Elevate Your AIQ

By WRKdefined Podcast NetworkBusiness Technology Management

Elevate Your AIQ episodes

September 17, 2024Ep 19: Bridging the Knowing-Doing-Leading Gap for AI-Driven Transformation with Charlene Li
Bob Pulver catches up with advisor, executive coach, entrepreneur, and NY Times best selling author Charlene Li about AI-driven transformation and the importance of remaining human-centric. Charlene has written numerous books on this subject (her seventh book is coming soon!) and is continuously educating leaders and organizations worldwide on how to get it right. They spoke about AI-driven transformation and how it differs from prior transformation initiatives. Charlene shared invaluable insights on strategic alignment and leadership buy-in to shrink the ‘knowing-doing-leading’ gap. Importantly, Charlene and Bob dig into the crucial role of Responsible AI in ensuring positive outcomes for all stakeholders. Charlene also shares examples of organizations that have successfully embraced AI and offers practical advice for gaining AI knowledge and skills. How are you bridging the knowing-doing-leading gap? How will AI help you ask better questions, and think differently? Charlene's extensive expertise in digital transformation and human-centric approaches to technology make this episode a must-listen for anyone interested in the future of work and how AI can augment and empower us (humans, that is).
Keywords
AI-driven transformation, human-centric, digital transformation, strategic alignment, leadership buy-in, responsible AI, data literacy, data governance
Takeaways
AI-driven transformation is an opportunity to change the way organizations operate and upend the status quo.
Strategic alignment and leadership buy-in are crucial for successful AI implementation.
Responsible AI requires a focus on data literacy, data governance, and ethical use of AI.
Customization and personalization of AI tools can enhance their effectiveness and impact.
Building AI tools in-house can make organizations more knowledgeable buyers and ensure solutions that solve real problems.
Sound Bites
"AI upends the way we work and changes the way we relate to each other."
"AI transformation requires strategic alignment and thinking big."
"Executives need AI literacy and must transform themselves before leading AI implementation."
"Until you can see the power of AI directly benefiting you, you can't begin to think about how to lead an organization in using AI."
Chapters
00:00 Introduction and Background
02:21 Comparing AI-driven Transformation to Previous Transformations
04:39 Strategic Alignment and Leadership Buy-in
06:16 Becoming AI Literate as a Leader
09:14 Responsible AI: Data Literacy and Governance
13:18 Responsible AI: Speeding Things Up with Clear Guidelines
16:11 Example of Successful AI Implementation: AARP
18:05 Responsible AI: Setting Up AI Ethics Committees
20:24 Responsible AI: Responsible Use of Data and Access
22:25 Building AI Tools In-house: Customization and Personalization
26:04 Building AI Tools In-house: Minimal Viable Team
29:32 Responsible AI: Imagination and Curiosity
32:28 Responsible AI: Responsible Use of All AI Technologies
40:33 Customization and Personalization of AI Tools
46:25 Building AI Tools In-house: Becoming Knowledgeable Buyers

Charlene Li: https://charleneli.com/
Charlene’s books: https://charleneli.com/books/
48 min
September 12, 2024Ep 18: Crowdsourcing and AI to Solve Data Challenges with Justin Strharsky
Justin Strharsky, co-founder of humyn.ai, joins Bob Pulver to discuss the power of collective intelligence and the role of AI in solving complex problems. He explains how humyn.ai uses competition and collaboration to bring together a global community of data scientists to solve data challenges. Humyn.ai's crowdsourcing approach has proven very effective, where multiple independent solutions can lead to higher confidence and the discovery of valuable outlier answers. Strharsky emphasizes the importance of constraints and the right incentives to maximize contributions and ensure the best outcomes. It's a wide-ranging and insightful discussion on myriad topics, each relevant to the future of work design and dynamic workforce ecosystems.
Keywords
collective intelligence, AI, data science, competition, collaboration, constraints, incentives, outcomes
Takeaways
Collective intelligence, where multiple independent solutions are combined, can lead to higher confidence and the discovery of valuable outlier answers.
Constraints and the right incentives are important in maximizing contributions and ensuring the best outcomes.
AI can function as a thought partner, stimulating creativity and enhancing human problem-solving abilities.
The power of AI lies in its ability to free up time and resources, solve mundane problems, and create a world of abundance.
It is important to have a clear understanding of the problem at hand and to critically evaluate AI outputs to avoid being overwhelmed or misled.
Sound Bites
"More answers are better than one."
"Constraints matter in maximizing contributions and outcomes."
"Generative AI is fantastic for finding commonalities and driving decisions."
Chapters
00:00 Introduction and Background
02:16 Competition and Collaboration in Solving Data Challenges
07:17 IP Ownership and Collaboration Opportunities
09:17 The Power of Cognitive Diversity and Subject Matter Expertise
13:59 Finding the Right Constraints for Optimal Solutions
22:15 Transparency, Observability, and Intellectual Property
25:04 The Need for Responsible and Ethical AI Use
28:33 The Potential of AI in Enhancing Human Thinking
31:39 The Importance of Engaging with AIQ and Avoiding Over-Optimism
36:05 The Value of Solving Mundane Problems and Creating a World of Abundance
39:01 The Future of AI and Collective Intelligence
42:10 Navigating the AI Landscape and Ensuring Clear Understanding
45:17 The Importance of Critical Evaluation and Avoiding Overwhelm
46:33 Elevating AIQ: Engaging with Tools Practically and Focusing on Problem Solving

Justin Strharsky: https://www.linkedin.com/in/justin-strharsky
https://humyn.ai
48 min
September 10, 2024Ep 17: Bias Mitigation for Better Hiring Decisions with Dr. Shiran Danoch
Bob Pulver speaks with Dr. Shiran Danoch, CEO and Founder of Informed Decisions, an interview intelligence platform, about the use of AI in the hiring process. They discuss the importance of data-driven and skills-based hiring, as well as the need for infrastructure and guidance to mitigate bias in AI algorithms. They also emphasize the value of feedback for candidates and the role of responsible AI in improving decision-making. Shiran shares her favorite AI tools for content writing and data analysis, as well as her advice for upskilling in AI and staying curious.
Keywords
AI in hiring, data-driven hiring, skills-based hiring, bias mitigation, feedback for candidates, responsible AI, AI tools, upskilling in AI
Takeaways
Data-driven and skills-based hiring are becoming more prevalent in the recruitment process.
Infrastructure and guidance are necessary to mitigate bias in AI algorithms.
Providing feedback to candidates is crucial for their growth and improvement.
Responsible AI can enhance decision-making and improve diversity and inclusion efforts.
Experimenting with AI tools and staying curious are key to upskilling in AI.
Sound Bites
"You can't manage what you don't measure."
"We want to learn from what [interviewers] are doing."
"Set up an infrastructure that will allow you to understand something, to collect data and to understand something about the effectiveness of your interview practices."
Chapters
00:00 Introduction and Background
03:16 Shiran's Journey in the HR Tech Space
08:55 Mitigating Bias in AI Algorithms
13:43 The Importance of Feedback in the Hiring Process
21:39 The Role of Responsible AI in Decision-Making
28:14 The Future of AI in Hiring and DEI
38:01 Favorite AI Tools and Use Cases
42:34 Incorporating AI Use in Interviews
46:21 Advice for Upskilling in AI

Shiran Danoch: https://www.linkedin.com/in/shirandanoch
Informed Decisions: https://informedecisions.io
47 min
September 05, 2024Ep 16: Navigating the Skills Landscape for the Evolution of Work with Gordon Ritchie
Bob Pulver and Gordon Ritchie, Principal Consultant and Skills Architect at Skill Collective, discuss the challenges and complexities of skills in the workplace. They explore topics such as skills assessments, skills ownership, skills taxonomy, and the role of AI in skills inference. They also touch on the importance of durable skills and the need for a shift in how skills are evaluated and matched in the hiring process. The conversation explores the challenges and considerations of skills-based hiring, the impact of automation on talent acquisition, and the importance of internal mobility and reskilling. It also delves into the use of assessments in evaluating human skills and the need for responsible AI practices. The conversation concludes with advice to explore and experiment with AI tools and to embrace continuous learning and adaptation.

Keywords
skills, assessments, ownership, taxonomy, AI, durable skills, hiring process, skills-based hiring, automation, talent acquisition, internal mobility, reskilling, assessments, responsible AI, research, experimentation, continuous learning

Takeaways
Skills assessments can help individuals and organizations identify aptitudes and capabilities.
Ownership of skills is a challenge, as different HR verticals and solution providers vie to be the system of record for skills.
Skills taxonomy and global skill standards are difficult to create and maintain, and may not be the most effective approach.
Skills inference using AI can help identify skills based on descriptions and tasks, but it is important to consider the limitations and biases of AI.
Durable skills, including critical thinking and problem-solving, are essential in a rapidly changing work environment.
Skills-based hiring often falls short, with skills-based sourcing being more common. Inconsistencies in skills evaluation and matching persist in the hiring process. Skills-based hiring may not always lead to better outcomes and behavior.
Hiring managers should focus on the tasks that need to be done, rather than just the skills required.
Automation should be approached with consideration for the impact on culture, engagement, and retention.
Internal mobility and reskilling can provide opportunities for employees and help retain valuable talent.
Assessments in the AI space vary in reliability and validity, and caution should be exercised in their use.
Continuous learning and experimentation with AI tools can help individuals elevate their AIQ.
Sound Bites
"Skills assessments can help individuals and organizations identify aptitudes and capabilities."
"Skills taxonomy and global skill standards are difficult to create and maintain, and may not be the most effective approach."
"Skills inference using AI can help identify skills based on descriptions and tasks, but it is important to consider the limitations and biases of AI."
"And so that looks like a great vanity metric to measure the success of skills-based hiring on, but it hasn't actually changed the outcome and behavior."
"What is it that needs doing? Because that's the business of the business. And that's what a job architecture needs to mirror or mimic."
"You don't automate jobs, you automate tasks."

Chapters
00:00 Introduction and Background
09:48 Challenges of Skills Taxonomy and Standards
19:12 Skills Inference with AI
25:19 The Importance of Durable Skills
33:27 Skills-Based Hiring Challenges
35:37 The Limitations of Skills-Based Hiring
39:23 Considering the Impact of Automation on Talent Acquisition
45:22 The Value of Internal Mobility and Reskilling
58:53 The Challenges of Assessments in the AI Space
01:06:07 Embracing Continuous Learning and Experimentation with AI

Gordon Ritchie: https://www.linkedin.com/in/gordon-m-ritchie
Skill Collective: https://skillcollective.co.uk

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
59 min
September 03, 2024Ep 15: The Future of Skills Assessments and Hiring in the Age of AI with Dr. Charles Handler
Bob is joined by Dr. Charles Handler to discuss various topics related to AI, skills-based hiring, and the challenges of keeping up with information overload. They explore the importance of defining skills in skills-based hiring and the need for verification at scale. They also touch on the value and risks of AI in the hiring process, particularly in the assessment phase. Dr. Handler shares his thoughts on reducing friction in hiring, the paradox of AI, and the potential future of assessment with automated inferential assessments and high-fidelity simulations. The conversation explores the challenges and potential of AI adoption and responsible AI practices. Bob and Charles discuss the timeline for mass adoption of AI, the role of AI in simulations and training, the need for policies and governance around AI, and the impact of AI on diversity, equity, and inclusion. They emphasize the importance of understanding the technical aspects of AI and recommend educational resources for building AI literacy.
Keywords
AI, skills-based hiring, information overload, verification, friction reduction, accuracy, fairness, assessment, inferential assessments, simulations, AI adoption, responsible AI, mass adoption, simulations, training, policies, governance, diversity, equity, inclusion, AI literacy
Takeaways
Defining skills is crucial in skills-based hiring to ensure a shared understanding of what constitutes a skill.
Verification of skills at scale is a challenge in skills-based hiring, and finding a solution for this is essential for accuracy.
AI can reduce friction in the hiring process but may come at the cost of accuracy and fairness.
Machine learning has been used in ATSs for resume parsing and matching, but there is still room for improvement.
The future of assessment may involve automated inferential assessments based on digital exhaust and high-fidelity simulations. Mass adoption of AI may take time, but experimentation and progress are happening.
AI can be used in simulations and training, such as military simulations and role-playing scenarios.
Policies and governance around AI are necessary to ensure responsible AI practices.
AI has the potential to impact diversity, equity, and inclusion in hiring and talent acquisition.
Building AI literacy is important for understanding the technical aspects of AI and its implications.
Sound Bites
"Skills-based hiring is about accuracy and fairness."
"There will be a sinkhole in assessment with automated inferential assessments and high-fidelity simulations."
"Is AI a fad? This is not crypto. This is here to stay."
"The future is people training the agents how to have good competencies."
"The baseline of where we are in the moment is still incredible and game-changing."
Chapters
00:00 Introduction and Background
03:03 Challenges of Keeping Up with AI and Information Overload
10:40 Skills-Based Hiring and the Half-Life of Skills
21:58 The Value and Risks of AI in the Hiring Process
22:18 AI's Role in Reducing Friction and the Paradox of Accuracy and Fairness
24:47 The Future of Assessment: Automated Inferential Assessments and High-Fidelity Simulations
25:59 The Timeline for Mass Adoption of AI
27:31 AI in Simulations and Training
34:18 The Need for Policies and Governance around AI
43:18 AI's Impact on Diversity, Equity, and Inclusion
48:13 Building AI Literacy

Dr. Charles Handler: https://www.linkedin.com/in/drcharleshandler/
Rocket-Hire: http://www.rocket-hire.com
Psych Tech @ Work: https://open.spotify.com/show/2euPiLjmRMoce5cvh5S3Jp?si=30050c48046e452d

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
48 min
August 29, 2024Ep 14: Mindset, Skillset, and Toolset for the Evolution of Work with Gary Bolles
Bob has an engaging discussion with Gary Bolles, Chair for the Future of Work at Singularity University, author of the book, “The Next Rules of Work: The Mindset, Skillset and Toolset to Lead Your Organization through Uncertainty”, keynote speaker, lecturer, and many other roles. They talk about his extensive background, including the ‘family business’ and all his endeavors related to human potential, career development, and of course, the future of work. Bob and Gary discuss the challenges of finding the right balance between innovation and regulation. They hit on the automation maturity curve and the need for individuals and organizations to adapt and transform in the face of exponential change. Gary emphasizes the importance of mindset and culture in driving successful transformation. The conversation explores the concept of collective intelligence and the combination of human intelligence and AI. They touch on the importance of asking better questions and the evolving role of leaders in guiding teams. Gary highlights the need for organizations to embrace new models of social cohesion and education systems to empower individual learning. Lastly is a discussion on the responsible and fair use of AI and the need to develop AI literacy in education.
Keywords
future of work, AI, trends, regulation, innovation, automation, transformation, mindset, culture, collective intelligence, human intelligence, AI, adaptability, growth, team metrics, cognitive diversity, AIQ, education, AI literacy
Takeaways
Exponential technologies like AI have the potential to bring both tremendous benefits and concerns.
It is crucial to have a proactive approach to regulation and scenario planning to anticipate the impacts of new technologies.
Automation is a continuum. Rather than focusing on job displacement, organizations should re-architect job roles and empower humans with technology.
Successful transformation requires a growth mindset and a culture of continuous learning and adaptation.
AI has the potential to augment collective intelligence by providing insights and sparking new ideas.
Leaders should focus on asking better questions and empowering individuals to find solutions.
Organizations should embrace new models of social cohesion to leverage collective intelligence.
Education systems need to shift towards empowering individual learning and teaching AI literacy.
Sound Bites
"Exponential technologies often follow an exponential curve and accelerate each other along that curve."
"The concern with exponential technologies is that they tend to create outsized players and monocultures."
"Automation doesn't replace jobs, it automates tasks. The decision to eliminate jobs is a human decision."
"So long as we help them to be able to continually adapt and grow, then you're going to be much more likely to have the organization have that capacity."
"We're still in very early days, especially with regenerative AI and large language models."
"We will define the organization by its level of social cohesion."
Chapters
00:00 Introduction and Background
05:20 Exploring the Intersection of Trends and the Impact of AI
08:52 Finding the Balance Between Innovation and Regulation
16:28 Navigating the Automation Maturity Curve
25:10 The Importance of Mindset and Culture in Transformation
29:08 Adaptability and Growth
31:46 Augmenting Collective Intelligence with AI
35:12 Asking Better Questions for Insights
44:00 Rethinking Organizational Models
51:11 Empowering Individual Learning

Gary Bolles: https://www.linkedin.com/in/gbolles
The Next Rules of Work: https://www.koganpage.com/general-business-interest/the-next-rules-of-work-9781398601635
LinkedIn Learning: https://www.linkedin.com/learning/instructors/gary-bolles
Singularity University: https://su.org

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
58 min
August 27, 2024Ep 13: Using AI to Realize Human Potential with Ioanna Onasi
Bob Pulver talks with Ioanna Onasi, CEO and co-founder of Dextego, about the role of AI in coaching, the importance of personalized learning, and the value of experiential education. They also explore the impact of AI on job displacement and the potential for AI to enhance decision-making and collaboration. The conversation highlights the need for a balance between automation and human skills, and the importance of soft skills and practical application in education. Bob and Ioanna explore the challenges and opportunities of creating a learning culture within organizations. Ioanna emphasizes the importance of investing in employees' growth and creating incentives for learning. They touch on the need for mindset shifts to embrace AI and automation, the evolving nature of careers, and the need for organizations to adapt their talent strategies. They highlight the importance of building a culture that attracts and retains talent and the role of AI in supporting personalized learning and productivity.

Keywords
AI, personalized learning, experiential education, decision-making, automation, human skills, soft skills, education, learning culture, workforce transformation, growth mindset, talent strategy, personalized learning, AIQ

Takeaways
Personalized learning is crucial for effective skill development, as it provides a safe space for practice and feedback.
AI can enhance decision-making and collaboration by providing insights and guidance based on individual needs and preferences.
The future of work will require individuals to adapt and continuously learn, leveraging their transferable skills and embracing AI as a co-pilot.
Education systems need to evolve to include soft skills and practical use, preparing students for the complex and changing work environment.
Investing in employees' growth and creating incentives for learning are crucial for creating a learning culture within organizations.
Mindset shifts are necessary to embrace AI and automation in the workforce.
Organizations need to adapt their talent strategies to the evolving nature of careers and build a culture that attracts and retains talent.
AI can support personalized learning and productivity by providing customized support to individuals.
Individuals can elevate their AIQ by joining communities and connecting with others in their field.
Sound Bites
"Today with the power of Gen. AI, we can actually create a very personalized coach"
"There's so much more that could be done...AI can help you in how you make decisions"
"It's a little ironic that we use AI to help people develop skills so that they beat AI"
"Are you investing in me? And do you recognize that I have the potential to be successful in one of those other roles if only we fill this particular gap?"
"Learning cultures are created by a combination of things, not just by one person leading an LMS."
"There's only 1-2% of people in your company that truly will do everything for their learning because they have the drive. Everybody else needs to know that the effort will have an external reward."

Chapters
00:00 Introduction and Background
02:39 The Power of Personalized Learning and Experiential Education
05:09 AI as a Co-Pilot: Enhancing Decision-Making and Collaboration
08:25 Balancing Automation and Human Skills in the Future of Work
13:28 The Need for Soft Skills and Practical Application in Education
19:42 Driving Sales Enablement and Onboarding with AI
27:34 Adapting Talent Strategies to Evolving Careers
29:37 Building a Culture that Attracts and Retains Talent
35:30 AI for Personalized Learning and Productivity
41:07 Elevating AIQ: Joining Communities and Connecting with Others

Ioanna Onasi: https://www.linkedin.com/in/joannemantzouridou
Dextego: https://dextego.com/

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
50 min
August 22, 2024Ep 12: Augmenting Human Capabilities Responsibly with Hernan Chiosso
Bob Pulver speaks with Hernan Chiosso, Founder of ProductizeHR and Director of Technology for the National Human Resources Association. They discuss the potential of AI in HR, the importance of human skills, and the need to rethink work and job roles. They also touch on the impact of AI on internships and the impact to the arts and other creative pursuits. Overall, the conversation highlights the need for a human-centric approach to AI and the importance of considering outcomes rather than just outputs. The conversation explores the importance of maintaining the human element in art and education when incorporating AI. It emphasizes the need for a healthy balance between AI and traditional methods, as well as the responsibility to use AI ethically and responsibly. Bob and Hernan also touch on the concept of trust in AI and the importance of critical thinking and questioning. Various tools and approaches to AI are discussed, highlighting the need for individuals to adapt and find ways to incorporate AI into their work and personal lives.

Keywords
AI, HR, human skills, work, job roles, internships, art, AI in art, AI in education, balance between AI and traditional methods, responsible AI use, trust in AI, critical thinking, AI tools and approaches

Takeaways
AI has the potential to augment HR and enable HR professionals to make better quality decisions.
It is important to consider the impact of AI on job roles and the need to invest in the development of human workers.
The focus should be on outcomes rather than just outputs when considering the use of AI.
AI can eliminate the need for certain tools and processes, but it is important to assess the value and meaning of work in the context of AI.
AI offers opportunities for employee development and the reevaluation of job roles and their value in society. Maintaining the human element in art and education is crucial for personal growth and creativity.
A healthy balance between AI and traditional methods is necessary to ensure the best outcomes.
Using AI in education should focus on coaching and tutoring, rather than simply providing answers.
Responsible AI use involves understanding the social, personal, and environmental trade-offs.
Increasing AIQ requires technical knowledge, understanding of AI's impact, and a responsible mindset.
AI tools can augment human capabilities and improve productivity, but should not replace critical thinking and questioning.
Sound Bites
"AI can automate some things, but it is capable of much more."
"AI can render many tools and processes meaningless and pointless."
"AI creates an opportunity to revisit what makes sense and what doesn't in work and job roles."
"You're missing the outcome that is that transformational process of art."
"It should be part of learning. It should be in a tutoring kind of capacity."
"How you use AI makes all the difference."

Chapters
00:00 Introduction and Background
03:42 The Potential of AI in HR
11:46 The Impact of AI on Work and Job Roles
29:49 The Human-Centric Approach to AI
32:55 Maintaining the Human Element in Art and Education
35:02 Finding a Healthy Balance Between AI and Traditional Methods
36:57 Responsible AI Use in Education
39:45 Understanding the Social, Personal, and Environmental Trade-Offs of AI
44:06 Increasing AIQ: Technical Knowledge, Impact Awareness, and Responsible Mindset
53:41 Augmenting Human Capabilities with AI Tools

Hernan Chiosso: https://www.linkedin.com/in/hernanchiosso/
Productize HR: https://productizehr.substack.com

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
48 min
August 20, 2024Ep 11: AI's Impact on HR Transformation and Innovation with Pete Tiliakos
Bob Pulver and Pete Tiliakos discuss the impact of AI on HR transformation. They explore the scale and complexity of AI compared to previous transformations and emphasize the importance of continuous improvement. They also discuss the opportunities and risks of using AI, including the need for responsible AI practices and governance. They highlight the importance of trust, ethics, and critical thinking skills in using AI effectively. Additionally, they touch on the role of AI in HR functions such as payroll and the need for upskilling and education in AI. The conversation explores the application of AI in organizations and the importance of data and analytics maturity. Bob and Pete discuss how companies are using AI to improve their front-end customer experiences and how these lessons can be applied to the back office. Pete shares his favorite AI tools and cautions against relying solely on publicly available information. The conversation concludes with advice to stay agile, keep learning, and embrace AI as a wave of innovation.

Keywords
AI, HR transformation, continuous improvement, opportunities, risks, responsible AI, governance, trust, ethics, critical thinking, upskilling, education, AI application, data and analytics maturity, customer experience, back office, productivity, upskilling, AI tools, publicly available information, agility, learning, innovation

Takeaways
AI should be seen as a continuous process improvement rather than a one-time transformation.
Transformation in the age of AI is more complex and requires agility and staying ahead of the changing landscape.
The core HR functions, such as payroll and benefits, are essential for setting up more advanced talent capabilities.
Responsible AI practices, including governance, ethics, and trust, are crucial for successful AI implementation.
Cognitive diversity and oversight are necessary to ensure fair and transparent AI decision-making.
AI will impact all industries and roles, and organizations need to adapt and use AI to stay competitive.
Education and upskilling in AI, including responsible AI practices, are essential for individuals and organizations.
Creativity and human skills will always have an edge over AI in certain areas, such as deep storytelling. AI can be used to improve front-end customer experiences and can provide valuable lessons for back-office operations.
Data and analytics maturity is crucial for successful AI implementation.
AI has the potential to increase productivity, but it is important to allocate the saved time to higher-value activities.
Individuals and organizations should invest in upskilling to fully leverage the benefits of AI.
Caution should be exercised when using AI tools that rely on publicly available information.
Stay agile, keep learning, and embrace AI as a wave of innovation.
Sound Bites
"Transformation is not a destination."
"There's more ways than ever to solve your problems."
"The problems haven't changed, just the scale and complexity."
"What do we do with our extra time?"
"Reinvesting time saved in upskilling"
"Excited for the potential of AI"

Chapters
00:00 Introduction and Background
02:23 Comparing AI Transformation to Previous Transformations
06:12 The Continuous Process of AI Improvement
09:31 The Impact of AI on Core HR Functions
13:38 Navigating the Opportunities and Risks of AI
16:05 Building Trust and Responsible AI Practices
20:30 Upskilling and Education in AI
24:51 Applying AI to Improve Customer Experiences
26:32 The Importance of Data and Analytics Maturity in AI Implementation
27:02 The Potential Impact of AI on Productivity
28:29 Investing in Upskilling for AI Success
29:49 Caution When Using AI Tools with Publicly Available Information
31:58 Embracing AI as a Wave of Innovation

Pete Tiliakos: https://www.linkedin.com/in/petetiliakos

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
44 min
August 15, 2024Ep 10: Using AI for Coaching, Upskilling, and Reskilling with Rachel Cossar
Rachel Cossar, CEO and co-founder of Virtual Sapiens, discusses the power of AI in coaching and communication effectiveness. She shares her background as a professional ballet dancer and rhythmic gymnast, and how she transitioned into coaching people in presence and body language. During the pandemic, she saw an opportunity to introduce AI into coaching to make it more accessible and scalable. Bob and Rachel discuss the potential of AI in talent assessment and hiring, as well as its role in education. Rachel emphasizes the importance of using AI to provide equitable access to coaching and feedback. The conversation explores the concept of reskilling and upskilling in the context of AI and technology. They discuss how Virtual Sapiens can be used to help individuals transition to new roles and acquire new skills. The importance of soft skills in the age of AI is highlighted, as well as the role of AI in improving performance in sports and athletics. The conversation also touches on the challenges of using AI in artistic fields and the need for human feedback and intervention. The episode concludes with a discussion on the evolving landscape of AI tools and the importance of having a learning mindset to gain AI literacy.

Keywords
AI coaching, communication effectiveness, talent assessment, hiring, education, reskilling, upskilling, soft skills, AI in sports, learning mindset, AI literacy

Takeaways
AI can be used to provide coaching and feedback in areas such as presence and communication effectiveness.
AI has the potential to make talent assessment and hiring more objective and equitable.
AI-powered tools can democratize access to coaching and feedback, particularly in education.
Adapting to AI technology and leveraging it to upskill oneself is crucial for success in the changing workforce. Identifying transferable skills and reskilling to new roles can be a valuable strategy in the age of AI and technology.
Soft skills are becoming increasingly important in a world dominated by AI and automation.
AI can be used to improve performance in sports and athletics, but its application in artistic fields is more challenging.
Human feedback and intervention are essential in ensuring that AI tools enhance rather than replace human capabilities.
Keeping up requires continuous learning and experimentation.
Sound Bites
"I started coaching people actually in presence and body language and non-verbal [communication] because that was an area that I was such a master in and that I found people often neglected in other professional settings."
"When AI comes into the picture, you can at least know that every candidate is getting assessed by the same rubric that the AI has been trained for."
"AI often lacks the ability to understand context, right, and how behaviors change based on specific contexts that it might not be trained or equipped to really understand."
"Let me make sure I'm comfortable and confident talking to a potential new manager, a new leader that I have the capability to re-skill."
"The visual representation of sports and athletics in terms of improvement is a big area where I think AI could be very helpful."

Chapters
00:00 Introduction and Background
02:03 The Power of Transferable Skills
04:39 Assessing Talent and Hiring with AI
06:38 The Promise and Challenges of AI in Hiring
08:27 Democratizing Access to Coaching and Feedback
12:25 AI in Education
19:45 The Role of Video in AI Coaching
22:21 Leadership Dashboard and Continuous Improvement
24:12 Embracing Discomfort and Growth
26:40 Reskilling and Upskilling
30:19 AI in Sports and Athletics
33:54 Human Feedback and Intervention
36:48 Evolving Landscape of AI Tools

Rachel Cossar: https://www.linkedin.com/in/rachel-cossar
Virtual Sapiens: http://www.virtualsapiens.co/

For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
41 min

About Elevate Your AIQ

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Bob Pulver is helping each of us navigate our respective journeys with artificial intelligence (AI) effectively and responsibly. Bob chats with AI and Future of Work experts, talent and transformation…