The Importance of Emotion Intelligence with AI-driven Supply Chains

The Importance of Emotion Intelligence with AI-driven Supply Chains

In today's rapidly evolving landscape, the synergy between humans and machines is not just a trend but a necessity. My article explores the critical role of supply chain emotional intelligence in the age of automation. It examines how AI-driven supply chain management transforms operations and it also examines the criticality of the human touch.

I will delve into human-AI collaboration in supply chains, highlighting its potential to unlock unprecedented efficiency and innovation. We’ll also investigate how emotional intelligence in logistics is essential for navigating complex challenges and building strong relationships. For EQ for supply chain professionals will be the key differentiator, enabling effective communication, problem-solving, and leadership.

We'll look at balancing AI and human skills in supply chain environments. Also, I will offer practical guidance for emotional intelligence training for supply chain teams and how to navigate AI adoption challenges in supply chain implementations.

Ultimately, we will be reinforcing supply chain leadership and emotional intelligence to build resilient and adaptable networks. The final outcome of all that will be improving supply chain relationships with EI. Let's begin exploring what the relevance of EI is in today's world of the supply chain.

The Relevance of EI in Today's Digital World

Before we dive in, let's get some clarity on Emotional Intelligence (EI), or as it's sometimes known, Emotional Quotient (EQ). Daniel Goleman (Wikipedia) is considered by many as the father of emotional intelligence; you could say that he was the guy that made it mainstream and really popularized the concept.

Supply Chain Emotional Intelligence

He defined it as the ability to understand and manage your own emotions, and to recognize and influence the emotions of those around you. It's not about academic degrees, or IQ, its about being a true "people person". In the words of Danial Goleman, what really matters for success, character, happiness and life long achievements is a definite set of emotional skills – your EQ — not just purely cognitive abilities that are measured by conventional IQ tests. CEOs are hired for their intellect and business expertise - and fired for a lack of emotional intelligence

Goleman (LinkedIn profile) outlined five key components of emotional intelligence:

  • Self-Awareness: Recognizing your own emotions and how they affect your behavior and decision-making. It's knowing your strengths and weaknesses, and understanding your triggers.
  • Self-Regulation: Managing your emotions, controlling impulsive feelings and behaviors, and adapting to changing circumstances. It's about staying cool under pressure and not flying off the handle when things go south.
  • Social Awareness: Understanding the emotions, needs, and concerns of other people, picking up on social cues, and feeling comfortable socially. It's about "reading the room," even when that room is a Zoom call.
  • Empathy: Truly understanding another person's experience, perspective, and feelings. It's more than just feeling for someone; it's feeling with them.
  • Motivation: Being driven to achieve for internal reasons, rather than external rewards. It's about having a passion for your work and a positive attitude, even when facing challenges.

In our world of supply chain, to be truly effective we need to be adaptable, agile, we must be more than open to change, we must thirst for it and that most definitely come from EI not IQ.

The Idiocy and Genius of AI

AI is transforming every link in the supply chain and we can't manage todays AI-driven supply chains with yesterday's mindset, and that also means supply chain emotional intelligence has never been more important. Every aspect is undergoing change from demand forecasting and inventory optimization to logistics and route planning.

There no doubt that this rapid technological advancement brings undeniable benefits – increased efficiency, reduced costs, and improved decision-making. But, with great power comes great… well, potential for chaos if we lose sight of the fact that it is our human emotional intelligence that actually allows it to all work.

It's Emotional Intelligence That Can Make Sense of it All

In this era of AI-driven transformation, emotional intelligence is no longer a "nice-to-have" skill; it's a critical and crucial differentiator. It's the ability to navigate complex relationships, build trust, manage conflict, and lead through change – all essential for thriving in a tech-heavy, data-driven supply chain environment. AI can crunch numbers, but it can't empathize with a frustrated supplier, negotiate a delicate deal, or inspire a team to embrace new technology. That's where the need for EI comes in.

Using EI to Thrive in the World of AI-Driven Supply Chains

This is your practical guide to leveraging emotional intelligence in the age of AI. We'll explore actionable strategies for developing your EI skills. We'll also take a look at emotionally intelligent (Centaur) teams, the human-AI collective dynamic.

You will learn how to navigate the challenges and opportunities that AI-driven supply chains bring to the table. By assimilating all the knowledge packed into my article, you'll be able to unleash your hidden super-power, which is of course a highly tuned and focused emotional intelligence.

Okay, so now we've established that emotional intelligence isn't just some airy-fairy new-age mental candy floss. A super-power EI may be, but before we get ahead of ourselves and start imagining........

........AI getting depressed and upset over delayed shipments. Let's acknowledge the elephant in the server room....AI may be a big deal at the moment but it is not even out of the cot yet, we're in it's very early stages in 2025.

OK, it's automating tasks, crunching data like a gigantic pacman on steroids, and generally making our supply chains more efficient (in theory, anyway). So, where does EI fit into this brave new world? Is it just a matter of time before AI makes us all obsolete, emotionally and professionally? Let's unpack this a bit, AI is well on its way to being deeply embedded in every facet of supply chain operations.

We're talking about:

  • Predictive Analytics: Forecasting demand with spooky accuracy (when the algorithms are working right, that is).
  • Robotic Process Automation (RPA): Automating repetitive tasks like order processing and invoice reconciliation (goodbye, paper cuts!).
  • Optimized Logistics: Finding the most efficient routes and delivery schedules (saving fuel and reducing delays).
  • Improved Inventory Management: Keeping stock levels lean and mean, reducing waste and maximizing efficiency (in theory, anyway).

The benefits are clear; increased efficiency, reduced costs, and improved decision-making. AI is allowing us to do more with less... but it's not a magic bullet, at least not yet...!

EI vs. AI

Here's the kicker; AI is amazing at processing data and executing tasks, but it's utterly clueless when it comes to things like:

  • Empathy: AI can't understand the frustration of a supplier facing a sudden raw material shortage.
  • Nuanced Communication: It can't navigate a delicate negotiation with a demanding customer.
  • Complex Problem-Solving Requiring Emotional Understanding: It can't resolve a conflict between team members with differing opinions.

AI is a powerful tool, but it lacks the human touch. It can't understand the unspoken cues, the emotional undercurrents, or the subtle nuances that drive human interaction. AI can only perform tasks that it has been trained for.

For now, AI is very bad at thinking "outside of the box". It cannot react to changing situations that require creative thinking, emotional thinking or even just basic common sense.

The Risk of an Emotionally Deaf Supply Chain

What happens when we prioritize AI over EI? The consequences can be significantly bad:

  • Strained Relationships: Neglecting the human element can damage relationships with suppliers, customers, and colleagues, leading to mistrust and conflict, stress and frustration.
  • Poor Team Dynamics: A lack of empathy and understanding can create a toxic work environment, hindering collaboration and innovation, and making work a horrible place to be.
  • Resistance to Change: Employees may resist AI adoption if they feel their jobs are threatened or their voices are not heard, the purpose of AI is to make it easier for people, a tool that allows us to make better decisions, it broadens our outlook and lets us see farther ahead

An emotionally-deaf supply chain is a brittle supply chain. It's less adaptable, less resilient, and less likely to succeed in the long run. If you have a supply chain that is not user friendly does, or makes it difficult to manage and satisfy customers, then the system will be doomed to continually falling over. The result is people will work around it or outside it. It also creates volatile and and negative emotions in those that have to use it to do their job.

An EI Toolkit Built with You in Mind

So, we've established that AI is changing the game, but the key to winning is applying EI. But how do you actually do emotional intelligence? What does it look like in the trenches of a modern, AI-driven supply chain? Let's break down the essential EI skills and how to apply them in your daily routine. Think of this as your Swiss army knife of EI – ready for anything!

Self-Awareness - Knowing Thyself & What Triggers You

Self-awareness is the foundation of emotional intelligence. It's about understanding your own emotions, strengths, weaknesses, and values. In the context of a fast-paced, data-heavy supply chain, this means:

  1. Recognizing Your Emotional Triggers in an AI-Driven World: The relentless pace, constant connectivity, and data overload of AI can wreak havoc on your emotions. Are you prone to frustration when systems crash? Do you get anxious when facing tight deadlines? Recognizing these triggers is the first step to managing them.
  2. Turning "Gut Feelings" into Data Points: Blending Intuition with Data Analysis: Data is great, but it doesn't always tell the whole story. Learn to recognize your "gut feelings" and blend them with data analysis to make more informed decisions. If the data says a supplier is reliable, but your gut tells you otherwise, dig deeper. Your intuition might be picking up on something the numbers are missing.

Actionable Tip: Keep a journal to track your emotions throughout the day. Note what events triggered specific feelings and how you reacted. This will help you identify your patterns and triggers. This is your own internal continuous self-improvement journey

Staying Cool - Not Making Rash Decisions

Self-regulation is the ability to manage your emotions, control impulsive behaviors, and adapt to changing circumstances. In the supply chain world, this means:

  1. Impulsivity in the Age of Instant Information: The constant stream of real-time data can lead to rash decisions based on incomplete information. Take a breath, step back, and analyze the situation before reacting.
  2. Strategies for De-Stressing and Maintaining Composure: Supply chain crises are inevitable. Develop strategies for de-stressing and maintaining composure in the face of chaos. This could include mindfulness exercises, deep breathing techniques, or simply taking a short walk to clear your head. Identify the tools that help you turn down your internal stress levels.

Actionable Tip: Practice mindfulness meditation for just 5-10 minutes each day. This can help you become more aware of your thoughts and emotions and improve your ability to regulate them.

Social Awareness - Reading the Room

Social awareness is the ability to understand the emotions, needs, and concerns of other people, whether working in logistics or supply chains, this means:

  1. Reading the Room (Even When It's a Virtual Room): In an increasingly remote and distributed world, it's essential to be able to read non-verbal cues in online interactions. Pay attention to tone of voice, body language (if visible), and the overall sentiment of messages. There are also times where you need to read between the lines....
  2. Connecting with Colleagues and Stakeholders on a Humanistic Level: It's easy to get lost in the data and forget that there are other real people working in supply chain. Remember to connect with colleagues and stakeholders on a human level, even when dealing with technical issues. Empathy goes a long way.

Actionable Tip: Practice active listening, pay close attention to what others are saying, the way they're saying it; ask clarifying questions, and summarize their points to ensure you understand their perspective. Learn to ask the right questions to get the information you need.

Relationship Management - Building Bridges, Not Walls

Relationship management is the ability to build and maintain strong relationships with others. In the context of the AI-driven supply chain, this means:

  1. Building Trust with AI to Effectively Collaborate and Leverage the AI: AI is a tool, not a replacement for human interaction. Learn how to effectively collaborate with AI tools and leverage their capabilities to enhance your decision-making. The human touch is still very important.
  2. Navigating Resistance to AI with Empathy and Understanding: AI adoption can be met with resistance from employees who fear job displacement or lack confidence in their ability to use new technologies. Lead through this change with empathy and understanding, providing training, support, and clear communication about the benefits of AI.

Actionable Tip: When communicating about AI-related changes, focus on how the changes will benefit employees and the organization as a whole. Highlight the opportunities for skill development and career advancement.

  1. How can you persuade your peers to use AI within the supply chain? Highlight its use in cutting costs, and more efficient processes, to reduce the number of mundane tasks, freeing up time for more creative work.
  2. How can you improve your persuasion skills? By using statistics to highlight AI success stories, keep up to date with the latest AI innovations, and talk to AI experts, to enable you to promote new ideas.

Tips to Improve Your EI

Emotional Intelligence

Self-Awareness

Self-Management

Motivation

Empathy

Social Skills

What Not to Do

EI - Individuals, Teams, & AI Interactions

Emotional Intelligence Free Online Resources and Tools

  • Emotional Intelligence Toolkit (Help Guide.org). Want to become a happier, healthier you? This free program offers tools for managing stress and emotions, improving your relationships, and bringing your life into balance. (Link)
  • Workplace Strategies for Mental Health, Emotional Intelligence Self-assessment This free tool can help you improve your self-awareness, social awareness, self-management, and relationship management. (Link)?
  • Alison, Develop Your Emotional Intelligence. Learn how your emotions influence how you perform, build relationships, and make decisions with this free online course. (Link)
  • Alison, Diploma in Emotional Intelligence. Learn the skills needed to develop emotional intelligence that influences self-awareness in this free online course. (Link)
  • Digitaldefynd, 10 Free Emotional Intelligence Courses 2025. (Link)
  • Global Leadership Foundation, Free Emotional Intelligence Test. Based on Goleman’s four-quadrant Emotional Intelligence Competency Model. (Link)
  • Last Eight Percent, free EQ quiz, (Link)

Building Emotionally Intelligent "Centaur" Supply Chain Teams

Human-AI collaboration in supply chains is the order of the day. Forget the old-school notion of humans versus machines. The future of supply chains is about people and machines working in harmony together, this is the fundamental foundation of – "Centaur" teams.

Like the mythical creature, these teams combine the strengths of both: AI handles the data crunching and automation, while humans bring their EI, creativity, and critical thinking to the table. However, building these Centaur teams requires a deliberate focus on EI.

Check out my LinkedIn article; "The Future of AI in Logistics & SCM is Centaur Teams"

The Upskilling Framework - Developing Centaur Teams

Once you've assembled your Centaur team, it's essential to provide ongoing training and development to enhance their EI skills.

This could include:

  • EI Workshops and Training Programs: Invest in workshops and training programs that focus on developing self-awareness, self-regulation, social awareness, empathy, and relationship management skills. These programs can provide team members with practical tools and techniques for improving their EI.
  • Mentoring and Coaching: Pair team members with experienced mentors or coaches who can provide guidance and support in developing their EI skills.
  • Cross-Functional Training: Encourage team members to participate in cross-functional training programs to gain a better understanding of the roles and responsibilities of their colleagues. This can foster empathy and improve collaboration.
  • AI training: It is important to train people on how the AI software makes its choices, there may come a time where it is necessary to override the AI choices for good business reasons.

Key takeaway: Make EI development a continuous process, providing ongoing opportunities for team members to learn and grow their emotional intelligence skills. Remember, even those who have strong EI skills will benefit from ongoing development.

Fostering a Culture of Empathy & Collaboration

Creating a Centaur-Friendly Environment

Building an emotionally intelligent Centaur team requires more than just hiring and training; it also requires creating a work environment that values and encourages EI. This means fostering a culture of empathy, collaboration, and open communication.

  • Promote Open Communication: Encourage team members to share their thoughts, ideas, and concerns openly and honestly. Create a safe space where people feel comfortable expressing their emotions without fear of judgment.
  • Recognize and Reward EI Skills: Publicly recognize and reward team members who demonstrate strong EI skills. This can help to reinforce the importance of EI and encourage others to develop their skills.
  • Lead by Example: As a leader, model emotionally intelligent behavior by demonstrating empathy, active listening, and respect for others. Your actions will set the tone for the entire team.
  • Embrace Diversity and Inclusion: Create a diverse and inclusive work environment where everyone feels valued and respected. This can foster empathy and improve team collaboration.

Key takeaway: Cultivate a work environment where EI is not just valued, but expected. Encourage open communication, recognize and reward EI skills, and lead by example to create a truly emotionally intelligent Centaur team. Remember, the goal is to create a workplace where people and AI have a symbiotic partnership that works well for everyone.

Organizational Culture, & the Learning Organization

Organizational culture and learning organizations, these two concepts are fundamental pillars in any organization, and if carefully constructed, they can deliver value, avoid risk, promote best practice and improve performance.

Leading with Emotional Intelligence in the Era of AI

Leaders play a crucial role in setting the tone for emotional intelligence within an organization. In the context of AI integration, emotionally intelligent leadership becomes even more vital.

Key Leadership Traits for the AI Age:

  • Adaptability and openness to change
  • Empathy towards team members' concerns about AI
  • Ability to communicate the vision for human-AI collaboration
  • Self-awareness of one's own biases towards or against AI

Strategies for EI-Driven Leadership:

  • Lead by example in embracing both EI skills and AI tools
  • Create opportunities for team members to voice concerns about AI integration
  • Provide clear communication about the role of AI and its impact on jobs
  • Recognize and celebrate successful human-AI collaborations

Case Studies: EI in Action – The Good, the Bad, and the Ugly (and What We Can Learn)

Time to get real. We've talked about the theory, but how does this EI stuff actually play out in the real world? Let's dive into some case studies from the supply chain trenches, examining both successes and failures, and extracting valuable lessons along the way.

Case Study 1: The Great Demand Forecasting Debacle

And How Empathy Saved the Day

  • The Situation: A major consumer goods company implemented an AI-powered demand forecasting system that initially predicted a massive surge in demand for a particular product line. Production was ramped up accordingly, but the surge never materialized, resulting in a huge inventory glut and significant financial losses.
  • The Good: The company quickly realized the issue and formed a cross-functional Centaur team of data scientists and seasoned sales and marketing professionals.
  • The Bad: The initial AI-driven forecast failed to account for external factors like a competitor's promotional campaign, changing consumer preferences and tariff increases.
  • The Ugly: The sales and marketing team initially resisted the AI's forecast, but their concerns were dismissed by management, leading to a lack of communication and a missed opportunity to correct the error.
  • The EI Intervention: A new leader, with high EI skills, stepped in and facilitated open communication between the data scientists and the sales/marketing team. This leader realized the need to use BOTH, people and AI input. The sales team felt like their concerns were finally being heard, so they told the AI team that they could have predicted the error months before based on industry trends.

What Would You Do Differently?:

  • From the Start: Encourage collaboration and open communication between data scientists and domain experts (sales, marketing, etc.).
  • Establish Clear Communication Channels: Implement a formal process for incorporating feedback from domain experts into the AI forecasting model.
  • Validate Assumptions: Regularly validate the assumptions underlying the AI model against real-world data and market insights.

Case Study 2: The Supplier Relationship Meltdown

And How Active Listening Prevented a Disaster

  • The Situation: A manufacturing company relied heavily on a single supplier for a critical component. When the supplier experienced a major disruption due to a natural disaster, the manufacturing company faced a severe production shutdown.
  • The Good: The manufacturing company had previously established a strong relationship with the supplier, built on trust and open communication.
  • The Bad: The initial response from the supplier was slow and lacked empathy, leading to frustration and anger on the part of the manufacturing company. There was a lack of transparent communication.
  • The Ugly: The manufacturing company initially threatened legal action, which further strained the relationship and delayed the resolution of the issue.
  • The EI Intervention: The supply chain director, known for his high EI, intervened and initiated a series of empathetic conversations with the supplier. By actively listening to the supplier's challenges and offering support, he was able to rebuild trust and develop a collaborative solution.

What Would You Do Differently?:

  • Diversify Suppliers: Reduce reliance on single suppliers to mitigate the impact of disruptions.
  • Establish Clear Communication Protocols: Implement formal communication protocols for crisis situations, ensuring timely and transparent updates.
  • Prioritize Relationship Building: Invest in building strong relationships with key suppliers, fostering trust and open communication.

Case Study 3: The AI Implementation Resistance

And How Empathy Eased the Transition

  • The Situation: A logistics company implemented a new AI-powered route optimization system. However, the system was met with resistance from drivers, who felt their jobs were threatened and their expertise was being devalued.
  • The Good: The company recognized the importance of addressing employee concerns and implemented a comprehensive training program to help drivers adapt to the new system.
  • The Bad: The initial communication about the AI implementation was unclear and lacked empathy, leading to fear and anxiety among drivers. The drivers felt that they would have no opportunity to input their opinions.
  • The Ugly: Some drivers actively sabotaged the system, leading to inefficiencies and increased costs. This was because the company did not tell them about how the system works or what its goals were.
  • The EI Intervention: The company organized town hall meetings where drivers could voice their concerns and ask questions. Management listened empathetically and addressed concerns about job security, skill development, and the value of human expertise.

What Would You Do Differently?:

  • Communicate Clearly and Transparently: Provide clear and honest communication about the purpose and benefits of AI implementation.
  • Involve Employees in the Process: Solicit input from employees throughout the implementation process, valuing their expertise and addressing their concerns.
  • Provide Comprehensive Training and Support: Offer comprehensive training and support to help employees adapt to the new system and develop new skills.

EI is an Indispensable Advantage in AI-Powered Supply Chains

  • The Human Edge: Why EI Still Matters: In the AI-driven world of modern supply chains, emotional intelligence is not a "soft skill" – it's the hard currency of success.
  • Act Now: Unleash Your EI Power: Commit to developing your EI skills and fostering empathy and collaboration. Start your journey today:

Cultivating an EI-Centric Organizational Culture

In the age of AI, fostering a culture that values emotional intelligence is more critical than ever. A learning organization that embraces both technological advancements and human-centric skills can create a powerful synergy and a competitive advantage without equal.

Characteristics of an EI-Centric Culture:

  • Open communication and psychological safety
  • Emphasis on continuous learning and adaptation
  • Recognition and reward for EI skills alongside technical proficiency
  • Encouragement of cross-functional collaboration

Building a Learning Organization:

  • Implement regular EI training programs
  • Create mentorship opportunities for EI skill development
  • Encourage knowledge sharing across departments
  • Foster an environment where mistakes are viewed as learning opportunities

Leading with Emotional Intelligence in the AI Era

Leaders play a crucial role in setting the tone for emotional intelligence within an organization. especially In the context of AI-driven supply chains, the value of emotionally intelligent leadership cannot be understated.

Key Leadership Traits for the AI Age:

  • Adaptability and openness to change
  • Empathy towards team members' concerns about AI
  • Ability to communicate the vision for human-AI collaboration
  • Self-awareness of one's own biases towards or against AI

Strategies for EQ-Driven Leadership:

  • Lead by example in embracing both EQ skills and AI tools
  • Create opportunities for team members to voice concerns about AI integration
  • Provide clear communication about the role of AI and its impact on jobs
  • Recognize and celebrate successful human-AI collaborations

EI The Indispensable Advantage in AI-Powered Supply Chains

EI is The People Power That Will Always Matter

We've journeyed through the AI-driven landscape of the modern supply chain, and one thing is crystal clear: the application of emotional intelligence is the difference between success and failure. In a world increasingly dominated by algorithms and automation, EI is what sets you apart, what enables you to build strong relationships, lead effectively, and navigate the complexities of a rapidly changing environment.

Unleash Your EI Power

So, what now? The choice is yours. You can continue to rely solely on data and technology, or you can embrace the power of emotional intelligence and unlock your full potential. Commit to developing your EI skills, building emotionally intelligent teams, and fostering a culture of empathy and collaboration. The future of high performing supply chains depends on it. Start your journey today.

The Future is Human (and a Little Bit Algorithmic)

Remember, the next time an algorithm tries to convince you that a shipment is on time when it's clearly swimming with the fishes in the Atlantic, don't despair. A little EI, a dash of humor, and a whole lot of human connection will go a long way in navigating even the most turbulent waters of the modern AI-driven supply chains.

After all, we may not be able to control the robots (yet), but we can control how we respond to them. And that's where our true power lies. The reality is AI affords the possibility to reach our full potential, individually and as teams -but it has to be your choice to do so.

Need Supply Chain or Logistics Expertise please reach out to me on LinkedIn


Further Reading & Research

  • Daniel Goleman often consider the "father of Emotional Intelligence, his official website. It includes articles, resources, and information about his books and training programs.
  • One of Danial Goleman's most successful books; "Emotional Intelligence: Why It Can Matter More Than IQ", you can find a short synopsis of it at Wikipedia.
  • Accenture, "Human + Machine, Reimagining Work in the Age of AI", discusses how AI is radically transforming business; you can find here.
  • Deloitte, "Embracing the Gen-AI revolution – summary recommendations for financial institutions" this five part series focuses on the finance industry, but it offers valuable insights into the benefits and challenges of human-machine collaboration, you can find it here.
  • ScienceDirect, "Artificial intelligence assisted improved human-computer interactions for computer systems", you can find it here.
  • Springer Nature Links, "Human-Computer Interaction", you can find it here.
  • CREIO Consortium For Research Emotional Intelligence in Organization, you can find information about The Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) here.
  • You can find more about the Mayer–Salovey–Caruso Emotional Intelligence Test at Wikipedia.
  • Harvard Business School, "Why Emotional Intelligence Is Important in Leadership", you can read it here.
  • Center for Creative Leadership, "Emotional Intelligence and Leadership Effectiveness: Bringing Out the Best", you can read it here.
  • Science of the mind. "The Power of Emotional Intelligence in Leadership", you can read it here
  • ResearchGate, "Supply Chain Management: The Role of Emotional Intelligence in Supply Chain Leadership", you can read it here.
  • ResearchGate, "Emotional Intelligence in Artificial Intelligence: A Review and Evaluation Study", you can read it here.


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Dinesh Ravindran

Digital & Cyber Strategy | Business Transformation | IT-OT Optimization | CxO Advisor | Technology Leadership | Shreyas's Product Sense Alumni

1 天前

your insights on combining ai with emotional intelligence resonate deeply. how can we best prepare teams for this transformative journey? ?? #leadership

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