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. // Abstract In this MLOps Community podcast episode, Demetrios and UX researcher Lauren Kaplan explore how UX research can transform AI and ML projects by aligning insights with business goals and enhancing user and deve...
Nov 13, 2024•1 hr 8 min•Transcript available on Metacast 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! // Abstract Dive into AI risk and compliance. Petar Tsankov, a leader in AI safety, talks about turning complex regulations into clear technical requirements and the importance of benchmarks in AI compliance,...
Nov 01, 2024•59 min•Transcript available on Metacast 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 Checkpointing // MLOps Podcast #270 with Bernie Wu, VP Strategic Partnerships/Business Development of MemVerge. // Abstract Limited memory capacity hi...
Oct 22, 2024•55 min•Transcript available on Metacast 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. // Abstract When building LLM Applications, Developers need to take a hybrid approach from both ML and SW Engineering best practices. They need to define eval metrics and track their entire experimentation to see what is and is not working. They also need to define com...
Oct 18, 2024•1 hr 2 min•Transcript available on Metacast 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 Salesforce. // MLOps Podcast #268 with Raj Rikhy, Principal Product Manager at Microsoft. // Abstract In this MLOps Community podcast, Demetrios chat...
Oct 15, 2024•51 min•Transcript available on Metacast //Abstract If 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 Sanderson: CEO & Co-Founder @ Gable - Christophe Blefari: CTO & Co-founder @ NAO - Maggie Hays: Founding Community Product Manager, DataHub @ A...
Oct 11, 2024•41 min•Transcript available on Metacast 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. // Abstract Like many companies, Picnic started out with a small, central data science team. As this grows larger, focussing on more complex models, it questions the skillsets & organisational set up. Use an ML platform, or build ourselves? A central team vs. embedded? Hire data scienti...
Oct 09, 2024•59 min•Transcript available on Metacast 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. // Abstract Being 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 top of the current tech but - what does it really mean to be LLM-native? LLM-native involves two ends of a spectrum. On the one hand, we have th...
Oct 06, 2024•58 min•Transcript available on Metacast 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. // Abstract Simba dives into how feature stores have evolved and how they now intersect with vector stores, especially in the world of machine learning and LLMs. He breaks d...
Oct 01, 2024•1 hr 8 min•Transcript available on Metacast 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. // Abstract This talk goes through Stefano's experience, to be an inspirational source for whoever wants to jump on a career in the MLOps sector. Moreover, Stefano will also introduce his MLOps Course on the MLOps communit...
Sep 27, 2024•57 min•Transcript available on Metacast 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. // Abstract Delivery Hero innovates locally within each department to develop MLOps practices most effective in that particular context. We also discuss our efforts to reduce redundancy and inefficiency across the company. Hear about our experiences in creating multipl...
Sep 24, 2024•50 min•Transcript available on Metacast 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. // Abstract Dive into what makes Retrieval-Augmented Generation (RAG) systems tick—and it all starts with the data. We’ll be talking with an expert in the field who knows exactly how to transform messy, unstructured enterprise data into high-quality fue...
Sep 20, 2024•1 hr•Transcript available on Metacast 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. // Abstract The year is 2024 and we are all staring into the cliff towards the abyss of disillusionment for Generative AI. Every organization, developer, and AI-adjacent individual is now tal...
Sep 17, 2024•1 hr 10 min•Transcript available on Metacast 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. // Abstract If the off-the-shelf model can understand and solve a domain-specific task well enough, either your task isn't that nuanced or you have achieved AGI. We discuss when is fine-tuning necessary over prompting and how we have created a loop of sampling - collecti...
Sep 13, 2024•40 min•Transcript available on Metacast 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 LLMs // MLOps Podcast #259 with Vikram Rangnekar, Software Engineer at Stealth. // Abstract Ax is a new way to build complex workflows with LLMs....
Sep 11, 2024•53 min•Transcript available on Metacast MLOps Coffee Sessions #177 with Mohamed Abusaid and Mara Pometti, Building in Production Human-centred GenAI Solutions sponsored by QuantumBlack, AI by McKinsey . // Abstract Trust 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 establishing AI governance boards to ensure safe and ethical use of technology while managing associated risks. They discuss the impact on customers, poten...
Sep 05, 2024•1 hr 3 min•Transcript available on Metacast 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. Visualize - Bringing Structure to Unstructured Data // MLOps Podcast #258 with Markus Stoll, CTO of Renumics. A huge thank you to SAS for their generous supp...
Sep 03, 2024•51 min•Transcript available on Metacast MLOps for GenAI Applications // Special MLOps Podcast episode with Demetrios Brinkmann, Chief Happiness Engineer at MLOps Community. // Abstract Demetrios 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 discuss tiered test cases, functional testing for hate speech, differences between AI and traditional software testing, and the complexities of eval...
Sep 01, 2024•10 min•Transcript available on Metacast 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 AI. // Abstract MLSecOps, which is the practice of integrating security practices into the AIML lifecycle (think infusing MLOps with DevSecOps practi...
Aug 30, 2024•43 min•Transcript available on Metacast 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. // Abstract The discussion begins with a brief overview of the Retrieval-Augmented Generation (RAG) framework, highlighting its significance in enhancing AI capabilities by combining r...
Aug 27, 2024•1 hr 7 min•Transcript available on Metacast 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. // Abstract Need 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 the tools they already had in place. From ingestion to training, Nicolas provides insights on how to transform BigQuery into an effective feature...
Aug 23, 2024•51 min•Transcript available on Metacast 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! // Abstract As 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 some new techniques. In this case, let's talk about this! // Bio Andy is a Principal AI Engineer, working in the new AI Center of Excellence at Bar...
Aug 20, 2024•1 hr 10 min•Transcript available on Metacast // Abstract Data 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 Partee: Principal Applied AI Engineer @ Redis - Chad Sanderson: CEO & Co-Founder @ Gable - Joe Reis: CEO/Co-Founder @ Ternary Data - Maria Zhang: CE...
Aug 16, 2024•27 min•Transcript available on Metacast 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. // Abstract Curiosity 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 he needed to learn more. Yuri pursued learning by reading, deriving, and understanding seminal papers within the last generation. The endeavor...
Aug 13, 2024•56 min•Transcript available on Metacast // Abstract Attracting 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, adapting to changing needs, and maintaining company alignment. Attendees will learn best practices for attracting AI professionals, creating an attract...
Aug 09, 2024•31 min•Transcript available on Metacast Ron Heichmn is an AI researcher specializing in generative AI, AI alignment, and prompt engineering. At SentinelOn e , 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, Accurate, & Reliable Applications // MLOps Podcast #252 with Ron Heichman, Machine Learning Engineer at SentinelOne. // Abstract Integrating AI APIs e...
Aug 06, 2024•1 hr 10 min•Transcript available on Metacast This is a panel taken from the recent AI quality Conference presented by the MLOps Community and Kolena // Abstract The 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 startup ecosystem, especially when taking on a deeply entrenched competitor. Each week a new method to improve your AI system becomes popular or a S...
Aug 02, 2024•36 min•Transcript available on Metacast 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. // Abstract We live in a world driven by large language models (LLMs) and generative AI, but ensuring they are ready for real-world deployment is crucial. De...
Jul 30, 2024•49 min•Transcript available on Metacast This is a Panel taken from the recent AI Quality Conference presented by the MLOps COmmunity and Kolena // Abstract Enterprise 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 operating framework, and best practices that can accelerate and streamline the scalable architecture that can produce expected business outcomes. This ses...
Jul 26, 2024•36 min•Transcript available on Metacast 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. // Abstract Nik is on the podcast because of an anti-AI hype piece, so a reasonable thing to discuss is going to be what most companies are getting wrong when non-technical management wants to immediately roll out ML initiatives, but are unwil...
Jul 23, 2024•49 min•Transcript available on Metacast 
