AI Monetisation

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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

  1. How, Why, and Where to Apply Agentic AI for Maximum ROI?

    23 DE OUT.

    How, Why, and Where to Apply Agentic AI for Maximum ROI?

    Welcome to another edition of The AI Monetisation Podcast hosted by Co-founder Binny Mathews where industry leaders break down how AI delivers measurable business outcomes. In this episode, Binny is joined by Gaurav Johar, the Global AI Practice Leader at Quantiphi, a leading AI-first digital engineering company helping Fortune 500 enterprises navigate their AI journeys. With over a decade of experience spanning data science, ML, and applied AI, Gaurav has been instrumental in transforming AI from an innovation experiment into a driver of tangible enterprise impact across industries like healthcare, finance, and manufacturing. What’s Inside? 1. The evolution from traditional data science to Agentic AI and how it expands the universe of solvable business problems 2. How enterprises can identify high-impact, quick-win use cases that drive real ROI 3. The role of applied AI in automation, knowledge discovery, experience, and simulation 4. Building centers of excellence and balancing portfolios for sustainable AI success 5. Insights from Quantiphi’s partnership with Google on AgentSpace and how it’s redefining enterprise-scale AI adoption 6.Why Responsible AI and change management are key to scaling impact Key Takeaways: 1. Understand how Agentic AI can expand business problem-solving potential. 2. Learn practical frameworks to identify and prioritize high-ROI AI use cases. 3. Explore how to balance short-term wins with long-term innovation bets. 4. Discover strategies to embed AI seamlessly into enterprise workflows.4. Gain insight into responsible AI practices that ensure safe, scalable adoption. 5. Hear how Quantiphi and Google’s AgentSpace are shaping the future of enterprise AI. This is a must-watch for anyone building or deploying AI in finance or any enterprise, especially if you’re focused on measurable ROI, risk mitigation, and scaling innovation responsibly. For full show notes, visit- https://bit.ly/4oyqlDW 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/3Wgt49b

    42min
  2. How to accelerate AI solutions’ ROI across Fortune 500 companies

    9 DE OUT.

    How to accelerate AI solutions’ ROI across Fortune 500 companies

    In this episode of the AI Monetisation Podcast, Chandrashekar Konda, Technical Director & Architect (AI & ML) at Oracle, joined Co-founder Binny Mathews, to discuss how Oracle is driving measurable ROI for Fortune 500 enterprises through AI innovation. Guest Background: With over two decades of experience in data science and enterprise AI, Chandrashekar leads AI and ML initiatives within Oracle Cloud Infrastructure, helping global enterprises design, deploy, and scale AI solutions. He also serves as Lead of the IEEE Task Force on Large Language Models under the Government Activities Committee and previously led data science teams at Aetna. What’s Inside? How Fortune 500 companies are moving from AI POCs to production with Oracle’s cloud-based solutionsThe rise of conversational analytics, turning dashboards into dialogueReal-world AI use cases in healthcare, insurance, and cloud automationThe role of AI agents in simplifying cloud operations and infrastructure setupWhy business involvement is the key to scaling enterprise AI adoption Key Takeaways: AI success depends as much on business buy-in as on technical excellenceConversational and agentic AI are reshaping enterprise data workflowsCloud platforms are unlocking faster, scalable AI experimentationBridging technical and functional teams accelerates ROIContinuous learning is essential; AI tools evolve faster than any previous tech wave This episode is a must-watch for technology leaders, architects, and enterprise AI teams looking to turn AI investments into tangible business outcomes. For full show notes, visit- https://bit.ly/4h36FW9 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/46Yy8Uj

    38min
  3. How AI in Telecom Can Improve Customer Experience and Reduce Churn?

    3 DE OUT.

    How AI in Telecom Can Improve Customer Experience and Reduce Churn?

    Welcome to another episode of AI Monetisation Podcast with Binny Mathews. In this session, we were joined by Alexandre Guilbault, Director of AI / Head of Artificial Intelligence at TELUS, to explore how telecom companies can leverage AI not just to improve network efficiency, but to directly enhance customer experience and reduce churn. About the Guest: Alexandre brings over 15 years of experience in software, data, and AI strategy. As Head of AI at TELUS, a leading Canadian telecom and technology company, he leads a 100+ member AI team driving transformation across telecom, health, agriculture, entertainment, and finance. His work focuses on making AI problem-centric, delivering measurable ROI, and ensuring solutions bridge technology and business outcomes. What’s Inside? 1. Alexandre’s career journey: from telecom capacity engineering to leading AI at TELUS 2. Why most AI projects fail and how to flip the script with a “fail fast, succeed early” mindset 3. A powerful customer experience AI use case: mapping network KPIs to human perception to reduce churn 4. How to balance hype vs. real business problems when deploying AI 5. Scaling AI teams beyond 50 members and building strong collaboration frameworks 6. The importance of adoption, change management, and empowering business teams to co-create AI solutions Key Takeaways 1. AI must start with the right problem statement, not the hype. 2. Listening to customers and linking technical KPIs to perception is a game-changer in telecom. 3. Failure isn’t the issue but spending too much time on the wrong projects is. 4. Centralized, cross-functional squads accelerate AI adoption across industries. 5. For the future, agility is key: enterprises must prepare to manage and validate work done by AI agents.This is a must-watch for anyone building or deploying AI in telecom and customer-centric industries, especially if you’re focused on measurable ROI, reducing churn, and scaling AI responsibly. 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/474USTY

    54min
  4. Why Most AI Projects Fail to Move Beyond POCs and How to Fix It with Bo Gu, Director of Data Science & Generative AI at AT&T

    26 DE SET.

    Why Most AI Projects Fail to Move Beyond POCs and How to Fix It with Bo Gu, Director of Data Science & Generative AI at AT&T

    In this episode of the AI Monetisation Podcast, Co-founder, Binny interacts with Bo Gu, Director of Data Science, Chief Data Office at AT&T, to explore why so many AI projects never make it past the proof-of-concept stage and how enterprises can fix it. About the Guest Bo Gu leads data science and generative AI initiatives at AT&T. With a career spanning data science leadership roles at Pepsi, HMS, and Caesars Entertainment, plus entrepreneurial experience building pricing software for the hotel industry, Bo brings decades of hands-on expertise in analytics, machine learning, and enterprise AI transformation. What’s Inside? 1. Why 90% of AI projects stall at the POC stage 2. Governance, compliance, and cost frameworks for scaling AI 3. The importance of ROI as the ultimate filter for AI initiatives 4. Lessons from classical AI that still apply in the GenAI era 5. Productivity and customer-facing opportunities where AI delivers real business value Key Takeaways 1. Deep expertise in data science, generative AI, and advanced analytics 2. Proven track record of applying AI to real business outcomes 3. Experience leading both corporate and entrepreneurial AI initiatives 4. Skilled in bridging technical innovation with business strategy 5. Strong foundation in engineering, finance, and strategic planning This 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/42bOyHw 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/3IHz7jK

    35min
  5. How to Build Enterprise Knowledge Search Systems with AI- Vijay Morampudi, AI Thought Leader & AI100 2024 Honoree

    18 DE SET.

    How to Build Enterprise Knowledge Search Systems with AI- Vijay Morampudi, AI Thought Leader & AI100 2024 Honoree

    In this episode of the AI Monetisation Podcast, Co-founder Binny Mathews and guest Vijay Morampudi, Senior Vice President and AI CoE Leader at Marsh McLennan, explore how enterprises can successfully design and deploy AI-powered knowledge search systems. About the Guest: Vijay Morampudi is a recognized AI100 2024 Honoree and a seasoned leader at the intersection of enterprise AI strategy, product innovation, and developer experience. With prior experience in startups and industries ranging from healthcare and agriculture to pharma and customer experience, Vijay has led award-winning AI initiatives that deliver measurable business impact. What’s Inside? 1. Why knowledge search is becoming a top enterprise AI use case 2. Build vs. buy: key considerations when implementing AI-powered knowledge systems 3. The role of change management in enterprise AI rollouts 4.How developer experience is being reshaped by AI tools like GitHub Copilot & ChatGPT 5. Real-world lessons from AI deployments in healthcare, agriculture, and financial services 6. The rise of small language models (SLMs) and their enterprise advantages Key Takeaways: 1. Effective AI search requires domain-specific models, curated data, and strong feedback loops. 2. Change management, not technology, is often the biggest barrier to enterprise AI adoption. 3. AI accelerates developer productivity, but human oversight is critical for quality, compliance, and security. 4. Small, fine-tuned models can often outperform larger LLMs in cost, latency, and domain accuracy. This 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/4mjcMXp 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/46d2NOI #AI #EnterpriseAI #KnowledgeManagement #GenerativeAI #AIinFinance #AI100 #MarshMcLennan #AIProductivity #FutureOfWork #ArtificialIntelligence #AIPodcast #GenAIPodcast #AIMonetisationPodcast

    38min
  6. How to Achieve 100x More Engagement with AI-Powered Learning?

    11 DE SET.

    How to Achieve 100x More Engagement with AI-Powered Learning?

    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 Takeaways AI-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/4noxCpc 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/3JVmOAF

    45min
  7. How to Align AI, Human Potential, and Business Growth in the Skilling Revolution?

    4 DE SET.

    How to Align AI, Human Potential, and Business Growth in the Skilling Revolution?

    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 Trout Chris 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/465v4p2 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/46hoQnn

    39min
  8. How AI Agents Are Changing Content Creation in L&D with Maryna Melnik, CPTD, Head of L&D at DataArt

    14 DE AGO.

    How AI Agents Are Changing Content Creation in L&D with Maryna Melnik, CPTD, Head of L&D at DataArt

    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&D 2. The dual focus on enabling environments and science-based instructional design 3. AI’s role in creating hyper-personalized, relevant learning experiences 4. The future of content creation; AI agents at the point of need 5. Lessons from DataArt’s measurable L&D outcomes: higher engagement, completion, and learning hours Actionable Takeaways 1. Align L&D priorities directly with evolving business strategies 2. Use AI agents to bridge personal learner data with organizational skill needs 3. Apply adult learning theory (CREDIT) to boost engagement and retention 4. Combine AI speed with human quality control for effective content creation 5. Embrace continuous learning and adaptability as core career skills For full show notes, visit- https://bit.ly/3UwCqN4 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/3JfRe04

    45min
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Sobre

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

Informações

  • Criado por
    ProjectPro
  • Anos de atividade
    2 mil
  • Episódios
    78
  • Classificação
    Livre
  • Copyright
    © ProjectPro
  • Site do podcast
    AI Monetisation