Dummies Guide to TalEction
|Data Collectors and Digital Twins
|Matchmaking and AI Algorithms
|The TalEction Platform
|The META Perspective
|The Key Principles
|Scenario: AI Recruiting
|Scenario: Career Advice
Click through the slides above on your own, or watch this video where I walk you through the presentation.
Data Collectors and Digital Twins
|A Data Collector is a tool used to gather data about You or a Job/Company ex. a personality test, intelligence test, culture survey, games etc.
|A Digital Twin is a virtual representation that serves as the real-time digital counterpart of a physical object (you, job, company).
|TalEction use Data Collectors to build (fill) Digital Twins (with data).
1 of 9
Matchmaking and AI Algorithms
|TalEction uses Digital Twins both on the Employer, Job (context) side and the Employee, Candidate (you) side.
|TalEction has developed a number of functions that match elements of the Two Digital Twins with each other.
|The Matchmaking can as an example say which personality trait fits well with a certain team role or organization culture.
|TalEction uses both traditional Statistical and AI models, functions for the Matchmaking functions.
2 of 9
The TalEction Platform
|TalEction has built Products and Services around each of the Digital Twins in isolation in addition to on top of the Matchmaking Algorithms that connect them.
|Examples of Digital Twin based services are Career Advice, Smart-CV, Company Consistency and Indexes.
|Examples of Matchmaking based services are AI Recruiting, Readiness, Right-Sizing.
|TalEction has also developed foundational services like Sharing, Smart Search in addition to data analytics services and research.
3 of 9
The Meta Perspective
|ERP/HCM Systems support HR in solving tasks administratively and embrace fixed set-ups - driven by forms and aim for documentation of work performance. Employer produce work skills.
|TalEction supports Talent Management in solving tasks strategically and embrace growth set-ups. The solution is driven by AI and aim for documentation of learning. Employers produce Learning Skills.
|We need both systems to meet both formal obligations and informal expectations in the future.
4 of 9
|Tools for leadership and governance of knowledge workers.
|Recognition for knowledge and the ability to drive your own development.
|Management must govern employees on results (output) or effects.
|The new (digital) economy must be based on platforms, artificial intelligence and digital twins.
|Enhanced Privacy: the individuals own and manage their own data.
|A learning system with a focus on lifelong learning, learning skills and culture.
|Creates a basis for developing learning-based measurement indicators (KPIs)
|Platform should cover: recruitment, organizational development and mobility, change management, training of mental skills and workforce optimization
|Collect structured data for the Digital Twins that opens up for simulations and automated analysis.
|Individuals and Companies must have full access to own data to run tailored analysis and potentially develop bespoke AI.
|The solution must be intuitive, easy to integrate and based on self-service.
5 of 9
Scenario: AI Recruiting
|Recruitment is about Reaching as many right talents as possible and then Selecting the best fit for the job in question.
|Step 1, Job Analysis: Use Data Collectors to create a Digital Twin for the Job and generate job profile, recruitment project, campaign, candidate landing page etc.
|Step 2, Selection: Candidates complete tasks to apply and build their own digital twin - the platform automatically calculate match score with Job digital twin and recommends best match.
|STEP 3, OnBoarding: Re-Use digital twins and match algorithms to generate onboarding tasks and contextual recommendations (success path).
6 of 9
Scenario: Career Advice
|Step 1, Populate Twin: Use Data Collectors to populate your own Digital Twin (personality tests, intelligence tests, cognitive flex test, skills detection games etc.).
|Step 2, Simulate: Use your Digital Twin and apply AI Algoritms to Simulate Career options and choices (jobs, functions, industry, sector, maturity, team role, culture etc.).
|Step 3, Get Advice: Run our Advisory services against your own Digital Twin and get an instant analysis and associated recommendations.
|Use our advanced search and sharing functions to interact with others.
7 of 9
|Readiness is about identifying the likelihood of a group of individuals being able to successfully implement a change.
|Step 1, Populate Twins: Use Data Collectors to populate digital twins for people involved in the change and for the desired target state.
|Step 2, Analyse Gap: Apply AI algorithms to the people twins against target state twin - establish gap and recommendations.
|Step 3, Develop Plan: Use identified gap and associated analysis to develop targeted road map (plan) to reach desired target state.
|Re-Run process to identify effect of implemented road map.
8 of 9
I just want to use it for myself - build Awareness, Smart CV, Simulate, Get Advice etc.
Free (no cost)
I want to use it for my company, many people - Run Recruitments, Assessments, Readiness etc.
Paid Service (cost)
9 of 9