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    Google Cloud Platform Podcast

    The Google Cloud Platform Podcast, coming to you every week. Discussing everything on Google Cloud Platform from App Engine to BigQuery.

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    Copyright: © Copyright 2021 Google Inc.

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    Latest Episodes:
    NeurIPS and AI Research with Anima Anandkumar Nov 28, 2018
    Show notes

    Melanie is solo this week talking with Anima Anandkumar, a Caltech Bren professor and director of ML research at NVIDIA. We touch on tensors, their use, and how they relate to TensorFlow. Anima also details the work she does with NVIDIA and how they are helping to advance machine learning through hardware and software. Our main discussion centers around AI and machine learning research conferences, specifically the Neural Information Processing Systems conference (commonly referred to as NIPS) and the reason they have rebranded.

    NIPS originally started as a small conference at Caltech. As deep learning became more and more popular, it grew exponentially. With the higher attendance and interest, the acronym became center stage. Sexual innuendos and harassing puns surrounded the conference, sparking a call for a name change. At first, conference organizers were reluctant to rebrand and they used recent survey results as a reason to keep NIPS.

    Anima discusses her personal experience protesting the acronym, opening up about the hate speech and threats of which she and others received. Despite the harassment, Anima and others continued to protest, petition, and share stories of mistreatment within the community which helped lead to the name/acronym change to NeurIPS. The rebranding hopes to reestablish an inclusive academic community and move the focus back to machine learning research and away from unprofessional attention.

    Anima Anandkumar

    Animashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization.

    Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum's Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, O'Reilly media, and so on.

    Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018.

    Cool things of the week
    • Taking charge of your data: using Cloud DLP to de-identify and obfuscate sensitive information blog
    • Unlocking what's possible with medical imaging data in the cloud blog
    • Google makes dataset of 50 million drawings available on its cloud blog
    • Machine learning on machines: building a model to evaluate CPU performance blog
    Interview
    • Anima at TensorLab site
    • NeurIPS site
    • Petition site
    • Name Change (results of the poll) letter
    • Johns Hopkins University letter letter
    • AI Researchers Fight Over Four Letters article
    • From the Board: Changing our Acronym letter
    • TensorFlow site
    • NVIDIA site
    Question of the week

    What are some actions I can take if I'm being trolled, harassed and/or bullied online or I want to be proactive about my safety?

    • If you are experiencing harassment, tell someone who can support you, document it, and assess escalating to authorities depending on the severity.
    • Surveillance Self-Defense
    • Preventing Doxxing
    Where can you find us next?

    Mark will be at KubeCon in December.

    Melanie will be at SOCML this week and NeurIPS next week. She'll be attending WIML, Black in AI, and LatinX.


    Grace Health with Therese Mannheimer and Roman Jasins Nov 21, 2018
    Show notes

    Happy Thanksgiving! On this episode, Mark and Melanie learn about Grace.health with co-founders Therese Mannheimer and Roman Jasins. Grace.health's goal is to give women control of information about their own bodies, allowing them to make informed healthcare decisions. Grace.health is a female health companion that lets women track and plan their periods, fertility, and ask questions. It is a global undertaking, hoping to reach not just the tech savvy woman, but all women in all markets worldwide.

    Stigmas and taboos around the world portray periods as dirty and contagious, preventing women from being able to work, go to school, or even sleep in the house. Grace.health's goal is to educate people to help limit these superstitions and allow women to live fuller lives. With Grace.health, women know when their periods are coming or when the are ovulating so they can make the proper plans.

    In the longterm, Grace.health hopes to be a tool to not only help women identify any health concerns but also find a healthcare professional and get the treatment necessary.

    Therese Mannheimer

    Therese, one of the founders of Grace.health, is an experienced business developer and product person who believes that the best way to solve problems is to put relevant solutions into the hands of people. She is also co-founder of the Allbright Foundation that works with driving opinion around meritocracy.

    Roman Jasins

    Roman is CTO and co-founder of Grace.health.

    Cool things of the week
    • Building IoT Applications on Google Cloud video
    • Getting started with Kubeflow Pipelines blog
    • Subatomic particles and big data: Google joins CERN openlab blog
      • GCP Podcast Episode 145: ATLAS with Dr. Mario Lassnig podcast
    • Istio Routing Basics site
    Interview
    • Grace Health site
      • Google Cloud Startup site
    • Dialogflow site
    • FEM International site
    • UN site
    • Doctors Without Borders site
    • The Hunger Project site
    Question of the week

    With background cloud functions - how can I set them up to retry on failure?

    • Background functions
    • Retrying Background Functions
    Where can you find us next?

    Mark and will be at KubeCon in December.

    Melanie will be at SOCML in November and Black in AI and LatinX in December.


    Confluent and Kafka with Viktor Gamov Nov 14, 2018
    Show notes

    Viktor Gamov is on the podcast today to discuss Confluent and Kafka with Mark and special first-time guest host, Michelle. Viktor spends time with Mark and Melanie explaining how Kafka allows you to stream and process data in real-time, and how Kafka helps Confluent with its advanced streaming capabilities. Confluent Cloud helps connect Confluent and cloud platforms such as Google Cloud so customers don't have to manage anything - Confluent takes care of it for you!

    To wrap up the show, Michelle answers our question of the week about Next 2019.

    Viktor Gamov

    Viktor Gamov is a Developer Advocate at Confluent, the company that makes a streaming platform based on Apache Kafka. Working in the field, Viktor developed comprehensive expertise in building enterprise application architectures using open source technologies. He enjoys helping different organizations design and develop low latency, scalable, and highly available distributed systems.

    Back in his consultancy days, he co-authored O'Reilly's «Enterprise Web Development».

    He is a professional conference speaker on distributed systems, Java, and JavaScript topics, and is a regular at events, including JavaOne, Devoxx, OSCON, QCon, and others. He blogs and produces the podcasts Razbor Poletov (in Russian) and co-hosts DevRelRad.io.

    Follow Viktor on Twitter, where he posts about gym life, food, open source, and, of course, Kafka and Confluent!

    Cool things of the week
    • Kubeflow published a leadership guide to inclusivity site
    • Picture what the cloud can do: How the New York Times is using Google Cloud to find untold stories in millions of archived photos blog
    • Click-to-deploy on Kubeflow site
    • Containerd available for beta testing in Google Kubernetes Engine blog
    • Introducing AI Hub and Kubeflow Pipelines: Making AI simpler, faster, and more useful for businesses blog
    • Announcing Cloud Scheduler: a modern, managed cron service for automated batch jobs blog
    Interview
    • Kafka site
    • Kafka Connect site
    • Kafka Streams site
    • KSQL site
    • Confluent site
    • Confluent Hub site
    • Confluent Schema Registry site
    • Confluent Cloud on Google Cloud Marketplace site
    • Confluent Enterprise site
    • Confluent Cloud site
    • Confluent on Github site
    • Confluent Blog blog
    • How to choose the number of topics/partitions in a Kafka cluster? blog
    • Publishing with Apache Kafka at The New York Times blog
    • Google Cloud Platform and Confluent partner to deliver a managed Apache Kafka service blog
    • Viktor's Presentations site
    • Confluent Community site
    Question of the week

    If I wanted to submit a CFP for Next 2019, how would I do it?

    Where can you find us next?

    Mark and Michelle will be at KubeCon in December.

    Michelle will be at Scale by the Bay on Friday. She'll also be at YOW! Sydney, Brisbane, & Melbourne in Nov & December.


    G Suite with Joanna Smith and Alicia Williams Nov 07, 2018
    Show notes

    Joanna Smith and Alicia Williams talk G Suite with Mark and Melanie this week! G Suite is Google's collection of apps to help make working easier. It includes things like Gmail, Docs, Sheets, Calendar, and more and is designed to be collaborative. It's customizable, allowing users to adjust the programs to their needs and be more effective – including integrating it with Google Cloud! G Suite has an active community of developers building add-ons to increase functionality as well.

    Joanna Smith

    Joanna is a Developer Advocate for G Suite, working to make sure that anyone can extend G Suite with clever solutions to make Google work for them.

    Alicia Williams

    Alicia is an advocate for Google Cloud, trying to help data analysts solve problems. She uses machine learning, SQL, and visualizations to help solve problems and tell stories.

    Cool things of the week
    • A dataset of congressional bills and built a text classification model with AutoML Natural Language by Sara Robinson tweet and blog
    • Serverless from the ground up: Connecting Cloud Functions with a database (Part 3) blog
    • How 20th Century Fox uses ML to predict a movie audience blog
    • Kick off developer projects with improved G Suite Developer Hub blog
    • This multiplayer game integrates Open Match, a highly-scalable, open source matchmaking framework from Google Cloud, Unity tweet, and Google Doodle
    • Happy Anniversary, Melanie!
    Interview
    • G Suite site
    • Google Sheets site
    • G Suite on Google Plus site
    • G Suite Marketplace site
    • G Suite on Github site
    • G Suite APIs site
    • G Suite App Maker site
    • Building IoT Applications on Google Cloud video
    • Firestore Google Apps Script Library site
    • Build on G Suite site
    • Advanced Services Documentation site
    • BigQuery site
    • New Google Sheets enterprise data integrations with BigQuery and SAP blog
    • Analyze big data within Google Sheets site
    • Analyzing text in a Google Sheet using Cloud Natural Language API and Apps Script blog
    • Entity sentiment analysis on text data in a Google sheet using Cloud Natural Language Github site
    Question of the week

    What if I want to write a code sample with a link that opens the Cloud Console and automatically clones a Git repository into Cloud Shell?

    Where can you find us next?

    Alicia will be at DevFest.

    Mark will be at KubeCon in December.

    Melanie will be at SOCML this month.


    Bazel with Tony Aiuto Oct 31, 2018
    Show notes

    Happy Halloween! On this not-so-spooky episode of the Google Cloud Podcast, Melanie and Mark talk with Tony Aiuto of Bazel. Bazel grew from Google's internal build system, Blaze, to become the open source Bazel that it is today. The aim of the project is to quickly make very large builds across multiple languages.

    Tony Aiuto

    Tony is the tech-lead/manager for Bazel Product Excellence. He works on removing what enterprise users see as barriers to adoption. Tony's efforts are on bridging the gap between the piece of open source code that the developers see and the product that users want to see.

    Commentary of the week

    Where can I donate if I'm angry or sad by last week's news?

    • Time's Up Now site
    • Project Alloy site
    • MeToo Stem site
    • HIAS site
    • ADL site
    • Protest NIPS conference name site
    Interview
    • Bazel site
    • BazelCon site
    • Bazel on GitHub site
    • Bazel Discuss on Google Groups site
    • Bazel on Slack site
    • Tweag site
    • Tweag Haskell Rules site
    Cool things of the week
    • It's Halloween!
    • And it's the 3rd anniversary of the podcast!
    • Gain insights about your GCP resources with asset inventory blog
    • Introducing the Cloud KMS plugin for HashiCorp Vault blog
    • Serverless from the ground up: Adding a user interface with Google Sheets (Part 2) blog
    • Cyber Security for the Previous Generation blog
    • The Red Sox won the World Series!
    Where can you find us next?

    Mark will be at KubeCon in December.

    Melanie will be at SOCML in November.


    AI Corporations and Communities in Africa with Karim Beguir & Muthoni Wanyoike Oct 24, 2018
    Show notes

    On the podcast today, we have two more fascinating interviews from Melanie's time at Deep Learning Indaba! Mark helps host this episode as we speak with Karim Beguir and Muthoni Wanyoike about their company, Instadeep, the wonderful Indaba conference, and the growing AI community in Africa.

    Instadeep helps large enterprises understand how AI can benefit them. Karim stresses that it is possible to build advanced AI and machine learning programs in Africa because of the growing community of passionate developers and mentors for the new generation. Muthoni tells us about Nairobi Women in Machine Learning and Data Science, a community she is heavily involved with in Nairobi. The group runs workshops and classes for AI developers and encourages volunteers to participate by sharing their knowledge and skills.

    Karim Beguir

    Karim Beguir helps companies get a grip on the latest AI advancements and how to implement them. A graduate of France's Ecole Polytechnique and former Program Fellow at NYU's Courant Institute, Karim has a passion for teaching and using applied mathematics. This led him to co-found InstaDeep, an AI startup that was nominated at the MWC17 for the Top 20 global startup list made by PCMAG. Karim uses TensorFlow to develop Deep Learning and Reinforcement Learning products. Karim is also the founder of the TensorFlow Tunis Meetup. He regularly organises educational events and workshops to share his experience with the community. Karim is on a mission to democratize AI and make it accessible to a wide audience.

    Muthoni Wanyoike

    Muthoni Wanyoike is the team lead at Instadeep in Kenya. She is Passionate about bridging the skills gap in AI in Africa and does this by co-organizing the Nairobi Women in Machine Learning community. The community enables learning, mentorship, networking, and job opportunities for people interested in working in AI. She is experienced in research, data analytics, community and project management, and community growth hacking.

    Cool things of the week
    • Is there life on other planets? Google Cloud is working with NASA's Frontier Development Lab to find out blog
    • In this Codelab, you will learn about StarCraft II Learning Environment project and to train your first Deep Reinforcement Learning agent. You will also get familiar some of the concepts and frameworks to get to train a machine learning agent. site
    • A new course to teach people about fairness in ML blog
    • Serverless from the ground up: Building a simple microservice with Cloud Functions (Part 1) blog
    • Superposition Podcast from Deep Learning Indaba with Omoju Miller and Nando de Freitas tweet and video
    Interview
    • Instadeep site
    • Nairobi Women in Machine Learning and Data Science site
    • Neural Information Processing Systems site
    • Google Launchpad Accelerator site
    • TensorFlow site
    • Google Assistant site
    • Cloud AutoML site
    • Hackathon Lagos site
    • Deep Learning Book book
    • Ranked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization research paper
    • Lessons learned on building a tech community blog
    • Kenya Open Data Initiative site
    • R for Data Science GitHub site and book
    • TWIML Presents Deep Learning Indaba site
    Question of the week

    If I want to create a GKE cluster with a specific major kubernetes version (or even just the latest) using the command line tools, how do I do that?

    • GCloud container clusters create site
    • Specifying cluster version site
    Where can you find us next?

    Our guests will be at Indaba 2019 in Kenya.

    Mark will be at KubeCon in December.

    Melanie will be at SOCML in November.


    Java & Jib with Patrick Flynn and Mike Eltsufin Oct 17, 2018
    Show notes

    Mark and Melanie speak with Patrick Flynn and Mike Eltsufin about their exciting new Java products for Google Cloud. Mike tells us all about the new Spring Cloud GCP, a helpful tool that integrates Google Cloud Platform APIs and the Spring Framework. Patrick elaborates on his team's new tool, Jib, a Java container image builder, and how it helps Java developers.

    Patrick Flynn

    Patrick Flynn is a long time Java developer who spent many years in Google Ads, and is now four years into being the tech lead of the Google Cloud Java Tools team.

    Mike Eltsufin

    Mike Eltsufin has been an enterprise Java application developer in the banking sector for over a decade before joining Google. Currently, he's the tech lead of the Cloud Java Frameworks team, focusing on bringing the goodness of Spring Boot to Google Cloud Java developers.

    Cool things of the week
    • Introducing container-native load balancing on Google Kubernetes Engine blog
    • Simplifying cloud networking for enterprises: announcing Cloud NAT and more blog
    • Store it, analyze it, back it up: Cloud Storage updates bring new replication options blog
    • Postmortems and Retrospectives with Liz and Seth video
      • GCP Podcast Episode 127: SRE vs Devops with Liz Fong-Jones and Seth Vargo podcast
    Interview
    • App Engine site
    • Kubernetes Engine site
    • Spring Framework site
    • Spring Boot site
    • Spring Cloud GCP site
    • Spring Cloud GCP on GitHub site
    • Cloud Pub/Sub site
    • Spanner site
    • Cloud Sql site
    • Cloud Datastore site
    • Docker site
    • Jib on GitHub site
    • Cloud Tools for IntelliJ Documentation site
    • Introducing Jib — build Java Docker images better blog
    • Bazel site
    • Skaffold on GitHub site
    • Netty site
    • SpringOne site
    • Knative and riff for Spring Developers video
    • Jib Gitter site
    • Sig Apps site
    • Kubernetes Slack site
    • Codelabs site
    Question of the week

    What if we have an object in Google Cloud Storage, and I want to automatically change an aspect of it – such as:

    • Downgrade the storage class of objects older than 365 days to Coldline Storage.
    • Delete objects created before January 1, 2013.
    • Keep only the 3 most recent versions of each object in a bucket with versioning enabled.

    Managing Object Lifecycles docs and guide

    Where can you find us next?

    Patrick's team will be at KubeCon Shanghai and Oracle Code One and he will be at KubeCon Seattle

    Mark will be at KubeCon in December.

    Melanie will be at Twilio Signal $BASH event on Thursday and SOCML in November.


    Strange Loop, Remote Working, & Distributed Systems with KF Oct 10, 2018
    Show notes

    Melanie and Mark celebrate their 150th episode this week with a high-energy interview of mutual friend, KF, at Strange Loop. KF gives her perspective on Strange Loop, working remotely, and distributed systems. She compliments Strange Loop for the diversity it has achieved as the conference has grown. She laments the lack of introductory material for distributed systems learners, saying it's not as complicated as everyone thinks but needs more educational material for beginners! In general, she believes everyone could benefit from some code study, especially if you can find a good mentor. KF also gives us some great tips for working remotely and staying effective and social.

    Katherine Fellows

    KF is a senior engineer focusing on backend, infrastructure, and data engineering. She has worked remotely for companies at all stages of growth in San Francisco, New York City, Portland, and Philadelphia. Most recently, she's been a Senior Software Engineer at Turbine Labs, developing tools that leverage a service mesh to make collaboration more effective for engineering teams. KF currently lives with her cat in Portland, OR.

    Cool things of the week
    • Introducing PyTorch across Google Cloud blog
    • Is that a device driver, golf driver, or taxi driver? Building custom translation models with AutoML Translate blog
    • A developer onramp to Kubernetes with GKE blog
    • Network controls in GCP vs. on-premises: Not so different after all blog
    Interview
    • Strange Loop site
    • Kubernetes site
    • Docker site
    • SRE site
    • GCP Podcast Episode 102: Smart Parking and IoT Core with Brian Granatir podcast
    Question of the week

    How do I encrypt and decrypt data with Cloud KMS? Symmetric and Asymmetric

    Where can you find us next?

    Mark will definitely be at Kubecon in December. Mark streams on Twitch streaming.

    Melanie will be at CAMLIS.

    Get in touch!
    • Website
    • Email us!
    • Ask us a question
    • Reddit
    • Google Plus
    • Twitter

    Deep Learning Research in Africa with Yabebal Fantaye & Jessica Phalafala Oct 03, 2018
    Show notes

    Today, Melanie brings you another great interview from her time at Deep Learning Indaba in South Africa. She was joined by Yabebal Fantaye and Jessica Phalafala for an in-depth look at the deep learning research that's going on in the continent.

    At the African Institute for Mathematical Sciences, the aim is to gather together minds from all over Africa and the world to not only learn but to use their distinct perspectives to contribute to research that furthers the sciences. Our guests are both part of this initiative, using their specialized skills to expand the abilities of the group and stretch the boundaries of machine learning, mathematics, and other sciences.

    Yabebal elaborates on the importance of AIMS and Deep Learning Indaba, noting that the more people can connect with each other, the more confidence they will gain. Jessica points out how this research in Africa can do more than just advance science. By focusing on African problems and solutions, machine learning research can help increase the GDP and economic standards of a continent thought to be "behind".

    Jessica Phalafala

    Jessica Phalafala is a PhD Applied Mathematics student at Stellenbosch University and currently affiliated with the African Institute for Mathematical Sciences. In her mid-twenties, she finds herself with four qualifications all obtained with distinction, including a Master of Science in Pure Mathematics degree from the University of the Witwatersrand. Jessica is interested in using her functional analysis background together with a number of newly developed skills to contribute towards developing rigorous mathematical theory to support some existing deep learning methods and algorithms for her PhD research. Outside of research she takes great interest in fast-tracking the level of accessibility of higher education in South Africa as co-founder of the Sego Sa Lesedi Foundation, a platform created to inform underprivileged high school learners of career and funding opportunities in science as well as provide them with mentorship as they transition into undergraduate studies.

    Yabebal Fantaye

    Dr. Fantaye is an AIMS-ARETE Research Chair based in South Africa. His research is in applying artificial intelligence and advanced statistical methods to cosmological data sets in order to understand the nature of the universe and to satellite images of the Earth in order to find alternative ways to monitor African development progress. Dr. Fantaye is a fellow of the World Economic Forum Young Scientists community, and a fellow and a Chair of the Next Einstein Forum Community of Scientists.

    Cool things of the week
    • A Kubernetes FAQ for the C-suite blog
    • BigQuery and surrogate keys: a practical approach blog
    • Adding custom intelligence to Gmail with serverless on GCP blog
    • Announcing Cloud Tasks, a task queue service for App Engine flex and second generation runtimes blog
    • Unity and DeepMind partner to advance AI research blog
    Interview
    • African Institute for Mathematical Sciences site
    • Provable approximation properties for deep neural networks research
    • Next Einstein Initiative site
    • Square Kilometer Array (SKA) site
    • University of the Witwatersrand site
    • Council of Scientific and Industrial Research (CSIR) site
    • South African National Space Agency (SANSA) site
    • National Astrophysics and Space Science Programme (NASSP)site
    • IndabaX site
    • Coursera site
    • Andrej Karpathy research
    • Andrej Karpathy Blog blog
    Question of the week

    If I'm using the Cluster Autoscaler for Kubernetes (or GKE), how can I prevent it from removing specific nodes from the cluster when scaling down?

    • How can I prevent Cluster Autoscaler from scaling down a particular node? github
    • What types of pods can prevent CA from removing a node? github
    Where can you find us next?

    Mark will definitely be at Kubecon in December and will probably be at Unite L.A. this month.

    Melanie is speaking at Monktoberfest Oct 4th in Portland, Maine and will be at CAMLIS the following week.


    Wellio with Sivan Aldor-Noiman and Erik Andrejko Sep 26, 2018
    Show notes

    In our last (but not least!) interview from NEXT, Mark and Melanie talked with Sivan Aldor-Noiman and Erik Andrejko about Wellio, an awesome new platform that combines AI and healthy eating. Wellio was developed as a way to not only educate users on the importance of proper nutrition for well-being but to give them their own personal nutritionist.

    The data scientists at Wellio started from scratch (pun intended) to create their own food-related database and then began training models so the data could be organized and personalized. Using a combination of human power and machine learning techniques, Wellio learns your preferences, allergies, diets, etc. and will make healthy decisions for you based on these key facts. It chooses recipes, populates a grocery list, and even has the ingredients delivered to your door in time for dinner!

    Sivan Aldor-Noiman

    Sivan heads Data Science for Wellio, an early stage startup in the FoodTech space that is helping people eat better. In Wellio, her team delivers models that help inspire, empower and adapt to people's eating needs, cooking abilities and health constraints. She began her career in the Israeli military serving as an instructor for an anti-tank missile unit (please don't think Rambo, think more like a classroom teacher). Sivan then transitioned to school and received her undergraduate degree in Industrial Engineering and a Master in Statistics from the Technion, Israel Institute of Technology. She moved to the U.S. to complete a Ph.D. degree in Statistics from The Wharton School, University of Pennsylvania. In her previous job, Sivan ended up leading several Data Science teams and learned that she really liked leading technical people since she got to learn a lot from them. Ultimately, she missed the smaller company mentality, so she is back in the startup world. Sivan was once asked to define herself so here goes: "I am an enthusiastic disagreeable giver and a constant empirical driven learner".

    Erik Andrejko

    Erik has spent his career making a positive impact on the world through mathematics. He is a co-founder and Chief Technology Officer of Wellio - an early stage startup applying AI to the intersection of food and human health. Previously, Erik lead the data science and research organization at The Climate Corporation, which applies data science to solve challenging problems in numerous domains including climatology, agronomic modeling and geospatial applications. When not analyzing interesting datasets, Erik can often be found riding up some incline on a bicycle or cooking.

    Cool things of the week
    • Summary of Google Cloud Next Tokyo site
    • Deep Learning Indaba GCP Credit Awards site
    • Data Studio and Dataprep are now generally available blog
      • DS: BI analyze more than 500 other data sources via more than 100 partner-built connectors and used by over a million people globally
      • DP: new look, team collab and more analytics features blog
    • Announcing general availability of Cloud Memorystore for Redis blog
    • Coursera Advanced Machine Learning with TensorFlow with GCP blog
      • Webinar on October 9th at 9AM PST to learn more
    • Simplifying ML predictions with Google Cloud Functions blog
    • 50 Best Cloud Security Podcasts site
      • GCP Podcast Episode #100: Vint Cerf: past, present, and future of the internet podcast
    Interview
    • Wellio site
    • GKE site
    • Cloud Storage site
    • Pub/Sub site
    • Cloud Composer site
    • Cloud ML Engine site
    • Stackdriver site
    • Cloud Functions site
    • TensorFlow site
    • Keras site
    • Scikit Learn site
    • Cloud TPU site
    • Cloud AutoML site
    • Cloud Vision site
    • DevOps201 for Application Developers video
    • Cloud Firestore site
    • Day 3 Keynote: Made Here Together video
    • Spinnaker site
    • Contact Wellio email
    Questions of the week

    Is Inbox going away?

    • Inbox is signing off: find your favorite features in the new Gmail blog
    • 5 ways the new Gmail can help you get more done blog
    Where can you find us next?

    We'll both be at Strangeloop.

    Mark will probably be at Unite L.A. in October.

    Melanie speaking at Monktoberfest Oct 4th in Portland, Maine.


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