<![CDATA[One Version of the Truth]]>One Version of the Truth is an executive interview series about how innovation and growth actually happen. After more than a decade working in data, I’ve heard the phrase “one version of the truth” repeated inside countless organizations. In practice, it is rarely that simple. Best practices alone do not drive transformation. What moves companies forward are leaders who make judgment calls, weigh trade-offs, and commit to a version of reality they are willing to act on, even when it is incomplete or contested.

Season one focuses on data, analytics, and AI as levers for business change, with future seasons expanding into leadership, entrepreneurship, and growth.

]]>https://xenodata.comRiverside.fm (https://riverside.com)Thu, 28 May 2026 06:52:03 GMTThu, 15 Jan 2026 15:02:52 GMT60Taylor Culver<p><i>One Version of the Truth</i> is an executive interview series about how innovation and growth actually happen. After more than a decade working in data, I’ve heard the phrase “one version of the truth” repeated inside countless organizations. In practice, it is rarely that simple. Best practices alone do not drive transformation. What moves companies forward are leaders who make judgment calls, weigh trade-offs, and commit to a version of reality they are willing to act on, even when it is incomplete or contested.</p><p></p><p>Season one focuses on data, analytics, and AI as levers for business change, with future seasons expanding into leadership, entrepreneurship, and growth.</p>episodicTaylor Culvertaylor@xenodata.comno<![CDATA[Delivering When the Supply Chain Stops and the Data Says No with Chris Brozek]]>In this episode, Taylor Culver sits down with Chris Brozek, a six-time VP of operations in manufacturing, to explore the challenges of data interpretation and decision-making in manufacturing operations. They discuss the role of data in operations, the limitations of dashboards, and the importance of people in driving operational outcomes. The conversation covers a wide range of topics related to data, AI, digital transformation, and the impact on manufacturing and supply chain. It delves into the use of AI in operational decision-making, the role of data professionals in enterprise planning, and the potential of AI in transforming physical goods production. The discussion also explores the challenges and opportunities in the adoption of AI and digital technologies in manufacturing and supply chain management.

Takeaways

  • Data interpretation drives operational performance
  • Dashboards are limited in driving business decisions AI's potential to transform operational decision-making
  • The impact of AI and digital technologies on manufacturing and supply chain management

Chapters

  • 00:00 Introduction to Manufacturing in Silicon Valley
  • 05:08 The Reality of Manufacturing Operations
  • 11:55 The Future of Data in Manufacturing
  • 19:47 The Role of Dashboards in Decision-Making
  • 25:17 Data Professionals and Enterprise Planning
  • 37:08 AI's Impact on Manufacturing and Supply Chain
]]>d03d499e-28ce-4f53-8df3-61ff1e76d702Mon, 23 Mar 2026 12:00:00 GMT<p>In this episode, Taylor Culver sits down with Chris Brozek, a six-time VP of operations in manufacturing, to explore the challenges of data interpretation and decision-making in manufacturing operations. They discuss the role of data in operations, the limitations of dashboards, and the importance of people in driving operational outcomes. The conversation covers a wide range of topics related to data, AI, digital transformation, and the impact on manufacturing and supply chain. It delves into the use of AI in operational decision-making, the role of data professionals in enterprise planning, and the potential of AI in transforming physical goods production. The discussion also explores the challenges and opportunities in the adoption of AI and digital technologies in manufacturing and supply chain management.</p><p></p><p>Takeaways</p><ul><li>Data interpretation drives operational performance</li><li>Dashboards are limited in driving business decisions AI's potential to transform operational decision-making</li><li>The impact of AI and digital technologies on manufacturing and supply chain management</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to Manufacturing in Silicon Valley</li><li>05:08 The Reality of Manufacturing Operations</li><li>11:55 The Future of Data in Manufacturing</li><li>19:47 The Role of Dashboards in Decision-Making</li><li>25:17 Data Professionals and Enterprise Planning</li><li>37:08 AI's Impact on Manufacturing and Supply Chain</li></ul>no00:48:2015Delivering When the Supply Chain Stops and the Data Says No with Chris Brozekfull<![CDATA[From $0 to $100M: What Breaks (and Scales) in Data-Driven SaaS Sales with Tim O'Neil]]>The conversation with Tim O'Neil delves into the challenges and opportunities in scaling revenue, aligning data to business outcomes, and the impact of AI on sales organizations. Tim shares insights on the evolution of sales leadership, the role of data in sales, and the importance of curiosity in driving growth. He also discusses the impact of AI on sales efficiency and the need for a balance between human expertise and AI capabilities.

Takeaways

  • Sales leadership must become operational and data-driven to drive growth and align data to business outcomes.
  • Curiosity, not automation, is the real competitive advantage in sales.
  • AI creates efficiencies in business operations but does not replace the need for human expertise and problem-solving.
  • The adoption of AI in sales organizations requires a shift in the profile and role of sales professionals.

Chapters

  • 00:00 Introduction to the Show and Guest Introduction
  • 06:31 Metrics and Data-Driven Leadership in Sales Organizations
  • 35:16 The Impact of AI on Growth and Scaling from a Million to $100 Million in Revenue
]]>00576eb9-6672-40f6-9152-8cfa0d82dca4Mon, 16 Mar 2026 12:00:00 GMT<p>The conversation with Tim O'Neil delves into the challenges and opportunities in scaling revenue, aligning data to business outcomes, and the impact of AI on sales organizations. Tim shares insights on the evolution of sales leadership, the role of data in sales, and the importance of curiosity in driving growth. He also discusses the impact of AI on sales efficiency and the need for a balance between human expertise and AI capabilities.</p><p></p><p>Takeaways</p><ul><li>Sales leadership must become operational and data-driven to drive growth and align data to business outcomes.</li><li>Curiosity, not automation, is the real competitive advantage in sales.</li><li>AI creates efficiencies in business operations but does not replace the need for human expertise and problem-solving.</li><li>The adoption of AI in sales organizations requires a shift in the profile and role of sales professionals.</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to the Show and Guest Introduction</li><li>06:31 Metrics and Data-Driven Leadership in Sales Organizations</li><li>35:16 The Impact of AI on Growth and Scaling from a Million to $100 Million in Revenue</li></ul>no00:39:4314From $0 to $100M: What Breaks (and Scales) in Data-Driven SaaS Sales with Tim O'Neilfull<![CDATA[How CEO's Use Data When the Answer Isn't Clear with Clare Hart]]>Clare Hart, a four-time CEO, shares insights on the role of data in tech-enabled services businesses, the use of data as a catalyst for change, and the importance of predictive analytics. She discusses her journey from technology to sales to CEO, the challenges of using data to align teams, and the principles for strong data leadership. Additionally, she provides valuable perspectives on overcoming data challenges, gaining executive buy-in, and the value of AI in organizations.

Takeaways

  • Data as a Catalyst
  • Predictive Analytics

Chapters

  • 00:00 The Role of Data in Predicting the Future
]]>6089c408-bee5-484c-99ae-4e3172225993Mon, 09 Mar 2026 13:30:24 GMT<p>Clare Hart, a four-time CEO, shares insights on the role of data in tech-enabled services businesses, the use of data as a catalyst for change, and the importance of predictive analytics. She discusses her journey from technology to sales to CEO, the challenges of using data to align teams, and the principles for strong data leadership. Additionally, she provides valuable perspectives on overcoming data challenges, gaining executive buy-in, and the value of AI in organizations.</p><p></p><p>Takeaways</p><ul><li>Data as a Catalyst</li><li>Predictive Analytics</li></ul><p></p><p>Chapters</p><ul><li>00:00 The Role of Data in Predicting the Future</li></ul>no00:36:3013How CEO's Use Data When the Answer Isn't Clear with Clare Hartfull<![CDATA[Beating the Market: Turning Data Into Signal with Ajit Agrawal]]>The conversation delves into the world of data and AI in financial services, exploring the utilization, valuation, and licensing of data to financial institutions. It also discusses the impact of AI on data licensing and the future of data in financial markets. The conversation highlights the value of data as a signal and the market size of data licensing in financial services.

Takeaways

  • Data as Signal
  • Value of Data Licensing

Chapters

  • 00:00 Introduction to Data and AI in Financial Services
  • 05:51 Licensing Data to Financial Institutions
  • 12:12 Data Value and Market Size
  • 17:49 Data Decay and Market Efficiency
  • 23:51 Evaluation and Utilization of Data Sets
]]>06829346-26b3-40c4-b8d4-f1b32ae7ea9eMon, 02 Mar 2026 20:40:09 GMT<p>The conversation delves into the world of data and AI in financial services, exploring the utilization, valuation, and licensing of data to financial institutions. It also discusses the impact of AI on data licensing and the future of data in financial markets. The conversation highlights the value of data as a signal and the market size of data licensing in financial services.</p><p></p><p>Takeaways</p><ul><li>Data as Signal</li><li>Value of Data Licensing</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to Data and AI in Financial Services</li><li>05:51 Licensing Data to Financial Institutions</li><li>12:12 Data Value and Market Size</li><li>17:49 Data Decay and Market Efficiency</li><li>23:51 Evaluation and Utilization of Data Sets</li></ul>no00:30:5112Beating the Market: Turning Data Into Signal with Ajit Agrawalfull<![CDATA[Unlocking Value in M&A with Data Insights with Sri Malladi]]>The conversation delves into the role of data and analytics in M&A advisory, the impact of data and AI on enterprise value, challenges in translating data and AI investments to outcomes, and the role of data leaders in understanding the business and gaining buy-in from stakeholders. It also explores the impact of AI on organizations and the adoption of AI by data leaders.

Takeaways

  • Data and AI play a crucial role in M&A advisory and enterprise value.
  • Building trust and understanding business problems are essential for data leaders.
  • AI is transforming organizations, but expectations may be ahead of reality.

Chapters

  • 00:00 Introduction to M&A Advisory
  • 07:13 Distinguishing Data and AI Initiatives
  • 16:06 Understanding the Business as a Data Leader
  • 24:01 Building Trust and Understanding Business Problems
  • 31:52 Data Leaders and AI Adoption
]]>4e8cde1c-9109-4970-9efd-3566cda43cb0Wed, 25 Feb 2026 15:53:00 GMT<p>The conversation delves into the role of data and analytics in M&amp;A advisory, the impact of data and AI on enterprise value, challenges in translating data and AI investments to outcomes, and the role of data leaders in understanding the business and gaining buy-in from stakeholders. It also explores the impact of AI on organizations and the adoption of AI by data leaders.</p><p></p><p>Takeaways</p><ul><li>Data and AI play a crucial role in M&amp;A advisory and enterprise value.</li><li>Building trust and understanding business problems are essential for data leaders.</li><li>AI is transforming organizations, but expectations may be ahead of reality.</li></ul><p></p><p>Chapters</p><ul><li>00:00 Introduction to M&amp;A Advisory</li><li>07:13 Distinguishing Data and AI Initiatives</li><li>16:06 Understanding the Business as a Data Leader</li><li>24:01 Building Trust and Understanding Business Problems</li><li>31:52 Data Leaders and AI Adoption</li></ul>no00:35:2411Unlocking Value in M&A with Data Insights with Sri Malladifull