Anaconda is a popular platform for data science, machine learning, and AI. It provides trusted repositories of Python and R packages and has over 35 million users worldwide.

Rob Futrick is the CTO at Anaconda, and he joins the show to talk about the platform, the concept of an OS for AI, and more.

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

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Sponsorship inquiries: [email protected]

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Vercel provides a cloud platform to rapidly deploy web projects, and they develop the highly successful Next.js framework. The company recently made headlines when they announced v0 which is a generative AI tool to create React code from text prompts. The generated code uses open-source tools like Tailwind CSS and shadcn/ui.

Lee Robinson is the VP of Product at Vercel. He helps lead the product teams and focuses on developer experience on the platform. He joins the show to talk about Vercel, their AI SDK to easily connect frontend code with LLMs, the v0 AI tool, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .

Please click here to see the transcript of this episode.

Watch the video episode here

Sponsorship inquiries: [email protected]

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Sean Mullaney is the CTO of Algolia and has worked at Google X, Stripe, and Zolando. He joins the show today to talk about Algolia, neural search, vector compression, search optimization, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.

Please click here to see the transcript of this episode.

Watch the video episode here

Sponsorship inquiries: [email protected]

The post Algolia with Sean Mullaney appeared first on Software Engineering Daily.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .

Please click here for the transcript of this episode.

Watch the video episode here

Sponsorship inquiries: [email protected]

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This episode of Software Engineering Daily is part of our on-site coverage of AWS re:Invent 2023, which took place from November 27th through December 1st in Las Vegas.

In today’s interview, host Jordi Mon Companys speaks with Ankur Mehrotra who is the Director and GM of Amazon SageMaker.

Jordi Mon Companys is a product manager and marketer that specializes in software delivery, developer experience, cloud native and open source. He has developed his career at companies like GitLab, Weaveworks, Harness and other platform and devtool providers. His interests range from software supply chain security to open source innovation. You can reach out to him on Twitter at @jordimonpmm.

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post AWS re:Invent Special: Sagemaker with Ankur Mehrotra appeared first on Software Engineering Daily.

An embedding is a concept in machine learning that refers to a particular representation of text, images, audio, or other information. Embeddings are designed to make data consumable by ML models.

However, storing embeddings presents a challenge to traditional databases. Vector databases are designed to solve this problem.

Marek Galovic is a software engineer at Pinecone and works on the core database team. He joins the podcast today to talk about how vector embeddings are created, engineering a vector database, unsolved challenges in the space, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.

Please click here to see the transcript of this episode.

Watch the video episode here

Sponsorship inquiries: [email protected]

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Vespa is a fully featured search engine and vector database, and it has integrated ML model inference. The project open sourced in 2017, and since then has grown to become a prominent platform for applying AI to big data sets at serving time.

Vespa began as a project to solve Yahoo’s use cases in search, recommendation, and ad serving. The company made headlines in October when they announced they’re spinning Vespa.ai out of Yahoo as a separate company.

Please click here to see the transcript of this episode.

Sponsorship inquiries:[email protected]

The post Vespa.ai with Jon Bratseth appeared first on Software Engineering Daily.

GitHub Copilot is an AI tool developed by GitHub and OpenAI to assist software developers by autocompleting code. Copilot kicked off a revolution in software engineering, and AI assistants are now considered essential tools to many developers.

Joseph Katsioloudes is a cyber security specialist and works at the GitHub Security Lab. He joins the show today to talk about Copilot, the future of software development in an AI world, using AI to improve security, and more.

Check out Joseph’s bio and the Secure Code Game which is an in-repo learning experience that Joseph created to teach how to secure vulnerable code.

Please click here to see the transcript of this episode.

Sponsorship inquiries:[email protected]

Watch the video episode here.

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Machine learning model research requires running expensive, long-running experiments where even a slight mis-calibration can cost millions of dollars in underutilized compute resources. Once trained, model deployment, production monitoring, and observability requirements all present unique operational challenges.

Chris Van Pelt is the Chief Information Officer of Weights and Biases, which is the industry standard in experiment monitoring and visualization, and has expanded that expertise into a comprehensive suite of ML Ops tooling including model management, deployment, and monitoring.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer . 

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

The post Weights & Biases with Chris Van Pelt appeared first on Software Engineering Daily.

Hugging Face was founded in 2016 and has grown to become one of the most prominent ML platforms. It’s commonly used to develop and disseminate state-of-the-art ML models and is a central hub for researchers and developers.

Sayak Paul is a Machine Learning Engineer at Hugging Face and a Google Developer Expert. He joins the show today to talk about how he entered the ML field, diffusion model training, the transformer-based architecture, and more.

Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer .

Please click here to see the transcript of this episode.

Sponsorship inquiries: [email protected]

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