Autor: Stefan Klemens

Stefan Klemens arbeitet als People & Digital HR Analyst und gründete Schorberg Analytics 2022. Der Diplom-Psychologe und ausgebildete Bankkaufmann ist seit 2006 im Human Resource Management mit dem Schwerpunkt Online-Assessment, Online-Befragung sowie Arbeit, Gesundheit und Persönlichkeit tätig. Zuvor war er Mitarbeiter an der Bergischen Universität Wuppertal im Fachbereich Arbeits- und Organisationspsychologie und Angestellter bei der Stadtsparkasse Düsseldorf. Seit 2020 fokussiert er sich auf People Analytics, Data Science und Künstliche Intelligenz. Weiter ist er Gründer und Administrator der LinkedIn-Gruppe "Wirtschaftspsychologie Region Düsseldorf" (bis 2022 auf XING). Eines seiner Hauptanliegen ist die Verbindung von Zahlen und Statistik mit Intuition und Heuristik für bestmögliche Entscheidungen im Human Resource Management.

Kategorien
Artificial Intelligence

How do I find the right AI tool? 10 search engines will help!

Image created with DALL·E 3

Dear visitor!

The number of AI tools is growing exponentially as you know if you are following AI newsletters, AI newsblogs and articles, and AI-related posts on LinkedIn.

Which makes it hard to keep an overview and find a solution that could be better for your demands than standard-choice ChatGPT (although it is still one of the best). As a result there are now special search engines for AI software.

For this newsblog article I have collected ten AI search engines – And, as my focus is on human resource management, I tested the directories on the term “Human Resources” and put the numbers of the resulting AI HR tools in parentheses. Some tools offered a category on this term too, while others as you can see list just few ones.

So here is my list on 10 AI search engines in alphabetical order (number of HR tools):

AI Library: 2,150+ tools and colabs (1 HR)
https://library.phygital.plus/

AI Search: 13,088+ tools (23 HR)
https://ai-search.io

AI Tool Directory: no numbers on tools (32 HR)
https://tooldirectory.ai/

AI Tool Hunt: Best Free AI Tools (30 HR)
https://www.aitoolhunt.com

AI Tools Arena: no numbers on tools (6 HR)
https://aitoolsarena.com

AllthingsAI: no numbers on tools (25 HR)
https://allthingsai.com

Find My AI Tool: 1,500 tools (26 HR)
https://findmyaitool.com

Futurepedia: 5,748 tools (12 HR)
https://www.futurepedia.io

There’s An AI For That: 12,757 tools (56 HR)
https://theresanaiforthat.com

Toolify: 10,723 tools (321+ HR)
https://www.toolify.ai

So, there you have a bunch of search engines: Test them on what kind of AI tool you are looking for, and compare their results. This search engines on AI tools provide more or less further functions like categories and several filters, so you can fine tune your AI search.

And as the results above suggest, it is a good idea to start with “There’s An AI For That”, “AI Tool Director”, or the other four which follow close. Toolify is a special case: Although it shows a very high number of AI HR tools, there is no category “Human Resources”. Instead we find there the two HR-related categories “AI Recruiting” and “AI Interview Assistant”, and AI tools regarding further HR topics like “Teams” among “Other > Other”.

And be aware of course: All this special AI HR tools that you will find can help you in your HR work, but as you know yourself, more general GenAI tools like ChatGPT can strongly support you as well – and even enable you to create your own HR AI tool!

I wish you a good week, and: Happy searching, and testing afterwards!

Stefan Klemens

PS: Want to exchange ideas on Human Resources, people analytics, digital assessment, or artificial intelligence in HRM? Then network, write a message and/or make an appointment for an online meeting. Or the classic way: phone call.

And: You like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Kategorien
Dokumentation

TV-Doku-Tipp: Schlaue neue Welt – Das KI-Wettrennen

Foto: DALL·E 3; Es zeigt konkurrierende KI-Modelle in einer futuristischen, digitalen Arena.

Lieber Gast!

Am 27. Februar 2024 lief in ARTE von 23:25 – 00:55 Uhr die Dokumentation “Schlaue neue Welt – Das KI-Wettrennen” von Dominik Bretsch von der Produktionsgesellschaft Weltrecorder mit Sitz in Berlin.

Inhalt der Dokumentation:

“Das Wettrennen um die Vorherrschaft im Zeitalter der Künstlichen Intelligenz läuft: zwischen den USA, China und Europa. Zwischen großen Tech-Konzernen und Start-ups. Wer gewinnt den Wettkampf? Wird Europa abgehängt? Und wer bestimmt über eine Technologie, von der die Zukunft der Menschheit geprägt sein wird?”

Quelle: Arte

Weitere Informationen zu “Schlaue neue Welt – Das KI-Wettrennen” gibt es hier auf der Produktionsseite von Weltrecorder.

Wer die Dokumentation (Dauer: 89 Minuten) verpasst hat (so wie ich), der kann diese in der Arte-Mediathek ansehen:

Bild: Arte (embedded)

https://www.arte.tv/de/videos/115067-000-A/schlaue-neue-welt-das-ki-wettrennen/

Hinweis: Da neben Arte zu den Auftraggebern auch RBB, SWR, Deutsche Welle gehören, wird diese TV-Dokumentation wahrscheinlich auch in der ARD und/oder in deren regionalen Sendern (dritten Programmen) ausgestrahlt werden.

Einen tollen Wochenstart!

Stefan Klemens

PS: Want to exchange ideas on Human Resources, people analytics, digital assessment, or artificial intelligence in HRM? Then network, write a message and/or make an appointment for an online meeting. Or the classic way: phone call.

And: You like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Kategorien
Books

21 Open Access Books on AI, Software, Robots & Business you can klick on – Part 2

Image: DALL·E inside OpenAI's ChatGPT-4 showing a colorful collection of textbooks about AI, data, robots & business.

Dear guest!

This is part 2 of my list with another 10 open access books on Artificial Intelligence, software, robots, business, and related fields.

Klick here for part 1 of my list with the first 11 entries introduced by a text about the importance of media like libraries, the World Wide Web, and the (open) access to data, information, and knowledge.

So enjoy, select, klick on, and read one ore more of the following books!

12) Software Engineering and Data Science (2023)

Editor: Tosi, Davide

Link: https://directory.doabooks.org/handle/20.500.12854/96748

13) Advancing Natural Language Processing in Educational Assessment (2023)

Authors: Yaneva, Victoria; von Davier, Matthias

Link: https://directory.doabooks.org/handle/20.500.12854/100384

14) Robots and AI (2023)

Authors: Ing, Lili Yan; Grossman, Gene M.

Link: https://directory.doabooks.org/handle/20.500.12854/82165

15) Artificial Intelligence and International Conflict in Cyberspace (2023)

Authors: Cristiano, Fabio; Broeders, Dennis; Delerue, François; Douzet, Frédérick; Géry, Aude

Link: https://directory.doabooks.org/handle/20.500.12854/99946

16) Emotion Recognition (2023)

Author: Abed Hosseini, Seyyed

Link: https://directory.doabooks.org/handle/20.500.12854/113472

17) Trends and Challenges in Robotic Applications(2023)

Authors: Gracia, Luis; Perez-Vidal, Carlos

Link: https://directory.doabooks.org/handle/20.500.12854/113962

18) The 2nd International Conference on Computational Engineering and Intelligent Systems (2023)

Authors: Recioui, Abdelmadjid; Bentarzi, Hamid; Dekhandji, Fatma

Link: https://directory.doabooks.org/handle/20.500.12854/113891

19) Intelligent Video Surveillance (2023)

Author: Luigi Mazzeo, Pier

Link: https://directory.doabooks.org/handle/20.500.12854/113204

20) Malware (2023)

Author: Babulak, Eduard

Link: https://directory.doabooks.org/handle/20.500.12854/113227

21) Internet of Things (2023)

Authors: Domínguez-Morales, Manuel; Varela-Vaca, Ángel; Miró-Amarante, Lourdes

Link: https://directory.doabooks.org/handle/20.500.12854/113202

I wish you a nice day!

Stefan Klemens

PS: Do you want to exchange ideas about human resource management, People Analytics, Digital Assessment, or Artificial Intelligence in HRM? Then network, send a message and/or schedule an online meeting. Or the classic way: a phone call.

And: Do you like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Kategorien
Books

21 Open Access Books about AI, Data, Robots & Business you can klick on – Part 1

Image: DALL·E inside OpenAI's ChatGPT-4 showing a colorful collection of textbooks about AI, data, robots & business.

Dear guest!

One thing we should remember: Thanks to the widespread and more public available libraries since the beginning of the print book at the start of the Renaissance until the spread of information through the World Wide Web since the 1991:

The access to knowledge has grown dramatically to almost anyone in the world and this stands in sharp contrast to the keeping of knowledge in secret and for a few selected people in the past. But thanks to technology like letterpress printing (credits of course in the west to Johannes G.) and the work of Tim Berners-Lee for the WWW: data, information, and knowledge is now in our Information Age at almost any place in the world and at any time available.

Which can be of course a challenge and leads sometimes even to internet addiction when digital detoxing is not done in time. But I am not an expert in Clinical Psychology, so turn to some other expertise in case of interest in this matter.

Book recommendations: Surely you find helpful insights on “how to stay smart in a smart world” in the same named book by renowned Gerd Gigerenzer (see also his new 2023 published book The Intelligence of Intuition for a deeper understanding of human decision making; Note: free access to Chapter 1).

In the last twenty years another trend emerged and the publication of research papers and textbooks by open access lowers sometimes expensive orders of magazines and textbooks by publishers. One great source for this is the Directory of Open Access Books (doab), which I used for the research on the theme of this newsblog article.

So enjoy, select, klick on, and read one ore more of the following books on Artificial Intelligence, software, robots, business, and related fields.

1) Business Data Ethics (2024)

Authors: Hirsch, Dennis; Bartley, Timothy; Chandrasekaran, Aravind; Norris, Davon; Parthasarathy, Srinivasan; Turner, Piers Norris

Link: https://directory.doabooks.org/handle/20.500.12854/131983

2) A Circular Built Environment in the Digital Age (2024)

Editors: De Wolf, Catherine; Çetin, Sultan; Bocken, Nancy M. P.

Link: https://directory.doabooks.org/handle/20.500.12854/133078

3) Introduction to Digital Humanism (2024)

Editors: Werthner, Hannes; Ghezzi, Carlo; Kramer, Jeff; Nida-Rümelin, Julian; Nuseibeh, Bashar; Prem, Erich; Stanger, Alliso

Link: https://directory.doabooks.org/handle/20.500.12854/133034

4) Internet of Production (2024)

Editors: Brecher, Christian;Schuh, Günther;van der Aalst, Wil; Jarke, Matthias; Piller, Frank T.; Padberg, Melanie

Link: https://directory.doabooks.org/handle/20.500.12854/133035

5) Multidisciplinary Perspectives on Artificial Intelligence and the Law (2024)

Editors: Sousa Antunes, Henrique; Freitas, Pedro Miguel; Oliveira, Arlindo L.; Martins Pereira, Clara; Vaz de Sequeira, Elsa; Barreto Xavier, Luís

Link: https://directory.doabooks.org/handle/20.500.12854/133041

6) Shaping the Future of IoT with Edge Intelligence (2024)

Editiors: C. Sofia, Rute & Soldatos, John

Link: https://directory.doabooks.org/handle/20.500.12854/122405

7) Global Digital Data Governance: Polycentric Perspectives (2024)

Editors: Aguerre, Carolina; Campbell-Verduyn, Malcolm; Scholte, Jan Aart

Link: https://directory.doabooks.org/handle/20.500.12854/132299

8) Real-Life Decision-Making (2024)

Authors: Danielson, Mats & Ekenberg, Love

Link: https://directory.doabooks.org/handle/20.500.12854/121574

9) Human-Centered AI (2024)

Editors: Régis, Catherine; Denis, Jean-Louis; Axente, Maria Luciana; Kishimoto, Atsuo

Link: https://directory.doabooks.org/handle/20.500.12854/133843

10) Stephanie Dinkins: On Love & Data (2024)

Author: Mitra, Srimoyee (editor)

Link: https://directory.doabooks.org/handle/20.500.12854/131332

11) Knowledge and Digital Technology (2024)

Editors: Glückler, Johannes& Panitz, Robert

Link: https://directory.doabooks.org/handle/20.500.12854/134115

Note: This is part 1 of my list with 11 entries. The second part will follow soon with 10 more open access books on the theme of this newsblog article. Stay tuned, connect and contact me for this and other exiticing stuff on technology, business, and human resource management!

I wish you a nice week!

Stefan Klemens

PS: Do you want to exchange ideas about human resource management, People Analytics, Digital Assessment, or Artificial Intelligence in HRM? Then network, send a message and/or schedule an online meeting. Or the classic way: a phone call.

And: Do you like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Kategorien
Event

Tip: German Data Science Days 2024

Image: DALL·E inside OpenAI's ChatGPT-4 showing a futuristic landscape of Munich.

Dear visitor!

In some of my recent newsblog articles (read those here and here) I collected 32 HR tech conferences and 13+1 HR & People Analytics Conferences.

And although this seems, with almost 50 conferences, as a collection covering many important data events, it cannot be complete of course (and I did not strive for it neither).

German Data Science Days 2024

Las friday I found another conference that might be of interest for you if you are working with data, statistics, and analytics – thus in the field of data science and in the case of HR data in HR & People Analytics (more or less HR data science, but this term is not used that often):

The German Data Science Days 2024.

Image: German Data Science Society (embedded)

The conference is dated March 7 – 8, 2024, and will take place at the Ludwig-Maximilians-Universität München (LMU Munich). It is organized by the German Data Science Society and has happened since 2018 (the society’s founding year) each year until 2023, which sums up to six conferences by now.

The 2024 conference includes topics and speakers like:

Alexander Haag, ERGO: “Navigating the fusion of AI generations in the insurance industry with ERGO’s AI Factory”

Monica Epple & Christian Pich, Swiss Re: “Navigating the future – How Swiss Re is unlocking data to drive innovation in reinsurance”

Jasmin Weimüller & Dr. Christoph Weisser, BASF: “How is BASF enabling its workforce to use generative AI & Co – Use cases and enablement” [Human Resources!]

Prof. Dr. Florian Stahl, Universität Mannheim: “The BERD data marketpace: A platform connecting companies, universities and research institutions and fostering the collaboration in research and innovation”

Michael Herter, infas 360: “Data Science für Städte und Kommunen”

Murat Topuz, Deutsche Bank: “Fighting financial crime with data analytics”

Karin Immenroth, RTL: “Mit KI in die datengetriebene Zukunft von RTL Deutschland”

Past Conferences 2018 – 2023

And if you look closely and open the pages of the past conferences form 2018 until 2023 you will not only find the programmes of these, but also the presentations (charts, slides) of almost all speakers as a PDF to download (and in one case as a Google Doc presentation).

Here are some sessions of past conferences:

Dr. Fabian Winter, Munich Re: “Data and Analytics at Munich Re” (2023)

Dr. Heide-Gesa Löhlein & Ibrahim Gökce, Telekom: “Personalization in Telecommunications: Mission Impossible?” (2023)

Christian Most, Lufthansa Group: “The Beauty of Complexity: Decision Support in Operations Steering” (2023)

Peter Mayer, Volkswagen AG: “Applying Computer Vision at Volkswagen Group IT” (2022)

Dr. Anca-Oxana Tudoran & Manuel Jockenhöfer, ProSiebenSat.1: “Data Science in the Media” (2022)

Ralph Müller-Eiselt, Bertelsmann Stiftung: „Wir und die Algorithmen – Beziehungsstatus: kompliziert” (2020)

Dr. Sebastian Fischer, Telekom Innovation Laboratories: „Lieber künstlich intelligent als natürlich dumm” (2020)

Dr. Urs Bergmann, Zalando: „Generative models in e-commerce” (2020)

Dominik Koch, Teradata: „The Data Scientists Survival Guide: 10 things that might save your next analytical project” (2020)

Dr. Stephanie Thiemichen, TÜV Süd: „Thinking outside of the box – building reliable and scalable data analytics products” (2020)

Final words

As said above you can find all sessions and many slides of the conferences 2018 bis 2023 on the website of the German Data Science Days. So check it out!

And remember: The next edition takes place in a couple of weeks in March 2024. So you may consider to visit this exiting data science event.

I wish you a pretty start in the new week!

Stefan Klemens

PS: Do you want to exchange ideas about human resource management, People Analytics, Digital Assessment, or Artificial Intelligence in HRM? Then network, send a message and/or schedule an online meeting. Or the classic way: a phone call.

And: Do you like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Kategorien
Human Resource Management

What kind of HR person are you?

Image: Stefan Klemens with the help of LibreOffice (Yeah! Open Source. :-))

Dear guest!

What kind of a HR person are you? (If you are one in the first place, if not, there are other funny, provoking or making-a-statement shirts for you as well like for data people, developers, …)

Well, whether you are into HR tech or not, you may feel like you are not like a regular Human Resources worker, but feel a little bit cooler (or colorful?). In this case I found today the shirt that probably suits your mindset – And you want to transmit it to the world:

Image: amazon.de (embedded)

https://www.amazon.de/nicht-normale-HR-cool-T-Shirt/dp/B0CLGZPTGX

Suggestion: Buy some for your HR department and organize your next HR party, barcamp or barbecue dressed with it. And no: I do not get a commission from Amazon in promoting this!

But hey, it is weekend and HR is fun, too! What do you think?

Cheers!

(Best read this post with a beer, glass of wine, or in case of preference for non alcoholic drinks with an exiting liquid of your choice :-))

Stefan Klemens

PS: Do you want to exchange ideas about human resource management, People Analytics, Digital Assessment, or Artificial Intelligence in HRM? Then network, send a message and/or schedule an online meeting. Or the classic way: a phone call.

And: Do you like my work and the content I regularly share? Then I’m happy about a Like or comment on LinkedIn. Thank you! 🙂 🙋‍♂️🌳

Credits for inspiration: A while a go I saw Daniel (DataDan) Mühlbauer 🤖🧭🧡🏳️‍🌈 with cool shirts (and caps and cups) on some pictures. So that is one source but surely there are more HR people like him with such clothing.