The Artificial Intelligence Podcast

Join Heidi Golledge, CEO of Jobot, as she shares her entrepreneurial journey from founding CyberCoders (which sold for over $100M) to launching Jobot, an AI-powered recruitment platform that serves 10 million users and 15,000 open jobs. She discusses how AI is transforming the recruitment landscape through tools like Jax (Jobot Automated Experience) while emphasizing the continued importance of human elements like attitude and cultural fit in hiring. Golledge provides insights on the future of work, suggesting that AI will become as fundamental as electricity in every industry while advising job seekers to focus on building personal brands, embracing AI tools, and aligning career choices with their desired lifestyle rather than just pursuing high salaries.

Join Will Hu, CTO of Flagler Health, as he discusses the evolution of AI in healthcare to today's advanced AI-powered services that can handle everything from appointment scheduling to clinical diagnostics. Hu emphasizes that while previous decades focused on point solutions, current healthcare AI is shifting toward comprehensive service-oriented approaches that integrate with existing workflows, though he notes that policy changes around payment models and reimbursement are crucial for wider AI adoption. Looking to the future, Hu is excited about the potential of combining ambient clinical data capture with patient interactions outside the clinic to create truly holistic care, while maintaining that AI will augment rather than replace healthcare workers, creating more jobs in the field.

Join Babak Hodjat, CTO of AI at Cognizant, as he discusses Neuro AI, their flagship AI platform that uses multi-agent systems to create decision-making workflows where AI agents can communicate with each other to solve complex business problems. Babak demonstrates how Neuro AI works through various examples, including an intranet search system where agents collaborate to answer queries and a podcast analytics tool that helps optimize listener engagement, feedback quality, and production costs. The platform can be deployed on-premises for companies dealing with sensitive data, and Cognizant is positioning itself as a pioneer in commercial multi-agent systems for business solutions.

Join Vicky Demas, CEO of identifeye HEALTH, as she shares insights into her journey from a chemical engineer to leading a healthcare AI company. She discusses the innovative work her team is doing in retinal imaging and AI to revolutionize diagnostics, starting with diabetic retinopathy. Vicky also explores the future of AI in healthcare, highlighting the potential to democratize access and improve patient outcomes on a global scale.

Join Babak Hodjat, CTO of AI at Cognizant, as he discusses the latest advancements in generative AI, including foundational model improvements and the rise of agent-based systems. Babak shares insights on the challenges of scaling AI POCs and the growing demand for AI-driven workflows with human-in-the-loop systems. He also teases exciting developments at Cognizant, where agent-based architectures are transforming productivity and decision-making.

Join Adam Burns, VP at Intel, as he explores the future of AI and its integration into edge computing and IoT. Adam shares insights into Intel’s efforts to scale AI applications across various hardware platforms using tools like OpenVINO. He discusses the shift from narrow, rules-based algorithms to broader, AI-driven solutions that enhance efficiency and accessibility. Adam also highlights Intel's focus on developing low-power neural processing units (NPUs) for optimal AI performance on diverse devices. Discover how Intel is democratizing AI, making advanced technology accessible to a wider range of developers and industries.

Join Varun Mohan, CEO of Codeium, as he discusses the evolution of his company from a GPU virtualization startup to a leading AI-powered coding assistant. He explains how Codeium differentiates itself by training its own models, leveraging context from entire codebases, and focusing on improving the entire software development lifecycle beyond just code writing. Mohan also shares his views on the future of coding assistants, predicting an increase in AI-generated code and a profound change in the IDE experience, while emphasizing that these tools will likely create more developer jobs rather than replace them.

Join Matt Fleck, CEO, and Neil Heller, COO, of Anonomatic as we discuss data protection by separating business data from identifying information, a method they call polyanonymization. They emphasize that traditional data protection methods like encryption and firewalls are insufficient against modern threats, especially with the advent of quantum computing and generative AI. Their flagship product, PII Vault, enables organizations to keep data secure by removing personal identifiers, making it useless if stolen, thus balancing security with the need for data utility.

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.

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.