Podcast
The Tesoro AI Podcast
Hosted by Darius Gant · EN
Exploring practical applications of artificial intelligence in business. We learn from leading AI startups and executives how AI is reinventing the way we run businesses and our society.
12episodes
Episodes
Newest firstAll episodes
The Rise of AI in Cyber Defense Strategy | Harry Thomas, Frenos
Nov 2700:44:46Tap to summarizeIn this episode of the Tesoro AI podcast, host Darius Gant interviews Harry, a former nurse turned cybersecurity expert and the founder of Frenos, an AI-native OT security posture management platform. Harry shares his unique career journey from the medical field to cybersecurity and AI, delving into his transition phases and the creation of Frenos. The discussion covers the implementation and benefits of AI in cybersecurity, the challenges of building AI models, and the differences between local and cloud-based large language models. Harry also provides insights into the future of AI technology and shares valuable advice for hiring AI talent. Tune in for an enlightening conversation on AI in cybersecurity and the evolving landscape of AI solutions. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: With over a decade of deep-rooted experience in cybersecurity, Harry Thomas stands at the forefront of the industry as an expert offensive penetration tester with a specialized focus on the industrial and healthcare sectors. Renowned for his strategic approach to securing critical infrastructure, Harry has mastered the art of OT/ICS passive monitoring, designing solutions that not only detect but also thwart sophisticated cyber threats.Harry is currently the CTO of Frenos, where he continues to leverage his extensive expertise in cybersecurity to lead the company's strategic direction and innovation. Under his leadership, Frenos is setting new standards in the development and implementation of advanced cybersecurity solutions, focusing on protecting critical industrial and healthcare infrastructures from emerging cyber threats. Prior to his leadership at Frenos, Harry served as the Director of Product Research and Development at Dragos, where he led initiatives to integrate robust security practices into industrial control systems. He also played a pivotal role at AWS, leading the development of AI/ML-driven User Behavioral Analytics products that significantly enhanced security protocols across various platforms. Time Stamps: 00:35 Harry's Journey from Nursing to AI 04:35 Building the Frenos Platform 08:40 Proactive Cybersecurity with AI 12:18 Challenges and Solutions in AI Implementation 15:12 Local vs. Cloud-Based LLMs 22:40 Cloud vs. Local Models: Key Differences 24:09 Building vs. Buying: Challenges in AI Development 27:48 Talent and Skills for AI Projects 30:12 Retrieval-Augmented Generation (RAG) Systems 32:16 Building a RAG as a Personal Project 35:49 Cost and Scalability in AI 39:22 Frenos Found Rising Journey 41:41 Future of AI Models 44:28 Conclusion and Final Thoughts Resources: Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: http://frenos.io LinkedIn: https://www.linkedin.com/company/frenos-inc/ https://www.linkedin.com/in/harry-j-thomas/
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AI's Impact on Application Performance Testing and Strategy | Frank Cohen, Clever Moe
Sep 1500:48:57Tap to summarizeIn this episode of the Tesoro AI podcast, we sit with Frank Cohen, a Silicon Valley expert specializing in performance architecture and extreme performance testing. Frank shares insights from his 35-year career, including his work with PepsiCo during the Super Bowl, and the development of performance testing software like Push to Test and App Vance. He discusses the growing role of AI in job markets and how it has transformed traditional processes, including how tools like ChatGPT can aid job seekers. The conversation also delves into how AI can enhance application testing and performance across various industries, and the importance of ethical practices and sustainability in AI development. Frank highlights his new venture, Clever Moe, focusing on consulting services and the future of AI-driven solutions. Founder Bio: Frank Cohen is an application performance and architecture expert and Silicon Valley inventor (3 patents, 2 pending), serial entrepreneur (2 exits), and software engineer. He started the Antivirus market with Symantec Norton Antivirus & Utils. He got Apple onto the Web. He got Sun into Web messaging and social media. He started the Open Source Testing movement (Founder at PushToTest, Appvance, $5M Series B in January 2019, and Selenium contributor) to 3 million downloads/650,000 users of his TestMaker/Appvance AIQ software test platform. He helped start the Agile movement, then the DevOps movement from his seminal books and speaking on Java, Testing, and Design. He advises PepsiCo, Best Buy, GM, Ford, US Navy, Air Force, and DISA on solving scalability and performance issues. He is author of Open Source competitive evaluation guides on serverless, microservices and integration development platforms, application performance management (APM), big data migration, and testing platforms. He is currently founder at Appvance Inc. (performance testing) and Clever Moe (AI for digital ad targeting). Time Stamps: 00:35 Frank's Journey into AI 02:52 Challenges and Benefits of AI 04:57 Frank's Career in Performance Testing 09:38 AI in Performance Testing 14:46 Scalability and Performance Metrics 20:37 Real-World Performance Testing Examples 24:53 Handling Unexpected Traffic Surges 25:39 Understanding Viral Marketing 27:04 Introduction to Clever Mode 28:51 Global Staffing Strategies 34:05 AI Talent and Market Trends 38:46 Leveraging AI Tools in Various Professions 46:12 Future of AI and Language Models 47:36 Conclusion and Contact Information Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://clevermoe https://appvance.ai/ LinkedIn: https://www.linkedin.com/company/clevermoe/ https://www.linkedin.com/in/fcohen/ Twitter (X): https://x.com/clevermoes Email: fCohen@clevermo.com
Transcribe →Financial Modeling Meets AI: The Financial Analyst of the Future? | Albert Gozzi, Aleph
Jul 2200:48:16Tap to summarizeIn this episode of the Tesoro AI podcast, we speak with Albert Gozzi, founder of Aleph, about transforming financial processes using AI. They discuss the evolution of Gozzi's career from management consulting at Bain & Company to becoming COO/CFO of an early-stage startup, and ultimately founding Aleph to solve core financial data issues. Gozzi elaborates on Aleph's capabilities in data cleaning, variance analysis, and version control, underlining the significance of AI in enhancing accuracy and accelerating workflows. They also touch upon future developments in AI for finance and how businesses can leverage these advancements for greater productivity and efficiency. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Albert Gozzi is the cofounder and CEO of Aleph, a company's one source of truth for financial data. Aleph makes financial reporting, budgeting and planning 10x better. Before founding Aleph, he was the COO at OpenZeppelin and a management consultant at Bain. Originally from Buenos Aires, Argentina, Albert is currently based in NYC. He studied Industrial Engineering at Instituto Tecnológico de Buenos Aires and did an MBA at the Stanford Graduate School of Business. Time Stamps: 00:24 Albert's Career Journey 02:55 Pain Point of Leveraging AI in Finance 05:51 AI's Role in Workflow Acceleration 09:01 Version Control in Financial Models 12:35 Data Ingestion and Analysis with Aleph 19:22 Adoption and Engagement with Aleph 23:32 AI's Impact on User Experience 26:38 Vendor Data Visualization and Traceability 29:08 AI in Variance Analysis 31:37 Accuracy and Trust in AI for Finance 36:50 Training AI with Finance Expertise 40:48 Implementing AI in Finance Teams 44:17 Future of AI in Finance and Announcements Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.getaleph.com/ LinkedIn: https://www.linkedin.com/company/getaleph/ https://www.linkedin.com/in/albertgozzi/ Twitter (X): https://x.com/getaleph
Transcribe →From Ghosted to Engaged: The Rise of Two-Way AI Chats | Prem Kumar, Humanly.io
Jun 1300:42:51Tap to summarizeIn this episode of the Tesoro AI Podcast, Darius Gant sits down with Prem Kumar, co-founder of Humanly, to explore how true two-way AI conversations are reshaping the candidate experience. Prem shares how a personal brush with being "ghosted" as an applicant inspired him to build a platform that engages every candidate—applicants and sourced prospects alike—across chat, email, SMS, and voice, all while embedding compliance guardrails like real-time pay-transparency for each locale. You'll learn how Humanly's skill-based matching engine infers hidden competencies from past hires, plugs invisibly into your ATS and HRIS workflows, and even offers candidates a voice-activated agent for interview prep and career guidance—long before they ever speak with a human recruiter. Plus, discover the auditing processes Humanly employs to surface and mitigate bias in real time, ensuring a fair and transparent process for all. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Prem Kumar is currently CEO and co-founder of Humanly.io, a venture backed generative AI platform that empowers hiring teams to be more effective and equitable in the job candidate conversations that should remain Human-driven, while automating the ones that shouldn't. Previously, Prem led the product management and design teams at TINYpulse, an employee engagement company that empowers organizations to build world-class cultures with real-time people data. Prior to TINYpulse, Prem spent 10 years at Microsoft working in a variety of product capacities, in areas such as HR Technology, New Ventures, Dynamics 365, and Office 365. Prem has been recognized as Geekwire's "Startup CEO of the year - 2023", a PSBJ 40 under 40 honoree, Forbes NEXT 1000 honoree (Forbes) TAtech Top 100 leader (TAtech.org), Top 100 HR Influencer (HR Weekly) and to "The Most Inclusive HR Influencer List 2021" (social micole). Time Stamps: 00:32 Prem's Early Career & Pain Point 02:40 Humanly's Approach to Candidate Engagement 06:21 Multi-Channel AI Chat 09:04 Humanly's Candidate Pool and Outreach 12:04 Automating the Screening Process 15:52 AI's Role in Modern Recruitment 20:03 Challenges of Bias in AI Recruitment 24:02 Integrating AI with HR Systems 25:44 AI in Candidate Interviews 27:24 Analyzing Interview Data 31:03 Data Collection for AI Models 35:25 Future of AI-Powered Employees 39:59 Tools and Skills for AI Integration 41:42 Humanly's Future Plans Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcasts: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://humanly.io/ LinkedIn: https://www.linkedin.com/company/humanlyhr/ https://www.linkedin.com/in/premskumar Instagram: https://www.instagram.com/humanlyhr/ Facebook: https://www.facebook.com/HumanlyHR
Transcribe →The Future of QA: How AI Agents are Changing Software Testing | Daniel Loreto, Jetify
Mar 19, 202500:45:43Tap to summarizeIn this episode of the Tesoro AI podcast, host Darius Gant interviews Daniel, a seasoned technologist with experience at top tech companies like Google, Twitter, and Airbnb. They delve into Daniel's early career and the launch of his startup, Jetify, which aims to accelerate the software development lifecycle. The conversation explores the evolution of AI from its early days to the impact of large language models (LLMs) like ChatGPT. Daniel introduces Jetify's flagship product, TestPilot, an AI agent designed to automate QA testing by simulating human interactions with web applications. He discusses the challenges of QA, the benefits of AI-driven automation, and the future potential of AI agents in various domains. The episode provides insights into the complexities and advantages of integrating AI in software development, emphasizing how specialized solutions like TestPilot can enhance efficiency and reliability. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Daniel Loreto is an experienced technology leader and entrepreneur with a proven track record of driving innovation and growth within the software industry. As the Founder of Jetify, Daniel is responsible for setting the strategic vision and leading the execution of the company's ambitious growth plans. He oversees all aspects of the business, from product development and engineering to go-to-market strategy and operations. Under his leadership, Jetify has rapidly gained traction in the market, delivering cutting-edge technology that empowers its customers to thrive in the digital age. Prior to founding Jetify, Daniel served as the Founder of jetpack.io, a successful tech startup that specialized in cloud infrastructure solutions. Before that, he held senior engineering and leadership roles at prominent tech companies, including Vice President of Engineering at Virta Health and Head of Engineering, Airbnb Luxe at Airbnb. Throughout his career, Daniel has demonstrated a keen ability to identify market opportunities, assemble high-performing teams, and deliver innovative products that drive measurable business impact. Time Stamps: 00:35 Daniel's Impressive Tech Background 04:06 The Birth of Jetify: From Idea to Execution 07:24 AI-Powered QA Testing 11:12 Challenges and Future of AI in QA 16:12 Difference between traditional QA and Test Pilot 20:29 Building vs. Buying AI Solutions for QA 22:47 Challenges of Building Your Own Testing Infrastructure 23:51 The Potential of AI Agents in Testing 28:00 Ensuring AI Agents Perform Effectively 33:41 The Future of AI in Software Development 39:03 Thoughts on Test pilot in the market 40:58 TestPilot's Vision for 2025 and Beyond Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.jetify.com/ LinkedIn: https://www.linkedin.com/company/jetify-com/ X : https://x.com/jetify_com
Transcribe →Tackling AI Deployment Risk Through Ethical and Effective AI Use | George Chamoun, Fairo AI
Mar 6, 202500:51:59Tap to summarizeIn this episode of the Tesoro AI podcast, host Darius Gant speaks with George, the founder of Fairos, about the rapidly evolving landscape of artificial intelligence. George shares insights into his background, transitioning from big data and data science to founding an AI-focused startup. The discussion delves into the significant gap between AI investment and realized value, highlighting the importance of AI skills and governance in bridging this gap. George explains how Fairo helps organizations manage AI risks by offering solutions such as bias detection and governance frameworks. The conversation also touches on AI agent technology, industry-specific challenges in AI adoption, and the importance of combining practical experience with AI expertise. Finally, George outlines Fairo's future plans to launch a new SaaS offering aimed at empowering AI product managers across various industries. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: George Chamoun is the Founder & CEO @ Fairo where he helps organizations automate AI GRC (that's Governance, Risk and Compliance) , build ethical systems, and see returns on AI investments. Prior to founding Fairo, he worked as a statistician, data scientist, and technology executive. George loves finding unique solutions to complex problems and collaborating with others. Time Stamps: 00:24 George's Journey into AI 02:06 The AI Investment Gap: Challenges and Solutions 04:57 Risks and Reputational Concerns of AI in Social Media 12:11 Fairo Platform- Addressing AI Risks and Bias 16:19 Vendor Management and Compliance in AI 22:43 Engagement with Fairo User Experience 24:25 The Future of AI Agents and Governance 26:20 Exploring AI Agents and System Vulnerabilities 29:22 AI Governance and Industry Adoption 30:37 Insurance and Healthcare Regulations 33:07 Building Risk and Compliance Solutions 38:00 The Value of Professional Services in AI 43:15 Talent Acquisition and Training in AI 50:10 Future Plans and Closing Remarks Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.fairo.ai/ LinkedIn: https://www.linkedin.com/company/fairo-ai/ https://www.linkedin.com/in/george-chamoun-a97906b1/
Transcribe →Decoding AI Decisions: The Importance of Interpretability in AI Models | Dmitry Lesnik, Stratyfy
Feb 25, 202500:43:31Tap to summarizeIn this episode of the Tesoro AI podcast, host Darius Gant welcomes Dmitri Lesnik, Co-founder of Stratyfy, to discuss the evolving landscape of artificial intelligence. Dmitry delves into his background in physics and AI, having developed influential algorithms since his PhD studies in Germany. He highlights Stratyfy's focus on probabilistic logic and interpretable AI, emphasizing their applications in fraud detection, lending, and healthcare. The conversation also explores the broader implications of AI, including the importance of transparency, the risks of biased and fraudulent activities, and the potential future of AI reaching artificial general intelligence (AGI). Dmitry stresses the need for businesses to adopt cutting-edge AI technologies while remaining conscious of their risks and ethical considerations. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Dmitry Lesnik, Stratyfy Co-Founder and Chief Data Scientist. Dmitry began working on Stratyfy's core technology over 10 years ago while working as quantitative analyst, experiencing the inefficiencies and headaches of working with traditional financial modeling techniques. He spent 12 years developing pricing models, hedging strategies, and risk assessment models for trading desks. Here, Dmitry gained significant experience in software development projects—from concept to integration in the firm's trading systems. He has a deep understanding of financial business concepts, including portfolio management, risk management, pricing theory, and financial markets dynamics. He has obtained a Ph.D. in theoretical physics in Germany. He studied cognitive science and worked on research projects in the interdisciplinary areas of machine learning, mathematical logic and neurophysiology. Dmitry developed algorithms for boosting the performance of rules-based classifiers. After leaving academia, Dmitry worked in Research at Philips Ltd., which was a combination of deep theoretical research and hands-on practical experience. Time Stamps: 00:36 Dmitry's Background in AI 02:00 The Evolution of AI Algorithms 04:54 Interpretable Algorithms and Their Importance 07:53 Addressing Bias with AI 10:13 Addressing Fraud with AI 14:50 The Role of AI in Business Growth 20:04 The Future of AI Agents and Ethical Considerations 24:52 Understanding AGI and Its Implications 30:11 Stratyfy's Approach to AI Solutions 35:01 Risks and Responsibilities in AI Development 39:50 Conclusion and Future Outlook Resources: Follow Darius Gant: LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://stratyfy.com/ LinkedIn: https://www.linkedin.com/company/stratyfy/
Transcribe →The Intersection of AI and Physics in Advanced Manufacturing | Robin Toluie, PhysicsX
Jan 30, 202500:47:04Tap to summarizeIn this episode of the Tesoro AI podcast, we sit with Robin Toluie, a key figure behind PhysicsX, a company leveraging AI and machine learning to accelerate simulation and design processes across various advanced industries. They delve into Robin's extensive background in both theoretical physics and high-stakes automotive engineering with leading companies like Mercedes AMG and Bentley Motors. They discuss the application of machine learning in optimizing vehicle designs, reducing costs through virtual simulations, and its broader implications beyond automotive—applying to aerospace, renewables, and medical fields. Robin highlights PhysicsX's innovative use of large physics models and deep learning to replace traditional numerical simulations, driving faster and more efficient product development. They also explore the potential and limitations of AI-generated simulations, the role of agents in automating engineering workflows, and the exciting developments upcoming in the field, including the release of Airplane 2.0. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Robin Tuluie is the founder and vice chairman of PhysicsX, pioneering deep learning and simulation solutions for breakthrough engineering. A theoretical physicist, Robin discovered a new effect in cosmic background radiation, later confirmed by the Nobel-winning COBE satellite. Transitioning to Formula One, he led R&D at Renault (Alpine) F1, securing back-to-back championships, then at Mercedes F1, helping build one of the sport's most dominant teams. After further success at Bentley Motors, Ducati MotoGP, and Volkswagen Group, he founded PhysicsX in 2019 to revolutionize engineering with AI-driven simulation, tackling climate and industrial challenges. Time Stamps: 00:33 Robin's Journey and Background 06:15 Transition to Physics X 09:42 Challenges in Generative AI and Physics 12:29 Talent and Team at Physics X 14:17 Comparison Between Simulations 19:53 Trust and Validation in AI Models 22:24 Understanding Large Physics Models 24:20 Introducing AI.Rplane: AI-Powered Design Tool 26:04 Future of AI Agents in Engineering 31:58 Applications in Manufacturing and Operations 35:51 3D Printing and Design Optimization 37:16 User Experience and Team Structure 40:17 Global Team and Future Prospects 45:24 Conclusion and Future Releases Resources Follow Darius Gant LinkedIn: https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website: www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.physicsx.ai/ LinkedIn: https://www.linkedin.com/company/physicsx/ Twitter (X): https://x.com/physicsxai Instagram: https://www.instagram.com/physicsx.ai/
Transcribe →The Role of AI in Modernizing Data Centers and IT Ops | Christina Kosmowski, LogicMonitor
Jan 9, 202500:49:00Tap to summarizeIn this episode of the Tesoro AI podcast, we sit with Christina Kosmowski, LogicMonitor CEO. Christina shares her extensive experience and insights into the intersection of AI, data centers, and digital transformation. She discusses her career journey from leadership roles at Salesforce, Slack, and now Logic Monitor, highlighting the significant inflection points in cloud computing and AI advancement she witnessed. She delves into the importance of data centers in the AI ecosystem, the role of Logic Monitor in optimizing data center performance, and the challenges and strategies around cost, performance, and sustainability. Christina also touches on the transformative power of AI agents, the importance of customer-centric innovation, and Logic Monitor's future plans, including their recent $800 million funding round. The episode offers a comprehensive look at how AI and data centers are reshaping the digital landscape and the strategic role of IT operations in this evolution. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: As CEO of LogicMonitor, Christina is responsible for accelerating the company's hypergrowth and delivering on its brand promise of helping C-level executives and their teams thrive through transformation. Prior to assuming the role of CEO, Christina served as LogicMonitor's President, leading go-to-market strategy, R&D, customer success and operations. She has spent over two decades holding leadership positions in the enterprise software space and is passionate about discovering new ways to bring the worlds of technology and business together. Christina came to LogicMonitor from Slack, where she spent four years building and leading Customer Success and Enterprise GTM Teams. Christina also spent 15 years at Salesforce, where she oversaw functions including renewals, consulting, support and customer success. In both of these roles, she helped guide her respective organizations through pivots, disruptions and rapid periods of growth, while also being a pioneer of the Customer Success practice. Outside of LogicMonitor, Christina serves on the board of Rapid7 (NASDAQ: RPD) and is a founding partner of Operator Collective, an organization that brings together tech's most sought-after operators, investors, and founders from diverse backgrounds to invest in and accelerate the next generation of b2b tech. Time Stamps: 00:37 Christina's Career Journey 04:10 The Role of Data Centers in AI 07:53 Logic Monitor's Value Proposition 10:50 Challenges and Solutions in Data Centers 15:12 AI Integration and Future Prospects 21:22 Logic Monitor's Integration and AI Capabilities 25:24 Transforming IT Operations with LogicMonitor's 27:35 Customer-Centric Innovations 30:18 Early Stages of AI Integration 33:41 Upskilling in the Age of AI 36:39 Managing AI Agents 40:37 Focusing on Core AI Use Cases 43:34 Customer Feedback and Community Engagement 45:33 Exciting Announcements and Future Plans Resources Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com Subscribe on Spotify: https://open.spotify.com/show/4uDVNgsK3iNeu7yU4Inu2n Subscribe on Apple Podcast: https://podcasts.apple.com/ae/podcast/the-darius-gant-show/id1527996104 Company website: https://www.logicmonitor.com/ LinkedIn: https://www.linkedin.com/company/logicmonitor/ Twitter (X): https://x.com/LogicMonitor
Transcribe →Transforming Data Analytics with AI-Powered Solutions | Sarah Nagy, Seek AI
Dec 19, 202400:45:27Tap to summarizeIn this episode of the Tesoro AI podcast, host Darius Gant interviews Sarah Nagy, founder of Seek. They discuss Sarah's journey from astrophysics and finance to founding an AI-driven data analytics startup. Sarah explains Seek's mission to simplify data accessibility and analysis using large language models (LLMs). With her extensive background in quantitative finance and data science, Sarah sheds light on the nuances of alternative data, the challenges of dealing with unstructured data, and the importance of a robust data engineering team. The conversation also covers the evolution of AI agents, the critical role of data documentation, and Seek's flat fee business model. Sarah shares insights on effective data management practices and the significance of UI/UX in developing AI products. The episode concludes with Sarah's thoughts on the future of AI and an announcement about Seek's participation in the NRF conference. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com). We are experts in AI strategy, staff augmentation, and AI product development. Founder Bio: Sarah Nagy is a former quant who currently serves as Founder & CEO of Seek AI, a leading startup that provides organizations with a natural language interface for data, empowering anyone in a business to ask questions and receive data-driven insights fast. Sarah most recently led the consumer data team at Citadel's Ashler Capital. Prior to joining Citadel, Sarah led enterprise data product development at two startups, Edison and Predata, which both exited. Sarah started her career as a quant at ITG developing algorithmic trading strategies. Sarah has a Master in Finance degree from Princeton and dual Bachelor's degrees in Astrophysics and Business Economics from UCLA. Time Stamps: 00:34 Sarah's Background in Finance and Astrophysics 03:12 Identifying Pain Points in Data Science 05:11 Founding Seq and Leveraging AI 08:45 Current State of Seq's Product 09:45 Data Governance and Access Control 13:16 Use Cases in Consumer Packaged Goods 15:43 Best Practices for Data Readiness 20:59 Importance of Prompt Engineering 24:31 Choosing the Best Business Model for Seek 27:43 Identifying Typical Users of Seek 29:08 Differentiating Seek from ChatGPT 31:58 Building vs. Buying AI Solutions 38:53 Conversations with Investors 41:37 Future of AI and Generative AI 44:21 Upcoming Events and Final Thoughts Resources Company website: https://www.seek.ai/ LinkedIn: https://www.linkedin.com/company/seekai/ https://www.linkedin.com/in/sarah-nagy/ Twitter: https://x.com/ai_seek https://x.com/sarahrnagy
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