Demetrios

MLOps.community

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

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6. jul. 2026

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Episoder

The Real E2E RAG Stack // Sam Bean, Rewind AI // #217 08.03.2024

Thank you to Zilliz, our wonderful sponsors of this episode create some amazing stuff with Zilliz RAG - https://zilliz.com/vector-database-use-cases/llm-retrieval-augmented-generation Sam Bean is a seasoned AI and machine learning expert, specializing in Large Language Models (LLMs) and search tech. With a computer science background and a drive for innovation, Sam leads the team at Rewind AI in l...

Managing Data for Effective GenAI Application // Anu Arora and Anass Bensrhir // #215 05.03.2024

Anass Bensrhir is the Associate Partner of McKinsey & Company, Casablanca. Anu Arora is the Principal Data Engineer at McKinsey & Company. Check out mckinsey.com/quantumblack MLOps podcast #214 with QuantumBlack AI by McKinsey's Principal Data Engineer, Anu Arora and Associate Partner, Anass Bensrhir, Managing Data for Effective GenAI Application, brought to you by our Premium Brand Pa...

Becoming an AI Evangelist // Alex Volkov // #215 01.03.2024

Alex Volkov serves as the AI Evangelist with Weights & Biases , Host of ThursdAI , Founder and CEO of Targum, and AI Consultant GPU POOR Def. not an owl. MLOps podcast #215 with Alex Volkov, AI Evangelist at Weights & Biases, Becoming an AI Evangelist. // Abstract Follow Alex's journey into the world of AI, from being interested in running his first AI models to founding an AI startup,...

LLM Use Cases in Production // AI in Production Conference // Panel 1 28.02.2024

// Abstract From startups achieving significant value with minor capabilities to AI revolutionizing sales calls and raising sales by 30%, we explore a series of interesting real-world use cases. Understanding the objectives and complexities of various industries, exploring the challenges of launching products, and highlighting the vital integration of the human touch with technology, this episode...

Information Retrieval & Relevance // Daniel Svonava // #214 24.02.2024

Daniel Svonava is the Co-Founder of Superlinked . Daniel Svonava attended the Faculty of Informatics and Information Technologies at the Slovak University of Technology. MLOps podcast #214 with Daniel Svonava, CEO & Co-founder at Superlinked, Information Retrieval & Relevance: Vector Embeddings for Semantic Search // Abstract In today's information-rich world, the ability to retrieve r...

Evaluating and Integrating ML Models // Morgan McGuire and Anish Shah // #213 21.02.2024

Morgan McGuire has held a variety of roles in the past 13 years. In 2008, he completed a Research Internship at Queen Mary, University of London. Currently, he is the Head of Growth ML and Growth ML Engineer at Weights & Biases. Anish Shah has been working in the tech industry since 2015. In 2015, he was a Technical Support at Fox School of Business at Temple University. In 2021, he was an MLO...

Data Governance and AI // Alexandra Diem // #212 16.02.2024

Alexandra Diem, PhD , has extensive experience in the field of AI, machine learning, and cloud analytics. Alexandra currently holds the position of Head of Cloud Analytics and MLOps at Gjensidige . Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are...

Ads Ranking Evolution at Pinterest // Aayush Mudgal // #211 13.02.2024

Aayush Mudgal  is a Senior Machine Learning Engineer at  Pinterest , currently leading the efforts around Privacy-Aware Conversion Modeling. Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency re...

LLM Evaluation with Arize AI's Aparna Dhinakaran // #210 09.02.2024

Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use ca...

Powering MLOps: The Story of Tecton's Rift // Matt Bleifer & Mike Eastham // #209 06.02.2024

Matt Bleifer is a Group Product Manager at Tecton, where he focuses on the core product experience, such as building, testing, and productionizing feature pipelines at scale. Michael Eastham works as a Chief Architect at Tecton, which is a Business Intelligence (BI) Software company with an estimated 100 employees. Large Language Models have taken the world by storm. But what are the real use case...

[Exclusive] QuantumBlack Round-table // Gen AI Buy vs Build, Commercial vs Open Source 02.02.2024

Join our virtual conference 'AI in Production' Transform faster. Innovate smarter. Anticipate the future. At QuantumBlack, we unlock the power of artificial intelligence (AI) to help organizations reinvent themselves from the ground up—and accelerate sustainable and inclusive growth . MLOps Coffee Sessions Special episode with QuantumBlack, AI by McKinsey, GenAI Buy vs Build, Commercial vs...

Micro Graph Transformer Powering Small Language Models // Jon Cooke // #208 30.01.2024

Jon Cooke is the owner/founder of Dataception, a Data, Analytics, and Data Product company, and the creator of the Data Product Pyramid, an adaptive Data Product operating model. MLOps podcast #208 with Jon Cooke, CTO of Dataception, Micro Graph Transformer - Specialist Small Language Models Using Graphs to Accelerate Data Product Eco-systems. // Abstract Specialist deconstructed Encoder/Decoder T...

How Data Platforms Affect ML & AI // Jake Watson // #207 26.01.2024

Jake Watson is the writer of thedataplatform.substack.com ⁠ and Principal Data Engineer at The Oakland Group. MLOps podcast #207 with Jake Watson, Principal Data Engineer at The Oakland Group, How Data Platforms Affect ML & AI. // Abstract I’ve always told my clients and colleagues that traditional rule-based software is difficult, but software containing Artificial Intelligence (AI) and/or Ma...

RAG Has Been Oversimplified // Yujian Tang // #206 23.01.2024

Yujian is working as a Developer Advocate at Zilliz , where they develop and write tutorials for proof of concepts for large language model applications. They also give talks on vector databases, LLM Apps, semantic search, and tangential spaces. MLOps podcast #206 with Yujian Tang, Developer Advocate at Zilliz, RAG Has Been Oversimplified, brought to us by our Premium Brand Partner, Zilliz // Abst...

The Myth of AI Breakthroughs // Jonathan Frankle // #205 19.01.2024

Jonathan Frankle works as Chief Scientist (Neural Networks) at  MosaicML  (recently  acquired  by  Databricks ), a startup dedicated to making it easy and cost-effective for anyone to train large-scale, state-of-the-art neural networks. He leads the research team. MLOps podcast #205 with Jonathan Frankle, Chief Scientist (Neural Networks) at Databricks, The Myth of AI Breakthroughs, co-hosted by D...

MLOps at the Crossroads // Patrick Barker & Farhood Etaati // #204 16.01.2024

Patrick Barker is the Founder / CTO of Kentauros AI. Farhood Etaati is a Software Engineer at Yektanet . MLOps podcast #204 with Patrick Barker, CTO of Kentauros AI and Farhood Etaati, MLOps/Platform Team Lead at AIMedic, MLOps at the Crossroads. // Abstract MLOps is at a crossroads. The ever-increasing excitement for LLMs' ability to solve some interesting real-world problems has made many pe...

Pioneering AI Models for Regional Languages // Aleksa Gordić // #203 12.01.2024

Aleksa Gordić is an ex-Google DeepMind / Microsoft ML engineer currently working on non-English LLMs at OrtusAI, open-sourcing Meta's NLLB (no language left behind) project and YugoGPT. MLOps podcast #203 with Aleksa Gordić, Founder of OrtusAI, Pioneering AI Models for Regional Languages. // Abstract Dive deep into Aleksa's work with the YugoGPT, a language model serving Serbian, Croatian,...

Small Data, Big Impact: The Story Behind DuckDB // Hannes Mühleisen & Jordan Tigani // #202 09.01.2024

Prof. Dr. Hannes Mühleisen is a creator of the  DuckDB  database management system and Co-founder and CEO of  DuckDB Labs . Jordan Tigani is co-founder and chief duck-herder at MotherDuck , a startup building a serverless analytics platform based on DuckDB. MLOps podcast #202 with Hannes Mühleisen, Co-Founder & CEO of DuckDB Labs and Jordan Tigani, Chief Duck-Herder at MotherDuck, Small Data,...

Language, Graphs, and AI in Industry // Paco Nathan // #201 05.01.2024

Paco Nathan is the Managing Partner at Derwen, Inc., and author of  Latent Space , along with other books, plus popular videos and tutorials about machine learning, natural language, graph technologies, and related topics. MLOps podcast #201 with Paco Nathan, Managing Partner at Derwen, Inc., Language, Graphs, and AI in Industry. // Abstract Let's talk about key findings from these conferences...

Founding, Funding, and the Future of MLOps // Mihail Eric // #200 02.01.2024

Mihail Eric is an engineer, researcher, and educator who has helped start teams at innovative organizations such as Amazon Alexa and RideOS. Mihail is a cofounder of Storia AI, where they build an AI-powered creative assistant for fast and delightful image and video generation. MLOps podcast #200 with Mihail Eric, Co-founder of Storia AI, Founding, Funding, and the Future of MLOps. // Abstract Dem...

Challenges Operationalizing ML (And Some Solutions) // Nathan Ryan Frank // #199 29.12.2023

Nathan Ryan Frank is the Machine Learning Operations and Platform Director of Grainger. Former Astrophysicist turned data scientist and machine learning engineer with a proven history of delivering results into production across a wide variety of domains while leading projects with international, cross-functional teams. MLOps podcast #199 with Nathan Ryan Frank, Director, Machine Learning Platform...

Inferring Creativity // Nick Hasty // #198 26.12.2023

Nick Hasty  is the Director of Product, Discovery & Machine Learning at  Giphy , an animated-gif search engine that allows users to search, share, and discover GIFs. MLOps podcast #198, Inferring Creativity. // Abstract Generative AI models have captured our imaginations with their ability to produce new "creative" works such as visually striking images, poems, stories, etc, and thei...

The Role of Infrastructure in ML // Niels Bantilan // #197 22.12.2023

MLOps podcast #197 with Niels Bantilan, Chief Machine Learning Engineer at Union, The Role of Infrastructure in ML Leveraging Open Source, brought to us by Union. // Abstract When we start out building and deploying models in a new organization, life is simple: all I need to do is grab some data, iterate on a model that fits the data well, and perform reasonably well on some held-out test set. The...

LLMs in Focus: From One-Size Fits All to Verticalized Solutions // Venky Ganti & Laurel Orr // #196 19.12.2023

Laurel Orr is a Principal Engineer at Numbers Station, a startup that applies Foundation Model technology to the enterprise data stack. Venky Orr is SVP of Product & Engineering. MLOps podcast #196 with Numbers Station's Venky Ganti, SVP, Product & Engineering, and Principal Engineer, Laurel Orr, LLMs in Focus: From One-Size Fits All to Verticalized Solutions. // Abstract Dive into the...

[Exclusive] Weights & Biases Round-table // Model Management in a Regulated Environment 15.12.2023

MLOps Coffee Sessions Special episode with Weights & Biases, Model Management in a Regulated Environment, fueled by our Premium Brand Partner, Weights & Biases . // Abstract Step into the fascinating world of Language Model Management (LLMs) in a Regulated Environment! Join us for an enlightening chat where we'll explore the intricacies of managing models within highly regulated settin...

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