SlideShare a Scribd company logo
Why you need to become a
Tech Sourcer (Even if you don’t source IT roles)
Presented by Iker Jusue – June 2018
Introduction
Hypothesis: Every Sourcer needs to become, at least a
bit, more Technical.
This means:
Tech Savvy.
Aware of New Tech Trends.
Not a Tech Expert / Developer.
Why?
Performance of information systems.
Vendor management and implementation.
@IkerJR - about.me/ikerjusue
Introduction
Will
robots
steal our
jobs??
@IkerJR - about.me/ikerjusue
@IkerJR - about.me/ikerjusue
Tech to be followed
ML, AI & Blockchain concepts and applications
AI / ML
Artificial Intelligence
• Since 1956.
• Contrast to Natural Intelligence.
• Intelligent Agents:
• Perceiving & taking actions.
• Mimicking cognitive functions.
Machine Learning
• Since 1959.
• Sub-field of AI.
• Construction of algorithms
• Predictive analytics.
• Uncover hidden insights.
• Learning from:
• Historical relationships.
• Trends in data.
• Sentiment Analysis & NLP.
@IkerJR - about.me/ikerjusue
AI / ML
@IkerJR - about.me/ikerjusue
IBM Watson (since 2006)
• Open Domain Question Answering
system.
• Advanced Natural Language Processing.
• Information retrieval.
• Knowledge representation.
• Automated reasoning.
• Tech: Java/C++/Hadoop/SUSE Linux
• Applications:
• Engagement Advisor. Predictions.
Forecast.
"The goal is to have computers start to
interact in natural human terms (…)
understanding the questions that
humans ask..“ Source: IBM Watson
Website
IBM Watson
Talent
The Recruitment product built on
IBM Watson
@IkerJR - about.me/ikerjusue
AI / ML
@IkerJR - about.me/ikerjusue
RAI by HiringSolved • AI Sourcing Assistant
• Since 2016
• Advanced Natural Language
Processing.
@IkerJR - about.me/ikerjusue
RAI by
HiringSolved
Blockchain
Definition
• Invented in 2008.
• Decentralized, distributed and (often) public.
• P2P network.
• Chain of blocks with:
• Cryptographic hash of the previous block.
• Timestamp.
• Transaction data.
• Applications:
• Record management.
• Identity management.
• Transaction processing.
@IkerJR - about.me/ikerjusue
Blockchain
@IkerJR - about.me/ikerjusue
Jobeum
Blockchain
@IkerJR - about.me/ikerjusue
Dock.io
What can be done
Some examples of useful stuff that can work for you right now.
What can be done
Tools and resources
• Automation -> Hootsuite, IFTT,
Zapier.
• Phantom Buster / Blockspring (API)
• Event lists (Postman).
• Scraping (Data Miner).
• Bookmarklets.
• Python Scripts.
@IkerJR - about.me/ikerjusue
What can be
done
Event lists hacking
Aaron Lintz (@aaronlintz)
http://bit.ly/ALintzAttendeeList
@IkerJR - about.me/ikerjusue
What can be
done
Bookmarklets
Glenn Gutmacher (@gutmach)
http://bit.ly/GlennGutmacherBook
marklets
@IkerJR - about.me/ikerjusue
What can be
done
Python Scripts for
Sourcing
Tom Ordonez (@tomordonez)
http://bit.ly/TomOrdonezPythonScripts
@IkerJR - about.me/ikerjusue
Where to start
Ok, that’s cool but… How I do that?
Where to start
Learning Platforms
• Codeacademy / Sololearn
• Grasshoper
• Udacity / edX / Coursera
Facebook Groups
• Sourcers Who Code
• Data Miner User Community
• Growth Hacking Recruiters
@IkerJR - about.me/ikerjusue
@IkerJR - about.me/ikerjusue
Thoughts?

More Related Content

Similar to Why you need to become a Tech Sourcer (even if you don't hire for IT roles).

Presentation v3
Presentation v3Presentation v3
Presentation v3
Muhammad AL-Qurishi
 
Continuum Analytics and Python
Continuum Analytics and PythonContinuum Analytics and Python
Continuum Analytics and Python
Travis Oliphant
 
Bringing AI to Business Intelligence
Bringing AI to Business IntelligenceBringing AI to Business Intelligence
Bringing AI to Business Intelligence
Si Krishan
 
Iot and ai
Iot and aiIot and ai
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
Kalilur Rahman
 
Internet of Things - introduction
Internet of Things - introductionInternet of Things - introduction
Internet of Things - introduction
Lukasz Paciorkowski
 
AI in Manufacturing: Opportunities & Challenges
AI in Manufacturing: Opportunities & ChallengesAI in Manufacturing: Opportunities & Challenges
AI in Manufacturing: Opportunities & Challenges
Tathagat Varma
 
Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"
Diego Oppenheimer
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
Mykola Dobrochynskyy
 
Patterson Consulting: What is Artificial Intelligence?
Patterson Consulting: What is Artificial Intelligence?Patterson Consulting: What is Artificial Intelligence?
Patterson Consulting: What is Artificial Intelligence?
Josh Patterson
 
Decentralized AI for the Rest of Us
Decentralized AI for the Rest of UsDecentralized AI for the Rest of Us
Decentralized AI for the Rest of Us
Jesus Rodriguez
 
Data Analytics for IoT
Data Analytics for IoT Data Analytics for IoT
Data Analytics for IoT
Muralidhar Somisetty
 
OpenFest 2012 : Leveraging the public internet
OpenFest 2012 : Leveraging the public internetOpenFest 2012 : Leveraging the public internet
OpenFest 2012 : Leveraging the public internettkisason
 
Patents and AI: Current Tools, Future Solutions
Patents and AI: Current Tools, Future SolutionsPatents and AI: Current Tools, Future Solutions
Patents and AI: Current Tools, Future Solutions
Aurora Consulting
 
W1_Lec01_Lec02_Introduction.pptx
W1_Lec01_Lec02_Introduction.pptxW1_Lec01_Lec02_Introduction.pptx
W1_Lec01_Lec02_Introduction.pptx
Javaid Iqbal
 
Art of artificial intelligence and automation
Art of artificial intelligence and automationArt of artificial intelligence and automation
Art of artificial intelligence and automation
Liew Wei Da Andrew
 
Workshop_Presentation.pptx
Workshop_Presentation.pptxWorkshop_Presentation.pptx
Workshop_Presentation.pptx
RUDRAPRASADSABAR
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
Sathittham Sangthong
 
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
RudrakshAmar
 
When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!
Thammasat University, Musashino University
 

Similar to Why you need to become a Tech Sourcer (even if you don't hire for IT roles). (20)

Presentation v3
Presentation v3Presentation v3
Presentation v3
 
Continuum Analytics and Python
Continuum Analytics and PythonContinuum Analytics and Python
Continuum Analytics and Python
 
Bringing AI to Business Intelligence
Bringing AI to Business IntelligenceBringing AI to Business Intelligence
Bringing AI to Business Intelligence
 
Iot and ai
Iot and aiIot and ai
Iot and ai
 
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
Artificial Intelligence in testing - A STeP-IN Evening Talk Session Speech by...
 
Internet of Things - introduction
Internet of Things - introductionInternet of Things - introduction
Internet of Things - introduction
 
AI in Manufacturing: Opportunities & Challenges
AI in Manufacturing: Opportunities & ChallengesAI in Manufacturing: Opportunities & Challenges
AI in Manufacturing: Opportunities & Challenges
 
Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"Algorithm Marketplace and the new "Algorithm Economy"
Algorithm Marketplace and the new "Algorithm Economy"
 
Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine LearningArtificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning
 
Patterson Consulting: What is Artificial Intelligence?
Patterson Consulting: What is Artificial Intelligence?Patterson Consulting: What is Artificial Intelligence?
Patterson Consulting: What is Artificial Intelligence?
 
Decentralized AI for the Rest of Us
Decentralized AI for the Rest of UsDecentralized AI for the Rest of Us
Decentralized AI for the Rest of Us
 
Data Analytics for IoT
Data Analytics for IoT Data Analytics for IoT
Data Analytics for IoT
 
OpenFest 2012 : Leveraging the public internet
OpenFest 2012 : Leveraging the public internetOpenFest 2012 : Leveraging the public internet
OpenFest 2012 : Leveraging the public internet
 
Patents and AI: Current Tools, Future Solutions
Patents and AI: Current Tools, Future SolutionsPatents and AI: Current Tools, Future Solutions
Patents and AI: Current Tools, Future Solutions
 
W1_Lec01_Lec02_Introduction.pptx
W1_Lec01_Lec02_Introduction.pptxW1_Lec01_Lec02_Introduction.pptx
W1_Lec01_Lec02_Introduction.pptx
 
Art of artificial intelligence and automation
Art of artificial intelligence and automationArt of artificial intelligence and automation
Art of artificial intelligence and automation
 
Workshop_Presentation.pptx
Workshop_Presentation.pptxWorkshop_Presentation.pptx
Workshop_Presentation.pptx
 
Introduction to AI
Introduction to AIIntroduction to AI
Introduction to AI
 
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
AI in 6 Hours this pdf contains a general idea of how AI will be asked in the...
 
When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!When AI becomes a data-driven machine, and digital is everywhere!
When AI becomes a data-driven machine, and digital is everywhere!
 

More from Iker Jusue

How to Hack your Sourcing Career
How to Hack your Sourcing CareerHow to Hack your Sourcing Career
How to Hack your Sourcing Career
Iker Jusue
 
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold SourcersIker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
Iker Jusue
 
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
Iker Jusue
 
Iker Jusue - SOSUV 2020 presentation - Why Sourcing Still Matters
Iker Jusue  - SOSUV 2020 presentation - Why Sourcing Still MattersIker Jusue  - SOSUV 2020 presentation - Why Sourcing Still Matters
Iker Jusue - SOSUV 2020 presentation - Why Sourcing Still Matters
Iker Jusue
 
Sourcing Tools Roundtable SourceCon Europe Budapest 2018
Sourcing Tools Roundtable SourceCon Europe Budapest 2018Sourcing Tools Roundtable SourceCon Europe Budapest 2018
Sourcing Tools Roundtable SourceCon Europe Budapest 2018
Iker Jusue
 
Productivity - Tools & Techniques
Productivity - Tools & TechniquesProductivity - Tools & Techniques
Productivity - Tools & Techniques
Iker Jusue
 

More from Iker Jusue (6)

How to Hack your Sourcing Career
How to Hack your Sourcing CareerHow to Hack your Sourcing Career
How to Hack your Sourcing Career
 
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold SourcersIker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
Iker Jusue SOSUV 2020 October presentation - Cross-Referencing for Bold Sourcers
 
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
Mental Health and Wellbeing for Sourcers - SourceCon Digital 2020
 
Iker Jusue - SOSUV 2020 presentation - Why Sourcing Still Matters
Iker Jusue  - SOSUV 2020 presentation - Why Sourcing Still MattersIker Jusue  - SOSUV 2020 presentation - Why Sourcing Still Matters
Iker Jusue - SOSUV 2020 presentation - Why Sourcing Still Matters
 
Sourcing Tools Roundtable SourceCon Europe Budapest 2018
Sourcing Tools Roundtable SourceCon Europe Budapest 2018Sourcing Tools Roundtable SourceCon Europe Budapest 2018
Sourcing Tools Roundtable SourceCon Europe Budapest 2018
 
Productivity - Tools & Techniques
Productivity - Tools & TechniquesProductivity - Tools & Techniques
Productivity - Tools & Techniques
 

Why you need to become a Tech Sourcer (even if you don't hire for IT roles).

  • 1. Why you need to become a Tech Sourcer (Even if you don’t source IT roles) Presented by Iker Jusue – June 2018
  • 2. Introduction Hypothesis: Every Sourcer needs to become, at least a bit, more Technical. This means: Tech Savvy. Aware of New Tech Trends. Not a Tech Expert / Developer. Why? Performance of information systems. Vendor management and implementation. @IkerJR - about.me/ikerjusue
  • 5. Tech to be followed ML, AI & Blockchain concepts and applications
  • 6. AI / ML Artificial Intelligence • Since 1956. • Contrast to Natural Intelligence. • Intelligent Agents: • Perceiving & taking actions. • Mimicking cognitive functions. Machine Learning • Since 1959. • Sub-field of AI. • Construction of algorithms • Predictive analytics. • Uncover hidden insights. • Learning from: • Historical relationships. • Trends in data. • Sentiment Analysis & NLP. @IkerJR - about.me/ikerjusue
  • 7. AI / ML @IkerJR - about.me/ikerjusue IBM Watson (since 2006) • Open Domain Question Answering system. • Advanced Natural Language Processing. • Information retrieval. • Knowledge representation. • Automated reasoning. • Tech: Java/C++/Hadoop/SUSE Linux • Applications: • Engagement Advisor. Predictions. Forecast. "The goal is to have computers start to interact in natural human terms (…) understanding the questions that humans ask..“ Source: IBM Watson Website
  • 8. IBM Watson Talent The Recruitment product built on IBM Watson @IkerJR - about.me/ikerjusue
  • 9. AI / ML @IkerJR - about.me/ikerjusue RAI by HiringSolved • AI Sourcing Assistant • Since 2016 • Advanced Natural Language Processing.
  • 11. Blockchain Definition • Invented in 2008. • Decentralized, distributed and (often) public. • P2P network. • Chain of blocks with: • Cryptographic hash of the previous block. • Timestamp. • Transaction data. • Applications: • Record management. • Identity management. • Transaction processing. @IkerJR - about.me/ikerjusue
  • 14. What can be done Some examples of useful stuff that can work for you right now.
  • 15. What can be done Tools and resources • Automation -> Hootsuite, IFTT, Zapier. • Phantom Buster / Blockspring (API) • Event lists (Postman). • Scraping (Data Miner). • Bookmarklets. • Python Scripts. @IkerJR - about.me/ikerjusue
  • 16. What can be done Event lists hacking Aaron Lintz (@aaronlintz) http://bit.ly/ALintzAttendeeList @IkerJR - about.me/ikerjusue
  • 17. What can be done Bookmarklets Glenn Gutmacher (@gutmach) http://bit.ly/GlennGutmacherBook marklets @IkerJR - about.me/ikerjusue
  • 18. What can be done Python Scripts for Sourcing Tom Ordonez (@tomordonez) http://bit.ly/TomOrdonezPythonScripts @IkerJR - about.me/ikerjusue
  • 19. Where to start Ok, that’s cool but… How I do that?
  • 20. Where to start Learning Platforms • Codeacademy / Sololearn • Grasshoper • Udacity / edX / Coursera Facebook Groups • Sourcers Who Code • Data Miner User Community • Growth Hacking Recruiters @IkerJR - about.me/ikerjusue