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26/08/2026

Are you ready to integrate artificial intelligence into your product strategy? Join us for an exclusive live session where we dive deep into the realities of Building Products with AI.

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Whether you are a founder, product manager, or developer, this session will cut through the hype and deliver actionable insights on creating real value with AI.

What We Will Cover:

Identifying the highest-impact AI use cases for your specific market.

Navigating the architectural shift from traditional software to AI-first products.

Overcoming common bottlenecks in AI development, testing, and deployment.

Interactive Q&A to help solve your current product roadmap challenges.

Meet the Speakers
Guest Speaker: Vinod Sharma
Vinod brings extensive experience in engineering leadership and scaling technology solutions.
Connect: https://www.linkedin.com/in/vinodsharma10x/

Host: Sanjay Saini
Guiding the conversation on technology innovation and effective ex*****on.
Connect: https://www.linkedin.com/in/iamsanjaysaini/

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14/08/2026

AI is fundamentally breaking traditional Agile rituals, forcing the Product Owner role to shift from manual creator to AI conductor. Discover exactly how to adapt your daily Scrum workflow, validate AI-generated backlogs, and train your product judgment before your current skill set becomes obsolete.

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Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

The rise of AI is radically transforming product management, creating a mandatory shift from the traditional "Creator" to the new "AI Conductor." Instead of writing user stories, grooming backlogs, and drafting release notes by hand, the modern Product Owner now uses tools like Claude Cowork to generate the first draft before the team even steps into the room. But this introduces a massive hidden risk: if AI does the heavy lifting, how do you train the human judgment required to verify the work? This session breaks down the future of AI Augmented Scrum, exploring exactly what happens to Agile rituals—from daily standups to sprint retrospectives—when the production value drops to zero and judgment becomes your only competitive advantage. We map this framework across the entire product lifecycle to show you the new day-to-day reality of leading AI-driven engineering teams.

The Top 5 FAQ Section

Q: How does AI change the Product Owner role?
A: AI shifts the Product Owner from a manual creator (writing tickets, documentation) to a conductor (prompting AI agents, validating output, and guiding product strategy). The focus moves from production to high-level judgment.

Q: What is the "Creator-to-Conductor" framework?
A: It is the transition from doing all the hands-on work yourself to guiding AI systems to do the heavy lifting. The human role shifts exclusively to quality control, strategic alignment, and final approval.

Q: How will AI impact Agile rituals and Scrum?
A: Traditional rituals like backlog grooming and standups change drastically. When an AI generates the first draft of a sprint backlog beforehand, meetings shift from "planning the work" to "critiquing and validating the AI's assumptions."

Q: Can you still judge AI output if you never learned to do the work manually?
A: This is the core challenge of the Conductor era. Without foundational hands-on experience, junior Product Owners may struggle to identify subtle AI hallucinations or poor architectural decisions, making mentorship and baseline training more critical than ever.

Q: How can Product Owners use Claude for daily workflows?
A: Product Owners can use tools like Claude Cowork to instantly draft user stories from feature specs, summarize discovery calls, generate release notes, and propose sprint capacities, leaving the human to simply refine and approve.

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11/08/2026

Artificial Intelligence is fundamentally changing how software is built, meaning traditional Scrum alone is no longer enough to stay competitive. Discover the critical shift from managing manual engineering tasks to orchestrating AI-native delivery models.

Watch more FREE learning resources - https://www.youtube.com/?sub_confirmation=1

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

As AI takes over an increasing share of software engineering work, traditional Agile practices are reaching their limits. This session explores the urgent transition to AI-native software delivery, challenging the baseline assumptions of standard Scrum frameworks. We dive deep into how engineering workflows are evolving when AI handles routine coding, testing, and deployment. Instead of merely moving tickets, tomorrow's Agile teams must focus on orchestrating human expertise alongside AI capabilities to drive concrete business outcomes and permanently lower OpEx. Whether you are a Scrum Master, Product Owner, or engineering leader, understanding this paradigm shift is essential. We map out the contours of an AI-augmented software development lifecycle, answering the critical questions organizations face as they scale their agentic AI workforces. For deeper frameworks on navigating this exact operational shift, you can explore the resources at aiaugmentedscrum.com.

The Top 5 FAQ Section

Q: What is AI-native software delivery?
A: It is a modern engineering model where artificial intelligence is integrated into the core of the development lifecycle, shifting the focus from human-only task ex*****on to workflows driven by AI agents.

Q: Will AI replace Scrum Masters and Agile teams?
A: AI won't entirely replace them, but the roles are evolving heavily. Teams are shifting from managing human output to orchestrating a hybrid workforce of human engineers and machine intelligence.

Q: Why is traditional Scrum no longer enough?
A: Scrum was designed for human-speed iterative development. AI accelerates coding and testing so rapidly that traditional two-week sprints and manual task management quickly become bottlenecks.

Q: How does AI change engineering workflows?
A: AI automates routine coding, QA, and deployment, forcing workflows to shift toward architectural design, complex problem-solving, prompt engineering, and AI output validation.

Q: How can organizations transition to an AI-augmented Agile model?
A: Companies must adapt their tech stacks, redefine team roles to focus on AI orchestration rather than task tracking, and update their Agile ceremonies to account for machine-speed delivery.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

05/08/2026

AI is no longer just a tech trend—it’s a general-purpose technology reshaping every industry in 2026, but only 1 in 3 companies knows how to actually scale it. In this live session with Parul Bajpai, we reveal the exact roadmap to future-proof your career, navigate the risks, and turn AI into your ultimate armor.

Watch more FREE learning resources - https://www.youtube.com/?sub_confirmation=1

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

In 2026, artificial intelligence has officially gone horizontal, shifting from a niche industry story to a universal tool touching nearly every field. With 88% of organizations adopting AI, the biggest question is no longer "if" we use it, but "how well" we scale it. This comprehensive breakdown explores the AI surge across sectors from healthcare to energy. We unpack the double-edged sword of this rapid growth: the projection of 78 million new AI jobs by 2030, weighed against critical challenges like job displacement, deepfakes, bias, and a doubling energy footprint.

Looking ahead, we discuss the transition toward autonomous AI agents by 2030—driving zero-marginal cost operations and permanently lowering OpEx—and AI operating as invisible, ambient infrastructure by 2035. For product managers and leaders, the winning strategy is clear: focus on redesigning workflows rather than just bolting on AI features, prioritize governance as a product surface, and learn to make AI your competitive armor.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

04/08/2026

Are you wondering how AI is actually being used to solve real-world business problems and drive growth? Discover the definitive guide to implementing AI in your organization, from specific healthcare applications to navigating data security and job displacement fears.

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

In this episode, we sit down with Sisir Maharana, Director of Data Analytics and AI at TeamArcs, to break down exactly what AI means for business today and why it is so critical. We discuss the IT services his company provides and explore which industries are currently seeing the biggest impact from AI integration. Sisir shares exclusive, behind-the-scenes insights into how his team is using AI in real projects, specifically detailing the impactful AI features within a healthcare (HMS) project and the problems faced during development. We also tackle hard-hitting enterprise concerns: how organizations should start their AI journey, the biggest implementation challenges, and whether AI is truly secure. Whether you are a business leader or a young professional starting your AI journey, this conversation delivers the actionable lessons you need.

The Top 5 FAQ Section

Q: How can AI help businesses grow?
A: AI helps businesses scale by automating complex tasks and directly impacting industry operations, which is explored through real-world examples of how companies are using AI today.

Q: What problems arise when building AI features?
A: Developing AI features, such as those in healthcare management systems (HMS), comes with unique roadblocks; navigating these challenges is crucial for successful implementation.

Q: Will AI replace jobs?
A: While automation is shifting the landscape, this episode addresses the common worry that AI will replace jobs and provides an expert perspective on how AI actually impacts young professionals.

Q: How should organizations start their AI journey?
A: Businesses must first understand what AI means for their specific industry today before investing, ensuring they learn the biggest lessons from experts already working with the technology.

Q: Is AI secure for enterprise use?
A: Security is a major focus for businesses facing challenges when implementing AI, requiring strict data governance and careful integration into existing IT services.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

03/08/2026

If AI can write, code, analyze, and automate, what makes humans truly indispensable in the modern workplace? Discover why Emotional Intelligence (EQ) is your ultimate competitive advantage and the one skill machines can never replicate.

Watch more FREE learning resources - https://www.youtube.com/?sub_confirmation=1

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

As Artificial Intelligence (AI) rapidly transforms how we work, make decisions, and communicate, many professionals fear becoming obsolete. However, while machines excel at processing data and automating tasks, they lack a critical component: humanity. This video breaks down why Emotional Intelligence (EQ) is the most valuable leadership and career skill in the AI era. We explore the core differences between AI capabilities and human EQ, showing you how to future-proof your career by mastering self-awareness, empathy, and relationship management. Whether you are an individual contributor wanting to stay relevant or a manager looking to build trust during times of uncertainty, understanding how to combine AI intelligence with emotional intelligence is the key to thriving. We cover practical strategies to enhance your EQ, adapt to technological change without burnout, and ensure you remain an indispensable part of your organization’s future.

The Top 5 FAQ Section

Q: What is the difference between AI and Emotional Intelligence (EQ)?
A: AI excels at analyzing data, automating repetitive tasks, and generating logical insights. EQ is the human ability to understand emotions, build trust, motivate teams, and navigate complex interpersonal dynamics that data alone cannot solve.

Q: Why is Emotional Intelligence important in leadership today?
A: In an AI-driven workplace, leadership shifts from simply having the right answers to guiding teams through uncertainty. High-EQ leaders create psychological safety, encourage human-AI collaboration, and build trust when technological changes create fear.

Q: Can AI replace human emotional intelligence?
A: No. While AI can simulate polite responses, it cannot genuinely experience empathy, read unspoken emotional cues, or build authentic relationships. It lacks the lived human experience required for true connection.

Q: How can individual contributors use EQ to advance their careers?
A: Professionals can use EQ to adapt to rapid changes (resilience), understand colleagues' perspectives (empathy), manage their reactions to stress (self-regulation), and communicate effectively during conflicts—skills AI cannot replicate.

Q: What is the risk of low EQ in an AI-dominated world?
A: Relying solely on technology without EQ leads to faster communication but weaker relationships, higher productivity but increased burnout, and data without genuine understanding, ultimately disconnecting teams.

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27/07/2026

AI agents are permanently changing the structure of engineering teams, making traditional Agile frameworks obsolete. Discover exactly how the Scrum Master, Product Owner, and Architect must adapt to survive in an era where building software costs nearly zero.

As engineering teams scale, reducing OpEx with Agentic AI workforces is becoming the ultimate competitive advantage. But when AI agents multiply and prototypes become essentially free to build, traditional Agile leadership breaks down. The economics of an autonomous enterprise demand a total shift in how we manage output. In this breakdown featuring insights from Julia Kung (founder of the Coherence Architecture Institute), we explore how the Scrum Master evolves into a Coherence Architect, orchestrating alignment across both human and machine actors. We also reveal why the Product Owner must become the Keeper of Why to filter out the noise of infinite AI generation, and how software Architects are transitioning into Keepers of Bounds—setting strict guardrails for decentralized decision-making. This is the blueprint for replacing rigid SaaS workflows with open-source agents while keeping human leadership strictly focused on strategic value.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

15/07/2026

Why do so many high-earning IT professionals with great tech salaries still struggle financially? In this episode of From Sprint Planning to Wealth Planning, 2-decade IT veteran Amit Singh breaks down how to apply Agile and Scrum frameworks to your personal finance so you can stop living sprint-to-sprint and start building real wealth.

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

If you are a software engineer, project manager, or tech professional earning a great IT industry salary, you might think your financial future is secure. But earning a high income doesn't automatically equal financial freedom, especially with AI rapidly disrupting tech jobs and causing layoffs. In this guide to personal finance for IT professionals, we bridge the gap between software development and wealth management. Learn how to treat your household budget like a product backlog, run a monthly 15-minute "Money Stand-up" with your family, calculate your personal financial velocity, and use a home loan burn-down chart to track debt payoff. Stop letting career success mask poor wealth optimization. Discover the exact 5 financial mistakes tech professionals make and how to transition from traditional sprint planning to long-term wealth planning for ultimate peace of mind.

The Top 5 FAQ Section
Q: Why do high-earning IT professionals still struggle financially in India?

A: Because tech professionals often focus entirely on career growth and high salaries rather than wealth creation. Lifestyle inflation, lack of financial planning, and treating a high income as permanent wealth leave many vulnerable to economic shifts.

Q: How can you use Agile and Scrum frameworks for personal finance?

A: You can treat your family finances like a tech project. This means running a 15-minute monthly "Money Stand-up" to align on budgets, creating a financial backlog to prioritize investments, and using a burn-down chart to aggressively track debt like home loans.

Q: What is the financial version of "Velocity" for personal finance?

A: Financial velocity is the rate at which you convert your active income into wealth-building assets. Instead of just measuring bank balances, track your savings rate and investment growth velocity to ensure sustainable financial delivery.

Q: Does financial stress affect software engineer performance at work?

A: Absolutely. Tech jobs demand deep focus and high cognitive loads. Financial anxiety drains mental bandwidth, leading to burnout, lower productivity, and decreased innovation, which directly impacts long-term career growth.

Q: How should AI and tech layoffs change the way IT professionals think about money?

A: AI is radically lowering the marginal cost of operations, meaning tech professionals can no longer rely on guaranteed, linear salary hikes. Money management must shift from passive saving to an aggressive, deflation-proof wealth strategy focused on asset accumulation.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

14/07/2026

Are you ready for the advent of AI in product management, or will your role become obsolete? Discover how top Product Owners are using deflationary AI and agentic workforces to drastically reduce OpEx and ship faster.

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

We dive deep into the advent of AI for Product Owners, analyzing the shift toward a deflationary tech stack where zero-marginal cost operations become the new standard. As companies capitalize AI development costs and move away from traditional models, Product Owners must adapt their workflows. This panel explores proven strategies for replacing expensive SaaS seats with open-source agents, ultimately reducing OpEx with agentic AI workforces. We discuss the exact AI ROI calculations required for board meetings and how an autonomous enterprise alters the agile framework. Whether you are managing backlog refinement or strategic roadmaps, leveraging these deflationary AI tools is essential to secure your position as a high-value product leader.

The Top 5 FAQ Section

Q: How is AI changing the Product Owner role?
A: AI is automating backlog generation, user story writing, and data analysis, shifting the PO role toward higher-level strategy and managing agentic AI workforces.

Q: Will AI replace Product Owners?
A: AI will not replace POs, but POs who use AI will replace those who do not by driving zero-marginal cost operations and massive efficiency gains.

Q: What are the best AI tools for Agile teams?
A: The landscape is moving rapidly from standard SaaS to open-source agents that integrate directly into your workflow to permanently lower operational expenses.

Q: How do I calculate the ROI of AI in product development?
A: Focus heavily on the reduction of OpEx versus capital expenditures (CapEx) when deploying AI workforces instead of traditional software solutions.

Q: What is a deflationary tech stack?
A: It refers to leveraging AI and autonomous agents to permanently lower operational costs and replace expensive per-seat SaaS licenses within your organization.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

13/07/2026

Are you ready for the massive shift from traditional SaaS to deflationary AI tech stacks? Discover exactly how Product Managers must adapt to lead agentic AI workforces and drive zero-marginal cost operations.

Join the WhatsApp group for regular updates - https://chat.whatsapp.com/Gc5yep9PLnT1SLoAwzZusJ

Visit our websites for FREE learning resources -

https://aidevdayindia.org/
https://agileleadershipdayindia.org/
https://scrumdayindia.org/
https://productleadersdayindia.org/

In the rapidly evolving landscape of Product Management in the AI Era, traditional software paradigms are dying. This breakdown explores the massive industry shift toward deflationary tech stacks and how modern PMs are leveraging open-source agents to permanently lower OpEx. If you are building products today, understanding how to transition from managing software seats to deploying autonomous enterprise solutions is non-negotiable. We dive deep into AI ROI calculation for board meetings, the economics of an autonomous enterprise, and whether your organization should be capitalizing AI development costs (Capex vs Opex). By mastering these agentic workflows, you position yourself at the forefront of the AI product revolution, moving beyond basic prompt engineering into actual AI systems architecture and sustainable profitability.

Top 5 Most Searched Questions on AI Product Management
Q: What is AI Product Management?
A: It is the discipline of building, deploying, and managing artificial intelligence models and autonomous agents to solve user problems, rather than building traditional rule-based SaaS applications.

Q: Will AI replace Product Managers?
A: AI will replace PMs who only manage standard software lifecycles. However, PMs who learn to orchestrate agentic AI workforces and calculate clear AI ROI will become vastly more valuable and heavily recruited.

Q: How do I transition to an AI PM role?
A: Start by understanding the economics of deflationary AI, mastering data pipelines, and learning how to evaluate open-source models versus proprietary APIs to reduce a company's operational expenses.

Q: What are the key metrics for AI products?
A: Beyond standard user engagement, AI PMs must track inference costs, model accuracy, hallucination rates, and the true OpEx reduction achieved by replacing human tasks or expensive SaaS seats with autonomous agents.

Q: How do you calculate ROI for AI development?
A: ROI is calculated by comparing the Capex of training and integrating AI models against the long-term Opex savings of zero-marginal cost operations and highly automated workflows.

� New to streaming or looking to level up? Check out StreamYard and get ₹740 discount! �

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