Summary In this episode of the Data Engineering Podcast Gleb Mezhanskiy, CEO and co-founder of DataFold, talks about the intersection of AI and data engineering. He discusses the challenges and opportunities of integrating AI into data engineering, particularly using large language models (LLMs) to enhance productivity and reduce manual toil. The conversation covers the potential of AI to transform data engineering tasks, such as text-to-SQL interfaces and creating semantic graphs to improve data accessibility, and explores practical applications of LLMs in automating code reviews, testing, and understanding data lineage.

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data managementData migrations are brutal. They drag on for months—sometimes years—burning through resources and crushing team morale. Datafold's AI-powered Migration Agent changes all that. Their unique combination of AI code translation and automated data validation has helped companies complete migrations up to 10 times faster than manual approaches. And they're so confident in their solution, they'll actually guarantee your timeline in writing. Ready to turn your year-long migration into weeks? Visit dataengineeringpodcast.com/datafold today for the details. Your host is Tobias Macey and today I'm interviewing Gleb Mezhanskiy about Interview IntroductionHow did you get involved in the area of data management?modern data stack is deadwhere is AI in the data stack?"buy our tool to ship AI"opportunities for LLM in DE workflowContact Info LinkedInParting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?Closing Announcements Thank you for listening! Don't forget to check out our other shows. Podcast.init covers the Python language, its community, and the innovative ways it is being used. The AI Engineering Podcast is your guide to the fast-moving world of building AI systems.Visit the site to subscribe to the show, sign up for the mailing list, and read the show notes.If you've learned something or tried out a project from the show then tell us about it! Email [email protected] with your story.Links DatafoldCopilotCursor IDEAI AgentsDataChatAI Engineering Podcast EpisodeMetrics LayerEmacsLangChainLangGraphCrewAIThe intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA

I tested DeepSeek-- an emerging AI platform that makes ChatGPT look ancient! I asked it to outline a comprehensive roadmap for becoming a data analyst. What it said scared me (Spoiler: it basically copied my SPN Method)! Listen to NEXT: My interview with StatQuest! https://www.youtube.com/watch?v=nqtQUg4mZ9I 💌 Join 10k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com/interviewsimulator ⌚ TIMESTAMPS 00:00 - Introduction 01:05 - Skills 01:27 - Do you need a degree? DeepSeek answers 01:59 - Projects and portfolio 02:43 - Networking and job search strategies 04:55 - Interview preparation 10:15 - FindADataJob.com and PremiumDataJobs.com 11:30 - InterviewSimulator.io 🔗 CONNECT WITH AVERY 🎥 YouTube Channel: https://www.youtube.com/@averysmith 🤝 LinkedIn: https://www.linkedin.com/in/averyjsmith/ 📸 Instagram: https://instagram.com/datacareerjumpstart 🎵 TikTok: https://www.tiktok.com/@verydata 💻 Website: https://www.datacareerjumpstart.com/ Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

If your goal is to land a data job in 2026, this is your chance to get ahead of the competition and start strong.

👉 Join the December Cohort & Claim Your Bonuses: https://DataCareerJumpstart.com/daa https://www.datacareerjumpstart.com/daa

With AI agents and GPU acceleration at the forefront, data science is entering a new era of efficiency and innovation. How are AI copilots transforming the way data scientists code and solve problems? Are they a reliable partner or a source of new complexities? On the other hand, the move to GPU-accelerated data science tools is revolutionizing model training and experimentation. What does this mean for the future of data science workflows? Explore these cutting-edge developments and their impact on the industry. Jean-Francois got a PhD in machine learning in the previous millennium. Given the AI winter at the time, he worked for a while on mathematical optimization software as dev manager for CPLEX in a startup. He came back to Machine Learning when IBM acquired the startup. Since then he discovered Kaggle and became one of the best Kagglers in the world. He joined NVIDIA 5 years ago and leads the NVIDIA Kaggle Grandmaster team there. Chris Deotte is a senior data scientist at NVIDIA. Chris has a Ph.D. in computational science and mathematics with a thesis on optimizing parallel processing. Chris is a Kaggle 4x grandmaster. In the episode, Richie, Jean-Francois, and Chris explore the transformative role of AI agents in data science, the impact of GPU acceleration on workflows, the evolution of competitive data science techniques, the importance of model evaluation and communication skills, and the future of data science roles in an AI-driven world, and much more. Links Mentioned in the Show: NVIDIANVIDIA RapidsFew shot learningConnect with Jean-Francois on Linkedin and Kaggle and check out Chris on KaggleCourse: Winning a Kaggle Competition in PythonRelated Episode: Becoming a Kaggle GrandmasterSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

The cyclical momentum into year-end is losing some steam at the start of the year—how much so is debatable. Uncertainties around US policy are the key risks to the outlook. Looking through the range of Trump policy initiatives, the balance of risks looks to be tilting more negative—again, how much so is debatable. 

Speakers:

Bruce Kasman

Joseph Lupton

This podcast was recorded on 21 February 2025.

This communication is provided for information purposes only. Institutional clients please visit www.jpmm.com/research/disclosures for important disclosures. © 2025 JPMorgan Chase & Co. All rights reserved. This material or any portion hereof may not be reprinted, sold or redistributed without the written consent of J.P. Morgan. It is strictly prohibited to use or share without prior written consent from J.P. Morgan any research material received from J.P. Morgan or an authorized third-party (“J.P. Morgan Data”) in any third-party artificial intelligence (“AI”) systems or models when such J.P. Morgan Data is accessible by a third-party. It is permissible to use J.P. Morgan Data for internal business purposes only in an AI system or model that protects the confidentiality of J.P. Morgan Data so as to prevent any and all access to or use of such J.P. Morgan Data by any third-party.

--- Outgoing GovEx Executive Director Amy Edwards Holmes reflects on a momentous year for cities and data

--- While the characters in Dr. Strangelove, referenced in the title of this episode, grappled with the invention of the atomic bomb, cities in recent years have only tentatively explored the potential of artificial intelligence to benefit residents. As outgoing GovEx Executive Director Amy Edwards Holmes discusses in this episode, many cities pivoted in 2024 - with GovEx support - to develop thoughtful use cases for AI, based on solid data and comprehensive data strategies. As Holmes prepares to move on, she also discusses the progress GovEx has made in recent years and the crucial work that lies ahead.

--- Learn more about GovEx!

--- Fill out our listener survey!

S1 Ep#33 Bridging Business and Data: The Art of Data Product Management The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. 

In Season 01, Episode 33, Amritha, our newest host, chats with Sagar Nikam, Head of Product at CK Delta. Sagar shares his journey from finance to data product management, highlighting the art of translating complex AI/ML models into actionable business strategies. He discusses the challenges of defining data products, the importance of clear communication, and why adoption often outweighs accuracy. Sagar also offers insights on handling uncertainty, setting success metrics, and the cross-industry applicability of data product management skills. Tune in for a deep dive into making data-driven decisions that drive real business impact.

About our host Amritha Arun Babu: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha on LinkedIn.
About our guest Sagar Nikam: Sagar is the Head of Products at CKDelta, leading the development of AI-driven solutions, AI Agents, and intelligent applications that enhance decision-making and automation across industries. With experience in banking, utilities, and SaaS, he has successfully launched and scaled AI-powered products that drive real business impact. Sagar helps product teams seamlessly integrate AI, navigate challenges, and build solutions that are user-centric, explainable, and trusted. Connect with Sagar on LinkedIn.  

All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else. 

Join the conversation on LinkedIn. 

Apply to be a guest or nominate someone that you know. 

Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

The Data Product Management In Action podcast, brought to you by executive producer Scott Hirleman, is a platform for data product management practitioners to share insights and experiences. In this episode of Data Product Management in Action, we introduce our new host, Amritha Arun Babu! With over eight years of experience, Amritha shares her transition from engineering to product management and her impressive journey. She discusses scaling Amazon Today’s same-day delivery program, building code-to-cash products, and her current role at Klaviyo, where she’s shaping AI-driven features and refining ML platforms. Amritha emphasizes the value of understanding user needs, designing secure, scalable systems, and overcoming cross-functional challenges. Her advice to fellow product managers: network, share your experiences, and enjoy the ride! About our Host Amritha Arun Babu: Amritha is an accomplished Product Leader with over a decade of experience building and scaling products across AI platforms, supply chain systems, and enterprise workflows in industries such as e-commerce, AI/ML, and marketing automation. At Amazon, she led machine learning platform products powering recommendation and personalization engines, building tools for model experimentation, deployment, and monitoring that improved efficiency for 1,500+ ML scientists. At Wayfair, she managed international supply chain systems, overseeing contracts, billing, product catalogs, and vendor operations, delivering cost savings and optimizing large-scale workflows. At Klaviyo, she drives both AI infrastructure and customer-facing AI tools, including recommendation engines, content generation assistants, and workflow automation agents, enabling scalable and personalized marketing workflows. Earlier, she worked on enterprise systems and revenue operations workflows, focusing on cost optimization and process improvements in complex technical environments. Amritha excels at bridging technical depth with strategic clarity, leading cross-functional teams, and delivering measurable business outcomes across diverse domains. Connect with Amritha on LinkedIn. All views and opinions expressed are those of the individuals and do not necessarily reflect their employers or anyone else.  Join the conversation on LinkedIn.  Apply to be a guest or nominate someone that you know.  Do you love what you're listening to? Please rate and review the podcast, and share it with fellow practitioners you know. Your support helps us reach more listeners and continue providing valuable insights! 

Surface Lipids in Nematodes are Influenced by Development and Species-specific Adaptations

This research utilizes 3D-OrbiSIMS to analyze the surface lipids of nematodes, specifically Caenorhabditis elegans and Pristionchus pacificus, revealing their complex chemical compositions. Surface lipids are found to be developmentally dependent and species-specific, highlighting evolutionary adaptations. The study identifies that the peroxisomal β-oxidation pathway, particularly the enzyme DAF-22, is crucial for defining the surface molecular fingerprint and lipid metabolism. Furthermore, altered surface lipid composition in daf-22 mutants increases their susceptibility to predation, demonstrating the role of surface lipids in interspecies interactions and defense mechanisms. These findings enhance our understanding of nematode surface chemistry and its influence on behavior and survival.2025 AM Kotowska, F Hiramatsu, MR Alexander, DJ Scurr, JW Lightfoot, Veeren M Chauhan* “Surface Lipids in Nematodes are Influenced by Development and Species-specific Adaptations” JACShttps://pubs.acs.org/doi/10.1021/jacs.4c12519 This podcast is generated with artificial intelligence and curated by Veeren. If you’d like your publication featured on the show, please get in touch.

📩 More info: 🔗 www.veerenchauhan.com 📧 [email protected]

Things aren't great in the world of data practitioners. Lots of technical debt and lack of pride in one's craft. The pressure to do more with less only compounds this problem. And AI will make it far worse. If you think the amount of poorly made data architecture and models is bad now, I think we're in for another level very soon. With AI CoPilot on the rise, right as data skills and knowledge decline, I'm increasingly worried we'll offload our critical thinking and skills to AI. The outcome will be an ever expanding Great Pacific Garbage Patch of AI Data Slop.

Smarter resource allocation and timeline optimization.

Use AI to improve communication and collaboration.

AI-powered insights to keep you on track.

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. DataTopics Unpluggedis your go-to spot for relaxed discussions on tech, news, data, and society. This week, we’re unpacking everything from AI-powered vacations (or the lack thereof) to corporate drama, and even a deep dive into the quirks of COBOL. Join Morillo, Bart, and Alex as they navigate the latest happenings in data and tech, including: Airbnb AI: The CEO of Airbnb thinks AI trip planning is still a pipe dream. Is he right?Anthropic’s next AI model: A new Claude model could be just weeks away, promising a hybrid of deep reasoning and speed.OpenAI’s roadmap: Sam Altman lays out vague but ambitious plans, blurring the lines between AI models.Elon vs. OpenAI: Musk offers $97B for OpenAI, Altman claps back. Just another day in AI power struggles.RIP Viktor Antonov: The legendary art lead behind Half-Life 2 and Dishonored passes away at 52.Project Sid AI agents: 1,000 AI agents left to their own devices in Minecraft… What could go wrong?DeepSeek R1 breaks speed records: The latest AI model boasts a staggering 198 tokens per second.Perplexity’s Deep Research is now free: A game-changer for AI-powered search? We discuss.COBOL and the mystery of 1875-05-20: Why do old systems default to weird dates?Polars Cloud: A new distributed architecture to run Polars anywhere.Pickle AI avatars: Deepfake yourself into meetings. Ethical? Useful? Just plain weird?Vim after Bram: How the legendary text editor is surviving after its creator’s passing.Working Fast and Slow: A take on productivity, deep focus, and why some days just don’t work.We were wrong about GPUs: Fly.io admits they misjudged the demand for GPU-powered workloads.

Join Eric Broda and me for a fascinating discussion on the cutting edge of AI! We chat about the rapidly evolving world of AI agent ecosystems, exploring their potential to transform industries and reshape the future of work.Eric shares his hard won perspective on the challenges and opportunities facing consultancies in the age of AI, and why he believes AI agents could signal a significant shift in the consulting landscape. We also discuss the ins and outs of running a successful consultancy in today's dynamic market.Key topics covered:-The rise of AI agent ecosystems and their implications-How AI is disrupting the traditional consulting model-The future of consultancies in an AI-driven world-Insights into building and managing a successful consultancy-Whether you're an AI enthusiast, a consultant, or simply curious about the future of agents, this conversation with Eric Broda offers valuable insights and thought-provoking perspectives.#AIAgents#ArtificialIntelligence#Consulting#FutureOfWork#AI#Business#Innovation#Technology

Dashboards are everywhere in the data industry, but are they being used effectively? Many professionals find themselves creating dashboards that end up underutilized or misunderstood. The key is not just in the data presented, but in how it's communicated and used. How can you rethink your approach to dashboarding to ensure it aligns with business goals? What methods can you employ to engage users and drive meaningful actions? Lee is the President at DecisionViz, who provides training and consulting to organizations to improve their people, process, and culture around visualization and storytelling. He's a course creator for the University of Chicago, an instructor for TDWI, and an Adjunct Faculty Instructor for NYU School of Professional Studies. Lee is also a Tableau Certified Associate Consultant, 4 times Tableau Ambassador, and a long-term Tableau Partner. Previously, he was a Research Advisor for the International Institute of Analytics, the Founder of the 501c data community, and a senior manager at Nokia. In the episode, Richie and Lee explore the limitations of traditional dashboards, the importance of a product mindset in data visualization, the role of communication and standardization in analytics, the intersection of AI with dashboarding, and much more. Links Mentioned in the Show: DecisionVizConnect with LeeCourse: Understanding Data VisualizationRelated Episode: Data Storytelling and Visualization with Lea Pica from Present Beyond MeasureSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

In this episode, host Jason Foster is joined by Adam Elman, Director of Sustainability - EMEA, at Google.  

Together they explore defining sustainability from environmental, social and governance perspectives, and the role of AI in sustainability, including AI's potential to reduce global greenhouse gas emissions by up to 10% by 2030. 

They also discuss the future of sustainability and possibilities around technology's role in combating climate change, including advancements in clean energy and expanded AI applications.

*****   

Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023, and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. 

Tech talks on AI, GenAI, LLMs and machine learning.

Supported by Our Partners • WorkOS — The modern identity platform for B2B SaaS • CodeRabbit — Cut code review time and bugs in half • Augment Code — AI coding assistant that pro engineering teams love — How do you architect a live streaming system to deal with more load than it’s ever been done before? Today, we hear from an architect of such a system: Ashutosh Agrawal, formerly Chief Architect of JioCinema (and currently Staff Software Engineer at Google DeepMind.) We take a deep dive into video streaming architecture, tackling the complexities of live streaming at scale (at tens of millions of parallel streams) and the challenges engineers face in delivering seamless experiences. We talk about the following topics:  • How large-scale live streaming architectures are designed • Tradeoffs in optimizing performance • Early warning signs of streaming failures and how to detect them • Why capacity planning for streaming is SO difficult • The technical hurdles of streaming in APAC regions • Why Ashutosh hates APMs (Application Performance Management systems) • Ashutosh’s advice for those looking to improve their systems design expertise • And much more! — Timestamps (00:00) Intro (01:28) The world record-breaking live stream and how support works with live events (05:57) An overview of streaming architecture (21:48) The differences between internet streaming and traditional television.l (22:26) How adaptive bitrate streaming works (25:30) How throttling works on the mobile tower side  (27:46) Leading indicators of streaming problems and the data visualization needed (31:03) How metrics are set  (33:38) Best practices for capacity planning  (35:50) Which resources are planned for in capacity planning  (37:10) How streaming services plan for future live events with vendors (41:01) APAC specific challenges (44:48) Horizontal scaling vs. vertical scaling  (46:10) Why auto-scaling doesn’t work (47:30) Concurrency: the golden metric to scale against (48:17) User journeys that cause problems  (49:59) Recommendations for learning more about video streaming  (51:11) How Ashutosh learned on the job (55:21) Advice for engineers who would like to get better at systems (1:00:10) Rapid fire round — The Pragmatic Engineer deepdives relevant for this episode: • Software architect archetypes https://newsletter.pragmaticengineer.com/p/software-architect-archetypes  • Engineering leadership skill set overlaps https://newsletter.pragmaticengineer.com/p/engineering-leadership-skillset-overlaps  • Software architecture with Grady Booch https://newsletter.pragmaticengineer.com/p/software-architecture-with-grady-booch — See the transcript and other references from the episode at ⁠⁠https://newsletter.pragmaticengineer.com/podcast⁠⁠ — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email [email protected].

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Está no ar, o Data Hackers News !! Os assuntos mais quentes da semana, com as principais notícias da área de Dados, IA e Tecnologia, que você também encontra na nossa Newsletter semanal, agora no Podcast do Data Hackers !!

Aperte o play e ouça agora, o Data Hackers News dessa semana !

Para saber tudo sobre o que está acontecendo na área de dados, se inscreva na Newsletter semanal:

Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the broader push for AI agents to control computers, and the implications of massive AI infrastructure investments like Project Stargate. We also touch on Google’s overlooked AI advancements, the challenges of AI adoption, the potential of Replit’s mobile app for building apps with natural language, and much more. Links Mentioned in the Show: YouTube Tutorial: Fine Tune DeepSeek R1 | Build a Medical ChatbotOpenAI Deep ResearchOpen OperatorGemini 2.0Lex Fridman Podcast Episode on DeepSeekRemoving Barriers to American Leadership in Artificial IntelligencePresident's Council of Advisors on Science and TechnologyProject Stargate announcements from OpenAI, SoftbankSam Altman's quest for $7tnReplit Mobile AppSign up to attend RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business