VIDCAST: Keep Your Best People Longer with Opportunities to Thrive

Of the millions of workers who quit their jobs over the last two years during the Great Resignation, many cited lack of opportunity for advancement as a major factor. Employees saw investment in their professional development as validation that their contributions were valued and rewarded; its absence sent the opposite message.

Today’s HR leaders must strategize how to hang on to their best-fit hires so they become long-term employees. Much of this comes down to providing a vision for future opportunities in the form of roles, projects and gigs that will utilize, challenge and develop a worker’s skills.

In this session, retrain.ai Co-founder and CEO Dr. Shay David and Chief Research Officer Ben Eubanks of Lighthouse Research discuss how organizations can build a mutually beneficial path forward for valued talent. Their conversation covers:

  • How HR tech can counter today’s quit rates 
  • The connection between internal opportunities and worker retention
  • What we can learn from Great Resignation data
  • The DRIP Problem: Data Rich, Information Poor
  • Implications of the new employer-employee dynamic
  • How AI enhances the human experience at work
  • The importance of Responsible AI and explainability
  • Tips for HR leaders new to using AI-driven tech
  • Talent scarcity as a business problem, not just an HR problem
  • How HRs and hiring managers can align to optimize Responsible AI solutions

 

 

 

VIDCAST: Sourcing and Screening at a Time of Talent Scarcity

In the wake of the Great Resignation, the war for skilled workers rages on, with more open roles than there are job seekers to fill them. Candidates are willing to wait it out to find best-fit roles, demanding (and receiving) higher compensation, more flexibility, community, and an inclusive culture before accepting a full-time job at a traditional employer.

Meanwhile, an open role represents significant costs for an enterprise through both productivity and financial losses; numbers that only compound with each passing day. To avoid such pitfalls, a long-term strategy is needed to navigate today’s talent shortage. 


In the short term, there are immediate measures HR leaders can put in place to get the right people in the right places quickly. These include sourcing and attracting talent through creative recruitment, broadening the talent pool to include active and passive candidates, looking internally for employee mobility opportunities and focusing on skills-based hiring within all of these channels.

In this session, retrain.ai co-founder and COO Isabelle Bichler-Eliasaf and Chief Research Officer Ben Eubanks of Lighthouse Research discuss how AI can invigorate and expedite the sourcing and screening process to help HR leaders hone in on best-fit, diverse candidates faster. Their conversation covers:

  • The biggest hiring challenges today and how HRs are managing them
  • What factors have caused today’s talent shortage
  • The importance of career-pathing opportunities in attracting talent and keep employees engaged
  • How AI and skills-matching can build a talent marketplace to fuel internal mobility
  • How AI can enhance the human experience at work and strengthen DEI goals
  • What constitutes Responsible AI and how does HR tech balance automation and fairness
  • Ben’s 2023 predictions for HR

 

 

 

Q&A: The NYC AI Audit Law

UPDATE: Local Law 144 will now go into effect on May 6, 2023.

For organizations using AI in their hiring processes, prepping for 2023 means evaluating compliance with a new law that will take effect in New York City in January, but which will impact millions of HR leaders and job candidates everywhere

Local Law 144, or the NYC AI Audit Law, issues updated guidelines for employers using AI in hiring. Part of a quickly growing practice, AI tools are in high demand for companies looking to speed up preliminary candidate screening and enable efficiency in the hiring process. To avoid introducing unintended bias into those actions, however, the AI must be responsible–meaning fully explainable machine learning systems structured to avoid biases that could skew results unfairly. 

With only weeks to go until the NYC AI Audit Law kicks in, there are still plenty of unanswered questions. In this vidcast, retrain.ai Co-founder and COO Isabelle Bichler-Eliasaf speaks with Rob Szyba, partner and employment attorney at Seyfarth Shaw about aspects of the law that aren’t quite clear yet, including:

  • What specifically defines an automated employment decision tool (AEDT)? How much weight is given to the AEDT as one part of a multi-level hiring process?  [Timestamp: 5:08]
  • Who is performing the mandatory AI bias audits required by the law?  [Timestamp: 10:01]
  • What accommodations are given to candidates who opt out of AEDT interview steps?  [Timestamp: 11:28]
  • How are candidates who opt out assured equal consideration?  [Timestamp: 12:38]
  • What happens to organizations in that are new to AI use in hiring and don’t necessarily have enough data to test their system by the time the law takes effect? Will they be considered in default?  [Timestamp 15:32]
  • The law applies in New York City, but what does that mean for businesses based outside of NYC who have offices or even remote workers based in the City?  [Timestamp 19:02]
  • How can those of us in the AI space convey the importance of ensuring that regulation helps the process without stifling innovation? That it protects AI’s ability to enhance the human workforce experience?  [Timestamp 25:06]

Additional Resources:

Not Headquartered in NYC? The New AI-based Hiring Regulations Will Likely Still Apply to You. Blog post

NYC AI Law Update – 4 Important Things You Need to Know Blog post

A New NYC Law Puts Pressure on Talent Intelligence: Will Your AI Solution Be Ready? Blog post

Responsible AI and the NYC Audit Law: What You Need to Know Before 2023 – On-demand webinar

Responsible AI: Why It Matters and What HR Leaders Need to Know – On-demand webinar

To experience a personalized walkthrough of how retrain.ai can help you reach your HR goals, visit us here.

What’s In It for Me? The Importance of Personalized Employee Development at Scale

Recent surveys have shown that of workers who quit their jobs over the last two years, fueling the great resignation, a majority name lack of opportunity for advancement as a contributing factor. Yet plenty of employers offer training programs to upskill and develop their talent. Where is the disconnect?

In a recent interview, our COO Isabelle Bichler-Eliasaf sat down with retrain.ai customer Maccabi Healthcare Services to talk about our work together. 

In this clip, Maccabi Head of Learning and Development Ifat Alfasi describes the importance of not just putting programs in place, but of making them easily accessible–and curated–to employees. In this way, individuals can see the potential inherent in the training and have personalized guidance on how to best benefit from it.

 

retrain.ai is a talent intelligence platform designed to help enterprises hire, retain, and develop their workforce, intelligently. Leveraging the power of artificial intelligence and real-time market data, enterprises unlock key talent insights and optimize the hiring and upskilling of their workforce. For employees, our Talent Intelligence Platform seamlessly assesses the skills they have today, the skills they need for the future and delivers the resources they need to get them there. To learn more visit Request a Demo

More Than Money: Why Successful L&D Programs Require Real-Time Market Data

In the United States, annual spend on corporate training averages $180 million. But research shows that only 12% of skills learned in those training programs are used on the job. As the skills gap continues to widen within the US workforce, how can enterprises better use learning and development budgets to help employees develop relevant, immediately beneficial skills? 

In a recent interview, our COO Isabelle Bichler-Eliasaf sat down with retrain.ai customer Maccabi Healthcare Services to talk about our work together. 

In this clip, Isabelle, along with Maccabi Organizational Development Manager Yael Rotem-Sher and Head of Learning and Development Ifat Alfasi, points out the need to move beyond merely budgeting for L&D; organizations need to connect the dots between current labor market trends and in-demand skills of the future in order to develop employees successfully.

 

 

retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

The HR Conundrum: Plenty of Data, But What Does It Tell me?

HCM Systems are traditionally data-rich, but information poor. This can be exacerbated by siloed systems that don’t work in concert with each other to provide HR leaders with a full, comprehensive view they need to strategize successfully. How can HR professionals–with more responsibility falling within their domain than ever before–structure voluminous data in a way that supports business goals?

In a recent interview, our COO Isabelle Bichler-Eliasaf sat down with retrain.ai customer Maccabi Healthcare Services to talk about our work together. 


retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

How AI Can Enhance the Human Experience at Work

Can’t AI be considered a threat to people’s jobs? How can we view it as a positive for HR?

By providing a skills view of an enterprise’s workforce, AI-powered talent intelligence can highlight best-fit positions and new opportunities for employees within the organization, as well as suggested development courses to help them get there. As a result, HR leaders can offer personalized career pathing at scale, investing meaningful effort into each and every employee. 

In this clip from our 3Sixty Insights vidcast, retrain.ai co-founder and COO Isabelle Bichler-Eliasaf discusses the power of personalized professional development to lower attrition and engage employees.


retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Responsible AI and the Algorithms That Fuel DEI

How can HR leaders ensure their AI is supporting DEI efforts? 

To accelerate DEI goals, the ultimate aim of responsible AI is to solve potential unintended bias. As such, machine learning models must be specifically designed using fairness algorithms that focus on skills without incorporating demographic or other information that could skew unbias results.


retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Employee Skills Data and the Future of Work: Insights Tell the Story

How can HR leaders successfully build a skills-based talent pipeline in an ever-changing world of work? 

Analyzing and forecasting in-demand skills enables us to see what job opportunities exist now and what learning and development opportunities could help enterprises and their employees prepare for the jobs of the future. 

In this clip from our 3Sixty Insights vidcast, retrain.ai co-founder and COO Isabelle Bichler-Eliasaf discusses the billions of data points that feed such predictive analytics, and what value the resulting insights hold for organizations preparing for the future of work. 

retrain.ai is an AI-powered matching engine already prepped for the future. Structured first and foremost around Responsible AI, our solution connects the right talent to your open roles and career pathways by tapping into their skills, capabilities, and aspirations, making sure you reduce attrition and retain the right talent. To see it in action, request a demo.

Can an AI startup help get 1 million people back to work?

This vidcast was originally published by: AlpinaSearch.

Dr Shay David is the CEO at retrain.ai – a startup developing the world’s leading AI talent intelligence platform to unlock talent insights and optimize the hiring, retention, & upskilling of their employees.

Continue reading “Can an AI startup help get 1 million people back to work?”