The Darius Gant Show

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 [http://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/ [https://www.trustible.ai/] LinkedIn: https://www.linkedin.com/company/trustible/ [https://www.linkedin.com/company/trustible/] Twitter: https://twitter.com/TrustibleAI [https://twitter.com/TrustibleAI]

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 [http://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/ [https://brainboxai.com/en/] Instagram: https://www.instagram.com/brainboxai/ [https://www.instagram.com/brainboxai/] LinkedIn: https://www.linkedin.com/company/brainboxai/ [https://www.linkedin.com/company/brainboxai/] Facebook: https://www.facebook.com/BrainBoxAI [https://www.facebook.com/BrainBoxAI] Twitter: https://x.com/brainboxai [https://x.com/brainboxai]

In today’s episode, we sit with Patricia Thaine, the Co-founder and CEO of Private AI. Patricia shares her journey into the world of AI, the challenges companies face in adhering to data protection regulations like GDPR, and the vital role of privacy-enhancing technologies. She elaborates on how Private AI leverages artificial intelligence to help companies identify and safeguard personal information within their data, ensuring compliance and protecting customer privacy. Additionally, Patricia emphasizes the importance of data minimization and discusses the real-world applications of AI in addressing privacy and data protection challenges.   Private AI is addressing the pain point of data privacy by leveraging AI to help companies identify and protect personal information in unstructured data. Patricia explained that AI is crucial in understanding the context of the data and making accurate predictions about what constitutes personal information. While traditional methods like regular expressions can be used, they often fall short due to their inability to handle the complexity and variety of unstructured data.   If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.  Founder Bio:   Patricia Thaine is the Co-Founder & CEO of Private AI, a Microsoft-backed startup who raised their Series A led by the BDC in November 2022. Private AI was named a 2023 Technology Pioneer by the World Economic Forum and a Gartner Cool Vendor. She is also a Computer Science PhD Candidate at the University of Toronto (on leave) and a Vector Institute alumna. Her R&D work is focused on privacy-preserving natural language processing, with a focus on applied cryptography and re-identification risk. She also does research on computational methods for lost language decipherment. Patricia is a recipient of the NSERC Postgraduate Scholarship, the RBC Graduate Fellowship, the Beatrice “Trixie” Worsley Graduate Scholarship in Computer Science, and the Ontario Graduate Scholarship. She is the co-inventor of one U.S. patent and has ten years of research and software development experience, including at the McGill Language Development Lab, the University of Toronto’s Computational Linguistics Lab, the University of Toronto’s Department of Linguistics, and the Public Health Agency of Canada.   Time Stamps:   02:10 Patricia's background and journey into AI 03:54 Challenges and solutions in data privacy 06:15 Consequences of noncompliance in data protection 09:43 Enhancing data privacy in AI startups 11:34 Unraveling data privacy in AI for multinational compliance 15:11 Demystifying AI’s role in data analysis and application 17:10 AI, privacy, and internal risks in large language models 21:09 Building the private AI platform: Team and technology insights 23:35 Efficiency and expertise in building custom machine learning models 28:33 Catalysts and compliance in conversational AI adoption 30:35 Evaluating AI’s role over regular expressions in customer solutions 33:07 Investing millions for superior Data-Driven AI models 34:51 Fundraising journey for an AI startup 38:20 Private AI upcoming announcements and where to find them   Resources   Company website: https://private-ai.com/ [https://private-ai.com/] Youtube: https://www.youtube.com/@privateai715 [https://www.youtube.com/@privateai715] LinkedIn: https://www.linkedin.com/company/private-ai/ [https://www.linkedin.com/company/private-ai/] Patricia’s LinkedIn: https://www.linkedin.com/in/patricia-thaine/ [https://www.linkedin.com/in/patricia-thaine/] Twitter: https://twitter.com/_PrivateAI [https://twitter.com/_PrivateAI]

Artificial intelligence (AI) has come a long way since its early days of identifying cats in images. Today, AI is transforming the way we work and interact with technology, thanks to the development of AI agents. These agents, powered by advanced AI models, act as virtual colleagues, capable of automating tasks, providing insights, and orchestrating complex workflows   In this episode we speak with Alexander de RidderDirector, co-founder and CTO of Ink Co. The conversation explores Alexander's journey in the AI and machine learning space, starting from early innovations in computer vision to the development of Smith OS, an operating system for collaborative AI agents. Alexander shares insights into the transformative potential of AI in marketing, SEO, and business, highlighting his contributions through patenting semantic optimization technology and predicting Google rankings with impressive accuracy. The discussion also covers the impact of AI on consumer and enterprise levels, the advent of AI agents and multi-agent systems as future workforces, and the challenges and opportunities presented by AI integration into various sectors. Alexander emphasizes the importance of AI orchestration through tools like Smith OS and offers advice for individuals interested in AI, highlighting AI technology's democratizing potential. 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:   Alexander De Ridder is an entrepreneur, technologist, and visionary focused on leveraging AI to transform marketing and business. As Co-Founder and CTO of INK Content, Inc., he currently leads the development of Smyth OS, an operating system for collaborative AI agents.A recognized thought leader on the future of AI, Alexander paints a bold vision for how AI assistants will interact with specialized websites to deliver hyper-relevant, personalized experiences he calls "Web 3.0." He sees major changes on the horizon as AI transforms search, e-commerce, and human-computer interaction.With deep expertise in areas including AI, machine learning, marketing, and SEO, Alexander frequently shares his insights on where technology is heading and how businesses can prepare. He advises enterprises on transitioning to AI-driven strategies and workflows.    Time Stamps:   02:00 Alexander's journey: from machine learning to AI pioneering 05:26 The evolution of AI in search and content marketing 08:03 Revolutionizing content creation with AI 13:08 The future of AI agents and workforce automation 19:24 The exponential growth of AI through multi-agent systems 23:17 Consumer domination and workspace revolution 28:35 Exploring the capabilities of AI in automation 30:32 Showcasing SmythOS: practical applications and examples 35:22 Building your Own AI agent: Accessibility and Skill Levels 41:46 The Technical Backbone of SmythOS 47:30 SmythOS found raising journey: the future of work with AI agents 51:54 How to get in contact with the SmythOs team   Resources: Company website: https://smythos.com/ [https://smythos.com/] Facebook: https://www.facebook.com/people/SmythOS/61552328188105/ [https://www.facebook.com/people/SmythOS/61552328188105/] LinkedIn: https://www.linkedin.com/company/smythos/ [https://www.linkedin.com/company/smythos/] Twitter: https://x.com/adridder [https://x.com/adridder]

In this episode, we sit with Brian Rue, the CEO and co-founder of Rollbar. They discuss Rollbar’s continuous code improvement platform, which uses AI to help developers proactively discover, predict, and fix errors in their code. Brian shares his background in coding and how his experience in building social games on Facebook led him to start Rollbar. He explains the evolution of their error monitoring solution and how they incorporated AI to provide accurate alerts and signals to developers. They also discuss the impact of AI on developer productivity and the value proposition of Rollbar’s AI-driven solution. The introduction of AI into Rollbar’s error monitoring solution revolutionized the process. By leveraging AI, Rollbar could accurately identify and group errors, saving developers from sifting through millions of error reports. The AI solution incorporated domain-specific knowledge and inferred patterns based on data, enabling developers to focus on the most critical issues. This automation not only improved the accuracy of error detection but also allowed developers to respond faster to issues, leading to increased efficiency and productivity. If your company is looking to scale its AI initiatives, head over to Tesoro AI (www.tesoroai.com [http://www.tesoroai.com]). We are experts in AI strategy, staff augmentation, and AI product development.  Founder Bio: Brian is the CEO and Co-founder of Rollbar, the leading continuous code improvement platform that proactively discovers, predicts, and remediates errors with real-time AI-assisted workflows. With Rollbar, developers continually improve their code and constantly innovate rather than spending time monitoring, investigating, and debugging. Brian founded the company with Cory Virok in 2012. Prior to Rollbar, Brian was the CTO and Co-founder of Lolapps, a leading publisher of independent games on social networks and mobile platforms. Brian attended Stanford University where he studied Management Science and Engineering.   Time Stamps:   01:38 Brian Rue background and professional journey 05:20 Enhancing error monitoring through AI integration 09:26 Maximizing developer efficiency through AI automation 13:33 Acquiring talent and technology for AI integration 16:40 Managing Time Zones in Global Teams 19:27 Rollbar's go to market strategy 21:47 Balancing product adoption and value proposition in sales 24:13 Navigating VC funding in a challenging tech ecosystem 25:46 What's coming up for Rollbar in 2024, and what are the future plans   Resources Twitter: https://x.com/rollbar [https://x.com/rollbar]Company website: https://rollbar.com/https://rollbar.com/ [https://rollbar.com/] LinkedIn: https://www.linkedin.com/company/rollbar/ [https://www.linkedin.com/company/rollbar/]