EP 43: Stephen Pace from Snowflake
07/25/24 • 71 min
Stephen Pace, Principal Sales Engineer at Snowflake, joins hosts John and Bobby in this episode of the Energy Bytes Podcast to explore how Snowflake's cutting-edge AI tools are transforming data management in the energy sector. With his extensive background, including a journey from Shell to Snowflake, Stephen shares insights into the evolution of Snowflake’s multicloud capabilities and AI tools like Snowpark and Snowpipe Streaming. These innovations are solving scalability and real-time processing challenges in large-scale industrial applications, offering energy companies new ways to enhance data strategies and streamline operations. Stephen also provides a look into Snowflake’s future developments and its continued integration of AI and machine learning. Based in Houston, Stephen’s expertise in data management makes him a key player in helping organizations maximize the potential of Snowflake’s platform.
Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”
Click here to watch a video of this episode.00:00 - Intro
4:09 - What is Snowflake
6:32 - Snowflake's Architecture
9:52 - Snowflake’s Growth
10:32 - Snowflake’s Pricing
12:48 - Snowflake’s Performance Index
15:36 - Snowflake’s Snowpark Optimized Servers
17:26 - Snowflake’s Data Sharing
18:58 - Autosuspend
20:03 - Snowflake’s Managed Service
21:54 - Success Stories
23:58 - Will Snowflake Get into the Vector Database Space
29:43 - How Snowflake is Enabling AI
33:59 - Using Language Models to Extract Data
36:58 - Breaking Down Data Silos
39:18 - Storing Structured and Semi-Structured Data
41:45 - From Easy to Use to Production Worthy
47:04 - Snowpark and Pandas
50:04 - Multi-Compute and Parallel Processing
51:26 - Observability
52:45 - Snowpipe
58:10 - Favorite Use Case
1:01:50 - Customer Feedback
1:03:49 - Native Connectors
1:06:38 - Google
1:07:23 - Lightning Round
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https://www.tiktok.com/@digitalwildcatters
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https://twitter.com/DWildcatters
Stephen Pace, Principal Sales Engineer at Snowflake, joins hosts John and Bobby in this episode of the Energy Bytes Podcast to explore how Snowflake's cutting-edge AI tools are transforming data management in the energy sector. With his extensive background, including a journey from Shell to Snowflake, Stephen shares insights into the evolution of Snowflake’s multicloud capabilities and AI tools like Snowpark and Snowpipe Streaming. These innovations are solving scalability and real-time processing challenges in large-scale industrial applications, offering energy companies new ways to enhance data strategies and streamline operations. Stephen also provides a look into Snowflake’s future developments and its continued integration of AI and machine learning. Based in Houston, Stephen’s expertise in data management makes him a key player in helping organizations maximize the potential of Snowflake’s platform.
Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”
Click here to watch a video of this episode.00:00 - Intro
4:09 - What is Snowflake
6:32 - Snowflake's Architecture
9:52 - Snowflake’s Growth
10:32 - Snowflake’s Pricing
12:48 - Snowflake’s Performance Index
15:36 - Snowflake’s Snowpark Optimized Servers
17:26 - Snowflake’s Data Sharing
18:58 - Autosuspend
20:03 - Snowflake’s Managed Service
21:54 - Success Stories
23:58 - Will Snowflake Get into the Vector Database Space
29:43 - How Snowflake is Enabling AI
33:59 - Using Language Models to Extract Data
36:58 - Breaking Down Data Silos
39:18 - Storing Structured and Semi-Structured Data
41:45 - From Easy to Use to Production Worthy
47:04 - Snowpark and Pandas
50:04 - Multi-Compute and Parallel Processing
51:26 - Observability
52:45 - Snowpipe
58:10 - Favorite Use Case
1:01:50 - Customer Feedback
1:03:49 - Native Connectors
1:06:38 - Google
1:07:23 - Lightning Round
https://www.instagram.com/digitalwildcatters
https://www.tiktok.com/@digitalwildcatters
https://www.facebook.com/digitalwildcatters
https://twitter.com/DWildcatters
Previous Episode
EP 42: Josh Politte from ACT Solutions & Consulting
Josh Politte, President & CEO of ACT Solutions & Consulting, discusses how technology is transforming the energy sector. He shares insights on advancements in cybersecurity, AI, and data management, highlighting solutions like multi-factor authentication (MFA), passwordless approaches, and AI-driven security enhancements. Josh simplifies complex topics such as AI, machine learning, and blockchain, using real-world examples to make them more relatable. He also touches on trends like Snowflake for data management and the potential of quantum computing to revolutionize security. With his extensive experience, Josh provides a clear vision for how technology will continue to shape the future of energy and cybersecurity.
Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”
Click here to watch a video of this episode.00:00 - Intro
00:30 - Snowflake News
02:27 - How RedBit Uses Snowflake
07:58 - Distributed Computing
09:14 - Silicon Valley Insights
11:32 - Industrial Revolutions
13:39 - Intro Josh Politte
14:07 - Communicating Solution Value
16:40 - Selling Solutions to Management
20:32 - Time is Not a Value Proposition
24:22 - Company AI Utilization
26:52 - Azure AI
30:50 - Power Automate
32:00 - Power Automate Desktop
36:07 - Desktop Flows
38:36 - Citizen Development Program
42:21 - Understanding Data Lakes
44:33 - Power Apps and SharePoint Lists
47:44 - Exploring Dataverse
48:33 - Dynamics 365 Overview
51:45 - Hidden Gems in Power Platform
53:08 - Power BI vs Spotfire
57:02 - Power Fabric Capabilities
57:55 - Low Code vs Full Stack Development
59:45 - Power Query Pagination
1:01:02 - Power Query API Calls
1:04:53 - Favorite Cloud Provider
1:06:00 - Favorite Non-Microsoft Tech
1:09:48 - Favorite Board or Video Game
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Next Episode
EP 44: How Shipping Intel is Redefining Maritime with AI
Cameron Amigo, Maritime Data Guru at Orbit MI, and Jordan Taylor, Technical Advisor at Shipping Intel, join hosts Bobby and John in this episode of Energy Bytes to explore the revolutionary impact of AI in the maritime industry. From open-source AI models like Llama 3.1 to the use of React methodology for creating efficient, domain-specific tasks, Cameron and Jordan dive into how AI is transforming operations. They discuss how these technologies are improving safety, boosting operational efficiency, and reducing commercial risks in an industry that has long struggled with data silos and inefficiencies. With their extensive experience in maritime operations and AI innovation, Cameron and Jordan offer unique insights into how AI is solving complex problems and shaping the future of maritime technology.
Digital Wildcatters brings the energy community together through events, cutting-edge content, and powerful tools. Join our online community at collide.io. Engage with experts, level up your career, and ask Collide AI your toughest technical questions.”
Click here to watch a video of this episode.00:00 - Intro
00:41 - OpenAI's LLM Overview
02:02 - OpenAI's API Features
08:16 - Insights on Shipping Intel
17:34 - REACT and RAG Explained
19:56 - REACT Methodology Breakdown
22:45 - Importance of Context in Data
25:48 - Tagging and Annotating Data
26:37 - Document Structure Essentials
27:40 - Chunking Techniques
29:08 - Low-Code Tools for Data Science
29:53 - Future Trends in Data Science
32:36 - Pathways to Enter Data Science
33:44 - Data Maturity Significance
37:52 - Understanding Multimodal Models
38:52 - Querying Clean Datasets with OpenAI
42:50 - Reducing Bias in AI Models
45:23 - Trust Issues in Maritime Industry
48:35 - Gaining Stakeholder Buy-In
54:07 - Addressing Real World Problems
58:07 - Analyzing Sensor Data
1:00:24 - Future Improvements in AI Models
1:04:20 - Starlink and Connectivity
1:09:21 - Concerns about AI Language Development
1:11:14 - Rapid Fire Questions
1:15:00 - Camunda Overview
1:15:30 - Recommended Books
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