Weekly talks and fireside chats about everything that has to do with the new space emerging around DevOps for Machine Learning aka MLOps aka Machine Learning Operations.
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AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // Matt van Itallie // #275
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Matt Van Itallie is the founder and CEO of Sema. Prior to this, they were the Vice President of Customer Support and Customer Operations at Social Solutions.AI-Driven Code: Navigating Due Diligence & Transparency in MLOps // MLOps Podcast #275 with Matt van Itallie, Founder and CEO of Sema.// AbstractMatt Van Itallie, founder and CEO of Sema, discu…
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PyTorch's Combined Effort in Large Model Optimization // Michael Gschwind // #274
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Dr. Michael Gschwind is a Director / Principal Engineer for PyTorch at Meta Platforms. At Meta, he led the rollout of GPU Inference for production services.// MLOps Podcast #274 with Michael Gschwind, Software Engineer, Software Executive at Meta Platforms.// AbstractExplore the role in boosting model performance, on-device AI processing, and colla…
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LLMs to agents: The Beauty & Perils of Investing in GenAI // VC Panel // Agents in Production
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//AbstractIn this segment, the Panel will dive into the evolving landscape of AI, where large language models (LLMs) power the next wave of intelligent agents. In this engaging panel, leading investors Meera (Redpoint), George (Sequoia), and Sandeep (Prosus Ventures) discuss the promise and pitfalls of AI in production. From transformative industry…
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We Can All Be AI Engineers and We Can Do It with Open Source Models // Luke Marsden // #273
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Luke Marsden, is a passionate technology leader. Experienced in consultant, CEO, CTO, tech lead, product, sales, and engineering roles. Proven ability to conceive and execute a product vision from strategy to implementation, while iterating on product-market fit.We Can All Be AI Engineers and We Can Do It with Open Source Models // MLOps Podcast #2…
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Exploring AI Agents: Voice, Visuals, and Versatility // Panel // Agents in Production
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//AbstractThis panel speaks about the diverse landscape of AI agents, focusing on how they integrate voice interfaces, GUIs, and small language models to enhance user experiences. They'll also examine the roles of these agents in various industries, highlighting their impact on productivity, creativity, and user experience and how these empower dev…
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The Impact of UX Research in the AI Space // Lauren Kaplan // #272
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Lauren Kaplan is a sociologist and writer. She earned her PhD in Sociology at Goethe University Frankfurt and worked as a researcher at the University of Oxford and UC Berkeley. The Impact of UX Research in the AI Space // MLOps Podcast #272 with Lauren Kaplan, Sr UX Researcher.// AbstractIn this MLOps Community podcast episode, Demetrios and UX re…
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EU AI Act - Navigating New Legislation // Petar Tsankov // MLOps Podcast #271
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Dr. Petar Tsankov is a researcher and entrepreneur in the field of Computer Science and Artificial Intelligence (AI).EU AI Act - Navigating New Legislation // MLOps Podcast #271 with Petar Tsankov, Co-Founder and CEO of LatticeFlow AI.Big thanks to LatticeFlow for sponsoring this episode!// AbstractDive into AI risk and compliance. Petar Tsankov, a…
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Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkpointing // Bernie Wu // #270
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Bernie Wu is VP of Business Development for MemVerge. He has 25+ years of experience as a senior executive for data center hardware and software infrastructure companies including companies such as Conner/Seagate, Cheyenne Software, Trend Micro, FalconStor, Levyx, and MetalSoft.Boosting LLM/RAG Workflows & Scheduling w/ Composable Memory and Checkp…
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How to Systematically Test and Evaluate Your LLMs Apps // Gideon Mendels // #269
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Gideon Mendels is the Chief Executive Officer at Comet, the leading solution for managing machine learning workflows.How to Systematically Test and Evaluate Your LLMs Apps // MLOps Podcast #269 with Gideon Mendels, CEO of Comet.// AbstractWhen building LLM Applications, Developers need to take a hybrid approach from both ML and SW Engineering best …
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Exploring the Impact of Agentic Workflows // Raj Rikhy // #268
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Raj Rikhy is a Senior Product Manager at Microsoft AI + R, enabling deep reinforcement learning use cases for autonomous systems. Previously, Raj was the Group Technical Product Manager in the CDO for Data Science and Deep Learning at IBM. Prior to joining IBM, Raj has been working in product management for several years - at Bitnami, Appdirect and…
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The Only Constant is (Data) Change // Panel // DE4AI
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//AbstractIf there is one thing that is true, it is data is constantly changing. How can we keep up with these changes? How can we make sure that every stakeholder has visibility? How can we create a culture of understanding around data change management?//Bio- Benjamin Rogojan: Data Science And Engineering Consultant @ Seattle Data Guy- Chad Sande…
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The AI Dream Team: Strategies for ML Recruitment and Growth // Jelmer Borst and Daniela Solis // #267
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The AI Dream Team: Strategies for ML Recruitment and Growth // MLOps Podcast #267 with Jelmer Borst, Analytics & Machine Learning Domain Lead, and Daniela Solis, Machine Learning Product Owner, of Picnic.// AbstractLike many companies, Picnic started out with a small, central data science team. As this grows larger, focussing on more complex models…
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Making Your Company LLM-native // Francisco Ingham // #266
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Francisco Ingham, LLM consultant, NLP developer, and founder of Pampa Labs.Making Your Company LLM-native // MLOps Podcast #266 with Francisco Ingham, Founder of Pampa Labs.// AbstractBeing an LLM-native is becoming one of the key differentiators among companies, in vastly different verticals. Everyone wants to use LLMs, and everyone wants to be on…
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Unpacking 3 Types of Feature Stores // Simba Khadder // #265
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Simba Khadder is the Founder & CEO of Featureform. He started his ML career in recommender systems where he architected a multi-modal personalization engine that powered 100s of millions of user’s experiences.Unpacking 3 Types of Feature Stores // MLOps Podcast #265 with Simba Khadder, Founder & CEO of Featureform.// AbstractSimba dives into how fe…
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Reinvent Yourself and Be Curious // Stefano Bosisio // MLOps Podcast #264
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Stefano Bosisio is an accomplished MLOps Engineer with a solid background in Biomedical Engineering, focusing on cellular biology, genetics, and molecular simulations.Reinvent Yourself and Be Curious // MLOps Podcast #264 with Stefano Bosisio, MLOps Engineer at Synthesia.// AbstractThis talk goes through Stefano's experience, to be an inspirational…
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Global Feature Store // Gottam Sai Bharath & Cole Bailey // #263
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Global Feature Store: Optimizing Locally and Scaling Globally at Delivery Hero // MLOps Podcast #263 with Delivery Hero's Gottam Sai Bharath, Senior Machine Learning Engineer & Cole Bailey, ML Platform Engineering Manager.// AbstractDelivery Hero innovates locally within each department to develop MLOps practices most effective in that particular c…
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RAG Quality Starts with Data Quality // Adam Kamor // #262
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Adam Kamor is the Co-founder of Tonic, a company that specializes in creating mock data that preserves secure datasets. RAG Quality Starts with Data Quality // MLOps Podcast #262 with Adam Kamor, Co-Founder & Head of Engineering of Tonic.ai.// AbstractDive into what makes Retrieval-Augmented Generation (RAG) systems tick—and it all starts with the …
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Who's MLOps for Anyway? // Jonathan Rioux // #261
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Jonathan Rioux is a Managing Principal of AI Consulting for EPAM Systems, where he advises clients on how to get from idea to realized AI products with the minimum of fuss and friction.Who's MLOps for Anyway? // MLOps Podcast #261 with Jonathan Rioux, Managing Principal, AI Consulting at EPAM Systems.// AbstractThe year is 2024 and we are all stari…
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Alignment is Real // Shiva Bhattacharjee // #260
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Shiva Bhattacharjee is the Co-founder and CTO of TrueLaw, where we are building bespoke models for law firms for a wide variety of tasks.Alignment is Real // MLOps Podcast #260 with Shiva Bhattacharjee, CTO of TrueLaw Inc.// AbstractIf the off-the-shelf model can understand and solve a domain-specific task well enough, either your task isn't that n…
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Ax a New Way to Build Complex Workflows with LLMs // Vikram Rangnekar // #259
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Vikram Rangnekar is an open-source software developer focused on simplifying LLM integration. He created LLMClient, a TypeScript library inspired by Stanford's DSP paper. With years of experience building complex LLM workflows, he previously worked as a senior software engineer at LinkedIn on Ad Serving.Ax a New Way to Build Complex Workflows with …
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Building in Production Human-centred GenAI Solutions // Mohamed Abusaid & Mara Pometti// #177
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MLOps Coffee Sessions #177 with Mohamed Abusaid and Mara Pometti, Building in Production Human-centred GenAI Solutions sponsored by QuantumBlack, AI by McKinsey.// AbstractTrust is paramount in the adoption of new technologies, especially in the realm of education. Mohamed and Mara shed light on the importance of AI governance programs and establis…
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Visualize - Bringing Structure to Unstructured Data // Markus Stoll // #258
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Markus Stoll is the Co-Founder of Renumics and the developer behind the open-source interactive ML dataset exploration tool, Spotlight. He shares insights on: AI in Engineering and Manufacturing Interactive ML Data Visualization ML Data Exploration Follow Markus for hands-on articles about leveraging ML while keeping a strong focus on data. Visuali…
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MLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community.// AbstractDemetrios explores common themes in ML model testing with insights from Erica Greene (Yahoo News), Matar Haller (ActiveFence), Mohamed Elgendy (Kolena), and Catherine Nelson (Freelance Data Scientist). They …
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MLSecOps is Fundamental to Robust AISPM // Sean Morgan // #257
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Sean Morgan is an active open-source contributor and maintainer and is the special interest group lead for TensorFlow Addons. Learn more about the platform for end-to-end AI Security at https://protectai.com/.MLSecOps is Fundamental to Robust AI Security Posture Management (AISPM) // MLOps Podcast #257 with Sean Morgan, Chief Architect at Protect A…
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MLOps for GenAI Applications // Harcharan Kabbay // #256
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Harcharan Kabbay is a Data Scientist & AI/ML Engineer with Expertise in MLOps, Kubernetes, and DevOps, Driving End-to-End Automation and Transforming Data into Actionable Insights. MLOps for GenAI Applications // MLOps Podcast #256 with Harcharan Kabbay, Lead Machine Learning Engineer at World Wide Technology.// AbstractThe discussion begins with a…
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BigQuery Feature Store // Nicolas Mauti // #255
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Nicolas Mauti is an MLOps Engineer from Lyon (France), Working at Malt.BigQuery Feature Store // MLOps Podcast #255 with Nicolas Mauti, Lead MLOps at Malt.// AbstractNeed a feature store for your AI/ML applications but overwhelmed by the multitude of options? Think again. In this talk, Nicolas shares how they solved this issue at Malt by leveraging…
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Design and Development Principles for LLMOps // Andy McMahon // #254
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Design and Development Principles for LLMOps // MLOps Podcast #254 with Andy McMahon, Director - Principal AI Engineer at Barclays Bank.A huge thank you to SAS for their generous support! // AbstractAs we move from MLOps to LLMOps we need to double down on some fundamental software engineering practices, as well as augment and add to these with som…
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Data Quality = Quality AI // AIQCON Panel
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// AbstractData is the foundation of AI. To ensure AI performs as expected, high-quality data is essential. In this panel discussion, Chad, Maria, Joe, and Pushkar hosted by Sam Partee will explore strategies for obtaining and maintaining high-quality data, as well as common pitfalls to avoid when using data for AI models.// Panelists- Samuel Parte…
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The Variational Book // Yuri Plotkin // #253
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Yuri Plotkin is a Biomedical Engineer and Machine Learning Scientist and the author of The Variational Book. The Variational Book // MLOps Podcast #253 with Yuri Plotkin, an ML Scientist.// AbstractCuriosity has been the underlying thread in Yuri's life and interests. With the explosion of Generative AI, Yuri was fascinated by the topic and decided…
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Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON
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// AbstractAttracting and retaining top AI talent is essential for staying competitive. This panel will explore crafting and communicating a compelling vision that aligns with the organization's evolving needs, inspiring potential hires and motivating current employees. The discussion will offer actionable strategies for sourcing top talent, adapti…
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Red Teaming LLMs // Ron Heichman // #252
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Ron Heichmn is an AI researcher specializing in generative AI, AI alignment, and prompt engineering. At SentinelOne, Ron actively monitors emerging research to identify and address potential vulnerabilities in our AI systems, focusing on unsupervised and scalable evaluations to ensure robustness and reliability. Harnessing AI APIs for Safer, Accura…
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Balancing Speed and Safety // Panel // AIQCON
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This is a panel taken from the recent AI quality Conference presented by the MLOps Community and Kolena // AbstractThe need for moving to production quickly is paramount in staying out of perpetual POC territory. AI is moving fast. Shipping features fast to stay ahead of the competition is commonplace. Quick iterations are viewed as strength in the…
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Reliable LLM Products, Fueled by Feedback // Chinar Movsisyan // #251
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Chinar Movsisyan is the co-founder and CEO of Feedback Intelligence (formerly Manot), an MLOps startup based in San Francisco. She has been in the AI field for more than 7 years from research labs to venture-backed startups. Reliable LLM Products, Fueled by Feedback // MLOps Podcast #250 with Chinar Movsisyan, CEO of Feedback Intelligence.// Abstra…
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A Blueprint for Scalable & Reliable Enterprise AI/ML Systems // Panel // AIQCON
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This is a Panel taken from the recent AI Quality Conference presented by the MLOps COmmunity and Kolena // AbstractEnterprise AI leaders continue to explore the best productivity solutions that solve business problems, mitigate risks, and increase efficiency. Building reliable and secure AI/ML systems requires following industry standards, an opera…
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AI Operations Without Fundamental Engineering Discipline // Nikhil Suresh // #250
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Nik Suresh wrote an evisceration of the current AI hype boom called "I Will F**king Piledrive You If You Mention AI Again."AI Operations Without Fundamental Engineering Discipline // MLOps Podcast #250 with Nikhil Suresh, Director @ Hermit Tech.// AbstractNik is on the podcast because of an anti-AI hype piece, so a reasonable thing to discuss is go…
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AI in Healthcare // Eric Landry // #249
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Eric Landry is a seasoned AI and Machine Learning leader with extensive expertise in software engineering and practical applications in NLP, document classification, and conversational AI. With technical proficiency in Java, Python, and key ML tools, he leads the Expedia Machine Learning Engineering Guild and has spoken at major conferences like Ap…
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Evaluating the Effectiveness of Large Language Models: Challenges and Insights // Aniket Singh // #248
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Aniket Kumar Singh is a Vision Systems Engineer at Ultium Cells, skilled in Machine Learning and Deep Learning. I'm also engaged in AI research, focusing on Large Language Models (LLMs).Evaluating the Effectiveness of Large Language Models: Challenges and Insights // MLOps Podcast #248 with Aniket Kumar Singh, CTO @ MyEvaluationPal | ML Engineer @ …
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Extending AI: From Industry to Innovation // Sophia Rowland & David Weik // #247
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Sophia Rowland is a Senior Product Manager focusing on ModelOps and MLOps at SAS. In her previous role as a data scientist, Sophia worked with dozens of organizations to solve a variety of problems using analytics. David Weik has a passion for data and creating integrated customer-centric solutions. Thinking data and people first to create value-ad…
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Detecting Harmful Content at Scale // Matar Haller // #246
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Matar Haller is the VP of Data & AI at ActiveFence, where her teams own the end-to-end automated detection of harmful content at scale, regardless of the abuse area or media type. The work they do here is engaging, impactful, and tough, and Matar is grateful for the people she gets to do it with. AI For Good - Detecting Harmful Content at Scale // …
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All Data Scientists Should Learn Software Engineering Principles // Catherine Nelson // #245
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Catherine Nelson is a freelance data scientist and writer. She is currently working on the forthcoming O’Reilly book "Software Engineering for Data Scientists”.Why All Data Scientists Should Learn Software Engineering Principles // MLOps podcast #245 with Catherine Nelson, a freelance Data Scientist.A big thank you to LatticeFlow AI for sponsoring …
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Meta GenAI Infra Blog Review // Special MLOps Podcast
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Meta GenAI Infra Blog Review // Special MLOps Podcast episode by Demetrios.// AbstractDemetrios explores Meta's innovative infrastructure for large-scale AI operations, highlighting three blog posts on training large language models, maintaining AI capacity, and building Meta's GenAI infrastructure. The discussion reveals Meta's handling of hundred…
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AI Agents for Consumers // Shaun Wei // #244
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Sean Wei, the CEO and co-founder of RealChar, shares his journey from working in the autonomous vehicle industry to creating an open-source voice assistant project called Realchar, which eventually evolved into Rivia, a voice AI assistant focused on managing personal phone calls.The Future of AI and Consumer Empowerment // MLOps podcast #244 with S…
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ML and AI as Distinct Control Systems in Heavy Industrial Settings // Richard Howes // #243
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Join us at our first in-person conference today all about AI Quality: https://www.aiqualityconference.com/ML and AI as Distinct Control Systems in Heavy Industrial Settings // MLOps podcast #243 with Richard Howes, CTO of Metaformed. Richard Howes is a dedicated engineer who is passionate about control systems whether it be embedded systems, indust…
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Accelerating Multimodal AI // Ethan Rosenthal // #242
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Accelerating Multimodal AI // MLOps podcast #241 with Ethan Rosenthal, Member of Technical Staff of Runway.Huge thank you to AWS for sponsoring this episode. AWS - https://aws.amazon.com/// AbstractWe’re still trying to figure out systems …
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Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // Boris Selitser // #241
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development // MLOps podcast #241 with Boris Selitser, Co-Founder and CTO/CPO of Okareo.A big thank you to LatticeFlow for sponsoring this episode! Lattic…
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How to Build Production-Ready AI Models for Manufacturing // [Exclusive] LatticeFlow Roundtable
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/MLOps Coffee Sessions Special episode with LatticeFlow, How to Build Production-Ready AI Models for Manufacturing, fueled by our Premium Brand Partner, LatticeFlow. Deploying AI models in manufacturing involves navigating several technical…
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From Robotics to Recommender Systems // Miguel Fierro // #240
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Miguel Fierro is a Principal Data Science Manager at Microsoft and holds a PhD in robotics. From Robotics to Recommender Systems // MLOps Podcast #240 with Miguel Fierro, Principal Data Science Manager at Microsoft.Huge thank you to Zilli…
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Uber's Michelangelo: Strategic AI Overhaul and Impact // #239
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Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast #239 with Demetrios Brinkmann. Huge thank you to Weights & Biases for sponsoring this episode. WandB Free Courses - http://wandb.me/courses_mlops// AbstractUber's Michelangelo platform has evolved significantly through three major phases, enhancing its capabilities from basic ML…
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AWS Tranium and Inferentia // Kamran Khan and Matthew McClean // #238
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/ Matthew McClean is a Machine Learning Technology Leader with the leading Amazon Web Services (AWS) cloud platform. He leads the customer engineering teams at Annapurna ML helping customers adopt AWS Trainium and Inferentia for their Gen A…
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Build Reliable Systems with Chaos Engineering // Benjamin Wilms // #237
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Join us at our first in-person conference on June 25 all about AI Quality: https://www.aiqualityconference.com/. Benjamin Wilms is a developer and software architect at heart, with 20 years of experience. He fell in love with chaos engineering. Benjamin now spreads his enthusiasm and new knowledge as a speaker and author – especially in the field o…
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