Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
In this episode of the Practical AI podcast, cybersecurity experts Gregory Richardson and Ismael Valenzuela from BlackBerry delve into the changing world of cybersecurity in the AI era. They point out that while AI presents exciting opportunities for both cyber attackers and defenders—such as more sophisticated phishin...
In this podcast episode, Elham Tabassi from NIST explores the importance of trustworthy AI. She discusses NIST's mission to promote innovation and build trust in technology by collaborating on guidelines like the AI Risk Management Framework. The episode highlights essential aspects of trustworthiness in AI systems, su...
In this episode of the podcast, the creators of MotherDuck explore the exciting evolution of data analytics, shifting from traditional big data methods to more streamlined, in-process analytical databases like DuckDB. They discuss how DuckDB stands out for its speed, flexibility, and compatibility with multiple data fo...
In this podcast episode, Michael Greenwich, CEO of WorkOS, and Adam Azzam, Principal Product Manager at Prefect, explore the evolving world of workflow orchestration for startups. They highlight that achieving enterprise readiness is a gradual process rather than a one-time goal, emphasizing the importance of intuitive...
In this podcast episode, experts discuss the changing role of AI and data collaboration, focusing on how AI is being integrated into enterprise solutions. They explore the merging of traditional and generative AI workflows and highlight innovative tools from Argilla. The conversation underscores the importance of teamw...
In this podcast episode, Daniel Whitenack and Mike Lewis dive into a thought-provoking discussion that counteracts the growing disillusionment with AI in the business world. Mike highlights AI's transformative potential, urging a focused and proactive approach to fully leverage its capabilities for improving efficiency...
This podcast episode features AI engineer Prashanth Rao, who shares insights into the evolving field of graph databases and their integration with vector databases to enhance retrieval systems through innovative techniques like GraphRAG. He discusses the superiority of graphs in analyzing complex, interconnected data c...
This podcast episode navigates the complex landscape of artificial intelligence, detailing strategies for filtering reliable information, the significance of open-source tools like scikit-learn through Probable, and the flexibility offered by platforms such as Fly.io. It provides insights into OpenAI's O1 model, examin...
This podcast episode delves into the transformative impact of Generative AI (Gen AI) on cybersecurity dynamics, articulating how it empowers domain experts with direct technology interaction and fosters a collaborative, flexible approach to security practices. Dinis emphasizes a two-fold approach to securing AI systems...
This podcast episode provides an insightful journey through the evolution of AI methodologies, from the early days of data science characterized by small-scale model building to the transformative rise of foundation models and generative AI. Daniel discusses the significance of model training, the emergence of transfer...
This podcast episode discusses the evolving landscape of evaluating LLM applications versus LLMs themselves, emphasizing the necessity for application-centric evaluation tools that cater to builders who may not possess deep machine learning expertise. Shahul explores the distinctions between traditional software testin...
This podcast episode delves into the intricate security landscape surrounding Large Language Models (LLMs), featuring insights from Donato Capitella, who emphasizes that rather than simply asking if LLMs are secure, we should focus on how securely they are implemented in specific applications. He underscores the import...
This podcast episode emphasizes the crucial role data plays in the efficacy of AI, arguing that high-quality, robust data is the cornerstone of successful AI models. The hosts unpack the intricacies of AI models, the significance of training data, and the advantages of leveraging both public and private data within var...
This podcast episode sheds light on Intel's strategic advantages in the AI sector, emphasizing its cost-effective and high-performing solutions compared to NVIDIA, along with a seamless integration for developers transitioning from NVIDIA to Intel’s ecosystem. With insights from key players at Intel, the discussion hig...
This podcast episode highlights the transformative role of data science within the traditional energy sector, featuring insights from Bengsoon Chuah on navigating challenges like unstructured data and data labeling. By sharing his experiences with machine learning, user engagement, and tools like Argilla and DuckDB, he...
This podcast episode critically examines the Gartner Hype Cycle in relation to AI technologies, with an emphasis on the disconnect between public perception and actual industry usage. The hosts, along with guest Demetrios, dissect various AI terms and their placements on the cycle while proposing new terminology and co...
This podcast episode explores the current state of generative AI and its potential impact on various industries. It discusses the release of Kyutai Moshi, a real-time voice assistant that aims to beat OpenAI to market, and highlights its potential applications in secure corporate environments. The episode also delves i...
This podcast episode explores the advancements in vector search and semantic search, highlighting the significance of Pinecone as a pioneer in this field. Pinecone's vector databases and word embeddings enable powerful similarity searches, revolutionizing traditional text-based searches. The conversation also touches o...
This podcast episode explores the AI Index Report from Stanford University's Human-Centered AI Center, which provides an annual comprehensive overview of AI advancements. The report covers various aspects of AI development and impact, including technical performance, economic integration, policy making, research and de...
This podcast episode explores the reality of AI adoption in different companies, the evolution and maturing of data science and AI teams, early impressions of Apple Intelligence, criticism of Apple's reliance on open AI, challenges faced by large organizations when using third-party APIs, implications of using closed s...
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