Elevate Your AIQ

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Elevate Your AIQ

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 leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.

  1. 13 HR. AGO

    Collective Intelligence Meets Artificial Intelligence to Create Scalable Digital Advisors with Kevin Clark

    Bob Pulver speaks with Kevin Clark, President and Founder of Content Evolution. They discuss Kevin's extensive background at IBM (where Bob and Kevin first crossed paths), Kevin's transition into consulting, and the innovative work being done at Content Evolution, particularly in the realm of AI and digital advisors. The conversation emphasizes the importance of asking better questions when interacting with and training AI, and the evolving nature of content and customer engagement. Bob and Kevin focus much of the discussion on the transformative impact of AI on individual and collective intelligence, the evolution of job roles, and the necessity for organizations to adapt to both technology and employee expectations. They discuss the importance of harnessing collective intelligence even in the age of AI (which Kevin has just published a book about), the future of customized Digital Advisors, the concept of ‘digital inheritance’, and the impact of reverse mentoring on technology adoption.  Keywords AI, Content Evolution, Digital Advisors, Leadership Development, IBM, Innovation, Customer Experience, Market Research, Strategy, Technology, AI, collective intelligence, job descriptions, organizational change, digital advisors, digital inheritance, roles, automation, technology, future of work Takeaways Kevin Clark transitioned from a 30-year career at IBM to consulting. Content Evolution focuses on innovation and strategic directions. Digital advisors are customized AI tools that reflect individual expertise. Asking better questions is crucial for success in the AI era. Character and competence are essential for effective leadership. The landscape of customer experience is rapidly changing with AI. Organizations must adapt to leverage skills on demand. The importance of understanding undiscovered functionalities in technology. Collaboration and collective intelligence drive innovation at Content Evolution. The future of work will require agility and adaptability in teams. AI is augmenting both individual and collective intelligence. Job descriptions are evolving; roles need to be more fluid. Organizations must adapt to the changing fitness landscape. Collective intelligence can enhance decision-making processes. Digital advisors can provide valuable insights and reflections. Creating a digital inheritance can pass down knowledge and experiences. Roles should be prioritized over rigid job descriptions. Embracing technology is essential for career significance. Reverse mentoring can bridge the technology gap in organizations. Organizing information is key to leveraging AI effectively. Chapters 00:00 Introduction to Kevin Clark's Journey 12:20 Content Evolution and Its Mission 17:36 Digital Advisors and AI Customization 25:16 The Importance of Asking Better Questions 33:39 The Evolution of Job Descriptions 39:15 Harnessing Collective Intelligence 45:17 The Future of Digital Advisors 53:57 Redefining Roles in Organizations Kevin Clark: https://www.linkedin.com/in/kevin-clark-0057b81 Content Evolution: https://contentevolution.net/ “Collective Intelligence in the Age of AI” (Kevin’s book): https://www.amazon.com/Collective-Intelligence-Age-Kevin-Clark/dp/B0DKDB9WTH/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    1 hr

  2. 5 DAYS AGO

    Gen AI Transforms Learning Experiences and Modernizes Content Management with Jack Houghton

    Bob chats with Jack Houghton, co-founder and Chief Product Officer of Mindset AI, about the evolution of AI and its transformative role in learning, development, and content management. Jack shares his journey in AI, insights into generative AI’s rapid advancements, and the challenges of ensuring accuracy and trust in these systems. The conversation explores how AI as a tool to enhance human capability, how organizations can implement AI responsibly, and the disruptive potential of AI agents in reshaping user experiences. They also discuss the critical importance of data quality, accountability in AI workflows, and what the future holds for AI’s integration into our lives. Keywords Generative AI, AI in Learning and Development, Responsible AI, AI Agents, Data Quality, Trust in AI, Human-AI Interaction, Workflow Automation, Knowledge Management, Innovation in AI Takeaways Generative AI is reshaping user interactions with technology, but accuracy and trust are essential. AI should enhance human capability, not replace it. Data quality and transparency are critical for responsible AI workflows. AI agents offer opportunities for efficiency but require careful design to avoid bias or errors. Organizations must focus on verified knowledge and user-friendly AI applications. AI tools can transform learning and development by curating personalized journeys. Responsible AI implementation involves regular audits, observability, and human oversight. Future AI applications may enable highly personalized support systems across various domains. Sound Bites "Can technology adapt to people instead of the other way around?" "Generative AI makes enterprise content management faster, simpler, and more intuitive." "Trust is critical — we need accuracy to avoid hallucinations in AI." "Every single SaaS application will soon integrate conversational workflows." "The future of AI is all about enhancing, not replacing, human potential." "Data quality is the lifeblood of effective AI systems." "Responsible AI requires accountability and transparency at every step." "AI agents will eventually outnumber humans in multi-agent workflows." Chapters 00:00 - Introduction to Jack Houghton and Mindset AI 02:21 - Early AI experiences and the evolution of machine learning 03:39 - The impact of generative AI on content management systems 05:28 - Challenges of trust, accuracy, and hallucinations in AI 07:28 - Target use cases for AI in learning and development 09:10 - AI coaches and performance support tools 11:19 - Measuring ROI and impact of AI tools in organizations 14:37 - Balancing efficiency, trust, and employee expectations with AI 19:04 - The integration of AI agents with legacy systems 26:12 - Rethinking software and SaaS in the era of AI agents 31:08 - Responsible AI: Addressing data quality, bias, and accountability 38:12 - Future scenarios for AI agents and their integration into everyday life 44:04 - Closing thoughts on advancing AI responsibly Jack Houghton: https://www.linkedin.com/in/jack-houghton1 Mindset AI: https://www.mindset.ai/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    42 min

  3. DEC 3

    Using Data and Responsible AI to Reimagine Hiring Success with Barb Hyman

    Bob Pulver speaks with Barb Hyman, CEO and founder of Sapia.ai, about the transformative role of AI in recruitment and HR. Barb shares her journey from law to HR and the inception of Sapia.ai, emphasizing the need for data-driven hiring practices that challenge biases and improve candidate experiences. The conversation explores the complexities of global regulations surrounding AI, the importance of ethical AI practices, and the future of HR technology, highlighting the shift towards self-service solutions and the critical role of retention metrics in evaluating hiring success. Barb and Bob discuss the evolving role of HR in talent acquisition, emphasizing the importance of data-driven decision-making and the impact of AI on recruitment processes. Barb explains how benchmarking can enhance HR performance and accountability, and she shares her perspective on the future of data ownership in HR, highlighting the need for individuals to have control over their data. They also talk about the potential for AI to transform learning and development, and why organizations must generate excitement about AI opportunities to drive widespread adoption. Keywords Sapia.ai, Barb Hyman, AI in hiring, recruitment technology, bias in hiring, ethical AI, HR technology, global regulations, data-driven hiring, employee retention, HR, talent acquisition, data-driven decision making, AI in recruitment, candidate experience, hiring process, data ownership Takeaways Barb Hyman's diverse background informs her approach to HR and AI. Data and science are crucial in reimagining hiring processes. The hiring process should minimize information asymmetry. Bias in hiring can be challenged by using chat-based interviews. Global regulations on AI vary significantly, impacting recruitment. Trust and transparency are essential for ethical AI practices. Retention metrics should be prioritized over engagement metrics. The future of HR technology lies in API-driven solutions. Self-service tools can enhance employee development and feedback. HR leaders must adapt to a rapidly changing landscape.  HR must enable hiring managers to make informed decisions. Data-driven insights can transform L&D programs. HR is overwhelmed with data that lacks utility. Benchmarking HR performance creates accountability. AI is changing the recruitment landscape significantly. The candidate experience should be dignified and valued. Data ownership is shifting towards employees. AI can enhance the efficiency of hiring processes. Organizations need to rethink their recruitment strategies. Excitement about AI can drive its adoption in HR. Sound Bites "Trust is one of our values." "The power of AI is that you get better." "Don't buy any more platforms." "Retention is the North Star metric for HR." "The whole world of HR is changing." "HR are the ultimate decision makers." "HR is drowning in data, but none is useful." "Data ownership gives people agency." "How do we get people excited about AI?" Chapters 00:00 Introduction to Barb Hyman and Sapia.ai 02:53 The Importance of Data in Hiring 05:47 Challenging Bias in Recruitment 08:50 Navigating Global Regulations in AI Hiring 11:57 Building Trust and Ethical AI Practices 14:58 The Future of HR Technology and AI 17:48 Understanding Skills and Retention Metrics 27:42 The Evolving Role of HR in Talent Acquisition 30:49 Data-Driven Decision Making in HR 32:50 Benchmarking HR Performance for Accountability 34:28 The Impact of AI on Recruitment Processes 38:01 Enhancing the Candidate Experience 42:45 Reimagining the Hiring Process 48:27 The Future of Data Ownership in HR Barb Hyman: https://www.linkedin.com/in/barbarahyman Sapia.ai: https://sapia.ai For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    52 min

  4. NOV 28

    Generative AI in the Context of Technological Evolution and Culture Change with John Hansen

    Bob Pulver speaks with John Hansen, Chairman and CEO of Atana, about his extensive background in technology, the importance of diversity in the tech industry, and the transformative potential of AI. John shares his journey through various tech companies (this is his 8th, in fact), his passion for creating inclusive workplaces, and his insights on the latest advancements in generative AI. Bob and John discuss the user experience with AI, the adoption challenges it faces, and the enduring need for human touch in technology. They discuss the overarching challenges and opportunities presented by modern technology, particularly in the context of learning and development. John shares stories and insights from his experiences in Africa, highlighting how leapfrogging technology can lead to significant advancements. John talks about the unique characteristics of Gen Z as digital natives and the importance of adapting educational methods to better serve future generations. The conversation emphasizes the need to maximize human potential through technology while addressing the challenges of integrating new tools responsibly. It’s an enlightening discussion exploring the intersection of technology, culture, and education.  Keywords AI, technology, diversity, generative AI, workplace transformation, human-AI interaction, John Hansen, Atana, leadership, innovation, technology, AI, learning, development, Gen Z, digital natives, leapfrogging, education, infrastructure, cultural change Takeaways John Hansen has founded eight companies and has a strong background in technology. Diversity in decision-making bodies leads to better outcomes. Generative AI represents a significant shift in user interaction with technology. AI should support human endeavors rather than replace them. The limitations of AI include issues with authenticity and hallucinations. Human touch and physical interaction remain important despite technological advancements. AI can enhance content creation but still requires human input. The future of technology will involve a blend of AI and human creativity. Sticky notes may persist as a preferred method of note-taking for many. Legacy infrastructure often hinders technological advancement. Cultural traditions can coexist with modern technology. Leapfrogging technology can lead to unexpected breakthroughs. AI's evolution presents both opportunities and challenges. Different learning modalities serve different educational needs. In-classroom instruction should focus on engagement, not just knowledge transfer. Gen Z's digital skills are unmatched, but they face social challenges. Technology can help eliminate intellectual waste in learning. Companies must adapt to the strengths of new generations. Responsible use of technology is crucial for future success. Chapters 00:00 Introduction to John Hansen and Atana 06:05 The Importance of Diversity in Tech 12:01 User Interaction with AI 18:00 Challenges and Limitations of AI 26:23 Legacy Infrastructure vs. Modern Technology 32:10 The Evolution of AI: Breakthroughs and Challenges 45:04 Gen Z: The Digital Natives and Their Impact 51:30 Maximizing Human Potential with Technology John Hansen: https://www.linkedin.com/in/johnjhansen Atana: https://www.atana.com  For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    55 min

  5. NOV 26

    Bridging the Skills Gap and Empowering Women in AI with Isabelle Bichler

    Bob Pulver speaks with Isabelle Bichler, co-founder and COO of Retrain.ai, about the critical role of responsible AI in HR and the pressing skills gap in the workforce. Isabelle’s background is beyond impressive, and in addition to her leadership role, she inspires future leaders through mentorships across the US and Israel. Bob and Isabelle discuss the importance of data in HR decision-making, the cultural shifts needed for AI adoption, and the significance of continuous learning and adaptability in the face of rapid technological change. Isabelle emphasizes the need for responsible AI practices and the role of women in tech, while also exploring the future of AI in HR and the importance of AI literacy for organizations. Keywords AI, HR, skills gap, responsible AI, workforce development, data analytics, talent acquisition, continuous learning, women in tech Takeaways Isabelle emphasizes the importance of responsible AI in HR. The skills gap is a pressing issue that needs addressing. Retrain.ai aims to bridge the skills gap through innovative solutions. Data quality and integration are crucial for effective HR practices. AI can enhance human capabilities rather than replace them. Continuous learning and adaptability are essential in the AI era. Women are underrepresented in AI, which is critical to address. AI literacy is vital for organizations to succeed in the digital age. Responsible AI practices must be integrated from the start. Sound Bites "We established Retrain to solve the skills gap." "44% of workers will need upskilling by 2027." "Women need to augment their ability with AI." "AI can enhance you, not replace you." "Responsible AI must be designed from the start." "Data quality is the lifeblood of AI." "We need to embrace exploration in AI." Chapters 00:00 Introduction to Responsible AI in HR 03:01 The Skills Gap and Its Implications 05:53 Retrain.ai: Bridging the Skills Gap 08:59 The Importance of Data in HR 11:47 AI and the Future of Work 15:05 Cultural Shifts in AI Adoption 17:54 Responsible AI: Balancing Innovation and Ethics 21:09 The Role of Women in AI 23:48 Contingent Workforce and Skills Intelligence 27:04 The Future of AI in HR Tech 29:50 AI Literacy and Organizational Readiness 32:48 Conclusion and Future Outlook Isabelle Bichler: https://www.linkedin.com/in/isabelle-bichler-eliasaf-9504191 Retrain.ai: https://www.retrain.ai/platform/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    41 min

  6. NOV 21

    Establishing a Foundation of Trust and Assurance in AI-Powered Solutions with Jeff Pole

    Bob Pulver speaks with Jeff Pole, co-founder and CEO of Warden AI, about the critical issues surrounding trust in AI technology, particularly in the context of HR and recruitment. They discuss the importance of third-party assurance in AI systems, the fluidity of AI terminology, and the need for continuous monitoring to ensure compliance and fairness. Jeff shares insights on how AI can potentially enhance fairness in hiring practices and the implications of emerging AI legislation across the globe. Bob and Jeff discuss the widespread issue of age discrimination in hiring, and Warden AI’s newly announced capabilities to check for age bias in AI-powered hiring solutions. They explore future opportunities and challenges in Responsible AI governance, including the implications of existing discrimination laws, the need for comprehensive data to assess bias, and the evolving landscape of AI adoption in various sectors, particularly in the public domain. Bob and Jeff conclude by emphasizing the importance of balance between innovation and ethical considerations in AI to maintain trust across stakeholder communities. Keywords AI, trust, assurance, governance, HR technology, bias, compliance, monitoring, legislation, fairness, AI, age bias, discrimination, responsible AI, governance, technology, workforce, regulations, innovation, public sector Takeaways AI technology can be a force for good if used correctly. Warden AI focuses on third-party assurance for AI systems. Continuous monitoring of AI is crucial for trustworthiness. The terminology around AI governance is fluid and evolving. Legislation is pushing for more transparency in AI processes. AI can help identify and correct bias in recruitment. The potential for AI to improve fairness in hiring is significant. Emerging laws will likely increase scrutiny on AI systems. AI can help unlock hidden talent pools in the workforce. The future of AI in HR is about enhancing diversity and inclusion.  Age discrimination is a significant issue in hiring. AI systems must comply with existing discrimination laws. The first AI bias lawsuit was related to age discrimination. Employers can unintentionally lead to discriminatory outcomes. Five generations will soon be part of the workforce. Data collection is crucial for assessing AI bias. Counterfactual analysis is a technique to test AI systems. Responsible AI practices can coexist with innovation. AI literacy is essential for effective adoption. AI adoption is a gradual process, not an immediate change. Sound Bites "How can we trust and safely adopt AI?" "Technology can be a force for good in society." "We're working on age bias detection capability." "The first AI bias lawsuit was for age bias." "We have to keep in mind existing legislation." "Five generations will be in the workforce soon." "We bring our own data to test AI systems." "Counterfactual analysis helps assess AI bias." "AI can augment human processes effectively." "It's a marathon, not a sprint with AI adoption." Chapters 00:00 Introduction to AI and Trust Issues 03:00 Warden AI's Mission and Assurance Role 05:50 Understanding AI Terminology and Governance 08:51 The Importance of Continuous Monitoring 12:13 AI in HR: Opportunities and Challenges 14:45 The Role of Legislation in AI Assurance 18:10 AI's Potential for Fairness in Hiring 21:05 The Future of AI and Workforce Diversity 28:59 Addressing Age Bias in AI Systems 41:24 Navigating Responsible AI and Governance 50:34 The Future of AI: Opportunities and Cautions Jeff Pole: https://www.linkedin.com/in/jeffrey-pole-91887a44 Warden AI: https://www.warden-ai.com/ Addressing Age Discrimination: https://www.warden-ai.com/blog/age-bias-ai-hiring-age-discrimination-fairer-recruitment For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    50 min

  7. NOV 19

    How Talent Intelligence and Human-Centric AI Are Impacting Workforce Dynamics with Toby Culshaw

    Bob Pulver and Toby Culshaw, a 20-year talent industry veteran and author of "Talent Intelligence: Use Business and People Data to Drive Organizational Performance," delve into the evolving landscape of talent intelligence, the current dynamics of the labor market, and the impact of AI on workforce management. They discuss the importance of community engagement in talent acquisition, the challenges of employee retention, and the ongoing debate around remote versus in-office work. The conversation highlights the need for transparency in organizational changes and the role of AI in shaping future workforce strategies. Toby and Bob explore how AI and automation are evolving, including the implications for cost dynamics, work redesign, and the redefinition of roles in talent acquisition. They emphasize the importance of maintaining a human element in management and leadership, while also addressing the ethical considerations of AI in the workplace. The discussion highlights the need for creativity and the balance between AI and human input, as well as practical advice for individuals looking to enhance their AI literacy. Keywords Talent Intelligence, Labor Market, AI, Employee Engagement, Remote Work, Workforce Management, Community Engagement, Organizational Change, Talent Acquisition, Future of Work, AI, automation, future of work, talent acquisition, human element, leadership, technology, creativity, AI literacy, productivity Takeaways Talent intelligence is essential for understanding the external labor market and internal workforce needs. Current labor market dynamics show low attrition rates due to job security concerns. Companies need to adapt to the changing workforce dynamics post-COVID. Understanding the intersection of AI and talent intelligence is crucial for future strategies.  Roles in talent acquisition are likely to be redefined due to AI. AI can enhance decision-making but should not replace human responsibility. The future of work will involve more fluid and organic structures. The community plays a crucial role in sharing knowledge and resources in talent intelligence. Ethical considerations are crucial when implementing AI in leadership. Creativity and human touch are essential in content creation. AI tools should complement rather than replace human roles. Continuous learning and adaptation are necessary in the age of AI. Sound Bites "People want to be treated like a grown up." "AI is already taking on quite a few tasks." "We need very clear rules and engagement." "AI tools should complement the manager." "We need to rethink success metrics." "We can't let it be the end editor." Chapters 00:00 Introduction to Talent Intelligence and Community Engagement 03:05 The Role of Talent Intelligence in Modern Organizations 06:06 Understanding the Current Labor Market Dynamics 09:00 The Impact of AI on Talent Acquisition and Workforce Management 12:13 Employee Engagement and Retention Strategies 15:14 The Future of Work: Remote vs. In-Office Dynamics 18:12 Navigating Organizational Change and Transparency 21:03 The Intersection of AI and Talent Intelligence 31:02 The Cost Dynamics of AI and Automation 33:22 Navigating the Future of Work 35:42 Redefining Roles in Talent Acquisition 38:54 The Human Element in AI Management 40:47 The Future of Work Structures 42:39 Ethics and AI in Leadership 45:01 Exploring New Technologies in Work 48:56 The Balance of AI and Human Creativity 57:54 Advice for Embracing AI Literacy Toby Culshaw: https://www.linkedin.com/in/tobyculshaw Talent Intelligence Collective: https://talentintelligencecollective.substack.com/ “Talent Intelligence: Use Business and People Data to Drive Organizational Performance” (Toby’s book): https://www.amazon.com/Talent-Intelligence-Business-Organizational-Performance/dp/1398607231 For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    57 min

  8. NOV 14

    Storytelling as a Critical Human Skill in the Age of AI with Joe Lazer

    Bob Pulver and Joe Lazer explore the evolution of AI, its implementation challenges in business, and the importance of storytelling in the age of AI. Joe shares his personal journey in the AI space, discussing his experiences at Contently and A-Team, and how companies are navigating the complexities of AI adoption. Bob and Joe delve into the significance of the human touch in content creation and the future of AI detection. They explore the importance of maintaining authenticity and unique human elements in quality storytelling. They discuss the potential dangers of relying too heavily on AI, particularly in the context of youth engagement and the development of communication skills. The conversation also touches on practical advice for writers on how to leverage AI as a thought partner while preserving their unique voice and ideas. Finally, they speculate on the future of storytelling in the age of AI, highlighting the need for responsible use and the potential for collective intelligence in creative processes. Keywords AI, storytelling, business strategy, generative AI, content marketing, innovation, technology, entrepreneurship, partnerships, implementation challenges, AI, content creation, authenticity, storytelling, digital twins, youth engagement, writing therapy, responsible AI, creativity, technology Takeaways Storytelling is becoming increasingly important in the age of AI. Understanding client needs is crucial for successful AI projects. Partnerships and ecosystems are essential for AI development. The last mile of AI implementation is often the hardest. Generative AI is reshaping business strategies. AI detection tools are still in development. The future of work will heavily rely on soft skills; AI can enhance productivity but shouldn't replace original thinking. Authenticity in storytelling is crucial; AI cannot replicate personal experiences. Digital twins may undermine trust and authenticity in content creation. Younger audiences are drawn to authentic, relatable content. AI tools can serve as thought partners for writers. Storytelling will be a vital skill in the AI age. AI can help connect disparate ideas and personal stories. Curiosity and hands-on experience with AI tools are essential. The future of storytelling may involve collective intelligence and co-creation. Responsible AI use is critical, especially concerning youth engagement. Sound Bites "AI has created a groundswell of interest." "What's the actual high ROI use case?" "Every company wants to talk to their data." "We need better watermarking and AI detection." "AI content is often dull and soulless." "Digital twins defeat the point of authenticity." "Nobody wants personalized versions of TV shows." "AI can be a thought partner for writers." "Be curious; spend 10 hours using AI tools." Chapters 00:00 Introduction to AI and Personal Background 03:14 The Evolution of AI in Business 05:59 Navigating AI Implementation Challenges 09:04 Understanding Client Needs and Market Dynamics 11:47 The Role of Storytelling in the Age of AI 15:01 Building Partnerships and Ecosystems 17:53 Personal Projects and Future Aspirations 20:59 The Importance of Human Touch in AI Content 23:57 AI Detection and the Future of Content Creation 26:58 The Role of AI in Content Creation 30:12 Authenticity vs. Digital Twins 32:36 The Human Element in Storytelling 34:36 Navigating AI's Impact on Youth 36:46 Writing Therapy and AI as a Thought Partner 43:41 Future Horizons of AI in Storytelling Joe Lazer: https://www.linkedin.com/in/joe-lazer-lazauskas-8b442026 Joe’s blog: https://storytellingedge.substack.com/ Joe’s book, “The Storytelling Edge”: https://www.amazon.com/Storytelling-Edge-Transform-Business-Screaming/dp/1119483352/ A.Team: https://www.a.team/ For advisory work and marketing inquiries: Bob Pulver: https://linkedin.com/in/bobpulver Elevate Your AIQ: https://elevateyouraiq.com

    46 min
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About

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 leaders, and practitioners who provide diverse perspectives on how AI is solving real-world challenges and driving responsible innovation.

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