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    <title><![CDATA[AI or Die]]></title>
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    <description><![CDATA[<p><strong>AI or Die</strong> is the podcast where we hang out and talk about <strong>trends, news, and the great debate of AI.</strong> In each episode, hosts (and friends) Rehgan, Nick, and Brendan discuss topics and news in the data &amp; AI space.</p><p>Currently, they work together at AlignAI, a tech start-up based in Columbus, Ohio.</p>]]></description>
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      <title><![CDATA[The Future of AI Governance with Cleveland Clinic’s Jenny Owens]]></title>
      <itunes:title><![CDATA[The Future of AI Governance with Cleveland Clinic’s Jenny Owens]]></itunes:title>
      <description><![CDATA[<p>In Episode 27, the AI or Die crew is back.</p><p>The team is joined by special guest <strong>Jenny Owens</strong>, <strong>Senior AI Program Administrator at Cleveland Clinic and Chair of the HIMSS Northern Ohio AI Center of Excellence Committee</strong>. Jenny brings a rare, inside look at how a major health system evaluates, validates, and governs AI — from the human realities of working with LLMs to running a full AI scribe evaluation that began with 126 vendors. Her perspective offers one of the most practical views of modern AI governance you’ll find.</p><p><strong>Show Notes</strong></p><p><strong>0:00 – Welcome Back</strong> Rehgan returns from maternity leave; team catches up on Halloween abroad, newborn sleep, LA travel, and what changed (and didn’t) in AI during two months away.</p><p><strong>4:30 – Industry News</strong> – OpenAI’s IPO ambitions – NVIDIA &amp; Palantir partnership momentum – California’s proposed ban on AI posing as licensed health pros – Ohio’s proposal to outlaw AI “marriages” – Public anxiety around therapy bots, critical thinking, and “AI psychosis” </p><p><strong>13:20 – AI in Medicine</strong> Parenting + AI tools; physician reactions to AI-influenced patient questions; why clinicians (not laypeople) are best positioned to validate AI outputs.</p><p><strong>18:45 – Enterprise AI Shifts</strong> AI flattening org charts, reducing communication bottlenecks, driving efficiency trends (including Amazon layoffs), and reshaping cross-team workflows.</p><p><strong>22:30 – Guest Joins: Jenny Owens</strong> Jenny’s roles at Cleveland Clinic and HIMSS; host of the Health Data Ethics podcast.</p><p><strong>23:00 – Governance + Enablement</strong> Her dual remit across governance and AI literacy reduces friction and creates holistic oversight. She describes governance mindsets (“Sam the Eagle”: risk &amp; rules) vs. innovation mindsets (“Doc Brown”: speed &amp; experimentation) — and how her job is to align both.</p><p><strong>28:30 – Cleveland Clinic’s Governance Structure</strong> A multidisciplinary council including clinicians, cybersecurity, legal/compliance, data science, and bioethics. Reviews cover model performance, contextual risk, intended use, human interpretation, workflow impact, and ethics. Research AI is evaluated separately but reviewed early if headed toward clinical use.</p><p><strong>34:00 – Culture &amp; Values</strong> Governance mirrors Cleveland Clinic’s culture of curiosity, teaching, and patient-first thinking. Teams zoom out to philosophical questions: What does accuracy mean for LLMs? What hallucination tolerance is acceptable? How should non-determinism be handled? Decisions stay contextual and case-specific.</p><p><strong>41:00 – Governance’s Core Challenge</strong> AI governance must evaluate both the model <em>and</em> the human using it. Few orgs have mature systems to monitor model performance alongside human actions. Governance is shifting from model-centric to workflow-centric.</p><p><strong>44:20 – “AI Candyland”</strong> Jenny’s vision: a guided, gamified pathway for employees exploring AI ideas — with defined starting points, bumpers, fast tracks, and off-ramps. Designed to empower clinicians while keeping systems safe.</p><p><strong>47:30 – The 126-Vendor AI Scribe Evaluation</strong> Cleveland Clinic began with 126 vendors, narrowed to 5, and ran a full evaluation planned for 6 months that ultimately took 12. Metrics included statistical performance, workflow fit, burnout impact, billing/coding reliability, draft quality, edit burden, and discrepancies between perceived vs. actual time saved. </p><p><strong>54:00 – Why AI Projects Fail</strong> Common patterns: vague requirements, no baselines, poor change management, overhyped promises, lack of co-design, and leadership mandates without clarity.</p><p><strong>56:00 – Wrap-Up</strong> Connect with Jenny on LinkedIn and via the Health Data Ethics podcast. The team signs off before a short holiday break.</p>]]></description>
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      <title><![CDATA[Scaling Enterprise AI: From Governance to Gene Therapy]]></title>
      <itunes:title><![CDATA[Scaling Enterprise AI: From Governance to Gene Therapy]]></itunes:title>
      <description><![CDATA[<p>In this episode of <em>AI or Die</em>, hosts Nick Woo and Brendan Kelly dive into the busy fall conference season and the AI patterns they’re seeing across enterprises. </p><p><strong>What We Cover</strong></p><ul><li><strong>Conference Insights</strong> – Highlights from recent events like <strong>Ohio VC Fest</strong> and what’s ahead at <strong>Data Connect</strong>.</li><li><strong>Enterprise AI Trends</strong> – Common challenges organizations face in improving the <strong>throughput</strong> of AI solutions and reinventing governance.</li><li><strong>Case Study Spotlight</strong> – A look at <em>AI Meets Gene Therapy</em>, a feature collaboration with <strong>Andelyn Biosciences</strong>, exploring how AI is shaping the future of healthcare.</li><li><strong>Community &amp; Connections</strong> – Why the fall season is packed with opportunities to meet partners, customers, and innovators across the AI ecosystem.</li></ul><p><strong>Why Listen</strong></p><p>If you’re an AI leader, builder, or curious observer, this episode gives you a front-row seat to the conversations shaping enterprise adoption. Expect practical insights, emerging trends, and a touch of the personal that keeps the <em>AI or Die</em> community grounded and connected.</p>]]></description>
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      <title><![CDATA[How Agentic AI is Reshaping the Enterprise]]></title>
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      <description><![CDATA[<p>This week, our hosts welcome Ben Blanquera, VP of Technology and Sustainability at Rackspace Technology. Ben helps firms drive sustainable practices and accelerate their hybrid cloud and AI journey.</p><p>During this episode, we dive into Ben’s expertise as he shares valuable insights around agentic AI within the enterprise. We discuss recent trends, common blockers, and how to successfully drive adoption. We also highlight the guardrails needed for autonomous agents in high-stake environments, and how enterprise leaders can start their AI agent journey. </p><p></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/benblanquera/">Ben Blanquera's Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://fair.rackspace.com/">FAIR Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://fair.rackspace.com/ai-diagnostic/">Agentic AI Readiness Diagnostic</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://a16z.com/ai-enterprise-2025/">How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Audience Q&A: Ethical Enterprise AI]]></title>
      <itunes:title><![CDATA[Audience Q&A: Ethical Enterprise AI]]></itunes:title>
      <description><![CDATA[<p>On this episode, our hosts Nick Woo, Rehgan Bleile, and Brendan Kelly return for another audience Q&amp;A episode, providing insight into the ethical implementation of AI systems within the enterprise.</p><p>The team dives into how to responsibly enhance model performance and evaluate the ROI from generative AI. We also discuss and address questions around automation inside the enterprise. Additionally, we focus on recent AI developments and how these may shape current and future conversations between leaders and their teams.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Operational AI in Biotech: Lessons from the Lab]]></title>
      <itunes:title><![CDATA[Operational AI in Biotech: Lessons from the Lab]]></itunes:title>
      <description><![CDATA[<p>On this episode, we welcome Scott Brown, an architect at Andelyn Biosciences. Scott has a focus on data flow enablement, operational excellence and innovation to serve analytics and AI.</p><p></p><p>We discuss the critical importance of human-in-the-loop oversight, the evolving role of evaluation frameworks for AI outputs, and the broader shift toward hybrid AI systems that blend generative and traditional machine learning techniques. From building early, low-risk use cases to preparing for more advanced agentic AI applications, we highlight actionable strategies for responsibly scaling AI across industries.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/scottabrown/">Scott Brown</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[The New Playbook: AI and Workforce Readiness]]></title>
      <itunes:title><![CDATA[The New Playbook: AI and Workforce Readiness]]></itunes:title>
      <description><![CDATA[<p>On this episode, we welcome Nan Li, an experienced AI and machine learning leader at Nationwide. Nan shares her insights from years of enabling AI and machine learning adoption within large enterprises, with a focus on workforce readiness, human-AI interaction, and operating model design. </p><p>We explore how enterprises are evolving to support AI adoption beyond technical teams, highlighting the shift from centralized innovation to more distributed, domain-embedded use. Additionally, we examine the emerging personas within an AI-enabled workforce—builders, users, and protectors—and the cultural and structural changes required to empower each group. From democratizing low-risk use cases to managing risk in high-impact workflows, we offer a practical look at how organizations can build an AI-ready workforce in a responsible, scalable way.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/nanalytics/">Nan Li’s Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[The Next AI Era: Agents & Adoption]]></title>
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      <description><![CDATA[<p>In this episode, we welcome Mike Alvarez, Chief Technology Officer at NeuZeit, a consulting firm specializing in value acceleration, particularly for AI initiatives. Mike shares insights on agentic architectures, their role in automating complex workflows, the evolving landscape of AI governance, and how businesses can balance innovation with structured AI adoption.</p><p>We explore the challenges and opportunities in AI value acceleration, discussing how enterprises can move beyond experimentation to real, operationalized impact. We also examine key trends shaping AI in 2025, from advancements in AI-driven automation to the growing need for human-centered governance frameworks.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/2mikealvarez/">Mike Alvarez Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Enterprise AI is Evolving: Key Takeaways]]></title>
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      <description><![CDATA[<p>This week, our hosts Nick Woo, Rehgan Bleile, and Brendan Kelly celebrate their 20th episode with a reflection on AI advancements in 2024 and predictions for 2025.</p><p>In this episode, the team dives into the diverse maturity levels of enterprise AI adoption, from early experimentation to large-scale deployment, the role of executive buy-in, and collaboration between business and technical teams. They highlight the rise of AI agents, growing reliance on data quality, and the shift toward optimization and governance as enterprises consolidate tools and processes. Looking ahead, they predict faster deployment cycles, deeper integration of AI into workflows, and a focus on user-centered design.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Governing AI: Ethics & Impact in Healthcare]]></title>
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      <description><![CDATA[<p>On this episode, we welcome Bhavna Mehta, Assistant Vice President of Data and Analytics at Cincinnati Children’s Hospital Medical Center. Bhavna leads initiatives in data governance, AI governance, analytics, and business intelligence, leveraging her technical expertise and strategic insight to bridge the gap between innovation and practical implementation in healthcare.</p><p>We explore the critical role of AI ethics and governance in healthcare, focusing on explainability, trustworthiness, and alignment with organizational values. Additionally, we discuss how fostering a culture of data-driven innovation empowers organizations to adopt AI responsibly and effectively. Finally, we examine the transformative potential of AI when strategically aligned with priorities like improving patient care, reducing clinician burnout, and accelerating research impact.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/bhavna-mehta-100734/">Bhavna Mehta</a> </p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Finding Truth in AI Generated Content]]></title>
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      <title><![CDATA[Managing an AI Workforce]]></title>
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      <title><![CDATA[A UX Perspective on AI]]></title>
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      <title><![CDATA[AI Strategy Needs Data Strategy]]></title>
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      <description><![CDATA[<p>On this episode, we welcome Maria Villar, a seasoned expert with over 20 years of experience as a practitioner in data management and strategy. Maria has spent the last few years of her career working at SAP as the Head of Enterprise Data Strategy and Transformation. She is also a member of the Women Leaders in Data &amp; AI (WLDA) network.</p><p>During this episode, we dive into her expertise in business data leadership, gaining valuable insights into the key challenges encountered in designing and executing data strategies. We discuss the leaders who are spearheading these initiatives and examine the influence of AI on data strategy as a whole. Additionally, we explore how data security and AI strategies together affect data strategy.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/mariacvillar/">Maria's Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://youtu.be/V99ixvz8EsU?si=BDIpdD1lsHDiBEd5">Maria's YouTube Masterclass</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://wldaventures.tech/">WLDA Ventures Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/podcast?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Feb">AlignAI Waitlist</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[The Impact of AI on Teams]]></title>
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      <description><![CDATA[<p>On this episode, we are joined by Alex Rogozhin, the Senior Director of Artificial Intelligence at Bread Financial. Alex has over twelve years of leadership experience in developing data science and machine learning solutions within the financial services sector. In his current role, Alex empowers high-performing teams to deliver AI/ML solutions that have a direct impact on the business performance.</p><p>During this episode, we discuss recent data and AI trends, the impact of emerging technologies on AI teams, and AI solutions as products for businesses. We also dive into how teams should evaluate the success and impact of AI systems, in addition to, how data scientists can support end-users to drive adoption and usage of these solutions.</p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/in/alexrogozhin/">Alex’s Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.breadfinancial.com/">Bread Financial</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://wldaventures.tech/">WLDA Ventures Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.getalignai.com/podcast?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Feb">AlignAI Waitlist</a></p><p><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Beyond Code: AI Data & Design]]></title>
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      <description><![CDATA[<p>This week we are joined by Nicolay Christopher Gerold. In this episode, Nicolay (Nico) brings a unique blend of expertise with his rich background in GenAI, NLP, and LLMs. Nico discusses a practical approach to the real-world applications and implications of generative AI technologies. </p><p>During this episode, we dive into the multifaceted impacts of GenAI, discussing its role in data extraction, the challenges surrounding data governance and privacy, and the significance of synthetic data. Nico offers valuable insights on the future of AI user interfaces and the shift towards specialized AI models by making AI integrations more accessible and intuitive for users.</p><p><a href="https://www.linkedin.com/in/nicolay-gerold/">Nicolay’s Linkedin</a></p><p><a href="https://www.aisbach.com/">AISBACH Data Solutions</a></p><p><a href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a href="https://www.getalignai.com/podcast?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Feb">AlignAI Waitlist</a></p><p><a href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <description><![CDATA[<p>On this episode, our team welcomes guest Cal Al-Dhubaib, Founder of Pandata. The company specializes in AI solutions for high-risk sectors such as healthcare, financial services, and defense. This approach focuses on integrating trust into AI systems, while addressing the unique challenges and restrictions of these sensitive areas.</p><p>During this episode, we explore the transition from experimental AI projects in 2023 to a more execution-focused approach in 2024, highlighting the shift from innovation to operational budgets. We also cover the complexities of AI in high-risk areas, how best practices for AI safety are being established, and the significant role of AI in influencing critical decision-making across various industries.</p><p><a href="https://www.linkedin.com/in/dhubaib/">Cal's Linkedin</a></p><p><a href="https://pandata.co/">Pandata Website</a></p><p><a href="https://www.linkedin.com/company/alignai">AlignAI Linkedin</a></p><p><a href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Website</a></p><p><a href="https://www.getalignai.com/get-a-demo-waitlist?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Social_Media_Jan">AlignAI Waitlist</a></p><p><a href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <description><![CDATA[<p>This week we are joined by Maya Mikhailov. Maya is the Co-Founder &amp; CEO of SAVVI AI and on a mission to make all companies more competitive to leverage the power of AI and machine learning. The company has created a platform and tool to build, launch, and manage their own purposeful machine learning apps for practical everyday business decisions. The company does this in a responsible, transferable and auditable way that is crucial for enterprises who are leveraging machine learning and AI today.</p><p>On this episode, we discuss recent data and AI trends, how AI is impacting small and large companies, the build vs. buy AI conversation, and how companies are prioritizing use cases for adopting AI to fulfill company objectives.</p><p>Linkedin: <a href="https://www.linkedin.com/in/mayam/">Maya Mikhailov</a></p><p><a href="https://www.savviai.com/">SAVVI AI</a></p><p>Linkedin: <a href="https://www.linkedin.com/company/alignai">AlignAI</a></p><p><a href="https://www.getalignai.com/waitlist?utm_source=Social_Media&amp;utm_medium=Newsletter&amp;utm_campaign=Social_Media_Sept">AlignAI Waitlist</a></p><p><a href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Dec">AlignAI Website</a></p><p><a href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p>]]></description>
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      <title><![CDATA[Data Security for AI Models Ft. Jason Montgomery]]></title>
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      <description><![CDATA[<p>This week we are joined by Jason Montgomery. Jason is an entrepreneur with almost 30 years of combined experience in systems, software, and cybersecurity engineering in the Data and AI space. Over his career he has worked with Fortune 500s, startups, and government agencies (Department of Defense) to specialize on system hardening and application security. He has Co-Founded and served as Chief Technology Officer (CTO) at two Ohio startups - making him an influential leader for product and enterprise security, cybersecurity, and generative AI.</p><p>Currently, Jason is the Co-Founder and CTO of his second startup company: Mantium, which combines cybersecurity and AI into a platform that allows companies to communicate with generative AI models in a secure and responsible way through robust security controls and measures.</p><p>On this episode, we discuss the Bipartisan Framework for the U.S. AI Act. We also talk about regulations, risk management, building vs. buying generative AI, permission access for models &amp; systems, and secure approaches for leveraging generative AI.</p><p>Linkedin: <a href="https://www.linkedin.com/in/jmonty/">Jason Montgomery</a></p><p><a href="https://mantiumai.com/">Mantium Website</a></p><p><a href="https://mantiumai.com/resources/llm-security/">Mantium Security Whitepaper</a></p><p>Linkedin: <a href="https://www.linkedin.com/company/alignai">AlignAI</a></p><p><a href="https://www.getalignai.com/get-a-demo-waitlist?utm_source=Social_Media&amp;utm_medium=Linkedin&amp;utm_campaign=Oct_Waitlist">AlignAI Waitlist</a></p><p><a href="https://www.getalignai.com/?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Oct">AlignAI Website</a></p><p><a href="https://www.instagram.com/aiordie_podcast/">AlignAI Instagram</a></p><p><a href="https://owasp.org/www-project-chirps/">OWASP Chirps</a></p><p><a href="https://github.com/mantiumai/chirps">GitHub Repo</a></p><p><a href="https://open.spotify.com/episode/2ukzNfH0VkwPoT846ekGap?si=24fbe88816794c9c">SuperDataScience Podcast Episode</a></p>]]></description>
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      <pubDate>Tue, 24 Oct 2023 20:36:39 GMT</pubDate>
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      <title><![CDATA[AI Strategy & Governance Ft. Salema Rice]]></title>
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      <description><![CDATA[<p>Welcome back to episode 8. This week we are joined by Salema Rice. Salema is the CEO and Founder of CDO Today. Throughout the course of her career, she has established a decorative portfolio by being a builder, lawmaker, and a strategic driver within the Data and AI space. Salema has been an industry Chief Data Officer (CDO) for almost 20 years and has thrived within the industry for over 25 years.</p><p>Now, with CDO Today, she finds herself in a Strategic Advisor role, as she works with hundreds of C-Level Executives by creating a "think tank" for CDOs by CDOs. It is a private community with executive mentorship, board advisory, and thought leadership. CDO Today allows Salema to be a voice for the industry, especially with the uptick of evolutionary technology being built and released within the world today.</p><p>This episode we discuss the #1 topic that enterprises are leveraging for generative AI, how CDOs are thinking about AI strategy, guidelines and guardrails for Data Governance, and how critical data can solve organizational problems.</p><p>Salema Rice Linkedin: <a href="https://www.linkedin.com/in/sjrice/">https://www.linkedin.com/in/sjrice/</a></p><p>AlignAI Linkedin: <a href="https://www.linkedin.com/company/alignai">https://www.linkedin.com/company/alignai</a>AlignAI Website: <a href="https://www.getalignai.com/platform?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Sept">https://www.getalignai.com/platform?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Sept</a></p><p>AlignAI Waitlist: <a href="https://www.getalignai.com/waitlist?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Sept">https://www.getalignai.com/waitlist?utm_source=Social_Media&amp;utm_medium=Podcast&amp;utm_campaign=Social_Media_Sept</a></p><p>AlignAI Instagram: <a href="https://www.instagram.com/aiordie_podcast/">https://www.instagram.com/aiordie_podcast/</a></p>]]></description>
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      <pubDate>Mon, 25 Sep 2023 13:36:57 GMT</pubDate>
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      <title><![CDATA[Treating Data & AI as Products]]></title>
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      <description><![CDATA[<p>This week Rehgan Avon, Nick Woo, and Brendan Kelly meet in-person to chat about recent news in the data and AI world, along with, several other key topics.</p><p>We discuss how data has transformed into being a product, rather than a project. Not to mention, how the user experience (UX) can benefit from leveraging data in their flow of work. Many organizations and teams are wondering how to learn from and validate generative AI. We talk about how generative AI is a single component within the large realm of the data and AI ecosystem.</p><p>We talk through practices for how to use Large Language Models (LLMs) by providing context within prompts to drive better results from the models.</p>]]></description>
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      <pubDate>Thu, 10 Aug 2023 13:48:55 GMT</pubDate>
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      <title><![CDATA[Scaling MLOps ft. Michael Cavaretta of Ford Motors]]></title>
      <itunes:title><![CDATA[Scaling MLOps ft. Michael Cavaretta of Ford Motors]]></itunes:title>
      <description><![CDATA[<p>This week we are joined by Michael Cavaretta of Ford Motors. Mike is currently an Analytics Executive in manufacturing at Ford Motors.We discuss scaling MLOps in an organization and delivering capabilities. Not to mention, incorporating models into a critical operation.Many organizations struggle to have business outcomes from implementing MLOps, we discuss how Mike is currently addressing that within his current organization.We teamed up with Ford Motors recently to write a playbook, check it out in our resources.</p>]]></description>
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      <title><![CDATA[Law & AI Ft. Carole Piovesan]]></title>
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      <description><![CDATA[Welcome back to episode 5. This week we are joined by  Carole Piovensan. Carole is Managing Partner at INQ Law, focusing her practice on privacy, cyber incident response, data governance, and artificial intelligence (AI) risk management. She regularly counsels clients on a wide range of matters related to privacy, cyber readiness and breach response, data governance, ethical AI, and responsible innovation. On this week's episode, we discuss what she’s hearing from clients around AI &amp; law, use cases, points of concern, big opportunities long term, etc.<ul><li>Google showing you AI-generated ads. How are internet ads going to change with AI?</li></ul><ul><li>AI Regulation discussion &amp; how we predict it to unfold</li><li>Governance leaders &amp; how they are leveraging stewards. Bringing people and processes together.</li><li>Fractional CDO/CAO/CTO - Caution against it or lean into it?</li><li>We also chat:</li><li>New York City cracking down on using AI to hire and recruit.</li><li>Guidance and regulations for AI</li><li>Bridging regulation gaps internally</li><li>What constitutes good data quality?</li><li>Country-wide regulations around research and development around models and AI</li></ul>]]></description>
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      <title><![CDATA[LLMs in the Enterprise, Can They Trust Them?]]></title>
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      <description><![CDATA[<p>This week we are joined by <strong>Pete Gordon. </strong>Pete has worked with many companies to build NLP solutions. Pete believes that beautiful things happen when Statistics and Software come together on the Internet to bring Automated Inference (AI) and the ideal User Experience. </p><p>This week we cover topics:</p><ul><li><p>Update from Nick at the conference he’s attending in Cincinnati, Ohio.</p></li><li><p>Why are companies avoiding data governance right now?</p></li><li><p>Why Cyber Security should care about AI.</p></li><li><p>Paradigm shift and digital transformation with ChatGPT. How much impact will this have on workers (programmers, data scientists, and writers)</p></li><li><p>The AI Revolution. How previous revolutions replaced or accelerated the past technologies we use today.</p></li><li><p>How start-ups have embraced AI and why.</p></li><li><p>Word embeddings with OpenAI</p></li></ul>]]></description>
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      <title><![CDATA[Is MLOps just hard mode for Data Engineering?]]></title>
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      <description><![CDATA[Welcome back to AI or Die, episode 3! In this episode, we cover:<ul><li>GDPR violation of ChatGPT</li><li>Why companies shouldn't wait to implement AI</li><li>Emerging Tutorials for Documenting</li><li>Is MLOps mostly data engineering? (hot take)</li></ul>]]></description>
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      <title><![CDATA[Is ChatGPT having AI Hallucinations?]]></title>
      <itunes:title><![CDATA[Is ChatGPT having AI Hallucinations?]]></itunes:title>
      <description><![CDATA[<ul><li>Brendan’s Meditation Retreat</li><li>New ChatGPT features</li><li>Generative AI being adopted by companies</li><li>AI Hallucinations</li><li>Are companies avoiding the L and T words?</li></ul>]]></description>
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      <title><![CDATA[Job Titles In Data Are Made Up]]></title>
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      <description><![CDATA[<p>Welcome to AI or Die's first episode! In this episode, we talk about Brendan's mullet, ChatGPT vs Bard, layoffs in tech, crazy job titles in Data, and much more.</p>]]></description>
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