The Tesoro AI Podcast

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• The Rise of AI in Cyber Defense Strategy | Harry Thomas, Frenos 27.11.2025 44min

  In 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/
• AI's Impact on Application Performance Testing and Strategy | Frank Cohen, Clever Moe 15.09.2025 48min

  In 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  
• Financial Modeling Meets AI: The Financial Analyst of the Future? | Albert Gozzi, Aleph 22.07.2025 48min

  In 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  
• From Ghosted to Engaged: The Rise of Two-Way AI Chats | Prem Kumar, Humanly.io 13.06.2025 42min

  In 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  
• The Future of QA: How AI Agents are Changing Software Testing | Daniel Loreto, Jetify 19.03.2025 45min

  In 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  
• Tackling AI Deployment Risk Through Ethical and Effective AI Use | George Chamoun, Fairo AI 06.03.2025 51min

  In 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/    
• Decoding AI Decisions: The Importance of Interpretability in AI Models | Dmitry Lesnik, Stratyfy 25.02.2025 43min

  In 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/  
• The Intersection of AI and Physics in Advanced Manufacturing | Robin Toluie, PhysicsX 30.01.2025 47min

  In 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/
• The Role of AI in Modernizing Data Centers and IT Ops | Christina Kosmowski, LogicMonitor 09.01.2025 49min

  In 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
• Transforming Data Analytics with AI-Powered Solutions | Sarah Nagy, Seek AI 19.12.2024 45min

  In 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  
• The Future of Sleep Diagnostics with AI | Chris Fernandez, Ensodata 12.12.2024 46min

  In this episode of the Tesoro AI podcast, host Darius Gant talks with Chris from Enso Data about how artificial intelligence is transforming sleep medicine. Chris delves into his career journey from engineering to healthcare, the founding of Enso Data, and how the startup uses AI to improve diagnosis and treatment of sleep apnea. They discuss the evolution of Enso Data's technology, from its early days at the University of Wisconsin to its current impact on the sleep care pathway. Chris also highlights the challenges and benefits of integrating AI into healthcare, the importance of data security, and the future of sleep diagnostics. The episode concludes with insights into the company's growth, funding journey, and an invitation for new talent to join their mission.   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:   Chris Fernandez is the co-founder and Chief Research Officer of EnsoData, a medical software company pioneering the field of Waveform AI. EnsoData's first product, EnsoSleep, is an FDA-cleared SaaS that aids in the diagnosis of sleep apnea for both in-lab and at-home tests. Cleared in 2024, EnsoSleep PPG expands the same diagnostic capabilities to FDA cleared pulse oximeters. Under the combined leadership of Fernandez and co-founders Sam Rusk and Nick Glattard, EnsoData has grown to more than 50 full time employees, raised over $30,000,000 in venture capital funding from top VCs, obtained one of the first FDA clearances of AI/ML software in all of healthcare, and collaborated to release more than 30 AI research publications to push the science of sleep forward.   Chris Fernandez's work has earned him and EnsoData various recognitions, including being named to the 2021 Forbes 30 Under 30 in Healthcare list, the Inc. Best Places to Work list for the third year in a row (one of only three Wisconsin companies to make the list in 2023), the Wisconsin Innovation Award in Healthcare, and the InBusiness 40 Under 40 list, among other acknowledgment   Time Stamps:   00:33 Chris's Career Journey and Enso Data's Origin 06:10 Transforming Sleep Care with AI 11:26 Understanding How Esodata Works with Data 14:24 Challenges and ROI in AI for Sleep Diagnostics 17:06 Future of AI in Sleep Diagnostics and Broader Implications 21:00 EnsoData's Impact on Sleep Apnea 25:58 EnsoData's Interface for Clinicians 28:02 Data Privacy and Security in Healthcare 30:58 Building and Training AI Models 34:00 Choosing the Right AI Team 35:36 Challenges in AI Development 37:36 Probabilistic Outcomes and Improving Accuracy 39:47 Fundraising Journey and Market Shifts 43:11 Future of Sleep Apnea Treatment and EnsoData's Vision   Resources Company website: https://www.ensodata.com/ LinkedIn: https://www.linkedin.com/company/ensodata/ Facebook: https://www.facebook.com/ensodata Twitter: https://twitter.com/ensodata  
• Automating Software Application Development with AI | Zvonimir Sabljic, Pythagora 05.12.2024 49min

  In this episode of the Tesoro AI podcast, host Darius Gant interviews Zvonimir Sabljic 'Z', the founder of Pythagora, an AI-based tool that automates coding tasks and helps build applications from scratch. Z discusses his career journey, starting with a collaborative whiteboard startup that was eventually acquired by Miro. The conversation then shifts to Pythagora, the motivations behind focusing on AI, and how the technology evolved from generating HTML/CSS to creating entire applications from user specifications. The episode also covers the transition from traditional coding to AI-driven solutions, the benefits of such innovations, and insights from Z's experience with Y Combinator. Z highlights how Pythagora is cutting down on development time significantly and empowering individuals and companies to innovate rapidly without extensive coding knowledge.   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:   Zvonimir is an engineer and technology entrepreneur with a Master's degree from the Faculty of Electrical Engineering and Computing (FER). He founded AWW (A Web Whiteboard), which became a significant player in the online whiteboard market. Under his leadership, AWW grew to serve 1.5 million monthly active users, with Apple being its largest customer. In 2021, AWW was acquired by Miro (formerly known as Realtimeboard). He is continuously exploring new opportunities to bring cutting-edge solutions to market and is currently focused on building Pythagora.   Time Stamps:   00:36 Zvonimir Introduction and Early Ventures 05:40 Pythagora: From Concept to Product 10:32 Test-Driven Development and Pythagora's Evolution 14:45 ROI and Business Impact of Pythagora 17:21 Critical decisions to Discuss with a Company 19:19 AI in Code Generation and Future Prospects 23:49 Pythagoras's Automated Documentation 25:17 AI vs. Human Coders: A Comparative Analysis 29:53 The Role of AI in Enhancing Creativity 33:38 Pythagora's Feedback Loop for Code Development 35:48 Market Strategy and Adoption 40:48 The Impact of YC on Pythagora 43:02 Fundraising Experiences and Investor Insights 46:16 The Future of AI and Pythagora's Vision 48:06 whats coming new for Pythagora in 2025   Resources Company website: https://www.pythagora.ai/ LinkedIn: https://www.linkedin.com/company/pythagora-gpt-pilot/ YouTube: https://www.youtube.com/@pythagoraa Twitter: https://x.com/PythagoraAI Follow Darius Gant LinkedIn - https://www.linkedin.com/in/m-darius-gant-cpa-44650aa/ Company Website - www.tesoroai.com      
• Harnessing AI to Revolutionize Code Review | Hunter Brooks, Ellipsis 21.11.2024 46min

  In this episode of the Tesoro AI podcast, we speak with Hunter Brooks, co-founder and CEO of Ellipsis. We discuss Hunter's journey from a self-taught developer with a background in astrophysics to creating an AI-driven code review tool. Hunter elaborates on his professional experiences at companies like Capital One and Amazon, where he gained exposure to machine learning and AI. We delve into the capabilities of Ellipsis, how it revolutionizes the code review process by leveraging state-of-the-art large language models (LLMs) to ensure code quality and efficiency. Hunter shares insights into the transition from traditional coding methods to AI-assisted development, emphasizing the importance of integrating AI to improve productivity without replacing human oversight. The discussion also covers the challenges and advantages of launching an AI startup, including valuable advice from their experience with Y Combinator and the role of VC funding in the crowded AI DevTools space. The episode provides a comprehensive look at how AI can optimize software development, the future of coding, and practical steps for teams and individuals to adopt these advanced tools.   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:   Hunter Brooks is a versatile professional who transitioned from astrophysics to software engineering. Before co-founding Ellipsis, he gained experience at Amazon Web Services (AWS), where he honed his technical expertise. He also contributed to the field of cosmology through research and publications.   Time Stamps:   00:33 Hunter's Background and Career Journey 04:03 Early Challenges with AI and Code Generation 05:26 The State of AI in Code Writing 09:06 Introduction to Ellipsis 12:01 How Ellipsis Enhances Code Review 15:46 Team Code Review Process 19:34 Personalization and Efficiency in Code Review 24:04 Starting an AI Platform as a Startup 26:12 What Ellipsis Does to Go Beyond Basic Code Review 28:19 Empowering Developers with Advanced Tools 29:52 Getting Started with Ellipsis 31:30 Addressing Security Concerns 34:12 Building a Technical Team 38:38 Fundraising in the AI Space 43:07 Future Developments and Features   Resources   Company website: https://www.ellipsis.dev/ LinkedIn: https://www.linkedin.com/company/ellipsis-dev/ Twitter: https://twitter.com/ellipsis_dev  
• Balancing Privacy and Precision in AI | Steven Atneosen, TomtA AI 14.11.2024 51min

  In this episode of the Tesoro AI podcast, host Darius Gant converses with Steven Atneosen , a seasoned serial entrepreneur and executive with a diverse background in law, corporate strategy, and technology. Steven shares his career trajectory from a fascination with automobiles to the legal profession, and eventually into the world of AI and tech startups. He recounts his roles in various companies, including carparts.com, aristocrat, Axiom, and finally Tomta. The discussion delves into the importance of data privacy in AI development, the challenges of using sensitive data, and Tomta's innovative solutions for creating hyper-accurate yet anonymized datasets. This conversation sheds light on the critical intersection of technology, data privacy, and the future of AI, emphasizing the need for robust and ethical data management practices.   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:   Steven Atneosen has a Bachelor of Science (BS) degree in Accounting and Finance from Drake University. Additionally, they hold a Doctor of Law (JD) degree from Mitchell Hamline School of Law, with a focus on Entrepreneurship/Entrepreneurial Studies, Business, Litigation, and Appellate. Steven is also certified as an Attorney by the Minnesota State Bar Association. Steven has a diverse work experience spanning over a decade. Steven is currently the CEO and Co-founder of tomtA, where they focus on creating ML solutions for organizational missions by allowing the safe sharing and use of anonymized real data. Before tomtA, Steven founded Grand Chasm Ventures in 2018 and served as the Managing Director. Steven also worked as an Advisor for ElectricFish and NIO, where they held the role of Advisor to XPT before becoming the Vice President of Corporate Development for the same division. At NIO, they played a key role in attracting funding, building product roadmaps, and securing acquisitions for electric, connected, and autonomous vehicles. Steven has also been an Investor and Advisor for Deepen AI, an Advisor and interim COO for Wireline.io, and the SVP of Corporate Development, General Counsel, and Chief Privacy Officer for StayWell Health Management. Furthermore, they co-founded and served as the CEO of DebateHall.com and worked as the Vice President of Operations for RxVantage. Steven was responsible for developing growth strategies and improving product adoption in these roles.   Time Stamps:   00:36 Steven Background From Law to Entrepreneurship 05:08 Transition to Business Development 09:36 Venturing into Healthcare and Ad Tech 13:14 Founding a Venture Capital Firm 16:12 Challenges in AI 19:27 The importance of Data and Privacy 23:02 What problem is Tomta solving 25:32 Understanding Attribute Risk 29:20 Who is more concerned about Data and privacy 33:02 Engaging with Tomta AI 37:20 Future of Data Privacy and AI 45:54 Synthetic Equivalent Data and Its Benefits   Resources   Company website: https://tomta.ai/ LinkedIn: https://www.linkedin.com/company/tomta-ai/ Twitter: https://twitter.com/tomtA_ai  
• Redefining Interaction and Control with AI Twins | Marcus Lampinen, Prfina 07.11.2024 50min

  In this episode, we sit with Marcus Lampinen, the founder of Prifina. Marcus discusses how AI is revolutionizing the way individuals can manage and control their personal and professional data. We then delve into Marcus's background and how his passion for data led to the creation of Prifina, a user-controlled data company aimed at ensuring AI serves individuals' interests. The conversation covers the practical applications of AI in various fields such as athletics, education, and content creation, highlighting how easy-to-use consumer-grade tools provided by Prifina allow users to create their own AI twin. Marcus explains the technicalities behind training these AI models and assures that data control remains with the user, leading to more engaging and personalized interactions. They also explore innovative business models and future possibilities where AI can significantly augment human expertise and save time on mundane tasks.   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:   Markus Lampinen is a serial entrepreneur and early stage investor. Markus is specialized on data and applied AI, currently the CEO of Prifina focused on empowering the consumer market with AI that both represents them publicly and helps them privately. He is also involved in several innovative startups in fintech, data, machine learning and transparent AI.   Time Stamps:   00:36 Marcus Background and Personal Insights 03:55 The Concept of Prifina 08:04 User Engagement with Prifina 13:16 AI in Education and Beyond 17:19 Challenges and Customization in AI Responses 25:04 Simplifying AI for Consumers 25:37 Building and Launching AI Products 28:56 Consumer-Grade AI Platforms 30:14 Horizontal AI Applications 33:02 Contrast between Prifina approach vs. Fine-tuning an LLm 37:14 Business Model and Pricing 40:41 Future of AI Representatives 46:30 Final Thoughts and Upcoming Features   Resources   Company website: https://www.prifina.com/ LinkedIn: https://www.linkedin.com/company/prifina/ Twitter (X): https://twitter.com/myprifina Facebook: https://www.facebook.com/myprifina Markus AI Twin chat: https://hey.speak-to.ai/markus  
• The Future of Construction with AI and Robotics | Maria Telleria, Canvas Build 01.11.2024 48min

  In this episode, we speak with Maria Telleria co-founder and CTO of Canvas. Maria shares her journey from a mechanical engineering background in Mexico to leading innovations in AI and robotics for the construction industry. Starting from her research at MIT to building robots designed for unstructured environments, Maria discusses the challenges and breakthroughs in integrating AI with hardware. She emphasizes the critical role of sensors, AI models, and safety checks in developing effective robotic solutions. Maria also elaborates on how Canvas' technology is improving productivity and safety in construction, outlining the business benefits and future prospects for robots in commercial settings. The conversation covers the practical applications, adoption strategies, and the new hardware platform Canvas is launching to further augment construction workflows.   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:   Maria Telleria is co-founder and CTO of venture-backed Canvas. Her company is building and deploying robotic systems to assist workers in arduous and dangerous construction tasks. The Canvas System is now being deployed in the Bay Area. Before Canvas, Maria was a company lead at Otherlab, an independent research laboratory focused on developing hard tech ideas from research to product. At Otherlab, she oversaw three large-scale government grants and two commercial development programs aimed at developing a new class of compliant robotic systems for unstructured environments. She secured multi-million-dollar grants from agencies like NASA, DARPA, and the Office of Naval Research. She is author on sixteen patents and fifteen patent applications related to Canvas systems and is a co-inventor on an additional three patents related to pneumatic robots. Prior to joining Otherlab, Ms. Telleria worked at MIT Lincoln Laboratory on the design of next-generation data systems. Maria holds a Ph.D. in Mechanical Engineering from MIT. Her dissertation established the field of cylindrical compliant mechanisms. While at MIT she co-founded the MIT Grad Catalyst Program with the mission to give minority students the tools and information required to pursue advanced degrees in science and technology.   Time Stamps:   00:31 Maria's introduction and background 03:50 Challenges in Robotics 05:46 Canvas and real-world applications 07:58 AI and robotics in construction 14:22 Infusing AI into hardware 16:52 Simulation and data challenges 23:05 Use cases for the future of robotics 27:09 Core components of AI-enabled hardware 30:40 Human-AI Collaboration 32:21 Real-world applications and challenges 38:07 Market launch and business strategy 43:10 Adoption and future prospects 46:37 Future directions and how to get in contact with the Canvas team   Resources   Company website: https://www.canvas.build/ LinkedIn: https://www.linkedin.com/company/we-are-canvas/ Twitter: https://x.com/canvas_build  Instagram: https://www.instagram.com/we_are_canvas/  
• Ensuring Trust and Compliance in AI | Guru Sethupathy, Fairnow AI 24.10.2024 41min

  AI governance and risk management are crucial frameworks designed to ensure the responsible development, deployment, and oversight of artificial intelligence technologies. As AI becomes increasingly integral to various sectors, effective governance ensures that these systems operate ethically, transparently, and in compliance with relevant regulations. It addresses key issues such as bias, fairness, accountability, and privacy, ensuring that AI systems benefit society while minimizing potential harms. Risk management in AI involves identifying, assessing, and mitigating risks associated with AI technologies, from algorithmic bias to security vulnerabilities, to safeguard against negative impacts and promote trust in AI applications.   In this episode, we sit with Guru Sethupaty Co-founder and CEO of Fairnow. Guru talk about his extensive background in AI, detailing his journey from an AI enthusiast inspired by IBM's Deep Blue to his academic pursuits at Stanford and professional contributions at Capital One. The conversation delve into the critical aspects of AI governance and risk management, emphasizing the challenges enterprises face in integrating and scaling AI technologies while ensuring compliance and trustworthiness. Guru introduces Fairnow, which provides a platform to help organizations automate AI governance, manage risks, and comply with evolving regulations. Specific case studies, such as the Air Canada chatbot mishap, highlight the necessity for rigorous AI governance. Furthermore, they discuss the market dynamics, talent acquisition challenges in the AI sector, and the future landscape of AI governance.   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:   Guru Sethupathy has dedicated nearly two decades to understanding the impact of powerful technologies, such as AI, on business value, risks, and the workforce. He has written research papers on bias in algorithmic systems and the implications of AI technology on jobs. At McKinsey, he advised Fortune 100 leaders on harnessing the power of analytics and AI, while managing risks. As a senior executive at Capital One, he built the People Analytics, Technology, and Strategy function, leading both AI innovations as well as AI risk management in HR. Most recently, Guru founded a new venture, FairNow. FairNow's AI governance software reflects Guru's commitment to helping organizations maximize the potential of AI while managing risks through good governance. When he's not thinking about AI governance, you can find him on the tennis court, just narrowly escaping defeat at the hands of his two daughters. Guru has a BS in Computer Science from Stanford and a PhD in Economics from Columbia.     Time Stamps:   01:59 Guru's background and journey into AI 06:17 Implications of AI in the enterprise world 09:24 Challenges in AI adoption 11:03 Founding of Fair Now 13:18 Fair Now's governance platform 15:09 Governance and compliance examples 19:18 Modules and customer engagement 21:49 AI integration: understanding compliance and regulations 24:46 Building the engineering and data science team 27:54 Navigating talent acquisition challenges 31:00 Strategies for enterprise sales 34:09 The future of AI governance 38:26 Future directions and how to get in contact with the Fair Now AI team   Resources   Company website: https://fairnow.ai/ LinkedIn: https://www.linkedin.com/company/fairnowai/ Twitter: https://x.com/FairNow_AI  
• Improving AI Evaluation with Data-Driven Approach | Yi Zhang, Relari 17.10.2024 45min

  When getting into AI application development, it's important not to overlook the evaluation process. Many companies concentrate on building and training AI models, but struggle with systematically assessing the performance of these models. This emphasizes the necessity of using robust evaluation tools to accurately gauge the effectiveness of AI systems, stressing the importance of quantitatively measuring AI performance to identify strengths and weaknesses.   Today, we sit with Yi Zhang, co-founder of Relari AI, to learn about their journey from a mix of finance and technology backgrounds into the field of artificial intelligence. We discussed Yi Zhang's early career in computer science, a role in investment banking, and then a transition to AI with a significant position at Pony AI. Our conversation focused on the evolution of the AI industry, specifically the transformative impact of LLMs (Large Language Models) like ChatGPT. We also examined Relari AI's mission to tackle the challenges of operationalizing AI applications, emphasizing their unique approach using synthetic data for rigorous evaluation. Additionally, we covered the importance of cross-industry AI applications, the critical need for reliability in AI outputs, and the company's ongoing recruitment efforts to grow their innovative team. 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:   Yi is the co-founder & CEO of Relari AI. Relari is the testing and simulation platform for Generative AI systems. AI teams use Relari to generate large scale synthetic data to systematically test and improve their LLM-powered applications. Relari is backed by top investors like Y Combinator, Soma Capital and General Catalyst. Prior to founding Relari, Yi was a product leader at two AI unicorns, Pony.ai - an autonomous vehicle startup and Dexterity.ai - an AI robotics startup. Yi holds a Bachelor's Degree in Computer Science from Northwestern University and an MBA from Harvard Business School.   Time Stamps:   01:40 Yi's background and journey into AI 05:41 Founding Relari: The genesis and vision 07:46 Challenges in moving LLMs from demos to production 11:57 Relari's approach to AI evaluation and synthetic data 19:19 Synthetic data and its importance 21:36 Using synthetic data to improve AI chatbot accuracy 26:38 Optimizing AI systems through evaluation and improvement strategies 32:08 The evolution of AI adoption in enterprises 35:33 Building the Relari team 40:17 Closing remarks and how to get in contact with the Relari team Resources Company website: https://www.relari.ai/ LinkedIn: https://www.linkedin.com/company/relari/ Twitter: https://x.com/RelariAI  
• AI Governance and Responsible Innovation | Gerald Kierce, Trustible AI 11.07.2024 47min

  Understanding the regulatory landscape in AI governance is essential for organizations to comply with emerging regulations, such as the EU AI Act. Responsible AI goes beyond principles to accountability, requiring organizations to demonstrate ethical practices in their AI implementations. Model transparency ratings provide a valuable tool for evaluating large language models and assessing their risk factors based on public disclosure.   In this episode we sit with Gerald Kierce, co-founder and CEO of Trustible AI, a leading technology provider focused on responsible AI governance. Gerald provides insights into his background, including his experience at FiscalNote and his vision for Trustible AI. The discussion covers how Trustible AI helps organizations manage AI risks, comply with emerging regulations, and implement responsible AI practices. Gerald also shares his thoughts on the regulatory landscape, the role of third-party audits, and the challenges and strategies in building an AI governance platform. The conversation also touches upon Trustible AI's recent feature, the model transparency ratings, and the complexities of fundraising in the AI sector.   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: Gerald Kierce is the Co-Founder & CEO of Trustible – a leading technology provider of responsible AI governance. Its software platform enables AI and compliance teams to scale their AI Governance programs to help build trust, manage risk, and comply with AI regulations. Prior to founding Trustible, Gerald was an executive at FiscalNote (NYSE: NOTE) where he spent nearly a decade at the company across a variety of roles including VP & General Manager of their AI Solutions division, Corporate Development, Chief of Staff, Product Marketing, and Customer Success. FiscalNote was the most recent DC-based company to go public in the New York Stock Exchange in August of 2022. He is originally from San Juan, Puerto Rico.   Time Stamps:   01:46 Gerald's background and journey into AI 03:58 Navigating AI without a technical background 07:45 Trustible AI pain point: AI Governance and Compliance 13:36 Managing AI risks and mitigation strategies 17:13 The shift from responsible AI to accountable AI 21:34 Navigating AI governance and regulatory compliance challenges 25:50 AI in practice: Real-world applications 28:25 Challenges and solutions in deploying generative AI models 30:04 Building an AI startup: From vision to product adoption 36:31 Understanding model transparency ratings for evaluating AI risks 41:14 Fundraising and market dynamics in AI 45:23 Future Directions and how to get in contact with the Trustible team   Resources   Company website: https://www.trustible.ai/ LinkedIn: https://www.linkedin.com/company/trustible/ Twitter: https://twitter.com/TrustibleAI  
• Decarbonizing Buildings with AI | Omar Tabba, Brainbox 27.06.2024 45min

  In this episode, we sit with Omar Tabba, Chief Product Officer at Brainbox AI, to delve into the transformative use of artificial intelligence in building automation and energy efficiency. With over 20 years of experience, Omar shares his journey into the AI sector, real-world applications of AI in managing HVAC systems, and Brainbox AI's innovations like ARIA, the world's first virtual building assistant.   We discuss the operational and environmental benefits of AI in smart building management, including significant reductions in energy consumption and carbon emissions. The conversation highlights the importance of normalized data, the role of AI in predictive maintenance, and the cultural and technical synergies needed to drive AI innovations in the built environment.   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: Omar Tabba leads the product management function at BrainBox AI. With more than 20 years of expertise in energy efficiency, artificial intelligence, and building automation, he has held various positions spanning technical, sales, and executive roles. Prior to joining BrainBox AI, he led the digital solutions team at the General Electric Current business unit, where he supported the sale of Current's digital solutions to Fortune 200 companies as well as the product, marketing and business development functions. Earlier in his career, Omar co-founded a venture-backed lighting control company and spearheaded sales for Distech Controls (NYSE:AYI) across Eastern North America and the Middle East.   A patent holder, Omar has applied building automation and energy management systems globally across multiple vertical markets (e.g., retail, commercial office, education) and in portfolios ranging from single buildings to several thousand.   Time Stamps:   01:55 Omar's journey into AI and smart buildings 05:11 Pain point that Brainbox is solving: building automation systems 09:01 ROI benefit examples 11:37 The role of AI in building management 16:05 AI applications in building maintenance 20:40 Acquiring and integrating building data 22:17 Solving data retention issues 23:54 Introducing ARIA: The Virtual building assistant 26:28 Building a specialized technical team 30:00 Navigating the AI talent market 32:25 The importance of cultural fit for hiring the right team 36:05 Funding journey and investor insights 41:00 The future of AI in building management 43:10 Exciting Announcements for 2024   Resources   Company website: https://brainboxai.com/en/ Instagram: https://www.instagram.com/brainboxai/ LinkedIn: https://www.linkedin.com/company/brainboxai/ Facebook: https://www.facebook.com/BrainBoxAI Twitter: https://x.com/brainboxai