview of deep learning including the process, application, limitations, and significance through this comprehensive PowerPoint presentation. Highlight reinforcement learning, classification of neural networks, deep learning networks, feed-forward neural networks, recurrent neural networks, and convolutional neural networks. You will also find data on supervised and unsupervised machine learning, back propagation, and AI expert systems. Smash the download icon to personalize. Our Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3oaWpPz
I delivered a talk on application of Artificial Intelligence in Fintech to the visiting students of University of Applied Sciences, Wurzburg-Schweinfurt, Germany at Christ University
This Presentation covers data mining, data mining techniques,
data analysis, data mining subtypes, uses of data mining, sources of data for mining, privacy concerns.
6 use cases of machine learning in Finance Swathi Young
The use of Artificial Intelligence and Machine learning is increasingly adopted in multiple industries. Question is, does a regulated industry like Finance adopt AI/ML? the answer is a huge YES! Here we take a look at 6 different use cases:
* Chatbots
* RoboAdvisors
* Risk scoring
* Fraud Detection
* Insurance claims
* Underwriting
* regulatory compliance
An Elementary Introduction to Artificial Intelligence, Data Science and Machi...Dozie Agbo
This presentation is a friendly introduction to Artificial Intelligence, Data Science and Machine Learning. It touches on the beginnings of AI, the steps involved in Data Science, the roles involving operations on data, and the buzz around "Technology Singularity".
It ends by looking at tools and system requirements for people who might want to start a career in AI.
Have fun exploring Artificial Intelligence!
AI and the Researcher: ChatGPT and DALL-E in Scholarly Writing and PublishingErin Owens
The artificial intelligence tool ChatGPT has taken the world by storm, prompting concerns about student plagiarism. But A.I. text and image generators also pose ethical and legal conundrums for scholarly researchers. This session will delve into some of the emerging issues and developments that may affect faculty in scholarly writing and publishing.
GenerativeAI and Automation - IEEE ACSOS 2023.pptxAllen Chan
Generative AI has been rapidly evolving, enabling different and more sophisticated interactions with Large Language Models (LLMs) like those available in IBM watsonx.ai or Meta Llama2. In this session, we will take a use case based approach to look at how we can leverage LLMs together with existing automation technologies like Workflow, Content Management, and Decisions to enable new solutions.
Artificial Intelligence High Technology PowerPoint Presentation Slides Comple...SlideTeam
Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck combines state-of-the-art design with insightful info. This PPT template deck helps you express every important aspect of machine intelligence. Showcase definition, types, use cases, trends, application, and present situation of AI. Employ our PowerPoint theme to elucidate the differences between AI, machine learning, and deep learning. Our PPT layout designers incorporate cutting-edge diagrams, and graphics to simplify complex data and season bland content. Illustrate the application, selection method, significance, function, use cases, challenges, and limitations of machine learning. Also, walk your audience through ML algorithms, decision tree algorithm learning, and differences between traditional programming and machine learning. Offer a complete overview of deep learning including the process, application, limitations, and significance through this comprehensive PowerPoint presentation. Highlight reinforcement learning, classification of neural networks, deep learning networks, feed-forward neural networks, recurrent neural networks, and convolutional neural networks. You will also find data on supervised and unsupervised machine learning, back propagation, and AI expert systems. Smash the download icon to personalize. Our Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3oaWpPz
Artificial Intelligence For Digital Transformation PowerPoint Presentation Sl...SlideTeam
Presenting this set of slides with name - Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. This PPT deck displays eighteen slides with in depth research. Our topic oriented Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Micro case studies on AI in media and journalism ranging from financial publications using algorithms to write earnings reports to investigative reporters analyzing large data sets to outlets determining the distribution of news on social media and more.
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
The World Wide Web (Web) is a popular and interactive medium to disseminate information today.
The Web is huge, diverse, and dynamic and thus raises the scalability, multi-media data, and temporal issues respectively.
AI and robotics are facilitating the automation of a growing number of “doing” tasks. Today’s AI-enabled, information-rich tools are increasingly able to handle jobs that in the past have been exclusively done by people, for example, tax returns, language translations, accounting, even some types of surgery. It has been reported that about 60 percent of all occupations have at least 30 percent of activities that are technically automatable, based on currently demonstrated technologies. This means that most occupations will change, and more people will have to work with technology.
Text analytics in Python and R with examples from Tobacco ControlBen Healey
Ben has been doing data sciencey work since 1999 for organisations in the banking, retailing, health and education industries. He is currently on contracts with Pharmac and Aspire2025 (a Tobacco Control research collaboration) where, happily, he gets to use his data-wrangling powers for good.
This presentation focuses on analysing text, with Tobacco Control as the context. Examples include monitoring mentions of NZ's smokefree goal by politicians and examining media uptake of BATNZ's Agree/Disagree PR campaign. It covers common obstacles during data extraction, cleaning and analysis, along with the key Python and R packages you can use to help clear them.
Artificial Intelligence For Digital Transformation PowerPoint Presentation Sl...SlideTeam
Presenting this set of slides with name - Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. This PPT deck displays eighteen slides with in depth research. Our topic oriented Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Artificial Intelligence For Digital Transformation Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Micro case studies on AI in media and journalism ranging from financial publications using algorithms to write earnings reports to investigative reporters analyzing large data sets to outlets determining the distribution of news on social media and more.
Career Prospects and Scope of Data Science in Indiaachaljain11
Data Science refers to the theories, collective processes, concepts, technologies and tools that help to analyze, review and extract key information from raw data.
In today’s business terms, data science is all about using the raw data to make better decisions and generate business value.
Today, I will be presenting on the topic of
"Generative AI, responsible innovation, and the law."
Artificial Intelligence has been making rapid strides in recent years,
and its applications are becoming increasingly diverse.
Generative AI, in particular, has emerged as a promising area of innovation, the potential to create highly realistic and compelling outputs.
The World Wide Web (Web) is a popular and interactive medium to disseminate information today.
The Web is huge, diverse, and dynamic and thus raises the scalability, multi-media data, and temporal issues respectively.
AI and robotics are facilitating the automation of a growing number of “doing” tasks. Today’s AI-enabled, information-rich tools are increasingly able to handle jobs that in the past have been exclusively done by people, for example, tax returns, language translations, accounting, even some types of surgery. It has been reported that about 60 percent of all occupations have at least 30 percent of activities that are technically automatable, based on currently demonstrated technologies. This means that most occupations will change, and more people will have to work with technology.
Text analytics in Python and R with examples from Tobacco ControlBen Healey
Ben has been doing data sciencey work since 1999 for organisations in the banking, retailing, health and education industries. He is currently on contracts with Pharmac and Aspire2025 (a Tobacco Control research collaboration) where, happily, he gets to use his data-wrangling powers for good.
This presentation focuses on analysing text, with Tobacco Control as the context. Examples include monitoring mentions of NZ's smokefree goal by politicians and examining media uptake of BATNZ's Agree/Disagree PR campaign. It covers common obstacles during data extraction, cleaning and analysis, along with the key Python and R packages you can use to help clear them.
Text Classification in Python – using Pandas, scikit-learn, IPython Notebook ...Jimmy Lai
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.
Textkernel talks - introduction to TextkernelTextkernel
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.
This is the presentation used at the Webinar: Product-presentation Search! 2.1 by Gerard Mulder of Textkernel.
Search! is the semantic recruiting tool of Textkernel that makes it easier to find the perfect candidate, either in your own database or in external sources.
This presentation contains screen shots of some of the new features such as:
- Auto-suggestions
- Saving projects, searches and results
- Creating e-mail alerts
For more information visit www.textkernel.com
SmartRecruiters webinar presentation from August 21, 2013. Slides include an overview of the new Sourcing Tab feature that allows customers to get data insights into their hiring activity, specifically around where their best candidates are being sourced from.
Introduction to enterprise search for intranets and websitesKristian Norling
An introduction to Enterprise Search. A two hour course to introduce Enterprise Search by Kristian Norling. This is a class I love to do, so if you have interest in it for on premise/in-house class or at a conference or such, please contact me.
The course covers:
- Problems for enterprise search to solve.
- Web Search
- How we search and find?
- Current state of Enterprise Search, including stats
- Technical concept
- Information quality and metadata
- Feedback cycle
- Five dimensions of Findability
Introduction to Enterprise Search. A two hour class to introduce Enterprise Search. It covers:
The problems enterprise search can solve
History of (web) search
How we search and find?
Current state of Enterprise Search + stats
Technical concept
Information quality
Feedback cycle
Five dimensions of Findability
Marketing Automation: Key insights from a Best in Show lead generation campai...MarketingSherpa
In marketing, generating leads is only as good as the process that caters to them. The complex decision making process can easily turn traditional batch and blast techniques into a clumsy and inefficient strategy.
In this webinar, join Daniel Burstein, Director of Editorial Content, MECLABS, and Byron O'Dell, Senior Director of Demand Management, IHS, as they show you:
• How to overcome three key challenges to craft campaigns that are targeted and triggered
• How the IHS team generated a 1,112% higher clickthrough rate
• A culture change toward a true content flow
• An inside look at how IHS customized the campaign to accommodate up to seven buyer personas for a more personal messaging strategy
This campaign earned a Best in Show award for Lead Generation in MarketingSherpa Email Awards 2014, presented by ExactTarget.
Hiring Hacks: How Squarespace Actively Engages and Sources Engineers GreenhouseSoftware
In our Hiring Hacks webinar, Technical Recruiter/Sourcerer/Level 2 Super Genius, Steven Wood at Squarespace dives into different techniques that will make engineers interested in learning more about your company. Hear the full webinar recording here: bit.ly/1RtjKoQ
This is the presentation I gave at the 2012 CIPD Exhibition in Manchester. If you would like a copy of the notes or have any questions then please email me.
This content is from a recent webinar we held which was an interactive session on the best ways to use key features of LinkedIn, and get the answers you need to become a more effective and efficient user.
Topics covered:
Focus on active candidates - get active candidate search techniques, InMail strategies that work, and tips on how to best pipeline talent for 2016.
Enhanced Jobs Page - understand how personal insights for job seekers will drive more qualified candidates for your open positions.
SharePoint Engage Phoenix 2017
Our SharePoint environment is a lot like many others – a SharePoint 2007 implementation that was used more as a file dump than a collaboration space. With minimal user adoption, we were never quite ready to implement 2010, with a pilot SharePoint 2010 implementation stalled out of the gate.
In the meantime, some content was put on Box and other services to address external collaboration needs. Business users needed more relevant search results, content databases had grown uncomfortably large, and access controls had become spaghetti. Fortunately, site sprawl wasn’t too bad… except that the reason for that was the low adoption.
SharePoint 2013 arrived to a perfect storm – business and technology needs to be addressed, content that needs to be brought back in-house, and user adoption that needs to be improved. Time to upgrade!
See how we approached the upgrade, the issues than needed to be addressed, and the questions that needed to be answered.
II-SDV 2016 Aleksandar Kapisoda, Klaus Kater - Deep Web SearchDr. Haxel Consult
Boehringer Ingelheim has been developing dedicated Life Science SEARCHCORPORA for startups, scientific literature and news tracking based on the Web Data Analysis platform Deep SEARCH 9.
Using the Deep SEARCH 9 approach, Boehringer Ingelheim is capable of tapping directly any web resources like online websites data bases, web sites or news feeds.
Use case 1: SEARCHCORPUS® for life science startups:
We find startup information we could not find in public search engines.
Use case 2: Life science news SEARCHCORPUS®:
100s of incoming mails and alerts are processed every day and websites and articles behind the news tags are crawled automatically.
The purpose of these applications is that Scientists can subscribe to the services to have compilations of results of personalized deep searches sent to them automatically or that they can alternatively use faceted search on the life science SEARCHCORPORA interactively.
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.
AI Reality: Where are we now? Data for Good? - Bill BoormanTextkernel
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.
Robots Will Steal Your Job but That's OK - Federico PistonoTextkernel
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.
Semantic Interoperability in the Labour Market - Martin le Vrang, Team leader...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.
Pablo de Pedraza: Labor market matching, economic cycle and online vacanciesTextkernel
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.
New Developments in Machine Learning - Prof. Dr. Max WellingTextkernel
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.
Dr. Gábor Kismihók: Labour Market driven Learning AnalyticsTextkernel
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.
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.
Set the Hiring Managers’ Expectations: Using Big Data to answer Big Questions...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.
Human > Machine Interface - The future of HR | Perry Timms, Founder & Directo...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.
Ton Sluiter: Breaking Barriers and Leveraging DataTextkernel
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.
How semantic search changes recruitment - Glen CatheyTextkernel
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.
The Role of Public Innovation and the Impact of Technology on Employment - Re...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.
It’s all about Technology... oh wait! It’s not - Balazs ParoczayTextkernel
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.
Intuition's Fall from Grace - Algorithms and Data in (Pre)-Selection by Colin...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.
Uw database als waardevolle sourcing toolTextkernel
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.
Textkernel Talks - Neo4j usage in TextkernelTextkernel
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.
Innovatie en de Candidate Experience (Textkernel) - Recruitment Innovation EventTextkernel
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.
Jobfeed rapport: De Nederlandse online arbeidsmarkt in Q1 2015Textkernel
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.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
6. Textkernel simplifies finding the right
candidates by creating:
• an optimal candidate experience
• more applicants
• better internal promotion of employees
7. Textkernel simplifies finding the right
candidates by:
• creating an optimal candidate experience
• receiving more applications
• better internal promotion of employees
• intuitive searching, qualitative matching and
quickly finding.
24. Search!
• User-friendly interface
• Simultaneously searching your multiple
databases and social media
• Quickly and easily adding external profiles to
you database
37. Jobfeed
• Generate sales leads
(recruiters and job boards)
• Quickly find the right job offers for your clients
(mobility/outplacement/reintegration)
38. Jobfeed
• Generate sales leads
(recruiters and job boards)
• Quickly find the right job offers for your clients
(mobility / outplacement / reintegration)
• Discover trends and collect labor market
information (analysts)
40. New: Jobfeed & Match!
Found an interesting job in Jobfeed?
41. New: Jobfeed & Match!
You can now directly match a vacancy from
Jobfeed to your database
42.
43. Harvester
Have all job ads collected from your
customer‘s website and published
automatically into your job board
44. Textkernel – das Unternehmen
• Founded in 2001 with currently 40 employees
45. Textkernel – das Unternehmen
• Founded in 2001 with currently 40 employees
• R&D spin-off from research in Natural Language Processing and
Machine Learning at the Universities of Tilburg, Antwerp and
Amsterdam
46. Textkernel – das Unternehmen
• Founded in 2001 with currently 40 employees
• R&D spin-off from research in Natural Language Processing and
Machine Learning at the Universities of Tilburg, Antwerp and
Amsterdam
• Specialised in information extraction, web mining and semantic
searching & matching in the HR industry
47. Textkernel – das Unternehmen
• Founded in 2001 with currently 40 employees
• R&D spin-off from research in Natural Language Processing and
Machine Learning at the Universities of Tilburg, Antwerp and
Amsterdam
• Specialised in information extraction, web mining and semantic
searching & matching in the HR industry
• Customers such as Bosch, Akzo Nobel, Adecco, Monster, Society,
Vattenvall