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AI Monetisation

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AI Monetisation
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  • 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 problems2. How enterprises can identify high-impact, quick-win use cases that drive real ROI3. The role of applied AI in automation, knowledge discovery, experience, and simulation4. Building centers of excellence and balancing portfolios for sustainable AI success5. Insights from Quantiphi’s partnership with Google on AgentSpace and how it’s redefining enterprise-scale AI adoption6.Why Responsible AI and change management are key to scaling impactKey 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/4oyqlDWProjectPro 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
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  • 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 adoptionKey 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 waveThis 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/4h36FW9ProjectPro 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
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  • 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 TELUS2. Why most AI projects fail and how to flip the script with a “fail fast, succeed early” mindset3. A powerful customer experience AI use case: mapping network KPIs to human perception to reduce churn4. How to balance hype vs. real business problems when deploying AI5. Scaling AI teams beyond 50 members and building strong collaboration frameworks6. The importance of adoption, change management, and empowering business teams to co-create AI solutionsKey Takeaways1. 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
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  • 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 GuestBo 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 stage2. Governance, compliance, and cost frameworks for scaling AI3. The importance of ROI as the ultimate filter for AI initiatives4. Lessons from classical AI that still apply in the GenAI era5. Productivity and customer-facing opportunities where AI delivers real business valueKey Takeaways1. Deep expertise in data science, generative AI, and advanced analytics2. Proven track record of applying AI to real business outcomes3. Experience leading both corporate and entrepreneurial AI initiatives4. Skilled in bridging technical innovation with business strategy5. Strong foundation in engineering, finance, and strategic planningThis 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/42bOyHwProjectPro 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
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  • 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 case2. Build vs. buy: key considerations when implementing AI-powered knowledge systems3. The role of change management in enterprise AI rollouts4.How developer experience is being reshaped by AI tools like GitHub Copilot & ChatGPT5. Real-world lessons from AI deployments in healthcare, agriculture, and financial services6. The rise of small language models (SLMs) and their enterprise advantagesKey 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/4mjcMXpProjectPro 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
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Over AI Monetisation

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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