ArangoDB Radio

ArangoDB

ArangoDB radio holds conversations with experts at the intersection of machine learning, data science, graph databases, ethics, business, and philosophy. Brought to you by ArangoDB. read less
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Building towards an era of exponential efficiency for all of humanity. Ft Kaveh Vahedipour, senior software architect at ArangoDB
Jul 20 2022
Building towards an era of exponential efficiency for all of humanity. Ft Kaveh Vahedipour, senior software architect at ArangoDB
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features our conversation with Kaveh Vahedipour, senior software architect at ArangoDB. Come along as we discuss a day in the life of an ArangoDB engineer, finding art in distributed systems, living in an era of exponential efficiency for humanity, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Timestamp: 55: What gives Kaveh feelings of power 2:00 Typical day in the life of a senior ArangoDB software architect 4:00 Where can you find Kaveh's handiwork inside of ArangoDB? 8:00 What do the frontiers of distributed systems look like? 10:30 Finding art in distributed systems 16:00 Smart Graph and Cluster Agency come together 19:00 What got Kaveh interested in computers and software engineering 21:00 How Kaveh's physics training influences how he approaches programming problems. 24:30 Kaveh's tips and tricks to dealing with bugs and system errors. 26:30 Remembering the worst bug Kaveh has ever faced. 30:00 Best places to learn about Cluster and distributed systems for beginners 32:00 What will the future look like for Cluster and distributed systems? 36:00 How do software engineers navigate the fact that they have superpowers? 38:30 What are Kaveh's favorite tools to get things done? 41:00 The benefits of using a text editor for programming. 43:00 Kaveh recommends Design Patterns, the book, and CS 106 on youtube from Stanford University. 48:00 Kaveh's favorite thing about working at ArangoDB 51:00 Kaveh's experience with impostor syndrome 53:00 Kaveh's vision of ArangoDB 5 years from today Stay in touch with Kaveh with the links below. https://www.linkedin.com/in/kaveh-vahedipour-51234a88/ https://www.arangodb.com/speakers/kaveh-vahedipour/ Links to some of the topics discussed: https://youtu.be/KkMDCCdjyW8 https://amzn.to/3csaqXX Thanks to our excellent guest, and thank you for listening to ArangoDB Radio! Please like, subscribe and share the show; it greatly helps us!

Episodes

Building towards an era of exponential efficiency for all of humanity. Ft Kaveh Vahedipour, senior software architect at ArangoDB
Jul 20 2022
Building towards an era of exponential efficiency for all of humanity. Ft Kaveh Vahedipour, senior software architect at ArangoDB
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features our conversation with Kaveh Vahedipour, senior software architect at ArangoDB. Come along as we discuss a day in the life of an ArangoDB engineer, finding art in distributed systems, living in an era of exponential efficiency for humanity, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Timestamp: 55: What gives Kaveh feelings of power 2:00 Typical day in the life of a senior ArangoDB software architect 4:00 Where can you find Kaveh's handiwork inside of ArangoDB? 8:00 What do the frontiers of distributed systems look like? 10:30 Finding art in distributed systems 16:00 Smart Graph and Cluster Agency come together 19:00 What got Kaveh interested in computers and software engineering 21:00 How Kaveh's physics training influences how he approaches programming problems. 24:30 Kaveh's tips and tricks to dealing with bugs and system errors. 26:30 Remembering the worst bug Kaveh has ever faced. 30:00 Best places to learn about Cluster and distributed systems for beginners 32:00 What will the future look like for Cluster and distributed systems? 36:00 How do software engineers navigate the fact that they have superpowers? 38:30 What are Kaveh's favorite tools to get things done? 41:00 The benefits of using a text editor for programming. 43:00 Kaveh recommends Design Patterns, the book, and CS 106 on youtube from Stanford University. 48:00 Kaveh's favorite thing about working at ArangoDB 51:00 Kaveh's experience with impostor syndrome 53:00 Kaveh's vision of ArangoDB 5 years from today Stay in touch with Kaveh with the links below. https://www.linkedin.com/in/kaveh-vahedipour-51234a88/ https://www.arangodb.com/speakers/kaveh-vahedipour/ Links to some of the topics discussed: https://youtu.be/KkMDCCdjyW8 https://amzn.to/3csaqXX Thanks to our excellent guest, and thank you for listening to ArangoDB Radio! Please like, subscribe and share the show; it greatly helps us!
The intersection of biology and machine learning, understanding DALL-E 2, and using nature as an inspiration to build data science tools.
Jun 15 2022
The intersection of biology and machine learning, understanding DALL-E 2, and using nature as an inspiration to build data science tools.
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features our conversation with Dr. Tariq Daouda, the CEO at Blurwr and a bioinformatics and machine learning expert. Come along as we discuss the parallels between biology and machine learning, a typical day in the life of a bioinformatics expert, examining DALL-E 2, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Timestamp: 1:00 Intro to Tariq 3:00 How learning about Machine Learning and Biology changed how Tariq views everyday life. 6:00 How biologist think vs how machine learning people think. Examining the differences in cultures. 9:30 What does the typical day in the life of a bio-informatician look like? 20:30 How does Tariq interpret models when they put out unexpected data? 25:00 What tools or methods do machine learning experts use to clean up biases from data. 28:00 How to navigate regulations and variations when trying to collect biological data. 31:00 How hard or easy to start a business leveraging biology and machine learning to create products/services. 34:00 What is Tariq's take on biological computers? 36:00 Using nature as a source of inspiration to make machine learning products. 40:00 The parallels between neural networks and mycelium. DALLE-2 reference. 44:00 Building networks that are safe to use in medical settings. 46:00 How can people get started in bio-informatics? 47:00 What would our potential Star Trek future look like if biology and machine learning form a perfect marriage? 51:00 How to stay in touch with Tariq and his team Stay in touch with Tariq with the links below: https://twitter.com/TariqDaouda https://www.linkedin.com/in/tariqdaouda/ https://bluwr.com/#/ https://twitter.com/bluwr_official References: https://openai.com/dall-e-2/ Thanks to our excellent guest, and thank you for listening to ArangoDB Radio!
Becoming a data scientist, creating successful data science meetups, and generating profits with machine learning products ft Duong Vu, a data scientist at UrbanLogiq and founder of Women in Data Science Vancouver.
Jun 6 2022
Becoming a data scientist, creating successful data science meetups, and generating profits with machine learning products ft Duong Vu, a data scientist at UrbanLogiq and founder of Women in Data Science Vancouver.
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features Duong Vu, a data scientist at UrbanLogiq, and the Women in Data Science Vancouver group founder. Come along as we discuss how to become a data scientist, creating ml products that generate profits, providing urban planners with data like never before, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Time Stamp: 30: Duong's introduction 3:00 Duong's path to becoming a data scientist 15:00 The origin story and highlights of Data Can, a data scientist community. 22:00 Adapting data science meetups to the pandemic 29:00 Doing meetups in virtual reality? 33:30 Turning machine learning algorithms into products that make money. 40:00 Business meets data science—the importance of ML ops. 43:30 How does Duong's team navigate noise when forming data science solutions for city problems. 51:00 What will urban planners of the future be capable of doing with machine learning that they cannot do today? 56:00 How to get people excited about data science while also having realistic expectations. 57:30 Resources on getting started as a data scientist 1:00:30 What does success look like for DataCan? What is Duong's vision of the future? 1:04:10 How to stay in touch with Duong Stay in touch with Duong with the links below: https://urbanlogiq.com/ https://datacan.network/ https://www.linkedin.com/in/duongqvu/ References https://www.youtube.com/watch?v=jGwO_UgTS7I&list=PLoROMvodv4rMiGQp3WXShtMGgzqpfVfbU https://leetcode.com/ Thank you for listening to ArangoDB Radio! Please like, subscribe and share the show; it helps us a lot!
Discussing knowledge graphs, digitals twins, and the democratization of data science featuring Ashleigh Faith director of knowledge graph at EBSCO
Apr 15 2022
Discussing knowledge graphs, digitals twins, and the democratization of data science featuring Ashleigh Faith director of knowledge graph at EBSCO
This episode features Ashleigh Faith, the director of knowledge graph at EBSCO and founder of IsaDataThing, a youtube channel dedicated to data science content. Come along as we discuss knowledge graphs, digital twins, the democratization of data science, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Timestamps 1:00 How and why did Ashleigh become involved in data science? 3:00 Highlights from Ashleigh's experience working at NATO 4:30 How do data scientists deal with the intricacies and nuances of different languages when doing data collection and data cleaning 9:30 What are the most difficult questions data scientists face in analyzing and understanding human language. 12:00 How do you know when you're collecting the correct data? 14:00 Creating/discovering new roles for data scientists 16:00 How often do data scientists rely on intuition to make decisions? 19:00 What is the current state of data science? 24:00 What would it take to get knowledge graphs and data science to the masses? 26:00 What is the purpose of digital twins? 29:00 What industry trends is Ashleigh thinking about lately 34:00 What can data scientists do if their management is making unethical decisions? 38:00 What are the most common misconceptions about the knowledge graphs? 43:00 What would the perfect tool for knowledge graphs look like? 47:00 Ashleigh's preferred method for learning about knowledge graph 50:00 How to think in "graphs" and how thinking in graphs affects Ashleigh's day to day decision making 54:00 Everything is already a graph. Stay in touch with Ashleigh with the links below: https://www.linkedin.com/in/ashleighnfaith/ https://www.youtube.com/c/AshleighFaith Thank you for listening to ArangoDB Radio! Please like, subscribe and share the show; it helps us a lot!
Incorporating fairness into Machine Learning, exploring the dark side of computer vision and the current state of NLP Featuring Dr. Rachael Tatman, Staff Developer Advocate at Rasa HQ
Mar 29 2022
Incorporating fairness into Machine Learning, exploring the dark side of computer vision and the current state of NLP Featuring Dr. Rachael Tatman, Staff Developer Advocate at Rasa HQ
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features Dr. Rachael Tatman, a Staff Developer Advocate at Rasa HQ with expertise in NLP, computational sociolinguistics, as well as fairness, and accountability in machine learning. Come along as we discuss what it means for machine learning models to be 'fair,' the current state of NLP, the challenge of detecting sarcasm with sentiment analysis, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Time Stamps: 1:00 Intro to Dr. Tatman 3:00 What does it mean to be "fair" in machine learning? 15:00 How to incorporate fairness into the development process 18:00 How to balance the concept of fairness in a globalized world? 23:00 Why is Dr. Tatman wary of computer vision? 30:00 The ultimate potential of computer vision, if put to good use 34:00 Considerations on medical imagining analysis using computer vision 38:00 The current state of NLP. What can we do with NLP that we couldn't do five years ago? 47:00 The challenge of detecting sarcasm with sentiment analysis 51:00 How to get started in NLP and resources on machine learning and fairness 55:00 Dr. Tatmans vision on the promise of machine learning for humanity 56:00 Best way to stay in touch with Dr. Tatman Connect with Dr. Tatman: https://twitter.com/rctatman https://www.rctatman.com/ https://www.youtube.com/c/RachaelTatmanNLP https://www.linkedin.com/in/rachael-tatman-500a323a/ Learning resources: https://youtu.be/hJ1hzEJE16c https://web.stanford.edu/~jurafsky/slp3/ Thank you for listening! Please share and review the podcast; it helps a bunch!
What it means for AI to 'understand', the influence of quantum computers on machine learning, how AI can build AI. Featuring Dr. Mark Tabladillo a data science and AI expert at Microsoft
Mar 24 2022
What it means for AI to 'understand', the influence of quantum computers on machine learning, how AI can build AI. Featuring Dr. Mark Tabladillo a data science and AI expert at Microsoft
Welcome to ArangoDB Radio! ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. This episode features Dr. Mark Tabladillo, a solutions architect and expert in analytics, AI, and data science at Microsoft. Come along as we discuss what it means for AI to 'understand', the influence of quantum computers on machine learning, how AI can build AI, and much more! Check out the show notes to get a preview of our conversation. You can listen to ArangoDB Radio on Spotify, Google podcasts, Amazon music, Stitcher, and most of your favorite podcast apps. Time Stamps: 1:00 How Dr. Tabladillo got involved with Data Science and Microsoft 8:00 What is the current state of the field of data science? 11:00 The most interesting data science project Dr. Tabladill has ever worked on 19:00 How Quantum computers can influence machine learning 22:00 What does it mean for AI to 'understand' and the hype around GPT-3 28:00 Will we ever get Data from Star Trek? 30:00 How AI can build AI 40:00 What is the worst thing that could happen to the field of data science? 47:00 Exploring the intersection of data science and human psychology 51:00 Dr. Tabladillo's suggested data science learning resources for people working in the industry. 55:00 What are Dr. Tabladillo's biggest hopes for the technologies that will emerge from the field of data science? 59:00 How to stay in touch Dr. Tabladillo Learning links https://www.kdnuggets.com/ https://docs.microsoft.com/en-us/azure/architecture/data-science-process/overview https://docs.microsoft.com/en-us/learn/ https://www.oreilly.com/library/view/data-science-for/9781449374273/ Connect with Dr. Tabladillo https://www.linkedin.com/in/marktab/ https://twitter.com/MarkTabNet Thank you for listening! Please share and review the podcast; it helps a bunch!
Exploring industry trends, discussing ethics in data science and the future of graph ML ft. ArangoDB CTO Joerg Schad
Mar 10 2022
Exploring industry trends, discussing ethics in data science and the future of graph ML ft. ArangoDB CTO Joerg Schad
Welcome to ArangoDB radio’s inaugural episode!  ArangoDB radio is a podcast dedicated to exploring the frontiers of data science by providing insightful conversations with experts in the field. Come along and join us for our first episode with ArangoDB CTO Joerg Schad! Check out the show notes below to get a preview of our conversation.  Show Notes:  1:00 What is ArangoDB and how does ArangoDB plan to remain an industry leader. 4:00 Using Graph ML to more effectively predict outcomes.  9:20 Who is ArangoDB for? 11:00 What use cases is ArangoDB not good for? 19:00 “Data is the currency of 21st century” 23:00 Joerg’s predictions for Graph ML.  26:00 The history and origin of Graph ML 28:00 What industry trends is Joerg keeping an eye on? 29:30 The worst thing that could happen to the field of data science right now? 32:00 Why are neural networks such a black box?  36:00 What is the pace of technological progress in data science? 37:00 How important is data science to the average person on earth?  40:00 When is it appropriate to have conversations about ethics in data science? 43:00 Is it a good time to become a data scientist right now? 44:00 Joerg’s favorite piece of advice for people using ArangoDB. 44:30 What does it mean for Joerg to work in the field of data science? 46:00 Joerg’s parting comments for the community. For more information on Joerg or ArangoDB please check out the links below: https://twitter.com/joerg_schad (https://twitter.com/joerg_schad) https://twitter.com/arangodb (https://twitter.com/arangodb) https://www.arangodb.com/ (https://www.arangodb.com/) https://github.com/arangodb/ (https://github.com/arangodb/) Thank you for listening!  Please share and review the podcast, it helps a bunch!