How to Build an AI First L&D Stack to Personalize Learning?
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
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Bias in AI: The Multi-Billion Dollar Blindspot Nobody’s Talking About
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
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How Is AI for Personalized Learning and Coaching Being Integrated into Enterprise L&D? - Hear from Cherese James | Talent & Learning Leader at Compugen Inc.
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
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Inside Google and Deloitte’s AI Playbook: Agentic AI and the Future of Enterprise Strategy
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
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How AI is used to Automate Investments and Trading Strategies?
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
The AI Monetisation Podcast, hosted by CEO and Co-founder Binny Mathews, brings together leading AI practitioners to share their strategies for leveraging AI to drive tangible business outcomes. Discover real-world insights, innovative approaches, and transformative success stories from industry leaders harnessing AI's power to create measurable impact in their enterprises.
Access the full show notes for this episode, including referenced articles, resources, and people mentioned: https://bit.ly/4fmRSn0
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