AI Monetisation

In this episode of the AI Monetisation Podcast, Co-founder Binny Mathews explores how AI is reshaping the future of learning and development. Our guest, Josh Bersin, Founder & CEO of The Josh Bersin Company, shares ground-breaking insights on why AI is not just improving traditional learning but reinventing it.What’s Inside?Why AI marks a paradigm shift in learning, moving beyond traditional course-based models.How AI-driven platforms like Galileo Learn create personalized, dynamic, and on-demand learning experiences.The future of instructional design, knowledge management, and learning in the flow of work.Insights on how L&D budgets, LMS systems, and credentialing will evolve in the AI era.Key TakeawaysAI-powered learning delivers 100x more engagement compared to traditional courses.Learning is shifting from centralized, course-heavy systems to distributed, point-of-need enablement.Instructional designers and L&D leaders must rethink their roles in an AI-driven world.The future of education and corporate training lies in personalization, scalability, and real-time insights.Tune in now to learn how AI is transforming the way we learn, teach, and grow at work. This is a must-watch for anyone building or deploying AI in corporate learning and workforce transformation, especially if you're focused on boosting engagement, scaling learning at speed, and driving measurable business impact.For full show notes, visit- https://bit.ly/4noxCpcProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/3JVmOAF

Welcome to the AI Monetisation Podcast with Co-founder Binny Mathews, where industry leaders share how AI is reshaping business and society. In this episode, we feature Chris Trout, Founder and Principal of Donlon Consulting, to explore how AI and human potential can align to drive business growth in the era of reskilling and upskilling.About Chris TroutChris has dedicated his career to learning, development, and skilling. He spent nearly two decades at The Walt Disney Company, most recently as Vice President of Learning, Development, and Education. Today, he serves as Senior Advisor for Upskill America at the Aspen Institute and leads Donlon Consulting, helping organizations unlock opportunities for frontline workers and future leaders.What’s Inside?1. The future of frontline workforce development and why “connection” matters as much as skills.2. How AI can act as a thinking partner to accelerate, not replace, human capability.3. Lessons from building large-scale education initiatives like Disney Aspire.4. Why companies that invest in long-term human capability gain a real competitive advantage.5. How L&D leaders can adapt to the biggest workforce transformation wave in decades.Key Takeaways:✔️ AI is a relationship shift that can amplify human skills if used as a partner.✔️ Frontline workers face barriers not from lack of ability, but from lack of connection.✔️ Personalized, human-centered learning design drives both employee growth and business performance.✔️ Companies that prioritize trust, compassion, and long-term skill-building will lead in the AI era.This is a must-watch for anyone building or deploying AI in workforce transformation, especially if you're focused on measurable ROI, empowering human potential, and scaling innovation responsibly.For full show notes, visit- https://bit.ly/465v4p2ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more-https://bit.ly/46hoQnn

In this episode of the AI Monetisation Podcast, Maryna Melnik, CPTD, Head of Learning and Development at DataArt, joined Co-founder Binny Mathews to explore how AI agents are reshaping content creation, personalization, and learning experiences in the modern workplace.Guest Background: A certified talent development leader, Maryna oversees L&D for over 5,000 employees at DataArt, a global software engineering firm. With prior leadership roles at EPAM Systems and experience at the United Nations, she specializes in aligning learning strategy with business goals, leveraging AI to drive skill development, and designing impactful, science-based learning environments.What’s Inside?1. How AI learning hubs and agentic assistants are transforming skill-building in L&D2. The dual focus on enabling environments and science-based instructional design3. AI’s role in creating hyper-personalized, relevant learning experiences4. The future of content creation; AI agents at the point of need5. Lessons from DataArt’s measurable L&D outcomes: higher engagement, completion, and learning hoursActionable Takeaways1. Align L&D priorities directly with evolving business strategies2. Use AI agents to bridge personal learner data with organizational skill needs3. Apply adult learning theory (CREDIT) to boost engagement and retention4. Combine AI speed with human quality control for effective content creation5. Embrace continuous learning and adaptability as core career skillsFor full show notes, visit- https://bit.ly/3UwCqN4ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/3JfRe04

In this episode of the AI Monetisation Podcast, Shadab Hussain, Director - Cloud + AI Specialist Sales at Microsoft, joined Co-founder Binny Mathews to reveal what it really takes to build AI products that enterprises trust, buy, and deploy at scale.Guest Background: A veteran in data and AI with over 24 years of experience, Shadab works closely with Fortune 500 companies across healthcare, life sciences, and retail. As an AI evangelist and host of The AI Files podcast, he brings a unique lens into how Microsoft is empowering organizations with real-world AI solutions.What’s Inside?1. Why 80% of AI projects fail and how to beat the odds2. 4 buckets of enterprise AI adoption: From co-pilots to custom innovation3. How AI is transforming sales enablement and customer engagement4. Strategic frameworks for selecting the right AI approach (buy vs build vs co-create)5. The evolving collaboration between business and IT in AI projectsActionable Takeaways1. Prioritize adoption and ROI over the latest tech trends2. Use AI co-pilots to unlock productivity at scale across your workforce3. Build custom AI for competitive advantage backed by solid governance4. Don’t ignore the human side. AI success requires buy-in across roles5. Avoid “AI greed”: focus on value creation, not just cost-cuttingThis episode is a must-listen for enterprise leaders and AI builders looking to scale impactful solutions while earning stakeholder trust every step of the way!For full show notes, visit- https://bit.ly/4oxIHpFProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/41ueFZK

In this episode of the AI Monetisation Podcast, Lars Maaløe, Co-Founder and CTO of Corti, joined Co-founder Binny Mathews to discuss how AI is transforming healthcare by enhancing doctor-patient interactions and improving clinical outcomes.Guest Background: A pioneer in applied AI for healthcare, Lars leads Corti’s mission to alleviate administrative burdens on clinicians while improving patient safety. With roots in deep machine learning research and time spent at Apple as an ML researcher, Lars is focused on building healthcare infrastructure powered by cutting-edge language and speech models.What’s Inside?AI-driven clinical assistants: Supporting real-time doctor-patient conversationsHow Corti’s tech improves patient safety and documentation integrityBuilding healthcare-specific LLM stacks from open-source and proprietary modelsUsing multi-agent architectures for medical coding and guideline complianceReal-world case studies in emergency medicine and hospital triageKey Takeaways:1. Focus on solving real pain points like admin overload and documentation quality2. AI is most impactful when enhancing, not replacing, human decision-making3. Domain-specific fine-tuning is critical for trustworthy clinical AI4. Real-time fact extraction helps clinicians act on insights as they emerge5. Healthcare AI must prioritize transparency, explainability, and human oversightThis episode is essential listening for AI innovators, healthcare tech builders, and clinical leaders interested in how next-gen AI is giving doctors back their most valuable asset—time with patients.For full show notes, visit- https://bit.ly/4m3aA7qProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/475jigA

In this episode of the AI Monetisation Podcast, Jayeeta Putatunda, Lead Data Scientist and Director - AI Center of Excellence at Fitch Group, joined Co-founder Binny Mathews, to discuss how financial institutions can successfully evaluate and generate ROI from GenAI initiatives.Guest Background: A recognized AI leader and NVIDIA Enterprise Platform Advisor, Jayeeta has been named to the AI 100 for GenAI and honored among the Top 25 Visionary Women in FinTech AI. At Fitch Ratings, she leads strategic AI efforts, balancing cutting-edge innovation with the rigors of regulatory finance.What’s Inside?How to evaluate and prioritize high-ROI GenAI use cases in financeBuilding structured GenAI pipelines: From PDF chaos to productivityThe art of combining causal analysis and LLMs for quantitative accuracyCrafting custom evaluation frameworks with business alignmentBuy vs. Build: Navigating third-party solutions vs. internal developmentKey Takeaways:1. Document processing and customer service are the biggest GenAI ROI drivers in finance2. Start simple: Evaluate models incrementally and build from real business problems3. Use SME-guided few-shot learning and lightweight fine-tuning for enterprise accuracy4. Define evaluation and ROI metrics before building any solution5. Focus on explainability and expectation-setting to gain business trust and adoptionThis episode is essential listening for data science and business leaders looking to implement GenAI solutions in finance with a clear ROI and strong business alignment!For full show notes, visit- https://bit.ly/44LTTqLProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/3IIEMFX

In this episode of the AI Monetisation Podcast, Binny Mathews, CEO of ProjectPro explores how AI is revolutionizing instructional design and transforming the future of workforce learning and development.Our Guest: Julie StoneWe’re joined by Julie Stone, Group Vice President and Chief Learning Officer at TTEC, a global leader in customer experience with over 50,000 employees. Julie brings decades of experience in learning strategy from top organizations like eBay, Prudential Financial, and The Hartford.What’s Inside?1. How AI is shifting from traditional training to real-time, personalized, in-the-flow-of-work learning2. Julie’s flipped learning model in corporate L&D and how it's driving faster proficiency3. TTEC’s use of AI-powered tools like Curriculum Wizard and Coaching Wizard4. The convergence of coaching, skilling, and knowledge management5. Navigating AI adoption barriers like tool overload, governance, and change managementKey Takeaways1. Why average learning fits no one, and how AI enables tailored, task-specific experiences2. How AI is freeing up human capacity for empathy, creativity, and deeper performance3. The essential elements of empowerment: value, belonging, and growth4. Career advice for the AI-native workforce: build durable skills and shape your own journeyThis is a must-watch for anyone building or deploying AI in learning and development, especially if you're focused on reducing time-to-proficiency, enhancing learner engagement, and scaling personalized training with measurable ROI.For full show notes, visit- https://bit.ly/4lFTxYIProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/3TJZEiv

In this episode of the AI Monetisation Podcast, Boris Tvaroska, AI Technical Lead for Financial Services at Google, joined Co-founder Binny Mathews to discuss how leading financial institutions can build ROI-driven AI co-pilots, while navigating one of the most heavily regulated industries on earth.Guest Background: With a career spanning Google, AWS, Lenovo, and HP, Boris brings deep expertise in applied AI, NLP, and cloud-based transformation. He’s led AI implementations across global financial enterprises and previously co-founded an NLP startup, giving him a unique perspective at the intersection of innovation and governance.What's Inside?Top 2 AI use cases in finance: Intelligent document processing & frontline AI copilotsWhy traditional OCR and RPA fall short in modern financial workflowsHow banks can scale personalization while managing regulatory riskThe role of RAG vs fine-tuning in real-world AI deploymentsWhat’s blocking full-scale automation, and how governance must evolveKey Takeaways:Document-heavy processes are ripe for AI-driven unstructured-to-structured data transformationCopilots can boost efficiency for call centers, loan officers, and advisorsGovernance, not model performance, is the biggest blocker to adoptionMost real-world success comes from RAG + embedding fine-tuning, not full model retrainingRegulation needs to catch up to unlock end-to-end automationThis is a must-watch for anyone building or deploying AI in finance, especially if you're focused on measurable ROI, risk mitigation, and scaling innovation responsibly.For full show notes, visit- https://bit.ly/3GByYNVProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/4lrlnaR

In this episode, Calista Cooper, Director of Learning and Development at Vendasta, joins Binny Mathews, CEO and Co-founder of ProjectPro, to share how she’s redesigning L&D from the ground up with an AI-first mindset.What’s Inside?From static courses to dynamic, AI-driven learning flowsRethinking instructional design with generative tools and agentsBuilding personalized onboarding experiences at scaleWhy learning should happen at the point of need, not in catalogsUpskilling teams on AI tools, systems thinking, and critical promptsChallenges in branded content creation and how Vendasta is solving itUsing AI agents as internal “employees” to guide, coach, and support learningKey Takeaways:Treat AI as a workflow partner, not just a content generatorFocus on inputs and business outcomes—AI can handle the outputsPersonalized learning isn't about one big LMS—it’s about dynamic contextLearning in the flow of work drives stronger engagement and retentionSystems thinking is the new must-have skill for an AI-augmented workforceChange management matters; AI agents need thoughtful integrationThis episode is essential listening for L&D leaders, instructional designers, and people teams looking to future-proof their learning ecosystems with AI-powered, human-centric design.For full show notes, visit- https://bit.ly/4lmLAreProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/3IlvVtz

In this episode of the AI Monetisation Podcast, Anita Luthra, Global Technology Director of AI and Cloud Labs at HCLTech, joins Co-founder Binny Mathews to explore one of the most overlooked challenges in enterprise AI: systemic bias and its multi-billion dollar impact.Guest Background: A veteran in AI architecture, Anita has led major transformations at JPMorgan Chase, IBM, and now HCLTech. She pioneered the first Watson solution integration at IBM and is a recognized speaker on hallucination and bias in AI, recently featured at the Worldwide AI Summit.What’s Inside?The trillion-dollar blindspot: How bias infiltrates AI training data and algorithmsReal-world implications: Personalization failures and reduced efficacy for diverse usersPractical strategies: Detecting and mitigating bias through data, model tuning, and governanceGovernance in AI: Why accountability lies with every member of the development lifecycleContrarian AI thinking: Why small models might hold the key to scalable, equitable solutionsKey Takeaways:1. AI models reflect the societal and demographic imbalances present in their training data2. Personalization without representation can lead to massive financial and brand risks3. Bias correction must start early at data selection, architecture, and prompt engineering levels4. Responsibility for bias mitigation cannot lie with a single team or function5. Enterprises must rethink traditional hiring and development mindsets to stay relevant in the AI eraThis episode is essential listening for enterprise leaders, AI engineers, and product owners looking to build fair, inclusive, and commercially successful AI systems in the real world.For full show notes, visit- https://bit.ly/44d07QhProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/44JxR7W

In this episode of the AI Monetisation Podcast, Cherese James, Senior Manager of Talent Development at Compugen Inc., joins Co-founder Binny Mathews, to explore how AI is reshaping personalized learning, coaching, and leadership development inside modern enterprises.What’s Inside?How AI is transforming leadership development, feedback, and coachingUsing GenAI to localize learning while maintaining global consistencyThe future of LMS: Will content creation shift to the point of consumption?Why AI can't replace the human touch in coaching—but can amplify itMaking adaptive learning and competency modeling practical with GenAIKey TakeawaysAI enables scalable, culturally relevant personalization in learning programsLeadership success now depends on a team-first mindset, not individual performanceAI tools can automate tedious tasks, freeing leaders to focus on coaching and strategyL&D teams must embrace curiosity and experimentation to stay aheadSuccess with AI means creating space for deeper human leadership, not replacing it.This episode is essential listening for L&D leaders, HR strategists, and people managers aiming to integrate AI into their talent development strategies without losing sight of the human connection that great leadership demands.For full show notes, visit- https://bit.ly/448YxyVProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more-https://bit.ly/40kVhhf

In this episode of the AI Monetisation Podcast, Kevin Laughridge, Principal at Deloitte Consulting, joins Co-founder Binny Mathews to delve into how Deloitte and Google are shaping the future of enterprise AI with agentic systems, multimodal platforms, and practical enterprise frameworks.What’s Inside?Agentic AI: How 100+ prebuilt agents are redefining enterprise workflowsInside “AgentSpace”: Google’s new single pane of glass for enterprise AIThe Deloitte + Google + ServiceNow partnership and agent-to-agent protocolsBuilding trust-based strategic alliances at enterprise scaleAI Assist: Deloitte’s full-stack AI solution for accelerating SDLCHow to measure ROI beyond cost savings, speed, quality, NPS, and moreThe evolving role of humans in an AI-augmented enterpriseKey Takeaways1. Agentic AI enables exception-based reasoning across enterprise processes2. Reliable AI outcomes require continuous evaluation and strong guardrails3. Successful alliances are built on trust, clarity of purpose, and shared value4. AI adoption is shifting from isolated use cases to full-process optimization5. Data modernization, not just model performance, is the real bottleneck6. Enterprise upskilling must include data literacy as a core competencyThis episode is essential listening for business and tech leaders navigating enterprise AI transformation, from strategy and tooling to trust and talent!For full show notes, visit- ProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/461c6Bx

In this episode of the AI Monetisation Podcast, Austin Starks, Founder and CEO of NexusTrade.io, joins Binny Mathews, Co-founder of ProjectPro, to unpack how AI is reshaping investment and trading strategies with automation at the core. What’s Inside?From pre-med to solo founder: Austin’s unconventional path to fintech innovationAI + Natural Language: Automating trading strategies without writing codeWhy Rust? Engineering a high-performance backtesting engineReal-time financial analysis with LLM-generated SQLGrowth hacking NexusTrade via TikTok and MediumWhat makes AI effective in swing vs. intraday trading Key TakeawaysFocus on problems, not ideas. AI is most powerful when solving real user pain pointsUsing LLMs for trading works best when paired with structured tools like SQLEducational UX is essential to onboard non-experts into AI-based platformsOpen-ended agentic AI in finance isn’t fully production-ready but structured workflows are5. A fast, solo-built AI stack is feasible if you’re relentlessly focused and love to code This episode is a must-listen for fintech builders, AI engineers, and investors looking to understand how LLMs are transforming the future of trading.For full show notes, visit-https://bit.ly/4dXBJVMProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing, ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/43KVvkc

In this episode of the AI Monetisation Podcast, Jayney Howson, Senior Vice President of Global Learning and Development at ServiceNow, joined Co-founder Binny Mathews to share how ServiceNow is transforming enterprise learning through AI and the science of play.Guest BackgroundWith 20+ years of experience spanning marketing, sales, and talent development, Jayney leads global learning initiatives at the $200B software leader. Previously at Salesforce, she supported over 30,000 team members and now spearheads ServiceNow University, a bold new platform delivering AI-powered, personalized, in-the-flow learning at scale.What’s Inside?✅ The vision behind ServiceNow University and how it powers AI-driven, personalized learning✅ Science of play: How neuroscience and gamification help overcome fear and drive real skill-building✅ AI Coaches & Playground Environments: What modern learning looks like at scale✅ How ServiceNow embeds learning in the flow of work with context-sensitive, just-in-time content✅ The bold idea of a “Human Renaissance” — unlocking creativity through automationKey Takeaways:1. Personalization and context are non-negotiables in enterprise learning2. True growth happens in psychologically safe, exploratory environments3. Learning must shift from static content to adaptive, AI-generated skill development4. Strong data foundations are essential for tracking performance and enabling tailored upskilling5. Future talent strategies must account for early-career learning disrupted by AI automationThis episode is essential listening for L&D leaders, talent strategists, and enterprise executives looking to harness AI to unlock deeper human potential at work.For full show notes, visit- https://bit.ly/4jzLdYvProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/4jGosSJ

In this episode of the AI Monetisation Podcast, Yao Fehlis, Head of AI at Artificial, Inc., joins Co-founder Binny Mathews to explore how Self-Driving Labs are transforming scientific discovery through automation and AI.Guest Background: With a background spanning neuroscience, biotechnology, and AI, Yao leads the charge at Artificial, Inc. in designing autonomous lab systems that accelerate the pace of experimentation. His work sits at the intersection of robotics, machine learning, and life sciences, thus bringing the vision of automated R&D closer to reality.What's Inside?What exactly is a Self-Driving Lab, and how does it work?Automating hypothesis generation and experimental designReal-world applications in biotech, pharma, and materials scienceThe AI stack powering lab automation—from simulation to orchestrationEthical implications and the future of autonomous scientific researchKey Takeaways:1. Self-driving labs can drastically reduce the time and cost of experimentation2. Combining robotics and AI enables closed-loop scientific workflows3. Domain expertise remains essential for guiding and validating automated systems4. Modular, interoperable lab setups are key to scalable automation5. The future of science will be hybrid, with humans and machines collaborating in real-timeThis episode is a must-watch for researchers, technologists, and innovators eager to understand how AI and automation are reshaping the scientific method itself.For full show notes, visit- https://bit.ly/3Z4w1vnProjectPro helps you tackle your AI projects with ease. Upskilling the team for specific AI projects, collaborating with experts to co-build AI solutions, or opting for end-to-end project outsourcing—ProjectPro has you covered. With ongoing 1:1 support, enterprises can overcome roadblocks and seamlessly take their projects from PoC to production. Learn more- https://bit.ly/45tlLAA