Sinan and Akshay sit down with Sudhir Hasbe, Chief Product Officer at Neo4j and a leading expert in graph databases and analytics to explore why 2024 is a breakout year for graph databases.
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Practically Intelligent E14: Securing Generative AI with Sanjay Kalra
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The advent of Generative AI presents a significant challenge for security in the enterprise. Join us as we deep dive into the common threat vectors with Sanjay Kalra, product leader at Zscaler and former CPO of Lacework. Sanjay offers insights into new […]
Full Article Practically Intelligent E13: Navigating the Evolving World of Open Source AI with Rajiv Shah
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Dive into the intricate world of AI and open source with Rajiv Shah in the latest episode of “Practically Intelligent.” Rajiv, with his extensive experience at DataRobot, Hugging Face, and now Snowflake, offers invaluable insights into how enterprises can leverage AI and data effectively.
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Practically Intelligent E12: Data You Can Trust: Revolutionizing Data Preparation and Curation with Curtis Northcutt
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In episode 12 of Practically Intelligent, we are joined by Curtis Northcutt, founder and CEO of CleanLab.ai. We dive deep into the nuances of data operations and quality and Curtis discusses the evolution of data from mere numbers to a pivotal business asset.
Full Article Practically Intelligent E11: From Decision Support to AI Integration: Navigating BI’s Evolution with Donald Farmer
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In episode 11 of Practically Intelligent, we take a look at the dynamic and intricate world of business intelligence (BI) with the esteemed Donald Farmer, a pioneer in BI and the driving force behind Power BI. This episode takes us on a journey through the evolution of BI, from its roots in decision support systems to the burgeoning era of machine learning and the transformative potential of language models.
Full Article Practically Intelligent E10: Decoding AI Hype: A Practical Guide to Discerning Fact from Fiction
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This episode has us diving headfirst into a the tsunami of AI advancements and the hype cycles surrounding them. Join us in a thought-provoking conversation with Nathan Lambert as we explore how to navigate this complex landscape.
Full ArticlePractically Intelligent E9: Exploring AI’s Frontier in 2024: Promise vs. Reality in Tech’s New Era
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Join us as we dissect the key assertions made about the future of AI, from its transformative impact on technology to the burgeoning role of open-source. We’ll highlight the most compelling insights, challenge the hyperboles, and correct any misleading narratives we find.
Full ArticlePractically Intelligent E8: Navigating the New Frontier of Multimodal AI with Jacob Solawetz
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Join us in episode eight of Practically Intelligent as we welcome Jacob Solawetz, CTO at arcee.ai and former founding engineer at Roboflow. Jacob, a trailblazer in computer vision and AI, discusses the evolution and impact of multimodal AI technologies.
Full Article Practically Intelligence E7: The Power of Benchmarking in AI Progress
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Praveen Paritosh, a visionary in the field of AI research, discusses the history of shared data benchmarks and how they serve to guide AI research, legacy benchmarks like SQuAD and their historical influence on the AI community, the complexity of benchmarks as proxies and the fine line between conceptual and rote learning in AI development.
Full ArticlePractically Intelligent E6: Ethics and Bias in AI Models
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Giada Pistilli, Principal Ethicist at Hugging Face discusses how training data bias in AI has unpredictable downstream implications.
Full ArticlePractically Intelligent E5: Reliable Software Development with LLMs
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In the latest episode of Practically Intelligent, Sinan Ozdemir and Akshay Bhushan chatted with Adam Azzam, PhD, AI Product Lead at Prefect, about the challenges of merging traditional software engineering with AI engineering. We go over why integrating LLMs present such a challenge to many developers, and how Marvin AI, a new open-source tool, can help. We also talk about the concept of Ambient AI and how we can fuse AI into the existing developer lifecycle.
Full ArticlePractically Intelligent EP4: Evaluating Large Language Models with Nathan Lambert
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In this episode, Nathan Lambert shares valuable insights from his experience as a Research Scientist at HuggingFace 🤗. We dive deep into the nuances of evaluating large language models (LLMs) and the role of the HuggingFace’s Open LLM Leaderboard.
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