AI Monetisation

• How Upwork uses AI to Accelerate Product Innovation and User Value?

  In this episode of the AI Monetisation Podcast, Dave Bottoms, SVP and GM of Marketplace at Upwork joined Co-founder Binny Mathews to show how the world’s leading work marketplace is leveraging AI to accelerate innovation and unlock user value at scale.What's Inside?✅ AI-driven innovation: How Upwork uses GenAI to solve real customer pain points✅ Talent matching at scale: Using LLMs to surface the right freelancers in seconds✅ Product acceleration: The role of AI in rethinking experimentation and development✅ Use-case selection: How Dave’s team prioritizes AI investments that drive value✅ Freelance economy insights: The evolving nature of work in an AI-first worldKey Takeaways1. Focus on use cases where AI tangibly improves speed, quality, or user experience2. Build AI solutions in close alignment with customer needs and product priorities3. Establish a framework for experimentation, not just innovation theater4. Pair human expertise with AI augmentation to enhance, not replace, decision-making.5. Start with strategic intent, not the shiny new tool.This episode is a must-watch for product leaders, platform builders, and anyone looking to harness AI for customer-centric innovation!For full show notes, visit- https://bit.ly/44mQyyDProjectPro 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://www.projectpro.io/monetise-ai

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• How to Identify High-ROI AI Projects for Your Enterprise

  In this episode of the AI Monetisation Podcast, Anurag Bhagat, Senior Generative AI Strategist at the Generative AI Innovation Center, Amazon Web Services (AWS), joins Binny Mathews, Co-founder of ProjectPro, to share how enterprises can identify and scale high-ROI AI projects with confidence.What's Inside?Why executive demand for GenAI is unprecedented—and what it means for enterprisesA practical framework for prioritizing AI use cases across industriesHigh-ROI use cases like intelligent document processing (IDP) and GenAI-powered contact centersBuilding internal roadmaps vs. point solutions: The key to sustainable ROIWhy data quality, metadata, and risk guardrails still matter in the GenAI eraWhat great data scientists do differently: Bridging business understanding with technical depthKey Takeaways:Prioritize low-hanging fruit early to build momentum and buy-inTrue ROI comes from a portfolio of use cases, not isolated pilotsEnterprise GenAI adoption must account for workflow fit, latency, accuracy, and costExpertise remains critical—AI augments, not replaces, human judgmentBuild agile pipelines to swap in better models as the space rapidly evolvesThis episode is essential listening for business and tech leaders aiming to unlock meaningful value from GenAI without falling for the hype!For full show notes, visit- https://bit.ly/3YUPoXoProjectPro 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/4lQ0k2j

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• How AI Solves 7 Burning Problems in Insurance Underwriting

  In this episode of the AI Monetisation Podcast, Hesaam Aslani, Global AI & Gen AI Leader, Financial Services at Capgemini, joins Binny Mathews, to reveal how AI is transforming the $114B insurance underwriting industry.Guest BackgroundHesaam brings deep domain expertise, having led AI and analytics at QBE, Munich Re, and AIG before heading global financial services AI initiatives at Capgemini. His work showcases how GenAI is revolutionizing core underwriting workflows—from risk analysis to fraud detection.This episode is a must-listen for insurance leaders, actuaries, and AI practitioners eager to see how GenAI can drive real business transformation in one of the world’s most data-heavy industries!For full show notes, visit- https://bit.ly/42Lt4RmProjectPro 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/4cFVAbs

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• How to Build an Enterprise-Ready AI Prioritization Strategy

  In this episode of the AI Monetisation Podcast, Lexy Kassan, Lead Data and AI Strategist at Databricks, joins Binny Mathews to share how enterprises can build a practical, scalable, and enterprise-ready AI prioritization strategy.Guest Background:Lexy brings a rich and diverse background to the table. She started her career as a business analyst and evolved into a data scientist, risk analyst, and now a global thought leader in responsible AI. At Databricks, she works closely with CXOs to guide enterprise AI adoption, drive responsible AI frameworks, and reshape data governance and operational models.What's Inside?✅ AI strategy playbook: How to balance hype, risk, and value✅ The new role of data foundations in enabling successful AI✅ What "last mile AI" really means and why it’s business-critical✅ Build vs. Buy: How to assess enterprise AI solutions smartly✅ Responsible AI: From compliance to cross-functional accountability✅ The evolving role of dashboards, agents, and embedded insights✅ When NOT to use generative AI: A contrarian takeKey Takeaways:1. AI success starts with robust data governance and business alignment.2. Don’t over-engineer—sometimes simpler solutions outperform GenAI.3. Shift from dashboards to actionable, workflow-integrated insights.4. Prioritize use cases based on business value, not just technology excitement.5. Responsible AI is everyone’s job—from IT to legal to business units.This episode is essential listening for enterprise leaders, data strategists, and AI practitioners looking to drive real impact from their AI initiatives—without losing sight of cost, governance, or long-term value.For full show notes, visit: https://bit.ly/4lwsEH3ProjectPro 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/3Y2b8QV

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• How IBM’s Tiny Models Deliver Big ROI: A Guide to Build Fit-for-Purpose AI Models

  In this episode of the AI Monetisation Podcast, Nicholas Fuller, IBM's Vice President of AI and Automation, joins Binny Mathews, Co-founder of ProjectPro, to explore how IBM is achieving real-world business impact with tiny, fit-for-purpose AI models. Guest Background: A 23-year IBM veteran, Nicholas leads global efforts in LLM and agentic AI innovation at IBM Research. From mainframe code modernization to tiny time-series models, his team is redefining how enterprises build scalable, trustworthy AI products.What’s Inside?Why fit-for-purpose models outperform massive LLMs for real-world ROIInside IBM’s 5M parameter “tiny mixer” models for time-series forecastingHow Guardian models ensure enterprise-grade safety and data privacyThe future of agentic AI in IT operations and incident managementWhat it takes to build industrial-grade AI benchmarks like ITBench Key Takeaways Fit-for-purpose AI is more efficient and enterprise-ready than massive general-purpose models.Domain-specific models trained on smaller, high-quality datasets can outperform larger counterparts.Security, provenance, and explainability are critical for enterprise AI adoption.Internal co-creation and enterprise-specific benchmarks accelerate trust and deploymentHiring and retaining top AI talent requires purpose-driven work and deep academic partnerships. This episode is essential listening for enterprise leaders, product builders, and AI practitioners seeking practical strategies to scale AI without compromising on safety, trust, or impact!For full show notes, visit- https://bit.ly/43I4eE5ProjectPro 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/3RFrZoTResources Mentioned:Here are some links to dig deeper into the topics:IBM GraniteGranite Time Series ModelsGranite Guardian ModelsIBM SoftwareITBenchPrompt Declaration Language

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