Hashmap on Tap

Andrew is Founder and CEO at Praxi Data which has a patented matching engine coupled with curated data libraries to enable true enterprise data discovery. Praxi Data enables you to search across all of your data with any coding standard and run their ML algorithms to discover the best quality source information, securely. They provide continuous deep data-driven insights for businesses and organizations by automating key processes with industry-specific expert libraries of terms. Prior to founding Praxi Data, Andrew spent time at Waterline Data, Hortonworks, Intercontinental Exchange, and the NYSE. Listen in to the episode to hear how Praxi Data got started and where they’re at in their journey to making the most out of data:

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Kevin is Co-Founder and CEO at Metaplane a Y Combinator backed data observability platform for the modern data stack that tells you when things break, what went wrong, and how to fix them proactively. Metaplane helps teams efficiently monitor their cloud data warehouse while identifying downstream impact with automated warehouse-to-BI lineage. Kevin previously earned a PhD from MIT, where he focused on researching automated data visualization and semantic type detection. Metaplane wants to ensure that every company of any size can trust its data. Listen in to the episode to hear how Kevin and the team plan to achieve their goals.

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March is a month dedicated to highlighting the contributions of women throughout history. We are thrilled to host three women data leaders to discuss their thoughts on modern solutions to data governance. Jyoti Pathak is Director of Data Engineering and Analytics at TD SYNNEX. They’re a leading distributor and solutions aggregator for the IT ecosystem. Molly Vorwerck is Head of Content and Communications at Monte Carlo, a data observability and reliability platform. Amy Horowitz is Regional Vice President at Matillion, a modern analytics and cloud-native solution providing ETL and data integration solutions. A topic that has been coming up a lot lately is data quality and reliability. Listen in to this special episode to hear perspectives on modern solutions for data reliability and data quality.

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Sharad Varshney is Co-Founder and CEO at OvalEdge, a cost-effective data catalog and data governance toolset designed to be used by everyone, every day, to get trusted data when they need it. Prior to OvalEdge, Sharad spent time at Hortonworks, Cohesive, and other tech companies. Listen in to the episode to hear why Sharad believes data governance is a necessity for all businesses and how setting standards helps to ensure that data is trustworthy.

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Jeremiah Lowin and host Kelly Kohlleffel discuss how Prefect is making “dataflows as easy as .py.” Jeremiah is Co-Founder and CEO at Prefect where they are providing workflow management, orchestration, scheduling, and dataflow automation. Jeremiah and the team view Prefect as an insurance product. They provide the most value when something has gone wrong rather than when everything is working fine. Listen in to the episode to hear Jeremiah’s story, how Prefect started and where they are today, and how they are eliminating the worry from data pipelines.

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Clément is Co-Founder & CPTO at Octolis, where they are enabling business teams to combine all of their customer data, enrich it, and sync it back to operational tools and business systems like Salesforce, Zendesk, Mailchimp, and others. Octolis handles activities such as data standardization, deduplication, and scoring and has over 30 native connectors. They allow users to combine customer data without technical skills to enable them to deploy data-driven marketing action from day one. Listen to the full episode to hear more on Clément’s background in consulting and how he started Octolis, their plans for the future, and his perspectives on the future of the modern data stack.

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Todd Crosslin joins host Kelly Kohlleffel to discuss the rapid evolution of data in the healthcare industry. Todd is Global Head of Healthcare and Life Sciences at Snowflake where he and the team are assisting clients across all industry segments to build new data products, share and exchange data, and monetize data assets through the Snowflake Data Cloud. Todd was an early adopter of Snowflake during his time at PDX. Although Snowflake was just a startup at that point, Todd was blown away by an early demo where Snowflake loaded 2 billion pharmacy claims in 8 minutes. "[Snowflake] just works." Today, Todd oversees a wide variety of Snowflake use cases for Providers, Payers, and Global Pharma. Listen in to hear how Snowflake is transforming the healthcare industry.

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On this week's episode of Hashmap on Tap, Aran Khanna, Co-Founder and CEO at Archera joins host Kelly Kohlleffel to discuss how they are providing big company cloud automation to anyone running in the cloud. Achera delivers an AI-based Cloud Resource Automation Solution that actively manages and de-risks your cloud resources and helps you avoid wasting your cloud dollars. As a Seattle native and growing up in a tech household, Aran considers himself "as cloud-native as they come." Prior to starting Archera, he spent time at AWS and Microsoft Azure and also co-founded Glia Intelligence. Aran started Archera after noticing big corporations that had the software and data teams in place to fully automate all of the cloud management tasks enabled engineers to focus on higher value outcomes. Meanwhile, everyone else was devoting resources to predicting and managing costs and wasting valuable resources on things that should be automated. Archera is helping companies big and small find the best and most affordable cloud resources to fit their needs so they can get back to innovating their product and growing.. Listen in to hear how Aran and his team are saving companies millions, where he sees companies wasting money the most, and his insights into the unique challenges of different public cloud vendors.

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On this week’s episode of Hashmap on Tap, host Kelly Kohlleffel is joined by Tommy Dang. Tommy is Co-Founder and CEO at Mage where they are helping product developers use AI and data to make predictions for use cases such as churn prevention, product recommendations, customer lifetime value, and sales forecasting. Prior to Mage, Tommy was in Product and Engineering at Airbnb and also co-founded OnMyBlock. The goal at Mage is to make a product that is super easy and accessible to product developers. Their value comes from empowering current product developers to access and use AI technology by allowing them to build and deploy models rapidly and try out ideas without committing significant time and resources upfront. Listen in to the episode to hear how Mage does it, perspectives on AI/ML, Mage’s GTM strategy, and their plans for the future.

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Learn more about Mage: https://mage.ai

Get early access to Mage: https://mage.ai/start

Check out Tommy's blog posts "Why Mage Exists": https://www.mage.ai/blog/why-mage-exists

Connect with Tommy on LinkedIn: https://www.linkedin.com/in/dangtommy/

On tap for today's episode: Green Tea &  Be Well Tea

Contact Us: https://www.hashmapinc.com/reach-out

On this episode, host Kelly Kohlleffel is joined by Rick Lamers and Yannick Perrenet from the Netherlands. Rick and Yannick are co-founders at Orchest, which is an open-source, cloud-native, development environment built to make data pipelining quicker and easier for data scientists. Orchest helps you build data pipelines without frameworks by simply writing your data processing code directly in Python, R, Julia, or Bash. Rick and Yannick met at their university where they both continued to develop their love for computer science. They developed Orchest with data scientists top of mind. While developing Orchest they asked themselves, "How do we let data scientists independently get to production with their workloads that meet the high standards of production work?". They came to a solution that didn't require software engineering skills. Data scientists can execute a simple install and behind the scenes, Orchest builds a Docker container and makes it ready for use inside their cluster. Notebooks are something all data scientists are familiar with, so this is the key interface Orchest uses for interacting and coding. Their goal is to let data scientists focus on the data to analyze and learn from it. The core philosophy of Orchest is to create something that would allow data scientists to use the tools they are familiar with today and bring them into Orchest and continue their workflow, but in an environment that's going to allow them to scale without creating chaos. Everything Rick and Yannick do at Orchest revolves around taking the complexity out for data scientists so that they can continue to deliver more value from data.

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