Fail Faster

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Fail Faster episodes

  • #510 - Beyond Automation - The Rise of Human x AI Co-Intelligence

    In this episode, Khushi and Liza dive into how AI is reshaping the workplace, not by replacing people, but by transforming what people spend their time on.

    They explore how automation takes over repetitive tasks, freeing humans to focus on creativity, judgment, and collaboration.

    The conversation highlights why successful AI adoption is less about tools and more about mindset, trust, and change readiness.

    They discuss the importance of transparent systems, strong process foundations, continuous learning, and designing workflows where humans and AI complement rather than compete with one another.

    1. AI will automate repetition, not human intelligence. AI is most effective in handling tasks that are rule-based, predictable, and time-consuming. This frees people to focus on higher-value responsibilities such as strategy, innovation, collaboration, and relationship building. The workplace shift is from task execution to thinking, solving, creating, and reinforcing the value of uniquely human skills.

    2. Adaptability is the skill of the future. Technical proficiency matters, but the most important workforce capability now is adaptability. Employees who are willing to learn continuously and evolve with new tools will move forward. Organizations must foster learning environments that encourage curiosity, experimentation, and skill expansion rather than resistance or fear of change.

    3. AI success depends on business alignment, not technology alone. AI initiatives must begin with a clear understanding of business goals. When organizations deploy AI purely for technical uplift, the outcomes are inconsistent. When they anchor it to measurable objectives like efficiency, decision speed, compliance, cost optimization, outcomes are scalable and repeatable. AI is most valuable when it solves a real operational or strategic problem.

    4. Trust and transparency drive adoption. For AI to be actively embraced, people must understand how outputs are generated. Explainable, transparent systems create confidence and reduce hesitation in usage. Without trust, adoption stalls, regardless of how advanced the technology is.

    5. The future workplace is human + AI co-intelligence. AI accelerates the work. Humans shape the meaning. The future belongs to employees and leaders who use AI as a partner, combining machine efficiency with human judgment to create outcomes that are faster, smarter, and more impactful.

    38 min
  • #509 - Augmenting Human Work - Gen AI's Impact on Enterprise and Teams

    In this episode, Ashish Vinod Singh, Senior Director & Head of ERP at Sunrun, joins Khushboo Bajaj to explore how AI is transforming the future of work, not by replacing humans, but by augmenting human capability.

    They discuss the evolution of AI from data science experiments to enterprise-ready systems, how leaders can balance automation with empathy, and why the real ROI of AI lies in empowering people to do more meaningful work.

    Key Highlights -

    + Why culture and context matter in AI adoption + Balancing efficiency with empathy in digital transformation + The shift from automation to augmentation in enterprise AI + The evolving partnership between humans and intelligent systems

    This conversation is a must-listen for leaders shaping the next frontier of intelligent enterprises.

    Tune in now and discover how to lead in the age of augmented intelligence.

    41 min
  • #509 - Augmenting Human Work - Gen AI's Impact on Enterprise and Teams

    In this episode, Ashish Vinod Singh, Senior Director & Head of ERP at Sunrun, joins Khushboo Bajaj to explore how AI is transforming the future of work; not by replacing humans, but by augmenting human capability.

    They discuss the evolution of AI from data science experiments to enterprise-ready systems, how leaders can balance automation with empathy, and why the real ROI of AI lies in empowering people to do more meaningful work.

    Key Highlights -

    + Why culture and context matter in AI adoption + Balancing efficiency with empathy in digital transformation + The shift from automation to augmentation in enterprise AI + The evolving partnership between humans and intelligent systems

    This conversation is a must-listen for leaders shaping the next frontier of intelligent enterprises.

    42 min
  • #508 | From CIO to AI Visionary - Nishit Sahay on Marvell's Tech Transformation and the Future of AI Governance

    The podcast, "From CIO to AI Visionary: Nishit Sahay on Marvell's Tech Transformation and the Future of AI Governance, features guest Nishit Sahay, CIO at Marvell Technology who discusses his journey to becoming an SVP and CIO, emphasizing the shift in his role from an "apps and data person" to someone focused on making the company more efficient through technology. The host is Khushboo Bajaj, ServiceNow leader, InfoBeans.

    39 min
  • #507- Data Flops to AI Wins: Sandwich Secrets from Walmart's Data Bridge

    The podcast, "Data Flops to AI Wins: Sandwich Secrets from Walmart's Data Bridge," features guest Amit Shivpuja, Director of Data Governance and Strategy, Walmart discussing his journey in data and AI, including his "sandwich framework" for understanding data, tools, processes, people, and security. The host is Vandana Sharma, Senior Director AI - Powered Solutions & Impact, InfoBeans.

    31 min
  • #507: The Data & AI Compass Navigating Insights with the Sandwich Framework

    The key takeaways:

    • The Sandwich Framework: Amit Shivpuja introduces a "sandwich framework" for understanding data and AI initiatives, which includes domain, data, tools/algorithms, processes/governance/strategy, people, and security/compliance.

    • Real-time Data Usage: Not all data needs to be real-time. It's crucial to understand the business context and use case before implementing real-time data solutions to avoid user frustration and negative impacts.

    • Importance of Data Governance: Strong data governance, including single sources of data, documented descriptions, clear metadata, and human verification, is essential for successful AI implementation and to prevent "garbage in, garbage out" scenarios.

    • AI Literacy: In today's world, AI literacy is a must for everyone, especially in tech jobs. Individuals should understand what AI can do, its limitations, and its pros and cons, even if they don't know the internal workings.

    • Focus on Business Problems: It's important to understand the business problem first and then determine if AI is the right solution, rather than trying to apply AI to every problem.

     

    30 min
  • #506: Pivoting Fast: Lessons from Vivek Mahapatra on AI and Enterprise
    • Join InfoBeans' Vice President, Sales, Sandeep Padhye, as he speaks with guest Vivek Mahapatra, Vice President, AI Product, Salesforce, about the rapidly evolving world of AI and its impact on the enterprise. They discussed the importance of "failing fast" and the critical elements for successful AI implementation, including trust, governance, and data integration.
    37 min
  • #505 - Navigating the future: Innovations in ServiceNow and Generative AI

    In this Fail Faster episode, we catch up with Derek Nohr, Director of Corporate Solutions (ServiceNow and Atlassian) at Avalara once again. We discuss his team's remarkable growth and also explore the impactful role of generative AI and Now Assist in revolutionizing ITSM. Derek shares insights on the importance of data quality for AI success and his vision for enhancing employee experiences in 2025. Tune in to discover future trends, challenges in adapting new technologies, and Derek's personal and professional resolutions for the year ahead.

    29 min
  • #504 - Modernizing legacy systems: AI, data strategy, and driving change

    In this episode of the Fail Faster Podcast, Gurdeep Singh, a seasoned solution architect at Chubb with over 25 years in the technology sector, shares his fascinating journey from dismantling radios in his childhood to tackling large-scale modernization projects in financial services. Gurdeep discusses the complexities of legacy system transformation, navigating organizational resistance, and the power of aligning business and technology for impactful change. He also shares his insights on leveraging AI responsibly, building strong data foundations, and fostering collaboration across all levels of an organization. Packed with lessons learned from career-defining challenges and forward-looking strategies, this episode is a must-listen for anyone aiming to modernize systems while keeping people at the heart of innovation.

    35 min
  • #503 - Digital transformation in HR with Dana St. Pierre

    In this episode of Fail Faster, we welcome Dana St. Pierre, Director of Digital Talent Engine at Constellation Brands. With over 15 years of HR and recruitment experience across nuclear engineering, cannabis, and beverage alcohol industries, Dana brings an innovative approach to HR. She is passionate about diversity and inclusion, and in her current role, she leads digital talent recruitment and HR programming to drive transformation at Constellation Brands. Dana holds a B.A. in Organizational Leadership and a Master's in Human Resource Management from Chapman University, as well as a Masters in Ayurvedic Medicine. Outside of work, she enjoys holistic wellness, yoga, art, music, and spending time with her family. Join us to hear Dana's insights on digital transformation in HR.

    46 min

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