

The Artificial Intelligence Podcast
Dr. Tony Hoang
Interviews and conversations with thought leaders in Artificial Intelligence, Machine Learning and Data Science
Episodes
Mentioned books

Jun 20, 2024 • 33min
Interview #43 - Julian LaNeve, CTO of Astronomer
We sit down with Julian LaNeve, Chief Technology Officer at Astronomer. In this episode, Julian provides an in-depth look into Astronomer's journey as a front-runner in data orchestration and engineering. He discusses the innovative strategies and technologies that set Astronomer apart, the evolving landscape of data engineering, and the challenges and achievements that have shaped the company's path. Dive into an insightful discussion about the future of data technology, the culture driving Astronomer's success, and the vision that Julian LaNeve brings to the forefront of this dynamic field.

17 snips
Jun 14, 2024 • 51min
Interview #42 - Hagay Lupesko, VP of Engineering at Databricks/MosaicML
Join Hagay Lupesko, VP of Engineering at Databricks/MosaicML, in an exclusive backstage access to discuss Databricks AI Summit 2024 GenAI announcements. Hagay discusses the latest generative AI advancements, emphasizing Databricks' shift towards serverless AI services and the importance of leveraging proprietary data for enterprise AI systems. He highlights a new partnership with Shutterstock for a commercially ready text-to-image model and the development of an agent framework to enhance AI functionality with integrated tools. We touch on the future of AI, focusing on the balance between pre-training and fine-tuning models, and addressing security concerns in AI development.

Jun 5, 2024 • 23min
Interview #41 - Michael Huth, Dean at Imperial College London and Chief Research Officer at Xayn
Join Michael Huth, Dean at Imperial College London and Chief Research Officer at Xayn, as he discusses his journey from a mathematics background to leading roles in both academia and a startup, highlighting the importance of strategic control in his department at Imperial and the innovative work at Xayn. He explores topics such as the concept of sovereign legal AI, the global landscape of AI legislation, ethical concerns in regulated industries, and the integration of cybersecurity with AI research and development.

Apr 19, 2024 • 22min
#40 - Arijit Raychowdhury, Chair of ECE at Georgia Tech, and Cheryl Martin, Global Higher Education and Research at Nvidia
Join Arijit Raychowdhury, Chair of Electrical and Computer Engineering at Georgia Tech, and Cheryl Martin, Global Higher Education and Research at Nvidia, as they discuss their pioneering collaboration in AI education. Diving into the genesis of the partnership, they elaborate on how it aims to democratize access to AI tools and resources for students across disciplines. From hands-on experience to mentorship opportunities, they explore the unique setup of the AI makerspace and its potential to inspire the next generation of innovators.

Apr 15, 2024 • 23min
#39 - Ron Jones and Alexa Tsui, CEO and COO at G2X
Join Ron Jones and Alexa Tsui, CEO and COO of G2X, as they discuss a recent memorandum from the Biden administration titled "Advancing Governance, Innovation, and Risk Management for Agency Use of AI." Ron and Alexa highlight the challenges of hiring AI talent in the public sector due to competition with the private industry, but also discuss potential solutions such as recruiting from universities. They touch on the role of universities, including HBCUs, in producing AI talent for the government. Additionally, they discuss the potential synergy between government contractors and the government in addressing the AI talent shortage.

Mar 4, 2024 • 42min
#38 - Michelle McGuire, Partner and Chief Commercial Officer at Deloitte
Join Michelle McGuire, a Partner at Deloitte Consulting and Chief Commercial Officer for Deloitte's AI-enabled product, ConvergeCONSUMER, as she shares her journey through the realms of IT, engineering, and data science. Michelle discusses her self-taught beginnings, her extensive experience in Media and Entertainment, including roles at Turner Broadcasting and CNN, and her current focus on leveraging generative AI for innovative product development and market strategies, underscoring the critical role of predictive capabilities in transforming business marketing and product innovation.

Feb 13, 2024 • 44min
#37 - Dr. Abdullah Canbaz, Director of AI in Complex Systems Lab at SUNY Albany
Join Dr. Abdullah Canbaz, Director of AI in Complex Systems Lab at SUNY Albany, as he discusses his transition from industry to academia, his current research on AI applications in visualization, cybersecurity, and more, and shares insights on the future of AI in education and society. He emphasizes the importance of human involvement in AI development and the need for early education on data and machine learning concepts.

Feb 8, 2024 • 33min
#36 - Ophir Kra-Oz , CPO of accessiBe
Join Ophir Kra-Oz, Chief Product Officer for accessiBe, as he underscores the importance of understanding digital accessibility processes and leveraging accessible frameworks for website development. Discover how the transition to traditional machine learning methods is enhancing accessibility solutions and explore accessiBe's self-service options for assessing website accessibility. Additionally, learn about future plans to offer more tools for developers, simplifying accessibility efforts.

Feb 2, 2024 • 29min
#35 - Pavle Jeremic, CEO of Aether
Pavle Jeremic, CEO of Aether, discusses their self-healing programmable materials for 3D printing, their approach to generating high-quality data through a hybrid robotic lab, and advancements in lithium technology. They explore material science, AI in drug design, and overcoming challenges in startup funding.

Jan 30, 2024 • 50min
#34 - Joe Atkinson, Chief Products and Technology Officer at PwC
Joe Atkinson, Chief Products and Technology Officer at PwC, discusses the impact of generative AI in professional services. He highlights PwC's commitment to responsible AI usage and the value of human-led AI. They explore the development of innovative tools and the potential of small language models. Predictions for the future include more efficient frameworks, integrating AI into all jobs, and the importance of AI in higher education.