MongoDB

We're excited to be joined by a prolific community member, Alain Mbuku. Learn about Alain’s experience being a part of the MongoDB community and how he came to build ybits.io We discuss Alain's journey as a developer, why he uses MongoDB, and the features of Ybits.

Ep. 15 Community Profile: Alain Mbuku and Ybits

In this episode, we dive into the world of generative AI and its impact on the tech industry with a special focus on DocsGPT, an innovative open-source documentation assistant developed by Arc53. Our guest, Alex Tushynski (alex@arc53.com), co-founder of Arc53, will discuss the journey from conception to implementation of DocsGPT, how MongoDB Atlas has been instrumental in this process, and the future of AI in enhancing user experiences.

Alex Tushynski 

Founder at Arc53

In this episode, we dive into the world of generative AI and its impact on the tech industry with a special focus on DocsGPT, an innovative open-source documentation assistant developed by Arc53. Our guest, Alex Tushynski (alex@arc53.com), co-founder of Arc53, will discuss the journey from conception to implementation of DocsGPT, how MongoDB Atlas has been instrumental in this process, and the future of AI in enhancing user experiences.


Ep. 208 AI Powered Chat for Your Documentation: DocsGPT

AI Powered Chat for Your Documentation: DocsGPT

Join us as we delve into the innovative world of AI with Gradient and MongoDB Atlas. We'll discuss how Gradient's Accelerator Blocks, combined with MongoDB Atlas's capabilities, are simplifying and enhancing AI development. Learn about the integration of these technologies and their impact on various industries, particularly finance and healthcare.Key Themes:<ul><li>Introduction to Gradient's Accelerator Blocks</li><li>Integration with MongoDB Atlas and its Benefits</li><li>Impact on AI Development Speed and Cost-Efficiency</li><li>Applications in Finance and Healthcare</li></ul>Resources:<ul><li><a href="https://mdb.link/gradient" rel="noopener noreferrer" target="_blank">Building AI With MongoDB: How Gradient Accelerator Blocks Take You From Zero To AI in Seconds</a></li></ul>

Chris is the Co-Founder and CEO at Gradient, who most recently led Studio AI at Netflix and was an architect of early domain expert LLMs for content production and intelligence. Prior to joining Netflix, Chris held a variety of leadership roles at Pinterest, Opendoor, and Meta. Chris started his career in finance and holds a dual bachelors degree in computer science and business, and a master degree in computer science from UPenn.

Christopher Chang

Co-founder and CEO

Join us as we delve into the innovative world of AI with Gradient and MongoDB Atlas. We'll discuss how Gradient's Accelerator Blocks, combined with MongoDB Atlas's capabilities, are simplifying and enhancing AI development. Learn about the integration of these technologies and their impact on various industries, particularly finance and healthcare. Key Themes: Introduction to Gradient's Accelerator Blocks Integration with MongoDB Atlas and its Benefits Impact on AI Development Speed and Cost-Efficiency Applications in Finance and Healthcare.  Read more: https://mdb.link/gradient


Ep. 207 Revolutionizing AI Development with Gradient and MongoDB Atlas: The Power of Accelerator Blocks

Revolutionizing AI Development with Gradient and MongoDB Atlas: The Power of Accelerator Blocks

Join us as we delve into the innovative world of AI with Gradient and MongoDB Atlas. We'll discuss how Gradient's Accelerator Blocks, combined with MongoDB Atlas's capabilities, are simplifying and enhancing AI development. Learn about the integration of these technologies and their impact on various industries, particularly finance and healthcare.
Key Themes:
Introduction to Gradient's Accelerator Blocks
Integration with MongoDB Atlas and its Benefits
Impact on AI Development Speed and Cost-Efficiency
Applications in Finance and Healthcare


In this insightful episode of the MongoDB Podcast, host Michael Lynn is joined by Vin Vashishta, a seasoned AI advisor, author of "From Data to Profit," and the founder of vSquared. Vin brings nearly three decades of expertise in strategy, leadership, software engineering, and applied machine learning to the table. The conversation delves into the transformative power of data, the challenges and opportunities presented by AI and machine learning, and the evolving landscape of software development. Vin shares his vision on the importance of transitioning from managing data to managing knowledge, the role of domain expertise in an AI-driven future, and practical advice for businesses and software developers to adapt and thrive in this rapidly changing environment. The episode concludes with a focus on continuous improvement and the necessity for individuals and organizations to anticipate and prepare for the technological advancements that lie ahead. For those looking to understand how to leverage data for profit and navigate the complexities of the AI revolution, this episode offers valuable insights and guidance.

Vin Vashishta is the author of ‘From Data To Profit’ (Wiley 2023). It’s the playbook for monetizing data and AI. Vin is the Founder of V-Squared and built the business from client 1 to one of the world’s oldest data and AI consulting firms. He also teaches courses on AI Strategy and Product Management. His background combines nearly 30 years in strategy, leadership, software engineering, and applied machine learning.

Vin Vashishta

Founder & AI Advisor

In this insightful episode of the MongoDB Podcast, host Michael Lynn is joined by Vin Vashishta, a seasoned AI advisor, author of "From Data to Profit," and the founder of vSquared. Vin brings nearly three decades of expertise in strategy, leadership, software engineering, and applied machine learning to the table. The conversation delves into the transformative power of data, the challenges and opportunities presented by AI and machine learning, and the evolving landscape of software development. Vin shares his vision on the importance of transitioning from managing data to managing knowledge, the role of domain expertise in an AI-driven future, and practical advice for businesses and software developers to adapt and thrive in this rapidly changing environment. The episode concludes with a focus on continuous improvement and the necessity for individuals and organizations to anticipate and prepare for the technological advancements that lie ahead. For those looking to understand how to leverage data for profit and navigate the complexities of the AI revolution, this episode offers valuable insights and guidance.


Ep. 206 Navigating the Data Revolution: A Conversation with Vin Vashishta

Navigating the Data Revolution: A Conversation with Vin Vashishta

In this insightful episode of the MongoDB Podcast, host Michael Lynn is joined by Vin Vashishta, a seasoned AI advisor, author of "From Data to Profit," and the founder of vSquared. Vin brings nearly three decades of expertise in strategy, leadership, software engineering, and applied machine learning to the table. The conversation delves into the transformative power of data, the challenges and opportunities presented by AI and machine learning, and the evolving landscape of software development. Vin shares his vision on the importance of transitioning from managing data to managing knowledge, the role of domain expertise in an AI-driven future, and practical advice for businesses and software developers to adapt and thrive in this rapidly changing environment. The episode concludes with a focus on continuous improvement and the necessity for individuals and organizations to anticipate and prepare for the technological advancements that lie ahead. For those looking to understand how to leverage data for profit and navigate the complexities of the AI revolution, this episode offers valuable insights and guidance.`


Join us on this exciting episode of the MongoDB Podcast as we delve into the groundbreaking partnership between MongoDB and Patronus AI. We're honored to have Anand Kannappan, the innovative mind behind Patronus AI, to discuss how this collaboration is pushing the boundaries of AI technology. Discover how Patronus AI's unique features, like Evaluation Runs, Adversarial Testing Sets, and Benchmarking, are setting new standards in AI model performance. Anand will also shed light on the cutting-edge Retrieval-augmented Generation Analysis and how it ensures reliability in AI-driven solutions. Whether you're an AI enthusiast, a developer, or just curious about the future of technology, this episode offers a deep dive into the intersection of AI and database technology, highlighting how MongoDB's versatile platform is playing a crucial role in shaping the AI landscape.

Anand is co-founder and CEO of Patronus AI, the industry-first automated AI evaluation and security platform to help enterprises catch LLM mistakes at scale. They are backed by Lightspeed Venture Partners, Gokul Rajaram, Replit CEO Amjad Masad, and Fortune 500 executives and board members. Previously, Anand led ML explainability and advanced experimentation efforts at Meta Reality Labs, and exited a quant hedge fund backed by Mark Cuban.

Anand Kannappan

Co-founder and CEO of Patronus AI

Join us on this exciting episode of the MongoDB Podcast as we delve into the groundbreaking partnership between MongoDB and Patronus AI. We're honored to have Anand Kannappan, the innovative mind behind Patronus AI, to discuss how this collaboration is pushing the boundaries of AI technology. Discover how Patronus AI's unique features, like Evaluation Runs, Adversarial Testing Sets, and Benchmarking, are setting new standards in AI model performance. Anand will also shed light on the cutting-edge Retrieval-augmented Generation Analysis and how it ensures reliability in AI-driven solutions. Whether you're an AI enthusiast, a developer, or just curious about the future of technology, this episode offers a deep dive into the intersection of AI and database technology, highlighting how MongoDB's versatile platform is playing a crucial role in shaping the AI landscape.


Ep. 205 Exploring the Edge of AI: MongoDB's New Frontier with Patronus.AI

Exploring the Edge of AI: MongoDB's New Frontier with Patronus.ai

In this episode of the MongoDB Podcast, host Michael Lynn is thrilled to welcome Kenny Gorman, Head of Streaming Products at MongoDB, for an in-depth discussion on the advancements in Atlas Stream Processing. Gorman shares the journey of developing MongoDB’s stream processing capabilities, focusing on the transformative impact of real-time data processing across various industries, from IoT to marketing. With an emphasis on the seamless integration with MongoDB’s aggregation framework, this episode illuminates how developers can effortlessly transition their existing aggregation statements into powerful streaming pipelines.-Read the blog: <a href="https://mdb.link/asp-blog" rel="noopener noreferrer" target="_blank">https://mdb.link/asp-blog</a>Read the docs: <a href="https://mdb.link/asp-docs" rel="noopener noreferrer" target="_blank">https://mdb.link/asp-docs</a>

Meet Kenny Gorman, an industry visionary with decades of experience across various data platforms and roles. From CEO to DBA, Kenny has played key roles in scaling major companies like PayPal and eBay on Oracle, while also managing one of the world's busiest PostgreSQL installations at Hi5. His early adoption of MongoDB for large-scale projects at Shutterfly showcased his passion for stream processing.

Kenny Gorman

Head of Streaming Products at MongoDB

In this episode of the MongoDB Podcast, host Michael Lynn is thrilled to welcome Kenny Gorman, Head of Streaming Products at MongoDB, for an in-depth discussion on the advancements in Atlas Stream Processing. Gorman shares the journey of developing MongoDB’s stream processing capabilities, focusing on the transformative impact of real-time data processing across various industries, from IoT to marketing. With an emphasis on the seamless integration with MongoDB’s aggregation framework, this episode illuminates how developers can effortlessly transition their existing aggregation statements into powerful streaming pipelines.


Ep. 204 Streamlining Data: Inside MongoDB’s Atlas Stream Processing with Kenny Gorman

In this episode of the MongoDB Podcast, host Michael Lynn is thrilled to welcome Kenny Gorman, Head of Streaming Products at MongoDB, for an in-depth discussion on the advancements in Atlas Stream Processing. Gorman shares the journey of developing MongoDB’s stream processing capabilities, focusing on the transformative impact of real-time data processing across various industries, from IoT to marketing. With an emphasis on the seamless integration with MongoDB’s aggregation framework, this episode illuminates how developers can effortlessly transition their existing aggregation statements into powerful streaming pipelines. 
Read the blog: https://mdb.link/asp-blog 
Read docs: https://mdb.link/asp-docs


Join us for a fascinating conversation with Yelena Shtykel, Head of Public Cloud Data at Citi, in this episode of the MongoDB Podcast. Yelena shares her journey from a full-stack developer to leading public cloud data initiatives, focusing on diverse cloud service providers and the complexities of handling data in a large organization like Citi. She delves into the challenges of cloud adoption, cost optimization, the role of MongoDB Atlas in Citi's infrastructure, and the importance of partnership in technology. Yelena also discusses her strategies for staying updated in the fast-paced tech world and her perspectives on generative AI. Tune in for insightful lessons and experiences from a leader in cloud data management.

Director, Public Cloud - Head of Cloud Data.

Yelena Shtykel

Head of Cloud Data at Citi

Join us for a fascinating conversation with Yelena Shtykel, Head of Public Cloud Data at Citi, in this episode of the MongoDB Podcast. Yelena shares her journey from a full-stack developer to leading public cloud data initiatives, focusing on diverse cloud service providers and the complexities of handling data in a large organization like Citi. She delves into the challenges of cloud adoption, cost optimization, the role of MongoDB Atlas in Citi's infrastructure, and the importance of partnership in technology. Yelena also discusses her strategies for staying updated in the fast-paced tech world and her perspectives on generative AI. Tune in for insightful lessons and experiences from a leader in cloud data management.


Ep. 203 Cloud Data at Scale: Yelena Shtykel on Data Management at Citi

Cloud Data at Scale: Yelena Shtykel on Data Management at Citi

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The MongoDB Podcast features guest interviews including developers, startups, and founders with MongoDB Principal Developer Advocate Michael Lynn. Learn about new and emerging technology, how to use the various MongoDB products and best practices, how organizations are using MongoDB, and what lead them to choose MongoDB over other databases.

Ep. 15 Community Profile: Alain Mbuku and Ybits

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