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
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?
Key Takeaways:
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
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
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
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
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?
Key Takeaways
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
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
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
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 odds
2. 4 buckets of enterprise AI adoption: From co-pilots to custom innovation
3. How AI is transforming sales enablement and customer engagement
4. Strategic frameworks for selecting the right AI approach (buy vs build vs co-create)
5. The evolving collaboration between business and IT in AI projects
Actionable Takeaways
1. Prioritize adoption and ROI over the latest tech trends
2. Use AI co-pilots to unlock productivity at scale across your workforce
3. Build custom AI for competitive advantage backed by solid governance
4. Don’t ignore the human side. AI success requires buy-in across roles
5. Avoid “AI greed”: focus on value creation, not just cost-cutting
This 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/4oxIHpF
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/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?
Key Takeaways:
1. Focus on solving real pain points like admin overload and documentation quality
2. AI is most impactful when enhancing, not replacing, human decision-making
3. Domain-specific fine-tuning is critical for trustworthy clinical AI
4. Real-time fact extraction helps clinicians act on insights as they emerge
5. Healthcare AI must prioritize transparency, explainability, and human oversight
This 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/4m3aA7q
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/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?
Key Takeaways:
1. Document processing and customer service are the biggest GenAI ROI drivers in finance
2. Start simple: Evaluate models incrementally and build from real business problems
3. Use SME-guided few-shot learning and lightweight fine-tuning for enterprise accuracy
4. Define evaluation and ROI metrics before building any solution
5. Focus on explainability and expectation-setting to gain business trust and adoption
This 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/44LTTqL
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/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 Stone
We’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 learning
2. Julie’s flipped learning model in corporate L&D and how it's driving faster proficiency
3. TTEC’s use of AI-powered tools like Curriculum Wizard and Coaching Wizard
4. The convergence of coaching, skilling, and knowledge management
5. Navigating AI adoption barriers like tool overload, governance, and change management
Key Takeaways1. Why average learning fits no one, and how AI enables tailored, task-specific experiences
2. How AI is freeing up human capacity for empathy, creativity, and deeper performance
3. The essential elements of empowerment: value, belonging, and growth
4. Career advice for the AI-native workforce: build durable skills and shape your own journey
This 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/4lFTxYI
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/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?
Key Takeaways:
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/3GByYNV
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/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?
Key Takeaways:
This 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-
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-
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?
Key Takeaways:
1. AI models reflect the societal and demographic imbalances present in their training data
2. Personalization without representation can lead to massive financial and brand risks
3. Bias correction must start early at data selection, architecture, and prompt engineering levels
4. Responsibility for bias mitigation cannot lie with a single team or function
5. Enterprises must rethink traditional hiring and development mindsets to stay relevant in the AI era
This 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/44d07Qh
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/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?
Key Takeaways
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/448YxyV
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/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?
Key Takeaways
1. Agentic AI enables exception-based reasoning across enterprise processes
2. Reliable AI outcomes require continuous evaluation and strong guardrails
3. Successful alliances are built on trust, clarity of purpose, and shared value
4. AI adoption is shifting from isolated use cases to full-process optimization
5. Data modernization, not just model performance, is the real bottleneck
6. Enterprise upskilling must include data literacy as a core competency
This 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?
Key Takeaways
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/4dXBJVM
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/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 Background
With 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 automation
Key Takeaways:
1. Personalization and context are non-negotiables in enterprise learning
2. True growth happens in psychologically safe, exploratory environments
3. Learning must shift from static content to adaptive, AI-generated skill development
4. Strong data foundations are essential for tracking performance and enabling tailored upskilling
5. Future talent strategies must account for early-career learning disrupted by AI automation
This 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/4jzLdYv
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/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?
Key Takeaways:
1. Self-driving labs can drastically reduce the time and cost of experimentation
2. Combining robotics and AI enables closed-loop scientific workflows
3. Domain expertise remains essential for guiding and validating automated systems
4. Modular, interoperable lab setups are key to scalable automation
5. The future of science will be hybrid, with humans and machines collaborating in real-time
This 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/3Z4w1vn
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/45tlLAA