Podcasts about snowflake computing

When you are enthusiastic and receptive to feedback, excellent conversations occur.And according to @Chris Degnan, Chief Revenue Officer at @Snowflake Computing, conflict in the workplace can be constructive rather than destructive when it's delivered in a respectful, curious way.Imagine that!But you don't have to just imagine it—you can live in that world."The Humility Essential for Success: You're part of that rocket ship, but you're not the rocket ship," says Degnan.He stressed the importance of maintaining humility, regardless of position, which will create an open, feedback-friendly culture. And that's an environment that will cause people to stick around.Resources: Harvard Business Review

Frank Slootman, CEO of Snowflake Computing, joins Sarah Guo and Elad Gil this week on No Priors. Before scaling Snowflake to its blockbuster IPO and beyond, Frank was also the CEO from early to scale for landmark enterprise companies ServiceNow and Data Domain. Frank grew up in the Netherlands and is also the author of three books: Amp It Up, Rise of the Data Cloud, and Tape Sucks. In this episode, our hosts talk with Frank about the opportunity for generative AI in the enterprise, why Snowflake isn't really a data warehousing company, their acquisitions of Neeva and Streamlit, apps within Snowflake, and how AI relates to traditional analytics and BI. He also talks about his personal journey, why it's always a good time to do performance management, and why most leaders struggle to raise the bar for performance. ** No Priors is taking a summer break! The podcast will be back with new episodes in three weeks. Join us on July 20th for a conversation with Devi Parikh, Research Director in Generative AI at Meta. ** No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode. Show Links: Forbes: How CEO-For-Hire Frank Slootman Turned Snowflake Into Software's Biggest-Ever IPO Amp It Up: Leading for Hypergrowth by Raising Expectations, Increasing Urgency, and Elevating Intensity Rise of the Data Cloud (Audible Audio Edition): Frank Slootman, Steve Hamm, Zach Hoffman, Snowflake: Books TAPE SUCKS: Inside Data Domain, A Silicon Valley Growth Story eBook : Slootman, Frank: Kindle Store Frank Slootman's LinkedIn Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SnowflakeDB Show Notes: [00:06] - Frank's Insights on Career Success as a three-time CEO [12:42] - The message of his book Amp It Up [25:01] - Future of Natural Language and Data [36:29] - Data Management and Industry Transformation Future [45:13] - Managing Resources in Changing Economic Environment [50:09] - Amping Up Energy and Intensity Amid Economic Headwinds

This week: the origins of data, and the future of the digital species. Our guest is business and tech leader Bob Muglia, a startup investor and advisor who played key roles in the emergence of Microsoft's database, server, and business software products, and served as the CEO of data warehouse company Snowflake Computing. He's the author, with Steve Hamm, of a new book called  "The Datapreneurs: The Promise of AI and the Creators Building Our Future," published by Peakpoint Press. Muglia connects the dots between early data innovation and the emerging era of artificial intelligence; talks about lessons from one of his favorite authors, Isaac Asimov; compares Microsoft and IBM to Microsoft and OpenAI; explains why he's ultimately an optimist about technology and humanity; and tells the story of the data center he built in his house when he was a Microsoft executive.  "We've gone from the verbal way of recording information ... to various forms of writing, to the printing press, to ultimately digital computers and the internet. And now data of every type is recording society in a way that essentially has a permanence attached to it. And these intelligent entities that we can create in the future will learn from all of this. ... It's a little scary, for sure, but it's pretty exciting." With GeekWire co-founder Todd Bishop; edited and produced by Curt Milton.See omny.fm/listener for privacy information.

Zavain Dar invests at the intersection and union of cutting-edge biotech and software. He has led Lux's investments in Primer, a machine intelligence startup; Clarifai, which democratizes cutting edge deep neural networks; Auransa, which is developing novel medicines based on computational insight applied to genomic data; Recursion which uses automation and deep learning to develop drugs for rare diseases; Tempo Automation, which applies software and automation to electronics manufacturing; Rigetti Computing, which is fabricating some of the fastest quantum chips in the world; Braid, which is bringing AI to medical diagnostics; Visor, which aims to simplify tax preparation; Computable Labs, which is building a decentralized data marketplace; Cryptonumerics, a data control company acquired by Snowflake Computing; The Stacks Foundation, which is making Bitcoin programmable; Runway, which is putting machine learning tools into the hands of creators; LabGenius, a protein drug discovery company; Anagenex, a drug discovery company leveraging DNA encoded libraries; Hugging Face, an open-source company democratizing Natural Language Processing; Dyno Therapeutics, an AI-powered gene therapy company; and Thrive Earlier Detection, an early cancer detection company that Exact Sciences agreed to acquire for $2.15 billion in 2020.

Q: How do you know when you're an ABM ROCK STAR? A: When the lawyers are afraid to stop you because you're making the company too much money. This is exactly what happened to Daniel G. Day, Director of Account-Based Marketing (ABM) and Market Planning at Snowflake Computing. Snowflake Computing is a cloud-based data-warehousing startup.  In this episode of the #FlipMyFunnel podcast, he touches on ABM best practices, legal woes, and how the new version of Terminus is a real game changer. ------ Join Sangram's "Becoming Intentional" newsletter for  1 min read on how to lead professionally, grow personally, and live fully. Only available on LinkedIn.

Entrevista con Enrique González, Sales Director para España y Portugal de Snowflake Computing.

Entrevista con Enrique González, Sales Director para España y Portugal de Snowflake Computing.

Daniel G. Day, Director of Account-Based Marketing (ABM) and Market Planning at Snowflake Computing is an ABM rock star.  Snowflake Computing is a cloud-based data-warehousing startup. In this episode of the #FlipMyFunnel podcast, he touches on ABM best practices and how the new version of Terminus is a real game changer.

With the 2019 CLOC Institute event in the rear-view mirror, we connect with Lucy Bassli, Deputy General Counsel of Legal Operations at Snowflake Computing and also Founder and Principal of Innolegal Services, to discuss the rise and relevance of legal operations from both an in-house and outside counsel perspective. Spoiler alert: We all need to stop using the expression “non-lawyer”!

With the 2019 CLOC Institute event in the rear-view mirror, we connect with Lucy Bassli, Deputy General Counsel of Legal Operations at Snowflake Computing and also Founder and Principal of Innolegal Services, to discuss the rise and relevance of legal operations from both an in-house and outside counsel perspective. Spoiler alert: We all need to stop using the expression “non-lawyer”!

Investors and venture capital firms are adopting the Get Big Fast strategy for startups - to gain the first mover advantage. But what challenges do companies face when they expand too quickly? Are all unicorns headed for IPO? Cloud-based data warehouse firm Snowflake Computing joined the prestigious club last year, and its Chief Revenue Officer Chris Degnan shares his insights.

What does it take to be successful and have longevity as a a CTO in healthcare tech today? In Larry Heminger’s case it takes optimism. Larry is the CTO of Sapiens Data Science, a company committed to increasing people’s life span through healthcare tech breakthroughs.   On today’s CTO Studio, we talk about how and why Larry joined the team at Sapiens, why he’s attracted to companies that are making a difference in people’s lives and what his Design for Success approach is all about. Join us for this illuminating discussion on today’s CTO Studio.     In this episode, you’ll hear: Why doesn't he see himself retiring - ever? How many years does it take for a medical breakthrough to make it to family physicians? As CTO, how to make decisions that stand the test of scale What is his Design for Success methodology? What is the Snowflake Computing approach, and why did Larry choose them? And so much more!   Larry is the CTO of Sapiens Data Science. Our very first topic is a dive into his journey of becoming their CTO. Larry tells us about his interesting ride; he had been working with ecoATM Gazelle for about 7.5 years and had been apart of their organization from their ealy start-up days.   Larry experienced a full 360 degree business cycle with ecoATM, going public through acquisition and then back to being a private company again.  The work they did (and still do today) was in the field of automated retail: recycling of cell phones.  Even though the work was amazing, he felt it was time to look for something new and different after his 7+ years with them. He wanted to do work that was meaningful and of benefit to everyone.   Using his experience with a previous healthcare start-up, Larry found a few new opportunities in San Diego that were health tech related. Sapiens specifically interested him because of their CEO, Brad Perkins. And Larry became even more enthusiastic after meeting with Brad, hearing of Brad’s passion and learning of their mission - Sapiens is in the business of adding more birthdays to people's lives. They help people live longer through the burgeoning fields of genomics and data science.   Next I asked him to describe his mindset coming from ecoATM, a company that was retail-focused, and then going into the health tech space with Sapiens.   Larry says there are many similarities and of course some differences. For him the key was and is feeling like he is doing something good. Like most of us, Larry spends so much time at work that he wants to feel like he's having an impact on people’s lives. For him it is not just about paycheck, it’s more the opportunity to help build a new, amazing company.   He goes on to say he believes healthcare will look very different in 10 years. One area in particular is the speed at which information becomes available to physicians, he says this will be sped up exponentially. Instead of taking almost two decades for your family physician to find out about medical breakthroughs, it will happen much, much faster. Patients will also be empowered with their own data and information.   My next question for him was where does Sapiens hit roadblocks with regulations and stereotypes? Those are definitely challenges they face as any healthcare company is going to be challenged with regulations, data privacy and security. Those aspects are all very important to the success of a healthcare company in tech and outside of tech.   Larry explains the basic strategy, something he calls design for success which applies to start ups as well as larger companies. It goes like this:   If you assume your company will be successful, and you draw out the architecture of your company with that success in mind, then what does your company look like a couple of years from now? If the business grows the way you think it will, then what compliance issues do you have to deal with? Those issues could include things like privacy, data security, FDA, etc.   Every day his job as a CTO is to make decisions about things like that, to work with the development team and technology partners. In Sapiens’ case, they choose technology partners to satisfy both security and scale requirements. It doesn't always cost more, but it may require a bit more design time in terms of thinking it out when choosing architectures, cloud, databases, development languages and every other decision you make when you are building your tech stack.   He asks himself questions like what does this look like three years from now?  What does business success look like?  What issues will we have? What security compliance do we need to satisfy? What sort of auditing will we need? He keeps those thoughts in mind as he is making decisions. In essence what he is saying is this:  be optimistic, set aggressive goals, assume there will be scale and success, and don't limit yourself in the present.   One of the promises he made to his CEO is to not do something quick and dirty, something he will have to throw away that will cost a million dollars to rebuild later on. Larry tells us he has experienced this firsthand, something he doesn’t want to go through again.   We dig into this topic more including why this approach is about selecting technologies that can scale in terms of capacity and cost. We also talk about why he went with Snowflake Computing and how their approach differs from other data storage and warehouse providers. Hear those discussions plus his tips for managing near-shore resources and how their data modeling actually works on today's CTO Studio.  

In this session, we learn how Instacart reimagined its catalog data processing pipeline to utilize Snowflake, the data warehouse built for the cloud. Instacart grew from a hand-entered catalog to one that processes billions of data points daily. Keeping pace with customer demand prompted Instacart to take an entirely new approach to addressing the unique challenges of grocery catalog curation. Through Snowflake's unique architecture, which separates compute from storage, Instacart has increased their ability to quickly scale while improving the accuracy, traceability, and quality of their reporting. In turn, better information leads to offering more customized grocery catalog options that delight their customers. This session is brought to you by AWS partner, Snowflake Computing.

WHAT'S THE SNOWFLAKE ARCHITECTURAL DIFFERENCE?  Meghann Chilcott is the host of FutureDose.Tech and interviews Todd Crosslin, the VP of Healthcare Strategy at Snowflake Computing.  Snowflake's unique data warehouse architecture provides complete relational database support for both structured data, such as CSV files and tables, and semi-structured data, including JSON, Avro, Parquet, etc., all within a single, logically integrated solution. Snowflake is a data warehouse-as-a-service, which requires no management and features separate compute, storage, and cloud services that can scale and change independently. Metadata is also automatic. What's more, metadata processing within Snowflake does not compete with the compute resources running your queries. This means Snowflake can scale near-linearly as your compute resources scale out. Secure by design and compatible with popular ETL and BI tools, Snowflake enables data warehouse managers to support enterprise-wide data warehouse requirements with virtually unlimited concurrency. Snowflake is also a powerful query processing back-end platform for developers creating modern data-driven applications. https://www.snowflake.com/product/why-snowflake/  See omnystudio.com/listener for privacy information.

WHAT'S THE SNOWFLAKE ARCHITECTURAL DIFFERENCE?  Meghann Chilcott is the host of FutureDose.Tech and interviews Todd Crosslin, the VP of Healthcare Strategy at Snowflake Computing.  Snowflake’s unique data warehouse architecture provides complete relational database support for both structured data, such as CSV files and tables, and semi-structured data, including JSON, Avro, Parquet, etc., all within a single, logically integrated solution. Snowflake is a data warehouse-as-a-service, which requires no management and features separate compute, storage, and cloud services that can scale and change independently. Metadata is also automatic. What’s more, metadata processing within Snowflake does not compete with the compute resources running your queries. This means Snowflake can scale near-linearly as your compute resources scale out. Secure by design and compatible with popular ETL and BI tools, Snowflake enables data warehouse managers to support enterprise-wide data warehouse requirements with virtually unlimited concurrency. Snowflake is also a powerful query processing back-end platform for developers creating modern data-driven applications. https://www.snowflake.com/product/why-snowflake/  See omnystudio.com/listener for privacy information.

We sat down with Chris Degnan, CRO of Snowflake Computing, one of the fastest growing SaaS businesses in the world, to learn how he went from being the first rep to leading the sales entire sales organization.

We sat down with Chris Degnan, CRO of Snowflake Computing, one of the fastest growing SaaS businesses in the world, to learn how he went from being the first rep to leading the sales entire sales organization.

Bob Muglia, CEO of cloud data services firm Snowflake Computing, discusses why wise companies know better than to go it alone. Read more: https://mackinstitute.wharton.upenn.edu/2018/cloud-data-with-bob-muglia/ See acast.com/privacy for privacy and opt-out information.

The offer has been signed. The candidate is committed. Now what? Ever had a person sign your offer then not start? Most likely you failed to keep them engaged in active participation while awaiting their start date. Or maybe, you had a person start, and they didn't come back to work the next day, it’s not their fault; it’s yours. This week, Elizabeth Pate-Morton joined us on Hire Power Radio Show to discuss the crucial steps your company should take after an offer is signed to keep employees engaged and invested during the onboarding process, and how doing so contributes to organizational effectiveness. Elizabeth Pate-Morton has extensive experience creating a solid Human Resource foundation for companies looking to grow rapidly into their next phase. With 30 years of progressive Human Resource Management experience, 20 in Silicon Valley and International tech companies, Elizabeth brings a unique and refreshing style of HR to the table. With the strong belief in “HR as a Service,” she has been very successful creating amazing cultures that encourage employees to be creative, work on hard problems together and have fun doing it. She has been a part of eight Mergers and Acquisitions and an IPO. She has most recently been a key member of the HR leadership teams at Apigee (now Google), Lockheed Martin, and Savi Technology. Elizabeth is currently the Human Resource Leader at Snowflake Computing.To learn more about Elizabeth Pate-Morton and her work with Snowflake Computing, visit www.snowflake.net.  

Until recently, the concept of Agile data warehousing was ludicrous. Even today there has been a lot of resistance and minimal exposure to Agile in that industry, despite the need for data warehousing processes to innovate, if only to improve their cycle time. But Kent Graziano of Snowflake Computing has seen a shift in the last two years thanks to the work his company has done to bring the Agile principles to traditional data warehousing. Most exciting are the new techniques in Agile data engineering and modeling, Snowflake's "cloud data warehousing as a service" and its dynamic sizing and cost to address real-world problems in real time. Agile data warehousing is possible today because of enabling technology like Snowflake's, which sees queries of petabytes of data daily. The question isn't so much about the technology anymore, but more about whether large organizations are ready for the cloud. This is Kent's second visit with Agile Amped. See his first appearance here: http://www.solutionsiq.com/resources/... SolutionsIQ's Leslie Morse hosts at Southern Fried Agile 2016 in Charlotte, North Carolina. About Agile Amped The Agile Amped podcast series connects the community through compelling stories, passionate people, shared knowledge, and innovative ideas. Fueled by inspiring conversations with industry thought leaders, Agile Amped offers valuable content – anytime, anywhere. To receive real-time updates, subscribe! Subscribe: http://bit.ly/SIQYouTube, http://bit.ly/SIQiTunes, http://www.solutionsiq.com/agile-amped/ Follow: http://bit.ly/SIQTwitter  Like: http://bit.ly/SIQFacebook

Kent Graziano is excited to achieve one of his goals for presenting at Agile Alliance Technical Conference 2016: educating people about Data Vault in his session "Agile Data Engineering: Introduction to Data Vault Data Modeling". As a technical evangelist, Kent is passionate about introducing people to concepts that are necessary in today's Big Data-driven economy. (For interested parties, according to Kent's presentation: "The Data Vault is a detail oriented, historical tracking and uniquely linked set of normalized tables that support one or more functional areas of business.") Kent Graziano is a Senior Technical Evangelist for Snowflake Computing and an award winning author, speaker, and trainer, in the areas of data modeling, data architecture, and data warehousing. SolutionsIQ's Neville Poole hosts. About Agile Amped The Agile Amped podcast series engages with industry thought leaders at Agile events across the country to bring valuable content to subscribers anytime, anywhere. To receive real-time updates, subscribe at YouTube, iTunes or SolutionsIQ.com. Subscribe: http://bit.ly/SIQYouTube, http://bit.ly/SIQiTunes, http://www.solutionsiq.com/agile-amped/ Follow: http://bit.ly/SIQTwitter Like: http://bit.ly/SIQFacebook