NLG Talks

NLG Talks

Welcome to NLG Talks, your space for thought-provoking conversations on Supply Chain, Human Capital, and Sustainability — driving meaningful change, empowering people, and shaping a better future together.

  1. JAN 13

    How Leading Supply Chains Are Redesigning Networks for Speed, Shock-Absorption and Growth

    In this episode of NLG Talks, we bring you a powerful LinkedIn Live panel discussion exploring how leading organizations are redesigning their supply chain networks to thrive in an era of constant disruption. 🎙️ Episode Highlights: How organizations are balancing speed, cost, and resilience in modern supply chain network design Practical approaches to absorbing shocks through selective redundancy, regional hubs, and flexible sourcing The role of AI, digital twins, control towers, and real-time data in improving planning and responsiveness How redesigned supply chains can actively enable growth, market expansion, and faster product launches The leadership and cultural shifts required to build agile, empowered, and future-ready supply chain teams This discussion goes beyond theory—drawing on lived experiences across aviation, energy, retail, manufacturing, logistics, and AI-driven planning—while reinforcing that human judgment, governance, and leadership remain central in a technology-enabled supply chain. 🎤 Panel Speakers:Roei Aviram – Founder & CEO, Intelichain, IsraelPablo Sicilia Mateo – Procurement & Supply Chain Manager, Inver Renewable Management, SpainVera Rozanova – MEng (Hons), MBA, FCILT, MCIPS Chartered, Consultant, DubaiDr. R. V. Srinivas Rao – Chartered FCIPS, PMP | Director – Center of Excellence, Chain Optima Solutions, USA If disruption is the new normal, this episode offers the insights you need to design supply chains that don’t just survive—but grow stronger.

    1h 5m
  2. 2025-04-21

    Why Your Employees Are Planning to Quit— And What You’re Getting Wrong

    🔍 Why Your Employees Are Planning to Quit—And What You’re Getting Wrong with Ashwini Pujari It's not just about money. Yes, competitive pay matters — but what’s causing your high performers to quietly update their CVs goes deeper. Here’s what many leaders are missing: 🚩 1. Lack of RecognitionA simple “thank you” or acknowledgment can go a long way. People want to feel seen for their contributions. 🚩 2. No Clear Growth PathIf your team can’t envision a future with you, they’ll start looking elsewhere. Development isn’t a luxury—it’s a necessity. 🚩 3. Burnout is RealPushing productivity without supporting wellbeing is a recipe for quiet quitting (and eventually loud quitting). 🚩 4. Culture MismatchPeople don’t leave jobs. They leave toxic environments. Culture eats strategy for breakfast. 🚩 5. Poor ManagementMost exits are leadership-related. Empower your managers with the skills to coach, not control. 💡 The big miss? Many organizations focus on exit interviews instead of stay interviews. By the time someone leaves, it’s already too late. Let’s flip the script:👉 What if we created environments people don’t want to leave? I’d love to hear from others — what’s the #1 reason you think employees are planning to quit in 2025? #Leadership #EmployeeExperience #Retention #FutureOfWork #HumanCapital #CultureMatters #PeopleFirst #OrganizationalDevelopment

    22 min
  3. 2025-04-10

    The Future of Sustainable Technologies and the UN SDGs

    In this podcast with Dr Rajiv, we explore why Sustainable Technologies Matter—And How to Lead the Way Forward🔭 Looking Ahead: A Bold PerspectiveWhile solar and wind are maturing rapidly, the next frontier lies in AI-powered climate modeling, precision agriculture, circular economy platforms, and next-gen battery storage. According to the UN, achieving the SDGs by 2030 will require up to $5–7 trillion annually—and smart tech can optimize how every dollar is spent.📈 One Tech, Multiple GoalsOne of the most exciting areas? AI + Remote Sensing. When used together, they can accelerate:SDG 2 (Zero Hunger) via precision farmingSDG 6 (Clean Water) through leak detectionSDG 13 (Climate Action) with real-time emissions tracking🎯 Data = Smarter Sustainability InvestmentsFrom impact forecasting to dynamic ESG scoring, data-driven insights are transforming how decisions are made:1. Governments can model long-term infrastructure ROI2. NGOs can better allocate scarce resources3. Corporates can reduce greenwashing and increase real impact🤝 Collaboration is the CatalystPublic-private partnerships are the backbone of this transition. They de-risk innovation, scale pilot projects, and ensure technologies reach the people and regions that need them most. The future lies in co-creation—not competition.💡 Let’s keep pushing for scalable, inclusive, and data-smart sustainable tech. Because a greener, fairer future doesn’t build itself—we build it together.#Sustainability #AIforGood #SDGs #ClimateTech #EmergingMarkets #DataDriven #PublicPrivatePartnership #InnovationForImpact

    24 min
  4. 2025-03-29

    Data Science Decoded: From Basics to Career Pathways

    In this episode on NLG Talks we are talking with few experts from the Data Science domain. Data science is no longer a buzzword – it’s a driving force behind innovation across industries. Whether you’re just starting out or looking to transition into the field, it’s important to understand the foundations and how they translate into real-world opportunities.🔍 The Basics of Data ScienceAt its core, data science is about using data to extract meaningful insights. Key areas to master include: Statistics & Probability – Understanding how data behaves.Programming – Python and R are the most commonly used languages.Data wrangling– Cleaning and organizing raw data.Machine Learning– Building models that can predict and classify.Data Visualization– Telling a compelling story with data.Data Analyst: Focuses on analyzing data to help businesses make decisions.Data Scientist: More advanced; involves building predictive models and algorithms.Machine Learning Engineer: Specializes in creating scalable ML systems.Data Engineer: Builds and maintains data infrastructure.Business Intelligence Analyst: Turns data insights into business strategy.💼 Career Pathways in Data Science*The beauty of data science is its versatility. Here are some common roles to consider:🌟 *How to Start Your Journey* 1. Learn the Basics: Online courses, tutorials, and books can help you build a solid foundation.2. Build Projects: Apply your learning to real-world data sets and share your work on GitHub.3. Network & Stay Updated: Join data science communities (both online and offline) and keep up with the latest trends and tools.4. Tailor Your Resume: Focus on skills, projects, and relevant experience when applying for roles.Data science offers incredible potential, whether you’re looking to optimize business strategies, develop new technologies, or just dive into a growing field. Ready to decode the world of data? Let’s start this exciting journey together! 🔍📊🚀#DataScience #CareerPath #MachineLearning #DataAnalysis #CareerTips #DataScienceJourney #Learning

    36 min

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Welcome to NLG Talks, your space for thought-provoking conversations on Supply Chain, Human Capital, and Sustainability — driving meaningful change, empowering people, and shaping a better future together.