Shows
MLOps Weekly PodcastMLOps Week 32: MLOps and Feature Stores in 2025 with Ben EpsteinJoin us for special episode of the MLOps Weekly Podcast, an hour long chat with Ben Epstein, MLE at Evolution IQ and co-host of the bi-weekly MLOps Community Virtual meetups, and Featureform CEO Simba Khadder as they reflect on the key developments in MLOps throughout 2024 and look at what trends and challenges to anticipate in 2025! The discussion will center around the integration of Large Language Models (LLMs) and their substantial influence on both MLOps and LLMOps methodologies.Key topics include:Best practices and cutting-edge architectures in MLOpsWhere MLOps meets LLMOps: key trends and areas...2025-02-1152 min
The Joe Reis ShowSimba Khadder - Feature Stores, Reinforcement Learning, and MoreSimba Khadder (CEO of FeatureForm) joins me to chat about feature stores, reinforcement learning, surfing, and much more. 2025-01-0252 min
Talking AIGenerative AI Is Not an Island: ML’s Core PrinciplesGenerative AI may feel like the new kid on the block, but it's not as different from traditional machine learning as you might think.In this episode of Talking AI, we’re joined by Simba Khadder, Co-Founder & CEO of Featureform, and Omar Shanti, CTO of Hatchworks AI, to discuss how generative AI builds upon established ML principles and infrastructure. We explore the misconception that it exists as its own little island, when in reality, we see a clear continuity between classic ML and newer AI technologies.Simba and Omar break down the unique aspects of Ge...2024-10-1544 min
MLOps.communityUnpacking 3 Types of Feature Stores // Simba Khadder // #265Simba 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 down what embeddings are, how they power recommender systems, and why personalization is key to improving LLM prompts. Simba also sheds light on the difference be...2024-10-011h 07
MLOps Weekly PodcastMLOps Week 31: Bridging Software Engineering and MLOps with Paul lusztin of Decoding MLIn this episode of the "MLOps Weekly" podcast, host Simba Khadder talks with Paul Iusztin, a Senior ML and MLOps Engineer at Decoding ML, about his journey from software engineering to MLOps. They discuss the integration of software engineering principles in ML, the challenges of writing tests for ML applications, and the key differences between software and ML engineering. Paul shares insights on building scalable and reproducible MLOps platforms, emphasizing the importance of decoupling feature, training, and inference pipelines. They also explore the convergence of MLOps and LLMOps, highlighting the unique aspects of prompt engineering. The conversation underscores the...2024-08-0132 min
MLOps Weekly PodcastMLOps Week 30 - From Recession to Al Boom: Venture Capital Perspectives with Gautam KrishnamurthiFor the latest episode of the MLOps Weekly Podcast, join host Simba Khadder as he chats with Gautam Krishnamurthi, partner at Great Point Ventures, about the rapidly evolving world of AI and its impacts on the future of venture capital investing. They also discuss the latest trends in large language models (LLMs), venture valuations, and the impact of rising interest rates on the public markets. Gautam provides his expertise on identifying real enterprise use cases, distinguishing valuable startups amidst the noise, and the critical role of infrastructure in the machine learning landscape. Lastly, you’ll learn about the transformative po...2024-07-0426 min
MLOps Weekly PodcastMLOps Week 29: Building the Future of ML Platforms with Ketan UmareJoin Featureform’s Founder and CEO, Simba Khadder, and Union CEO and co-founder, Ketan Umare, as they delve into Ketan’s journey, starting with leading the ETA models team at Lyft, the origins and evolution of Flyte, an ML workflow platform, and his latest venture, Union. The discussion also covers the importance of collaboration in AI, the future of traditional machine learning in the era of LLMs, and the potential disruptions in the software industry. Whether you're a data scientist, engineer, or AI enthusiast, this episode offers valuable perspectives on building scalable ML infrastructures and navigating the rapidly changing land...2024-05-3031 min
MLOps Weekly PodcastMLOps Week 28: Featureform's CEO Breaks Down "Real-Time" Machine LearningThis episode of our MLOps Weekly Podcast features Simba Khadder, Featureform’s CEO, where he unravels the true meaning of “real-time” machine learning. The discussion breaks down real-time ML into three core aspects: latency, online serving, and real-time features. Simba also covers:How latency impacts the speed of ML systemsThe distinctions between online and offline modelsReal-time features and the importance of a balance between data freshness and latencyThis podcast will give listeners a better understanding of these concepts and apply them to their own ML projects.2024-03-2818 min
MLOps Weekly PodcastMLOps Week 27: Unveiling AI's Infrastructure Evolution with Outerbound’s CEOIn this episode of the MLOps Weekly Podcast, Featureform CEO Simba Khadder and Outerbounds CEO Ville Tuulos engage in a fascinating conversation about the evolution of ML and AI infrastructure, focusing on the inception and development of Metaflow at Netflix, its impact on machine learning operations, and the establishment of Outerbounds. The discussion delves into the challenges and solutions in ML operations, offering insights into the future of artificial intelligence applications in business and beyond. They also deep dive into the innovative approaches to scaling ML projects, emphasizing practicality and efficiency in the fast-evolving tech landscape.2024-02-2931 min
MLOps Weekly PodcastMLOps Week 26: Product and Data Team Collaboration with Chinar MovsisyanThis episode of the MLOps Weekly Podcast delves into the intricate journey from academic research in AI to its practical application in industry, highlighting the challenges of bridging theoretical concepts with real-world solutions. CEO and founder of Manot, Chinar Movsisyan, and Featureform CEO Simba Khadder discuss the evolution of MLOps practices, emphasizing the importance of collaboration across diverse teams to innovate and scale AI technologies. Through engaging stories and insights, listeners are offered a deep dive into the strategies for deploying, managing, and improving machine learning models, showcasing the critical role of MLOps in advancing AI's impact in various...2024-02-1529 min
MLOps Weekly PodcastMLOps Week 25: AI Security & Governance with Sahil AgarwalIn this episode, we delve into the evolving landscape of AI with Sahil Agarwal, Enkrypt AI's CEO, focusing on the paramount importance of security, privacy, and governance. Through a discussion rich with insights, we uncover the strategies and challenges faced by organizations in safeguarding data and ethical considerations in AI deployment. The conversation highlights innovative solutions and the critical need for robust frameworks to navigate the complexities of AI integration in our digital age, emphasizing the balance between innovation and ethical responsibility.2024-02-0227 min
MLOps Weekly PodcastMLOps Week 24: Navigating the MLOps Landscape: Insights from Valohai's CEOIn this episode of MLOps Weekly, host Simba Khadder engages with Eero Laaksonen, CEO of Valohai, to explore the intricacies of end-to-end MLOps platforms. They discuss the challenges and solutions in machine learning operations, delving into topics like proprietary vs. open-source tools, operational efficiency, and the evolving role of large language models in the MLOps domain.2024-01-1130 min
MLOps Weekly PodcastMLOps Week 23: Data Quality & The Future of DataOps with Maxim LukichevFor Episode 23 of the MLOps Weekly Podcast, Simba chats with Maxim Lukichev, Co-founder and CTO at Telmai. They discuss the importance of a proactive approach to data quality, improving collaboration on data teams, and the critical value of Data Ops in Large Language Models. 2023-11-1427 min
Working PeopleA Three-Minute Message from Gaza (w/ Mohamed el Saife)More than 10,000 Palestinians have been killed in Israel's retaliatory assault on Gaza in the past month, including thousands of women, children, and elderly, according to the Palestinian Ministry of Health. The real number is likely much higher… we don’t know how many people, dead and alive, are under the rubble right now. But we do know that the bombs continue to fall, every day, at rates unseen in this century. This is an absolute nightmare. For the past month, we have been trying every single day to make contact with Palestinians in Gaza and the West Bank...2023-11-1108 min
Weaviate PodcastSimba Khadder on FeatureForm - Weaviate Podcast #74!Hey everyone! Thank you so much for watching the 74th Weaviate Podcast feature Simba Khadder, the CEO and Co-Founder of FeatureForm! To begin, "features" broadly describe the inputs to machine learning models that they use to produce outputs, or predictions. Feature stores orchestrate the construction of features, whether that be transformations for tabular machine learning models such as XGBoost, to chunking for vector embedding inference, and now features for LLM inference in RAG. Right out of the gate, Simba really opened my eyes to the role that feature engineering plays in RAG. Further touching on this at the very...2023-11-0756 min
DevZen PodcastЖизнь с FeatureForm — Episode 446
В этом выпуске: трем про базы данных, 3D-печать, а также про игры и Node.js.
Шоуноты:
[00:01:16] Чему мы научились за неделю
[00:22:13] FeatureForm: Feature Store Architectures & Technical Challenges (Simba Khadder)
[00:36:05] CMU Query Optimizers playlist. Snowflake vs Dremio
Query Optimization at Snowflake (Jiaqi Yan, SnowflakeDB) — YouTube
Query Optimization and Acceleration at Dremio (Steven Phillips + Vivekanand Vellanki) — YouTube
Database Query Optimizers — YouTube
[00:57:50] PgBouncer 1.21.0 — "The one with prepared statements"
[01:01:18] [Одной строкой] Update the documentation on recovering from (M)XID exhaustion
git.postgresql.org Git — postgresql.git/commit
git.postgresql.org Git — postgresql.git/commitdiff
[01:06:25] #темы446
[01:13:36] [GameZen] Tunic
КДПВ: Вася Ложкин.
Лог чата в Telegram.
Голоса выпуска: Валера и Саша.
Фоновая музыка: Plastic3 — Corporate Rock Motivation Loop 4
2023-10-231h 25
MLOps Weekly PodcastMLOps Week 22: Decoding RAG and Embeddings with Demetrios BrinkmannFor Episode 22 of the MLOps Weekly Podcast, Simba sits down with Demetrios Brinkmann, Founder of MLOps Community. They dive deep into the world of embeddings, vector databases, and why AI sometimes feels like ordering too much avocado toast. Tune in for a blend of MLOps wisdom, a sprinkle of humor, and a dash of existential AI crisis!2023-09-1240 min
Secrets of Data Analytics LeadersCollaboration Podcast: The Future of ML Governance and Data Management with Kevin PetrieSimba Khadder and Kevin Petrie discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.2023-08-0225 min
MLOps Weekly PodcastMLOps Week 21: The Future of ML Governance and Data Management with Kevin PetrieFor episode 21 of the MLOps Weekly Podcast, Simba Khadder and Kevin Petrie, VP of Research at Eckerson Group, delve into the challenges and opportunities of integrating MLOps in traditional enterprises. They discuss strategies to overcome technical debt in implementation, the pivotal role of data in the success of ML projects, navigating regulatory compliance in machine learning, and the future of AI governance.2023-07-2527 min
The 1.01 Podcast#9 Simba KhadderCofounder/CEO of FeatureForm Simba Khadder, discusses the virtual feature store, balancing building open source while catering to enterprise customers and the impact the 80:20 rule has had in propelling his career forward.Follow Wilson on Twitter at: https://twitter.com/WilsonLimSetFollow Simba on LinkedIn at: https://www.linkedin.com/in/simba-k/Featureform - https://www.featureform.com/Show Notes00:35 Leaving dream job at Google for entrepreneurship05:50 Working with Embeddings at first startup Triton09:15 Founding story of Featureform 13:30 What is Featureform16:50 The Virtual Feature Store 20:20 Building Opensource bu...2023-07-2142 min
MLOps Weekly PodcastMLOps Week 20: Reducing Friction on Data Teams with Harry GlaserOn Week 19 of the MLOps Weekly Podcast, Simba sits down with Modelbit Co-founder and CEO, Harry Glaser, to discuss the evolving landscape of data science roles, the friction between different data teams, and the importance of prioritizing organizational and workflow problems when building MLOps tools with impact.2023-07-2036 min
The Data Stack Show144: Explaining Features, Embeddings, and the Difference Between ML and AI with Simba Khadder of FeatureformHighlights from this week’s conversation include:Simba’s background in the data space (3:05)Subscription intelligence (6:41)ML and Distributed Systems (9:09)The Brutal Subscription Industry (12:31)Serendipity in Recommender Systems (16:31)Subscription as a Strategy (20:47)Customizing Content for Subscribers (22:19)Creating User Embeddings (25:53)Building Featureform (28:01)Embedding Projections (32:47)Spaces and similarity (35:53)User embeddings and transformer models (38:22)Vector Databases for AI/ML (45:05)Orchestrating Transformations in Featureform (51:00)Impact of new technologies on feature stores (56:17)Embeddings and the future of ML (59:20)The gap between ML and business logic (1:02:26)Final thoughts and takeaways (1:06:37)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for...2023-06-281h 11
The Data Stack ShowThe PRQL: Feature Stores and ML Ops with Simba Khadder of FeatureformIn this bonus episode, Eric and Kostas preview their upcoming conversation with Simba Khadder of Featureform.2023-06-2604 min
Beyond MoneyballSimba Khadder - Feature Engineering and The Future of ML ProcessesSimba Khadder has a decorated history in tech; founding and acting as CEO of Featureform, formerly known as StreamSQL, founded in 2020. Working up from base level engineering roles Khadder has seen tech at every level, giving him a unique perspective and credibility when it comes to speaking on machine learning, data pipelines, and the business processes surrounding projects in that space. A champion of new era tech startups leveraging data and predictive analysis as a service, Khadder has a keen mind for recognizing what spaces or industries that data scientists can benefit from assistance in breaking down...2023-06-2125 min
MLOps Weekly PodcastMLOps Week 19: Navigating Traditional ML and LLM Workflows with Piero MolinoThis week on the MLOps Weekly Podcast, Simba sits down with Predibase, Co-Founder and CEO, Piero Molino, to discuss the differences between Ludwig and AutoML, iteration in traditional ML, and the ideal workflows for LLMs!2023-06-0630 min
MLOps Weekly PodcastMLOps Week 18: The LLM Revolution & the Future of Data with Josh WillsThis week on the MLOps Weekly Podcast, Simba chats with Josh Wills, Investor and former Head of Data Engineering at Slack, to discuss data contracts, the impact of LLMs on day-to-day life, and the paradigm shift it's creating in the space as a whole.2023-05-2446 min
On the NoseStill No Justice for Shireen Abu AklehOne year ago, Israeli soldiers shot and killed Palestinian American journalist Shireen Abu Akleh. To this day, no Israeli soldier has been indicted for the killing. Now, a new report by the Committee to Protect Journalists (CPJ) finds that the lack of accountability for Abu Akleh is part of a pattern: Though the Israeli army has killed 20 journalists since 2001, no Israeli soldier has ever been charged. Jewish Currents senior reporter Alex Kane discusses the report with CPJ’s Sherif Mansour—and also talks about the life and death of Abu Akleh with writer and attorney Jennifer Zacharia, Abu Akleh’s firs...2023-05-1125 min
MLOps Weekly PodcastMLOps Week 17: Why Data Scientists Need MLOps with Mikiko BazeleyWe're excited to bring you a special episode of the MLOps Weekly Podcast with our very own Head of MLOps, Mikiko Bazeley. Mikiko shares her insights as a prolific data scientist at small companies and enterprises, and why organizations need to prioritize MLOps stacks that focus on the plight of data scientists above all.2023-04-1237 min
MLOps Weekly PodcastMLOps Week 16: Maximizing Data Impact with Mark FreemanThis week on the MLOps Weekly Podcast, Simba sits down with Mark Freeman to discuss why we need to bridge the gap between data scientists and data engineers, and how improved collaboration increases stakeholder engagement and business value.2023-02-2842 min
MLOps Weekly PodcastMLOps Week 15: The Business Impact of MLOps with Liran HasonThis week on the MLOps Weekly Podcast, Simba chats with Aporia Co-Founder and CEO, Liran Hason, about best-of-breed tooling and the business impact of MLOps.********************************Aporia Model Observability********************************Podcast music provided by Chroma Sea2023-02-0733 min
MLOps Weekly PodcastMLOps Week 14: Orchestration in MLOps with Chris WhiteThis week on the MLOps Weekly Podcast, Simba sits down with Chris White, CTO at Prefect, to discuss his journey from mathematics to data science at CapitalOne, the power of orchestration in the ML lifecycle, and Prefect's approach to dataflow automation. 2022-12-2031 min
MLOps Weekly PodcastMLOps Week 13: MLOps Fundamentals with Jacopo TagliabueThis week on the MLOps Weekly Podcast, Simba chats with Jacopo Tagliabue, author of "You Do Not Need a Bigger Boat" and Director of AI at Coveo, to discuss fundamentals when choosing an MLOps toolchain, the problem with end-to-end platforms, and solving technology problems vs workflow problems.2022-11-0130 min
ContributorFeatureform and the Future of MLOps with Simba KhadderEric Anderson (@ericmander) and Simba Khadder (@simba_khadder) explore Featureform, the “virtual” feature store platform that aims to standardize data pipelines for machine learning. Contributor is no stranger to feature stores, but Simba has a broader definition than most. Join us to learn how Featureform enables data scientists and machine learning practitioners to solve a common, but rarely addressed organizational problem.
Subscribe to Contributor on Substack for email notifications, and join our Slack community!
In this episode we discuss:
How there is no standard or north star for MLOps
Why enterprise is where Featureform’s valu...2022-10-1932 min
ContributorFeatureform and the Future of MLOps with Simba KhadderEric Anderson (@ericmander) and Simba Khadder (@simba_khadder) explore Featureform, the “virtual” feature store platform that aims to standardize data pipelines for machine learning. Contributor is no stranger to feature stores, but Simba has a broader definition than most. Join us to learn how Featureform enables data scientists and machine learning practitioners to solve a common, but rarely addressed organizational problem.
Subscribe to Contributor on Substack for email notifications, and join our Slack community!
In this episode we discuss:
How there is no standard or north star for MLOps
Why enterprise is where Featureform’s valu...2022-10-1932 min
MLOps Weekly PodcastMLOps Week 12: Building the Right Abstractions in MLOps with Doris XinThis week on the MLOps Weekly Podcast, Simba chats with Doris Xin, Co-founder and CEO of Linea, about the importance of notebooks in the data science workflow, choosing the right abstractions when going from development to production, and embracing the chaos of development in the MLOps lifecycle.About Doris:Doris Xin is the CEO of Linea, an MLOps startup on a mission to build developer tools that empower data scientists and enable organizations to generate value rapidly with data.Doris received a PhD in Computer Science from UC Berkeley. Her thesis focused on...2022-10-1828 min
MLOps Weekly PodcastMLOps Week 11: The Evolution of DevOps and the Birth of MLOps with Sam RamjiThis week on the MLOps Weekly Podcast, Simba sat down with Silicon Valley veteran and Chief Strategy Officer at DataStax, Sam Ramji to discuss the origins and success of DevOps, data computation vs cognition, & the importance of community-driven product development in MLOps.2022-09-0642 min
MLOps Weekly PodcastMLOps Week 10: Vector Embeddings and AI-First Databases with Bob van LujitThis week on the MLOps weekly podcast, Simba spoke with Bob van Lujit, CEO and Co-Founder of SeMi Technologies, creators of the open-source vector database, Weaviate. They discuss the power of embeddings in machine learning and the infrastructure needed to utilize them properly in production.Bob's Bio: Bob is the CEO and co-founder of SeMI Technologies, the business created around the open-source vector search engine Weaviate. He is a frequent speaker on open-source, digital technology, software business, and business philosophy. In addition to a TEDx talk, Bob has spoken worldwide at 100s of events on open source...2022-08-3032 min
MLOps Weekly PodcastMLOps Week 9: LinkedIn's Feature Store & MLOps Workflows with David SteinBack from summer break with installment 9 of the MLOps Weekly Podcast! This week, Simba met with Senior Staff Software Engineer at LinkedIn's Machine Learning Infrastructure team, David Stein, to discuss the technical decisions and insights that led to LinkedIn's Feature Store, Feathr, and the importance of thoughtful API design when building MLOps workflows.2022-08-2334 min
MLOps Weekly PodcastMLOps Week 8: The MLOps Mindset with Stefan KrawczykFor the 8th installment of the podcast, Simba sits down with Stefan Krawczyk, who led the Model Lifecycle team at Stitchfix and has worked on data science teams at Linkedin and Nextdoor, to discuss his thought process when designing and deploying MLOps solutions.Links for listeners: - my class: https://www.getsphere.com/ml-engineering/mastering-model-deployment-and-inference?source=Instructor-LinkInPost-080222-stefan_mlopsweekly_podcast - Hamilton: https://github.com/stitchfix/hamilton - Fresh blog that helps complement the content in the podcast - https://multithreaded.stitchfix.com/blog/2022/08/02/configuration-driven-ml-pipelines/2022-08-0234 min
MLOps Weekly PodcastMLOps Week 7: Scaling AutoML with Nirman DaveFor week 7 of the MLOps Weekly Podcast, Simba sat down with Nirman Dave, Co-founder and CEO at Obviously AI, to discuss the practical and operational benefits of AutoML in production.2022-07-2623 min
MLOps Weekly PodcastMLOps Week 6: A VC Breakdown of MLOps with James AlcornThis week, Simba sat down with James Alcorn, Principal at Zetta Ventures, to discuss signals of success in MLOps platforms and his assessment template for MLOps founders.2022-07-1931 min
MLOps Weekly PodcastMLOps Week 5: Exploring the MLOps Ecosystem with Chaoyu YangThis week, Simba sat down with Co-Founder and CEO of BentoML, Chaoyu Yang, to discuss various sub-categories of MLOps providers, the prevalence of open-source platforms, and what advanced MLOps solutions should look like.Music provided by Chroma Sea: https://open.spotify.com/artist/4UEQ4gyve4UpoAGUgV816o2022-07-1222 min
MLOps Weekly PodcastMLOps Week 4: The Future of Data Infrastructure in MLOPs with Sam ParteeFor our fourth episode, we sat down with Sam Partee, Principal Applied AI Engineer at Redis, to discuss the evolution of data tools in MLOps and their ideal future.2022-06-2833 min
MLOps Weekly PodcastMLOps Week 3: MLOps From A Practitioner Turned VC with Leigh Marie Braswell, Principal at Founders FundIn this week's episode, we sit down with Leigh Marie Braswell, Principal at Founders Fund, to discuss her experience as a PM at Scale AI, her transition from an MLOps practitioner to an investor, and her thoughts on the future of MLOps.2022-06-2029 min
MLOps Weekly PodcastMLOps Week 2: Uber's Feature Store and Data Quality with Atindriyo Sanyal, Co-founder of GalileoThis week, we sit down with Atindriyo Sanyal to discuss feature stores at Uber and the importance of data quality.2022-06-1436 min
MLOps Weekly PodcastMLOps Week 1: Rethinking MLOps Observability with Bernease HermanThis week, our host, Simba Khadder, sits down with Bernease Herman from Why Labs to discuss the importance of observability in MLOps 2022-06-0637 min
Arab Medical Center (AMC) المركز العربي الطبيDr Mohammad Adnan Khadder - Q&A Arabi Podcastالمركز العربي الطبي – Arabi Q&A Podcast: أبرز الأسئلة الخاصة بالمفاصل الصناعية
في حلقة البث الصوتي الجديدة للمركز العربي الطبي Podcast نستضيف الدكتور محمد عدنان خضر / إستشاري جراحة العظام والمفاصل الصناعية وتطويل وترميم العظام ليقدم لنا إجابات على أبرز الأسئلة الخاصة بموضوع عمليات إستبدال المفاصل والمفاصل الصناعية (مدة الحلقة حول 9.5 دقيقة)
لحجز المواعيد ولمزيد من المعلومات الرجاء الاتصال على هاتف 5921199 فرعي 114 و 115
#المركز_العربي_الطبي #لقاء #اذاعي #Pocast #Arabi_Podcast #QnA
#جراحة_العظام #جراحة_المفاصل #إستبدال_المفاصل #المفاصل_الصناعية
#تثقيف #صحي #تحديث #تطوير #رعاية_أفضل #طب #الاردن2022-01-2009 min
Open||Source||DataEmbeddings, Feature stores, and MLOps with Simba KhadderJoin CEO of Featureform, Simba Khadder as he talks with Sam about how versioning, immutability, and sharing will accelerate ML workflows. Tune-in on state of the art collaboration in data teams, and the power of focusing on your north star.See omnystudio.com/listener for privacy information.
2021-10-1430 min
Data Engineering PodcastAccelerate Your Machine Learning With The StreamSQL Feature StoreSummary
Machine learning is a process driven by iteration and experimentation which requires fast and easy access to relevant features of the data being processed. In order to reduce friction in the process of developing and delivering models there has been a recent trend toward building a dedicated feature. In this episode Simba Khadder discusses his work at StreamSQL building a feature store to make creation, discovery, and monitoring of features fast and easy to manage. He describes the architecture of the system, the benefits of streaming data for machine learning, and how a feature store provides...2020-06-1546 min