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In this episode, Amir Bormand interviews Kevin Trilli, Chief Product and Technology Officer at Amount Financial, about balancing product and technology leadership. They explore the challenges and benefits of merging product and tech roles, managing technical debt, and aligning product vision with business goals. Kevin shares personal experiences, insights on engineering leadership, and the evolving impact of AI on product management.
Key Takeaways:
Merging Product & Tech Leadership: Combining product and tech roles can streamline decision-making but requires balancing business goals with technical feasibility.
Customer-Focused Development: Aligning engineering and product teams around customer success fosters collaborative problem-solving and better outcomes.
Technical Debt Management: Managing tech debt involves allocating resources strategically, minimizing replatforming, and balancing short-term needs with long-term sustainability.
AI's Role in Product Development: Understanding AI technologies is critical for product managers as AI-driven solutions reshape development processes.
Highlights:
01:25 - Combining Product and Tech Roles: Lessons from Leadership
03:45 - Engineering & Product Alignment for Customer Success
05:30 - Managing Feedback Loops Between Teams
09:10 - Balancing Business Goals and Technical Execution
12:55 - The Impact of AI on Product and Engineering Teams
18:20 - Navigating Technical Debt and Roadmap Trade-offs
24:50 - Making Long-Term Product and Tech Decisions
Tune in for a deep dive into product-tech leadership, engineering strategy, and practical advice on building high-performing tech organizations.
As Chief Product and Technology Officer at Amount, Kevin Trilli shapes the entire product and technology organization, crafting and executing the product vision, product and innovation strategy while overseeing software and technology development. With a history of global product and technology officer roles in venture-based SaaS companies, including fintechs Mambu and Onfido (acquired by Entrust), Kevin is instrumental in helping scaling companies to over $100M ARR.Trilli, a Sloan Fellow with an MS in Management from Stanford Graduate School of Business, also holds a BS in Chemical Engineering from the University of Illinois. His expertise extends to multifaceted growth, merging technical proficiency with executive leadership across almost a dozen unique product markets over his career. Kevin also advises and sits on the board for several companies in AI, Cleantech and financial technology.
https://www.linkedin.com/in/trilli/
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In this engaging episode, Amir Bormand interviews Marko Vasiljevic, CTO at Ghost, about the evolving nature of data teams and how businesses can better structure them in a rapidly changing tech landscape. The discussion covers the shift toward more engineering-driven data teams, the influence of AI on team composition, and how businesses can adapt to remain competitive. Marko also highlights the future of self-service data solutions and the decreasing technical barriers for companies of all sizes.
Key Takeaways:
Redefining Data Teams: The need for more engineering-driven data teams as traditional data roles evolve into more technical, systems-oriented functions.
Data as a Product: Viewing data teams as creators of products that support business insights, moving beyond traditional data reporting.
Self-Service Analytics: How businesses can build infrastructure that empowers teams with on-demand data access while reducing reliance on specialized data analysts.
AI-Driven Change: The growing influence of AI in automating technical tasks and shifting the focus toward business-driven problem-solving.
Future of Data Roles: The potential merging of technical and business roles as AI-driven automation reduces the need for deep technical expertise.
Episode Highlights:
[00:00] Introduction – Overview of the episode and guest introduction.
[01:24] Defining Data Teams – How the traditional data team model is evolving.
[03:42] Building Self-Service Data Systems – The path toward more accessible and scalable analytics.
[06:05] DevOps for Data Analytics – Applying DevOps principles to data team operations.
[09:48] Evolving Data Skillsets – Shifting from SQL-heavy roles to full-stack data engineering.
[13:53] AI’s Role in Data Teams – How AI will reshape data and software engineering functions.
[17:29] Business-Driven Data Models – Encouraging product managers to lead tech initiatives.
[21:55] Organizational Impacts – Where technical data roles should report in a modern organization.
[28:33] Competitive Pressures – How automation lowers entry barriers and intensifies market competition.
Don't miss Marko’s valuable insights on building future-proof data teams and staying ahead in an AI-driven world. Like, share, and subscribe for more expert discussions!
Guest:
Marko is a seasoned technologist and CTO who's built and managed engineering, data, product, and design teams at several high-growth startups and unicorns. Marko also founded a few startups and successfully exited one. He's passionate about solving real-world problems with technology, and he is excited about the future of AI.
https://www.linkedin.com/in/marmarko/
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In this episode, Amir Bormand interviews Urvish Parikh, Co-Founder and CTO of Nirvana, to explore how machine learning is transforming the healthcare insurance landscape. Urvish discusses the challenges of working with legacy standards from the 1980s, how Nirvana addresses cost transparency issues, and the social responsibility of improving healthcare systems. Listeners will gain insights into integrating modern technology with entrenched systems and how Nirvana is making healthcare transactions more accessible and efficient.
Key Takeaways:
Legacy Standards Are a Double-Edged Sword
The healthcare industry relies on outdated 1980s standards for transactions, creating inefficiencies but also providing a foundation to build upon.The Role of Machine Learning in Healthcare
Nirvana uses machine learning to recompose scattered data, improving cost transparency and operational efficiency for billing teams.Cost Transparency Is Essential for Access
Lack of transparency in healthcare costs creates financial strain and uncertainty for patients. Nirvana tackles this by increasing visibility into healthcare transactions.Social Responsibility in Innovation
Urvish emphasizes the need to "tend to the system" by creating solutions that not only meet business needs but also address societal challenges.Feedback Loops Drive Better Machine Learning
By engaging users in the process, Nirvana collects valuable data to improve and refine its models.Timestamped Highlights:
00:56 – The Mission of Nirvana: How Nirvana simplifies healthcare transactions to enhance cost transparency. 03:00 – Challenges of Legacy Standards: Why healthcare is still using 1980s-era systems and how Nirvana addresses this issue. 05:00 – Leveraging Machine Learning: How Nirvana uses AI to process and standardize healthcare data for better usability. 08:00 – Operationalizing Complexity: Making the healthcare system simpler for billing teams and patients. 10:00 – Social Responsibility in Healthcare Innovation: The broader mission of tending to a system that serves millions of people. 12:00 – Competing Incentives in Healthcare: Why some legacy organizations are slow to innovate. 15:00 – Adoption Challenges: How Nirvana ensures adoption by focusing on user-friendly workflows and specialization. 18:00 – Change Management and AI: The importance of addressing human factors when introducing new technology. 20:00 – Looking Ahead: Nirvana’s vision for increasing cost transparency and improving healthcare systems.Memorable Quote:
"Healthcare transactions rely on a 1980s standard, but with machine learning, we can make that old foundation work better for today’s needs." – Urvish ParikhThis episode is a must-listen for anyone interested in the intersection of technology, healthcare, and social impact. Don’t forget to like, subscribe, and share!
Guest:
Urvish Parikh is a Cofounder and CTO of Nirvana, a healthtech company committed to simplifying the healthcare ecosystem by making cost for care more transparent and accessible. With over a decade of experience in software engineering and leadership, Urvish brings deep expertise in systems thinking and strategic innovation, driving meaningful changes that enhance outcomes across complex systems.
https://www.linkedin.com/in/urvish-parikh-1534442a/
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In this episode, Michael Hudes discusses the evolving landscape of advertising and media, focusing on how connected screens are reshaping consumer engagement. He explores how LG Ad Solutions leverages data, personalization, and advanced technologies to redefine advertising on connected TVs and other screens. The conversation covers key innovations in the connected TV ecosystem, privacy considerations, and the future potential of AI-driven advertising.
Key Takeaways:
The New Definition of TV: The term "TV" has evolved into "screens connected to the internet," with viewing habits now revolving around streaming and interactive experiences.
Bespoke Consumer Experiences: LG Ad Solutions creates tailored consumer interactions through its ecosystem of connected screens, from home TVs to in-car displays and hospitality settings.
Data-Driven Personalization: While maintaining strong privacy compliance, LG uses first-party data and machine learning to create more relevant and engaging advertising experiences.
Tech-First Business Model: LG Ad Solutions has evolved into a technology-driven platform business, using AI to optimize its advertising operations and content delivery.
Episode Highlights:
00:00 - Introduction: Michael Hudes joins the show to talk about the future of media and advertising.
01:00 - Redefining Television: The shift from TV as a playback device to a connected screen for video, content, and more.
03:30 - Connected Screens Beyond TV: Opportunities in connected appliances, hotel rooms, and in-car displays.
07:15 - Privacy and Data Use: How LG balances personalization with strict privacy compliance.
10:50 - Personalized User Experiences: Examples of reducing friction through smart, connected experiences.
15:00 - Future of Advertising: How AI and machine learning will play a critical role in optimizing both consumer-facing and operational processes.
20:45 - Becoming a Platform Business: LG's transformation into a platform-driven company focused on connected experiences.
23:00 - Final Thoughts: Michael Hudes shares insights on industry trends, future growth, and building a responsible, tech-driven business.
Listen Now: Discover how LG Ad Solutions is shaping the future of advertising and consumer engagement through connected screens, cutting-edge tech, and responsible data use.
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Guest: Andrew Bihl, Co-Founder & CTO at Numeric
Overview:
In this episode, Andrew Bihl discusses how engineering teams can better integrate customer feedback into their development processes. He explores the concept of product engineering, the challenges of context switching, and how engineers can stay close to the customer while maintaining productivity. This episode is essential for tech leaders looking to create a culture where engineers are empowered to solve real customer problems.Key Takeaways:
Customer Proximity Matters:
Engineers should be directly exposed to customers to better understand product requirements and make informed decisions. Avoiding multiple layers between engineers and customers reduces miscommunication and lost context.Context Switching is Costly:
Interruptions during deep work can derail productivity. Effective scheduling and batching of meetings minimize disruptions and maximize focus time for engineers.Product Engineers Build with Ownership:
Product engineers should be involved from problem definition to implementation. Empowering engineers with context improves their ability to make real-time product decisions.Balancing Business Needs with Engineering Focus:
Organizations should facilitate a balance between business engagement and technical execution. Cross-functional collaboration through structured processes prevents common bottlenecks.Highlights:
[00:02:26] Defining the Role of a Product Engineer
[00:03:44] How Customer Feedback Typically Reaches Engineers
[00:05:04] Importance of Engineers Talking Directly to Customers
[00:06:54] Breaking the "Engineers Just Want to Code" Stereotype
[00:08:28] Challenges of Context Switching in Engineering
[00:13:24] Translating Engineering Work to Non-Technical Teams
[00:15:55] Effective Collaboration Between Product Managers and Engineers
[00:17:55] Real-World Example: How Numeric Handles Customer Feedback
[00:20:42] Adjusting the Product Roadmap Based on Customer Insights
[00:24:28] Managing Multiple Roles as a CTOFinal Thought:
Empowering engineers with a deep understanding of customer needs leads to better product development and more fulfilling careers. If you’re looking to refine your product development process and improve customer-driven engineering, this episode is packed with actionable insights.Like, share, and subscribe to stay updated on future episodes exploring leadership, product innovation, and engineering excellence.
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In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology.
Key Takeaways:
Cross-Disciplinary Expertise Fuels Innovation:
Peter’s diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI.
The Value of Domain-Specific Knowledge:
Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights.
Leadership Through Continuous Learning:
Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets.
Building Data-Powered Systems:
Altana’s mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale.
Balancing Technical and Business Leadership:
Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success.
Episode Highlights:
[00:02:30] Blending Civil Engineering with Data Science
[00:05:00] Founding Altana: The Why and How
[00:08:00] Applying AI to Real-World Supply Chain Problems
[00:12:00] Developing Scalable Data-Driven Solutions
[00:16:00] Transitioning into Leadership and Management
[00:20:00] Importance of Mentorship and Feedback
[00:24:00] Leadership Lessons for Technical Founders
[00:28:00] How to Stay Passionate and Focused
Connect with Peter Swartz:
Website: Altana.ai
LinkedIn: https://www.linkedin.com/in/pgswartz
Don't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.
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In this episode, Greg Hahn, a data strategy and governance leader, shares deep insights on building a robust data strategy, navigating AI readiness, and the growing impact of privacy laws. The discussion covers essential pillars of data management, aligning business objectives with data strategy, and how organizations can future-proof themselves through proactive governance.
Key Takeaways:
Data Strategy & Maturity: Build an enterprise-wide strategy aligned with business goals for long-term success. Governance Frameworks: Adopt proven frameworks like DMBoK to streamline governance and boost data quality. AI Readiness: Ensure data integrity, strong infrastructure, and empowered teams before scaling AI initiatives. Privacy Compliance: Embrace evolving privacy laws as opportunities to strengthen trust and operational transparency.Highlights:
01:00 Understanding Data Strategy & Maturity Curve 03:00 The Importance of Foundational Data Elements 05:00 Leveraging Frameworks for Quick Data Strategy Assessment 09:00 AI Readiness and Data Management Challenges 13:00 Data Literacy and Workforce Enablement 16:00 Governance, Security & Data Integrity 19:00 Navigating Privacy Laws and Regulatory Compliance 23:00 The Future of Data-Driven Decision-MakingListen Now: Discover actionable strategies for transforming data into a competitive advantage through enterprise-wide governance, AI readiness, and compliance excellence. Share this episode with data leaders ready to enhance their data strategies.
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,In this episode, Amir hosts Steve Van Lare, VP of Engineering at Anjuna Security, for an insightful discussion on hiring external technology leaders. They explore when and why companies might look outside their organization for tech leadership, how to manage internal dynamics and strategies for smooth transitions.
Steve shares real-world experiences and actionable advice on assessing leadership fit, fostering team cohesion, and navigating leadership changes. Whether you’re a tech leader, HR professional, or founder, this episode delivers essential insights for building a resilient and adaptable organization.
Episode Highlights:
01:55 When to Hire an Outside Technology Leader
03:39 Internal Implications of Hiring Externally
05:16 Handling Internal Friction
09:15 Leadership Style and Organizational Change
11:26 Evaluating the Need for New Leadership
18:27 Ensuring a Good Fit for New Leaders
22:36 Career Growth and Opportunities
Key Takeaways:
1. When to Hire an Outside Technology Leader
Consider external hires when scaling quickly, transforming, or addressing knowledge gaps.
2. Managing Internal Implications
Be transparent about the decision.
Communicate the value of new leadership to the team.
3. Handling Internal Friction
Acknowledge concerns from internal staff.
Build trust through consistent communication and team alignment.
4. Assessing Leadership Fit
Evaluate leadership style, technical expertise, and cultural alignment.
Focus on both business and technical problem-solving capabilities.
5. Career Growth and Long-Term Opportunities
Help team members see new leadership as a growth opportunity.
Encourage collaboration between new and existing leaders for a seamless transition.
Gain valuable insights on hiring external tech leaders and fostering leadership resilience. Don’t forget to like, subscribe, and share this episode with your network! 🚀
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In this episode, host Amir sits down with Amit Sahani, Global Head of Data at StoneX, to delve into data leadership's practical and strategic aspects. Amit shares invaluable insights on building robust data solutions, tackling data quality challenges, and fostering alignment between data engineering and business objectives.
Listeners will gain practical advice on the importance of data governance, leveraging technological advancements like cloud computing, and incorporating feedback loops to drive continuous improvement. This episode is a must-listen for anyone seeking to bridge the gap between data and business.
Highlights
00:56 – Grounded Leadership in Data
Amit shares his philosophy on leadership and its role in successfully implementing data-driven solutions.
02:30 – Challenges in Delivering Business Solutions
Insight into the common hurdles organizations face when aligning data initiatives with business needs.
04:57 – Garbage In, Garbage Out
A deep dive into the critical issue of data quality and its impact on achieving high-fidelity business delivery.
10:00 – Adoption and Feedback Loops
Why continuous feedback loops are essential for improving data solutions and driving adoption across teams.
13:35 – Investment in Data Quality and Governance
Exploring the importance of prioritizing data governance to create a strong foundation for successful data strategies.
22:15 – The Role of Technology in Data Solutions
How advancements like cloud computing are shaping the future of data engineering and management.
Key Takeaways
- Data Quality is Everything: Poor data leads to poor outcomes. Investing in data quality is a non-negotiable for success.
- Feedback Loops Drive Improvement: Continuous feedback ensures that data solutions remain relevant and effective.
- Governance is Critical: Establishing strong data governance practices enables scalability and compliance.
- Technology is an Enabler: Leveraging tools like cloud computing enhances efficiency and flexibility in data solutions.
- Alignment is Key: Successful data solutions bridge the gap between engineering capabilities and busi
Guest:
Amit Sahani is the Global Head of Data at StoneX, with nearly two decades of experience in business transformation, cloud adoption, and international expansion across the US, South America, EMEA, and India. At StoneX, he has built a global data team, launched an in-house data aggregator, and established a market data services group, positioning data as central to the company’s digital transformation. With expertise in regulated industries and global operations, Amit drives transformative change through empathy, strategic insight, and a sharp focus on business outcomes, effectively engaging stakeholders at all levels.
LinkedIn: https://www.linkedin.com/in/asahani/
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In this episode of The Tech Trek, host Amir sits down with Shawn Stewart, VP of Engineering at Apartment List, to unpack the complex dynamics between individual contributors (ICs) and managers. Shawn offers a deep dive into career progression, fostering growth, and building aligned high-performing teams.
This episode is packed with actionable insights for ICs and managers striving to improve their professional relationships, promote effectively, and maintain team cohesion.
Episode Highlights:
Understanding Manager-IC Dynamics (00:10) Shawn explains the nuances of the relationship between ICs and managers, highlighting mutual responsibilities for growth and success.
Career Progression and Managerial Roles (01:41) Managers play a crucial role in shaping the career paths of their team members. Shawn delves into how managers can act as career enablers, providing guidance, feedback, and opportunities.
Challenges in Manager-IC Relationships (03:59) Navigating conflicts, differing goals, and maintaining alignment between ICs and managers is key to a harmonious workplace.
Importance of Calibration and Objective Evaluations (10:45) Shawn emphasizes the need for managers to calibrate team performance and conduct objective evaluations to avoid bias and ensure fairness.
Promotion and Growth Strategies (16:52) Shawn shares strategies for promoting ICs effectively and highlights the importance of setting clear growth paths and expectations.
Actionable Advice for Managers and ICs (20:58) Practical tips for managers to build trust and lead with empathy, and for ICs to communicate effectively and take ownership of their growth.
Key Takeaways:
Manager-IC Relationships Are a Two-Way Street Both parties must invest in understanding, trust, and open communication to thrive.
Managers Are Career Enablers Their primary role is to align team goals with individual aspirations while providing mentorship and support.
Calibration Ensures Objectivity Regular alignment on evaluations helps maintain fairness and prevents biases in promotions and feedback.
Career Growth Requires Deliberate Effort Both ICs and managers must plan and execute career development strategies actively.
Tune in to hear Shawn’s expert insights and practical advice for navigating the challenges of the modern workplace. Don’t forget to like, subscribe, and share this episode with your network!
Shawn Stewart is a seasoned software engineer and entrepreneur with a track record of innovation and success. He began his career running his own software business and contributing to multiple startups with successful exits. As a software engineer at Sportline.com, later acquired by CBS to become CBSSports.com, Shawn earned over 15 software patents and contributed to major platforms like NFL.com, MLB.com, and the Emmy-winning March Madness on Demand. He has since led critical development initiatives at Fidelity Investments, LinkedIn, Ultimate Software, and Gusto. Currently, Shawn leads engineering at Apartment List, leveraging machine learning and generative AI to revolutionize the renter experience.
LinkedIn: https://www.linkedin.com/in/irietek/----
Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player.
Want to learn more about us? Head over at https://www.elevano.com
Have questions or want to cover specific topics with our future guests?
Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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In this episode of The Tech Trek, Amir Bormand is joined by Neil Bhandar, VP of IT Enterprise Data Analytics and Innovation at Generac Power Systems, to discuss the evolving role of data in business strategy and decision-making. Neil shares his insights on aligning technical capabilities with strategic goals, reducing the "cost of curiosity," and the transformative power of generative AI.
Key Discussion Points:
Aligning Business Strategy with Technical Capabilities:
Neil emphasizes ensuring technical capabilities align with business goals, enabling organizations to create meaningful value.The Role of Data in Decision-Making:
Data’s ability to maintain a balanced perspective is crucial for making informed, strategic business decisions, especially in dynamic environments.Generative AI and Business Transformation:
Neil explores how generative AI reshapes industries and why business leaders must develop a deeper understanding of its potential to stay competitive.Reducing the "Cost of Curiosity":
Learn how organizations can make exploring insights easier and more affordable, fostering innovation without escalating costs.Future of Data Technology
Neil discusses where data technology is headed, including its pivotal role in corporate strategy and innovation.Takeaways:
This episode offers actionable insights for data leaders and executives looking to:
Foster alignment between strategy and technology. Embrace AI as a competitive differentiator. Build data-driven cultures that empower informed decision-making. Drive innovation while managing operational costs effectively.Tune in to hear Neil's expert perspectives and practical advice for navigating the ever-evolving data and technology landscape.
Guest:
Neil Bhandar is the Vice President of IT Enterprise Data Analytics and Innovation at Generac Power Systems. With over two decades of experience in data analytics, business intelligence, and IT strategy, Neil specializes in transforming technical capabilities into strategic business outcomes. He has a proven track record of driving innovation, optimizing operational processes, and leading cross-functional teams to harness the power of data in decision-making. Neil is passionate about aligning technology with business goals to foster growth and efficiency, making him a respected leader in enterprise data analytics.
https://www.linkedin.com/in/NeilBhandar/
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Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player.
Want to learn more about us? Head over at https://www.elevano.com
Have questions or want to cover specific topics with our future guests?
Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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In this episode, Amir sits down with Jim Olsen, CTO of ModelOp, to explore the essential role of AI governance in today's organizations. Jim shares practical insights into managing foundational models, emphasizing their impact on regulatory compliance, business performance, and innovation.
The conversation delves into the distinct challenges of implementing AI solutions, how governance aligns AI with business objectives, and the critical role of regulations. Learn how to navigate this evolving field and position AI as a strategic enabler for your organization.
What you'll learn:
Understanding AI governance:
Why it’s critical for managing risks, ensuring compliance, and aligning AI with business goals.Building an AI model inventory:
The first step in AI governance—tracking and maintaining an inventory of all AI models to enable better control and oversight.Managing the lifecycle of AI models:
From design to retirement—how to ensure models stay effective, compliant, and valuable throughout their lifecycle.The business case for governance:
How strong governance practices support performance metrics, innovation, and long-term ROI.Highlights:
01:20 The unique challenges of implementing foundational AI models 04:07 Defining the framework for AI governance 07:09 Why governance is essential for risk management and compliance 14:14 Measuring the performance and ROI of AI solutions 19:19 Practical examples of AI governance in action 21:48 What the future holds for AI governanceThis episode is packed with actionable advice to help business leaders and technologists navigate the complexities of AI governance. Tune in to learn how to make AI work smarter for your organization.
Guest:
Jim Olsen is the Chief Technology Officer at ModelOp, where he leads the design and development of ModelOp Center, a cutting-edge product for AI Governance. With over 40 years of experience in software across a wide range of industries, Jim brings a wealth of expertise to his role. Currently, he works remotely from his off-grid cabin in Colorado, exemplifying his unique approach to innovation and technology leadership.
LinkedIn: https://www.linkedin.com/in/jimolsen/
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Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player.
Want to learn more about us? Head over at https://www.elevano.com
Have questions or want to cover specific topics with our future guests?
Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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In this episode of The Tech Trek, host Amir Bormand talks with Ken Kao, VP of Engineering at Rad AI, about the evolving role of engineers in driving business innovation. They explore how tech differentiation can give companies a competitive edge and how engineers can act as problem solvers and creative artists beyond just writing code.
Key Takeaways:
Tech Differentiation for Competitive Edge: Learn how technology-driven innovation can set companies apart.
Engineers as Artists and Problem Solvers: Engineers can move beyond code by creatively solving business problems.
Shifting Engineers Left: Involve engineers earlier in the business process to unlock more strategic value.
Business-Driven Tech Conversations: Bridge the gap between tech and business by fostering mutual understanding.
Future Engineering Skills: Develop critical thinking, business awareness, and adaptability to stay competitive in tech.
Episode Highlights:
01:40 - The Role of Engineering in Company Differentiation
02:42 - Real-World Examples of Tech Differentiation
06:50 - The Dynamic Nature of Tech-Driven Innovation
09:37 - Empowering Engineers for Business Impact
10:39 - Shifting Engineers Left in Business Discussions
11:47 - Competitive Edge Through Generative AI
12:47 - The Evolving Role of Software Engineers
13:19 - Engineers as Problem Solvers
14:38 - Engineers as Creative Artists Beyond Coding
16:54 - Bridging the Gap Between Tech and Business
17:43 - Future-Ready Skills for Engineers
20:40 - Automation and the Future of EngineeringListen now for expert advice on fostering tech innovation, empowering engineers, and driving business growth through strategic tech leadership!
Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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Guest: Jordan Kaye, Head of Technology at Belvedere Trading
Episode Summary:
In this episode, Jordan Kaye redefines technical debt through a practical lens, emphasizing the importance of conscious decision-making and its impact on engineering velocity, quality, and business outcomes. He explains how technical debt should be approached like financial debt—intentionally incurred with clear trade-offs. Jordan also shares strategies for balancing agility and long-term system stability, offering actionable advice for tech leaders and engineering teams navigating high-impact projects.Key Takeaways:
Redefining Tech Debt: Tech debt isn’t just “bad code” — it’s a conscious decision made to accelerate progress while accepting future challenges. Quantifying Debt: Use tools like issue boards to track, visualize, and manage tech debt over time. Business-Driven Engineering: Tech teams should align with business goals to ensure solutions drive meaningful outcomes. Balancing Quality and Speed: Prioritize flexibility over perfection, focusing on scalable and maintainable systems. Avoiding Premature Problem-Solving: Use "just-in-time scoping" to prevent wasted work and maintain agility.Episode Highlights:
01:00 - Redefining Tech Debt as a Conscious Decision
03:45 - How to Quantify and Manage Tech Debt
07:10 - Business Context and Engineering Trade-Offs
10:50 - When Legacy Code Is Not a Problem
13:15 - Organizational Buy-In for System Maintenance
16:50 - Quality vs. Velocity: Finding the Right Balance
18:30 - Building Agile and Flexible Engineering Systems
22:00 - Avoiding Premature Problem-Solving through Just-in-Time ScopingConnect with Jordan Kaye:
LinkedIn: Jordan Kaye on LinkedIn Personal Website: jordankaye.devListen, learn, and redefine how your engineering team approaches tech debt! Share this episode with tech leaders and developers ready to rethink their approach. 🚀
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Episode Overview:
In this episode, Amir Bormand sits down with Amnon Mishor, CTO of Gynger, to discuss startup resilience, founder mindset, and navigating tough economic times. Drawing from his experience building multiple startups during challenging market conditions, Amnon shares actionable insights on responsible growth, managing existential risks, and staying focused on core business goals.
Key Takeaways:
1. Redefining Resilience in Startups
Resilience isn’t about merely surviving tough times; it’s about positioning the company for long-term success.
The most successful companies have faced existential crises but persevered by adapting.
2. Founders’ Mindset During Tough Times
Founders must focus on what they can control, ignoring unpredictable macroeconomic shifts.
Avoid betting on the market or altering the company’s mission based on fleeting economic trends.
3. Responsible Growth vs. Rapid Expansion
Growth must be deliberate and grounded in clear, data-driven metrics.
Avoid hiring too quickly or building unnecessary features based on external pressures.
Always evaluate ROI on new product features and hiring decisions.
4. Navigating Investor Challenges
Finding the right investors who align with long-term goals is critical, even when funding is scarce.
Be ready to walk away from unfavorable deals to maintain strategic focus.
5. Managing Risks and Staying Focused
Founders often face the temptation to diversify products prematurely, risking dilution of the company’s core mission.
Focus on the startup’s superpower, avoiding the pitfalls of overextension.
Episode Highlights:
01:12 What Gynger Does: Embedded Financing for Tech Purchases
03:00 Defining Resilience Beyond Just Survival
04:23 Challenges of Building Startups During Market Downturns
06:38 Importance of Finding the Right Investors
10:45 Balancing Responsible Growth with Market Pressures
14:28 Avoiding the Trap of Overexpansion and Product Dilution
18:33 Why Startups Need to Stay Lean and Focused
20:29 Defining Responsible Growth in Practical Terms
25:55 Core Lessons from Founding Two Startups
Final Thoughts:
Amnon emphasizes that while founders can’t control market dynamics, they can build resilient companies through strategic decision-making, responsible growth, and unwavering focus. His experience in building startups during difficult economic periods offers valuable lessons for founders, investors, and tech leaders alike.
Connect with Amnon:
LinkedIn: https://www.linkedin.com/in/amnonmishor/
Email: [email protected]
Subscribe & Share:
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Join us for a deep dive into career progression in tech with Anant Gupta, SVP of Engineering and Data Science at Included Health. This episode explores the skills, decisions, and reflections that shape a fulfilling career in technology.
Anant shares lessons from his journey through senior engineering roles and leadership positions at companies like LinkedIn and Uber, offering practical advice on balancing technical mastery with leadership ambitions. Whether you're navigating transitions or striving for career happiness, this conversation provides actionable insights for every tech professional.
Episode Highlights
The Chef Analogy for Career Growth (02:33) Anant explains how career progression is like becoming a great chef—mastery comes from honing your craft, not just moving up the ladder.
Skills Beyond Engineering (03:45) Essential skills such as coaching, mentoring, and communication are crucial for leaders, extending beyond technical expertise.
Transitioning to Leadership Roles (05:22) Discover the nuances of moving from IC to management and the importance of helping teams succeed.
Finding Fulfillment (15:49) Insights on finding joy in your chosen career path and focusing on impact over titles.
Key Takeaways
Hone Your Craft: Focus on building deep expertise in your area, whether technical or managerial. Excellence is the foundation for growth.
Leadership Is About Others: Effective leaders focus on enabling their teams, creating a shared vision, and coaching for success.
Pursue Skills, Not Titles: Career happiness often comes from skill mastery and meaningful work, rather than chasing hierarchical promotions.
Reflect Often: Regularly assess where you find joy and impact, ensuring your career aligns with your values and goals.
Guest:
Anant Gupta is the SVP of Engineering and Data Science at Included Health, leading technology initiatives to redefine healthcare. Anant believes in the transformative power of technology to fundamentally alter how we live and interact with the world around us. He oversees initiatives that harness AI, comprehensive data platforms, and consumer technology to make healthcare more predictive, personalized, and accessible—aligning with the company's vision of personalized, all-in-one healthcare.Before joining Included Health, Anant held significant roles at pre-IPO giants such as Uber and LinkedIn, managing large, multidisciplinary teams. His leadership is characterized by a commitment to leveraging technology for impactful solutions and a dedication to team development. By fostering a culture of collaboration and excellence, Anant consistently drives substantial innovations, reinforcing his commitment to transforming how we experience and benefit from advanced technology.
LinkedIn: https://www.linkedin.com/in/anantgupta1/
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Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)
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In this episode of The Tech Trek, host Amir Bormand sits down with Ron Williams, founder and CEO of Kindle, to explore the evolving world of AI models and their business implications. The conversation dives into how companies can securely leverage AI, the emerging risks tied to AI adoption, and the shift from cloud-centric models to AI-driven infrastructures. Ron shares valuable insights on managing these challenges while maximizing the potential of generative AI.
Key Takeaways:
AI as a "Smart Intern":
AI models are more than tools—they’re like smart interns who learn, adapt, and act on data.
Companies must be cautious about the risks of exposing data and intellectual property to AI systems.
Data Security in the AI Era:
AI presents risks beyond traditional data breaches as it learns and retains insights from sensitive information.
Organizations must rethink their security policies to address these new vulnerabilities.
The Future of SaaS and AI:
AI is reshaping software workflows, potentially reducing reliance on traditional SaaS platforms.
Companies must prepare for a shift toward personalized AI models that improve operational efficiency.
Ownership of AI Models:
Businesses need to invest in their own AI models rather than relying solely on third-party solutions.
Owning AI models ensures control over future capabilities and reduces dependency risks.
Highlights:
[00:00] Introduction Amir introduces Ron Williams and the focus of the episode: navigating AI and business security.
[01:00] What Kindle Does Ron explains Kindle’s role in AI orchestration and how it helps businesses manage AI capabilities securely.
[03:00] Comparing Cloud and AI Risks Discussion on how AI risks differ from traditional cloud data risks and the importance of understanding these nuances.
[06:00] AI and Competitive Risk Insights into how large companies and startups are navigating AI’s impact on competition and innovation.
[09:00] AI Models in the WorkplaceHow companies are deploying AI models to augment and, in some cases, replace traditional roles like customer service.
[12:00] Apple’s On-Device AI and Future TrendsThe benefits of localized AI models, such as privacy and operational independence, as exemplified by Apple’s approach.
[18:00] The Importance of Custom AI ModelsWhy building proprietary AI models is crucial for maintaining competitive advantage in the future.
[24:00] Closing ThoughtsRon emphasizes the significance of AI in shaping the future of business and offers actionable advice for leaders.
Call to Action:
Share this episode with tech leaders who are navigating the complexities of AI adoption. Remember to subscribe and leave feedback on what topics you'd like us to cover next!
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In this episode, Amir Bormand speaks with John Coles, VP of Data Science and Analytics at ACV Auctions. They dive into what it means to lead with a data-first mindset, empower engineering teams, and foster a culture of innovation through hackathons. John shares insights on balancing profitability, ROI, and innovation while addressing the critical role of context and flexibility for team success.
Key Takeaways
Data-First Culture: Building with data in mind from the start enables both immediate and future business opportunities.
Empowering Engineers: Providing context and flexibility allows engineers to innovate and adapt to rapidly evolving technologies.
Hackathons as Innovation Drivers: Structured and collaborative hackathons foster creativity, experimentation, and peer recognition.
ROI-Driven Decision Making: Embedding analytics within teams ensures alignment between business goals and engineering efforts.
Highlights
[00:01:00] - Introduction to ACV Auctions and its data-first approach to the automotive wholesale market.[00:04:00] - How providing context and flexibility fosters innovative solutions in engineering teams.
[00:07:00] - The role of hackathons in driving innovation and their integration into ACV's product roadmap.[00:08:00] - Importance of peer-driven recognition in hackathons to elevate impactful ideas.
[00:14:00] - Balancing innovation with business priorities: How ACV manages hackathon outputs and roadmaps.[00:17:00] - The role of upskilling and team enablement to turn hackathon ideas into actionable products.[00:20:00] - Examples of hackathon projects that have transformed into production solutions at ACV Auctions.[00:23:00] - The importance of embedding analytics into teams to measure ROI and drive insights.
Episode Quote
"Insight without delivery doesn’t result in value in a business. It’s interesting, but it doesn’t move you forward." — John Coles
This episode offers invaluable insights for tech leaders looking to balance innovation and business outcomes while empowering their teams to lead from any position within the company.
Guest:
John Coles, Ph.D. is the Vice President of Data Science and Analytics at ACV, where he leads data infrastructure, machine learning and data analytics strategy. Prior to joining ACV, Dr. Coles held many leadership roles, including Chief Technology Officer and Chief Product Officer of Bronze Trident Inc., a startup in Buffalo, New York, where he designed the business model and product plan for an automated tax challenge software.Dr. Coles was recently recognized as an Auto Remarketing ‘40 Under 40’ Honoree (2021) and was awarded the Koopman Prize from the Military Appreciations Society of the Institute for Operations Research and the Management Sciences (INFORMS)—among other accolades. He holds a Bachelor of Science from the University at Buffalo, a Master of Engineering from Texas A&M University, and a Ph.D. in Operations Research from the University at Buffalo.
LinkedIn: https://www.linkedin.com/in/john-coles-28311015/
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In this insightful episode, Amir Bormand interviews Anil Choudary, CTO at Alliant Credit Union, about bridging the gap between technology and business priorities. The conversation covers managing tech debt effectively, engaging with business leaders, and fostering a culture of collaboration. Anil shares strategies for empowering engineers, using hackathons to foster innovation, and building a shared understanding between business and technology teams.
Key Takeaways:
Bridging the Gap: Understand and translate business priorities into technology initiatives to align goals effectively.
Tech Debt Management: Position tech debt as a shared enterprise issue, not just a technical challenge.
Empowering Engineers: Leverage initiatives like hackathons to surface bottom-up innovations and bridge the gap between business and technology.
Culture of Collaboration: Establishing a culture of mutual understanding and collaboration is key to successful technology implementation.
Emerging Technologies: Carefully evaluate the value and feasibility of emerging technologies like GenAI to ensure alignment with organizational needs.
Highlighted Timestamps:
[00:00] Introduction to Anil Choudary and the topic of technology-business alignment.
[02:00] Understanding and translating business priorities into technology initiatives.
[05:00] Tech debt: A shared challenge and how to communicate it to business stakeholders.
[09:00] Evaluating the feasibility of emerging technologies like GenAI for practical use cases.
[13:00] Using hackathons to empower engineers and foster innovation within the organization.
[18:00] Lessons from leading tech companies: Applying product-centric thinking to mainstream organizations.
[24:00] Creating production-ready AI solutions and addressing the hype versus reality of emerging technologies.
Memorable Quote: "Tech debt isn't just a technology problem—it's an enterprise problem. It's about understanding how our decisions over time shape the organization's ability to innovate." – Anil Choudary
This episode offers a practical guide for technology and business leaders to align their strategies, foster collaboration, and embrace innovation while managing the complexities of tech debt and cultural transformation.
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Anu Choudary is a seasoned technology leader with extensive experience in driving digital transformation and strategic business initiatives. With a background in both technical and managerial roles, she excels at bridging the gap between business objectives and technological innovation. Anu has led high-impact projects in cloud computing, enterprise architecture, and software development, demonstrating a keen ability to align IT solutions with organizational goals. Known for her collaborative approach, she fosters cross-functional solid relationships and emphasizes the importance of mentorship and team development. Her expertise positions her as a valuable asset in leading technology-driven growth and change within organizations.
LinkedIn: https://www.linkedin.com/in/achoudary/
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In this episode of The Tech Trek, host Amir Bormand chats with Dana Lawson, CTO at Netlify, about the complexities and nuances of stepping into a CTO role. They dive deep into the challenges of leadership, career progression, and aligning technical and business objectives. Dana shares her journey from a director role to CTO, emphasizing the importance of self-awareness, adaptability, and building relationships within and beyond the organization.
Key Takeaways:
Rethinking Career Success: Success in technology isn’t about chasing titles; it’s about finding fulfilling roles that align with personal and organizational goals.
Balancing Business and Technology: As you move up the ladder, the focus shifts from technical execution to strategic alignment with business goals.
The Power of Vulnerability: Embracing vulnerability and asking for help fosters growth, collaboration, and team trust.
Building Strong Relationships: Strong partnerships across teams, especially with finance and sales, are critical for CTO-level success.
Episode Highlights:
[00:00] Introduction
Dana shares her role at Netlify and the platform’s mission to streamline web development for engineers.
[01:00] Is the CTO Role the Pinnacle of Success?
Dana discusses societal pressures to climb the career ladder and why the CTO title isn’t the ultimate measure of success.
[04:00] The Role of Directors in Organizations
The unique impact and gratification that come with the director role versus higher executive positions.
[07:00] Transitioning to the CTO Role
Key skills Dana developed during her career that became critical as a CTO, including business acumen and data-driven decision-making.
[11:00] Balancing Strategy and Execution
How Dana balances being a strategic leader while staying connected to the technology and product teams.
[13:00] Vulnerability in Leadership
Why it’s essential to ask for help and leverage networks to overcome challenges in leadership roles.
[17:00] Bridging Gaps with Business Teams
Building trust and learning the language of finance and sales teams to align technical goals with business outcomes.
[20:00] Advice for Aspiring CTOs
Dana shares advice for senior engineers and directors looking to transition into executive leadership.
Listen to Learn:
How to navigate career progression in tech without succumbing to societal pressures.
Why understanding the workflows of non-technical teams is crucial for senior leaders.
How vulnerability and openness can enhance your effectiveness as a leader.
This episode offers invaluable insights for aspiring tech leaders or anyone looking to understand the dynamics of transitioning to executive roles. Dana’s experience and candid reflections provide a roadmap for navigating challenges and fostering meaningful impact in the tech space. Don't miss out!
- Visa fler
